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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,909 datasets
854.0 MB of BAM and BAI files containing RNA sequencing alignment data, published by Artem Toropov on figshare under a CC-BY-4.0 license. The dataset was last updated on 2026-05-12 14:58:00.
A geospatial dataset from the Department of Energy, Environment and Climate Action identifies modelled forest categories on public land, including areas likely to contain old-growth forest. The layer was created through analysis of authoritative forest disturbance datasets. It was last updated on 2026-04-09 and is available under a CC-BY-4.0 license.
A figshare document presents research on the causal link between the gut microbe Terrisporobacter and papillary thyroid carcinoma (PTC). The analysis uses two-sample Mendelian randomization on large-scale GWAS data and validates findings in 450 PTC patients from The Cancer Genome Atlas. It identifies a causal odds ratio of 2.06 for PTC risk and correlations with NTRK1 upregulation and immunosuppressive tumor microenvironment features.
A figshare document by Jia Li presents a multi-stage study linking the gut microbe Terrisporobacter to papillary thyroid carcinoma (PTC). The analysis includes Mendelian randomization results from large-scale GWAS data and validation in 450 PTC patients from The Cancer Genome Atlas. It reports correlations between microbial abundance, NTRK1 gene expression, immune cell infiltration, and patient survival.
Svetlana Colac's dataset comprises genomic and phenotypic data for 99 Klebsiella pneumoniae strains collected from nine Moldovan hospitals between 2020 and 2023. Phenotypic testing showed high resistance to key antibiotics, including 68% resistance to carbapenems. Whole-genome sequencing identified 16 distinct MLST types, with ST395 being the most prevalent, and characterized associated resistance genes, plasmid types, and virulence scores.
A 33.7 KB Excel dataset details the enhancement of rare ginsenosides in Panax ginseng via solid-state fermentation by Aspergillus cristatus JH-5. It contains genomic and HPLC quantification results, authored by Fei Su and updated in March 2026.
A geospatial dataset containing two overlay maps for the Ipswich Planning Scheme: UXO Search/Clearance Required and UXO Warnings Required. The dataset is maintained by the Ipswich City Council and is updated on changes to the planning scheme, with a last update recorded in April 2026.
A geospatial dataset containing two overlay maps for the Ipswich Planning Scheme: UXO Search/Clearance Required and UXO Warnings Required. The dataset is maintained by the Ipswich City Council and is updated on changes to the planning scheme, with a last update recorded in April 2026.
300 synthetic traces in German model the decision-making chain of a tuning mechanic. The dataset, authored by jmp1987, was last updated on 2026-05-15. Each trace follows a structured sequence: observation, hypothesis, action (part selection), feedback, iteration, and final response.
MERRA-2 M2IMNXLFO is an instantaneous 2-dimensional monthly mean data collection of land surface forcing parameters, including height, specific humidity, wind, and air temperature. The dataset is produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4 and covers the period from 1980 to the present. Data is available with a latency of approximately three weeks after the end of each month.
Hyacinth high-throughput sequencing data is a 106.3 MB dataset shared by Zhihao Zuo on figshare. The dataset includes files in GENE_TRANS_MAP, GFF3, and XLSX formats and is licensed under CC-BY-4.0. It was last updated on May 2, 2026.
M2TUNXGLC is a 2-dimensional monthly diurnal means data collection from NASA's MERRA-2 global atmospheric reanalysis. It contains assimilated land ice surface diagnostics, such as fractional glaciated snow cover and snow mass, produced by the NASA Global Modeling and Assimilation Office using the GEOS model. The dataset covers the period from 1980 to the present with a latency of approximately three weeks after the end of each month.
NASA's MERRA-2 reanalysis provides assimilated air temperature tendencies on 42 pressure levels. The collection consists of monthly diurnal means, time-stamped at 3-hour intervals from 01:30 UTC, covering the period from 1980 to the present with a latency of approximately three weeks. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
MERRA-2 is a global atmospheric reanalysis produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4. The M2IUNXASM collection provides instantaneous 2-dimensional monthly diurnal means of assimilated meteorological diagnostics at single levels, such as temperature, wind, surface pressure, and precipitable water. The dataset covers the period from 1980 to the present, with data latency of approximately three weeks after the end of each month.
M2IUNXINT is an instantaneous 2-dimensional monthly diurnal means data collection from NASA's MERRA-2 global atmospheric reanalysis. It consists of vertically integrated diagnostics, such as kinetic energy and total precipitable water, provided as hourly means from 00:00 to 23:00 UTC. The dataset covers the period from 1980 to the present and is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
M2IUNXLFO is an instantaneous 2-dimensional monthly diurnal means data collection from NASA's MERRA-2 global atmospheric reanalysis. It provides hourly land surface forcing parameters, such as height, specific humidity, wind, and air temperature, from 1980 to the present. The dataset is produced by NASA's Global Modeling and Assimilation Office using the Goddard Earth Observing System Model version 5.12.4.
MERRA-2 M2TUNXADG is a time-averaged 2-dimensional monthly diurnal means data collection for aerosol diagnostics. The dataset covers the period from 1980 to the present and is produced by NASA's Global Modeling and Assimilation Office using the Goddard Earth Observing System Model version 5.12.4. It contains assimilated aerosol diagnostics such as dry and wet deposition, dust emission and sedimentation, and organic carbon convective scavenging.
NASA's MERRA-2 global atmospheric reanalysis provides monthly diurnal means of cloud properties simulated by the CFMIP Observations Simulator Package (COSP). The dataset covers the period from 1980 to the present, with a latency of approximately three weeks after each month. It includes parameters such as ISCCP total cloud area fraction and MODIS cloud fraction for water and ice at different altitudes.
1980-present monthly diurnal means of cloud diagnostics from NASA's MERRA-2 atmospheric reanalysis. The collection consists of assimilated data fields, such as updraft areal fraction and cloud liquid/ice mass fractions, averaged for each 3-hour period and stamped at central times like 01:30 UTC. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
MERRA-2 is a global atmospheric reanalysis produced by NASA's Global Modeling and Assimilation Office using the GEOS 5.12.4 model. The M2TUNXINT collection provides monthly diurnal means of vertically integrated diagnostics for each hour, timestamped at the central time (e.g., 00:30 UTC). It covers the period from 1980 to the present with a latency of approximately three weeks after the end of each month.