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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,108 datasets
Two adult case reports detail the rare occurrence of KMT2A gene amplification in B-cell acute lymphoblastic leukemia (B-ALL), a genetic alteration present in less than 1% of cases. The data, authored by Min Gao and published on figshare in March 2026, includes clinical and genetic details for two patients, aged 58 and 66, with associated TP53 variants and CRLF2 rearrangement. This 16.5 KB document is supplemented by a review of nine additional published cases, highlighting the aggressive nature of this leukemia subtype.
403 mothers who delivered at public hospitals in Shashemene town, south Ethiopia, in 2021. The dataset, shared by Dedefo Gemeda Anbesa on figshare, contains obstetric-related variables for this specific population and time period.
Shashemene town in south Ethiopia is the location for this survey of 403 respondents from public hospitals in 2021. The dataset, authored by Dedefo Gemeda Anbesa, captures socio-economic characteristics of the participants. It is a 9.5 KB Excel file shared under a CC-BY-4.0 license.
83 patients receiving mycophenolate mofetil plus hydroxychloroquine and 94 receiving MMF alone were analyzed in a multicenter retrospective cohort study. The dataset likely contains patient outcomes, including complete and overall remission rates at 12 months, as well as adverse events. Author Yang Yang published the data on figshare under a CC-BY-4.0 license.
A 538.1 KB document published on figshare in March 2026 contains the supplementary data for a systematic review and meta-analysis. The analysis, registered as PROSPERO CRD420251055491, pools results from five studies to investigate associations between periodontitis, tooth loss, and mild cognitive impairment (MCI). The author is Congcong Zou.
Congcong Zou's supplementary file from a 2026 meta-analysis investigates the association between periodontitis, tooth loss, and mild cognitive impairment (MCI). The 519.8 KB document contains the full analysis, including pooled odds ratios, confidence intervals, and results from subgroup and sensitivity analyses. The work is licensed under CC-BY-4.0 and was last updated on March 18, 2026.
422 Enterobacteriaceae isolates from urinary tract infection patients in Tétouan, Morocco, were tested for antibiotic resistance patterns between 2022 and 2023. The dataset, authored by Laila Farouk and shared on figshare, is a 9.5 KB Excel file. Its specific focus on a single region and time period provides a snapshot of local antimicrobial resistance trends.
A 11.5 KB Excel file published by Jing Wu on figshare in April 2026. It contains primer sequences designed for CRISPR/Cas9-mediated genetic modification of the RALP1 gene in the malaria parasite Plasmodium falciparum. The data supports the specific study investigating the gene's role in schizont maturation and erythrocyte invasion.
Hourly time-averaged land surface diagnostics from NASA's MERRA-2 global atmospheric reanalysis. The collection includes variables such as baseflow flux, runoff, soil wetness, and soil temperature at six layers, covering the period from 1980 to the present. NASA's Global Modeling and Assimilation Office (GMAO) produces the data using the Goddard Earth Observing System Model (GEOS) version 5.12.4.
NASA's MERRA-2 reanalysis provides global atmospheric data from 1980 to the present. The M2T3NPCLD collection contains 3-hourly time-averaged assimilations of cloud diagnostics, such as updraft fraction and cloud liquid/ice mass, across 42 pressure levels. The data is produced by NASA's Global Modeling and Assimilation Office using the GEOS model.
MERRA-2 M2T1NXSLV is an hourly time-averaged 2-dimensional data collection from NASA's Global Modeling and Assimilation Office. It contains meteorology diagnostics at popular vertical levels, including air temperature, wind components, sea level pressure, and precipitable water vapor. The dataset covers the period from 1980 to the present, produced using the Goddard Earth Observing System Model version 5.12.4.
72 model layers of assimilated radiation diagnostics, such as air temperature tendency due to longwave and shortwave radiation, are available every three hours starting from 01:30 UTC. NASA's Global Modeling and Assimilation Office produced this dataset using the GEOS model version 5.12.4, covering the period from 1980 to the present with a latency of approximately three weeks after each month.
NASA's MERRA-2 reanalysis provides global 3-hourly time-averaged cloud diagnostics from 1980 to the present. The dataset contains assimilated variables like cloud fraction for radiation and relative humidity across 72 atmospheric model layers. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4.
Approximately 200 participants were analyzed in a study comparing inflammatory and metabolic markers between symptomatic COVID-19 patients and healthy controls. The data, published by Joanna Adamiec-Mroczek on figshare, shows significantly higher values for markers like NSE, S100B, and monocyte counts in the patient group. A multivariate model identified monocyte count, neutrophil count, and NSE as positively associated with the likelihood of a COVID-19 diagnosis.
MERRA-2 inst1_2d_asm_Nx is an hourly, instantaneous collection of assimilated meteorological diagnostics from NASA's Global Modeling and Assimilation Office. It provides global data on parameters like temperature, wind components, surface pressure, and total precipitable water from 1980 to the present. The dataset is produced using the Goddard Earth Observing System Model version 5.12.4 and has a latency of approximately three weeks after the end of each month.
Vertically integrated atmospheric diagnostics from NASA's MERRA-2 reanalysis, including kinetic energy, virtual potential temperature, and total precipitable water. The dataset provides hourly instantaneous data from 1980 to the present, produced by NASA's Global Modeling and Assimilation Office using the GEOS model. Data files are released with a latency of approximately three weeks after the end of each month.
M2C0NXLND is a collection of 2-dimensional constant land surface parameters from NASA's MERRA-2 atmospheric reanalysis. The dataset includes parameters such as soil layer thickness, porosity, and wilting point, produced by NASA's Global Modeling and Assimilation Office using the GEOS 5.12.4 model. It was last updated on March 13, 2026.
M2T1NXINT is an hourly time-averaged 2-dimensional data collection from NASA's MERRA-2 global atmospheric reanalysis. The dataset provides vertically integrated diagnostics of water and energy, covering the period from 1980 to the present with a latency of approximately three weeks after each month. It is produced by NASA's Global Modeling and Assimilation Office using the Goddard Earth Observing System Model version 5.12.4.
MERRA-2 provides hourly time-averaged assimilated aerosol diagnostics from 1980 to the present, with a latency of about 3 weeks after each month. The data includes fields such as dry and wet deposition of aerosol components, dust emission and sedimentation for size bins, and organic carbon convective scavenging. This global atmospheric reanalysis is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
1980-present time series of assimilated land ice surface diagnostics produced by NASA's Global Modeling and Assimilation Office (GMAO). The dataset provides 3-hourly time-averaged values for variables like fractional glaciated snow cover, snow mass, and snow depth, starting from 01:30 UTC. It is part of the MERRA-2 global atmospheric reanalysis and is updated with a latency of approximately three weeks after the end of each month.