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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
27,749 datasets
MERRA-2 tavgU_2d_lnd_Nx provides monthly diurnal means of land surface diagnostics from NASA's global atmospheric reanalysis. The dataset includes hourly time-averaged fields such as baseflow flux, runoff, and soil temperature across six layers, covering the period from 1980 to the present. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
MERRA-2 tavgU_2d_int_Nx provides monthly diurnal means of vertically integrated water and energy diagnostics from NASA's global atmospheric reanalysis. The dataset covers the period from 1980 to the present, updated with a latency of approximately three weeks after each month. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
MERRA-2 tavgU_2d_glc_Nx provides monthly diurnal means of assimilated land ice surface diagnostics, such as fractional glaciated snow cover and snow mass. This data collection is produced by NASA's Global Modeling and Assimilation Office using the GEOS model and covers the period from 1980 to the present. Data are timestamped at 3-hour intervals starting from 01:30 UTC.
M2TUNXCSP provides global, hourly diurnal cloud property means simulated by the CFMIP Observations Simulator Package (COSP) for each month. NASA's Global Modeling and Assimilation Office (GMAO) produces this data as part of the MERRA-2 reanalysis, covering the period from 1980 to the present. The collection includes parameters like ISCCP total cloud area fraction and MODIS cloud fraction and particle size for water and ice clouds.
MERRA-2 tavgU_2d_adg_Nx provides time-averaged 2-dimensional monthly diurnal means for assimilated aerosol diagnostics. 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.
1980 to present global atmospheric reanalysis data providing instantaneous, 2-dimensional monthly diurnal means of land surface forcing parameters. The collection includes hourly means for parameters like height, specific humidity, wind, and air temperature at the model surface layer. Produced by NASA's Global Modeling and Assimilation Office using the GEOS model version 5.12.4.
M2IUNXINT provides instantaneous, 2-dimensional monthly diurnal means of vertically integrated atmospheric diagnostics from NASA's MERRA-2 reanalysis. The collection includes fields such as kinetic energy, virtual potential temperature, and total precipitable water, with data for each hour from 00:00 to 23:00 UTC. Produced by NASA's Global Modeling and Assimilation Office (GMAO), it covers the period from 1980 to the present.
1980 to present global atmospheric reanalysis data from NASA's Global Modeling and Assimilation Office. This collection provides instantaneous, diurnally resolved monthly means for single-level meteorological parameters at 0.625 x 0.5 degree resolution. It is produced using the Goddard Earth Observing System Model version 5.12.4 and is updated with a latency of approximately three weeks.
M2IMNXLFO is an instantaneous, 2-dimensional monthly mean collection of land surface forcing parameters from NASA's MERRA-2 global atmospheric reanalysis. Produced by NASA's Global Modeling and Assimilation Office, the dataset provides parameters like height, specific humidity, wind, and air temperature for the model surface layer. It covers the period from 1980 to the present, with data latency of approximately three weeks after each month.
282 documents catalog research on marine mammals in Antarctica conducted by South American institutions. The collection includes 155 articles, 119 event summaries, and several thesis works, compiled by SCIOPS through searches of academic databases and libraries. Analysis shows 72% of documents relate to Pinnipedia species, while 23% focus on Cetacea.
ISTAR company has produced elevation data covering a total area of 1 million square kilometers since 1986. The data is derived from aerial photographs and SPOT satellite imagery using automatic correlation techniques. Products include digital elevation models, orthoimages, and extracted linear and area features.
Sentinel-5P TROPOMI provides high-resolution atmospheric composition measurements from a satellite launched by the European Space Agency and the Kingdom of the Netherlands. This product combines S5P observations with VIIRS cloud data from the U.S. Suomi NPP satellite, offering pixel-level cloud classifications and sun-normalized radiance statistics. Data collection for this specific product began on August 6, 2019.
PanelMarkings is a geospatial dataset from the City of Seattle's SDOT Transportation account, representing roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, and bus zones. The data is part of a larger channelization layer and is updated dynamically via AutoCAD. It was last updated on 2026-03-22.
A dynamic dataset from the City of Seattle's SDOT Transportation account, last updated on 2026-03-22. It represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, and bus zones. The data is structured into layers including Vertical Elements, Lane Widths, Panel Markings, and Longitudinal Markings.
TransverseMarkings is a dataset from the City of Seattle's SDOT Transportation account, representing roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, and bus zones. The data is a common layer created from a read-only view of a feature layer and is made available in Open Data. It was last updated on 2026-03 22.
San Francisco International Airport monitors aircraft noise levels on the San Francisco Peninsula 24/7. Louder noise events exceeding defined thresholds at 29 specific monitor sites are recorded, with data available starting January 2005 and updated monthly. This dataset is correlated to SFO aircraft operations and serves as the source for exceedance figures in the Airport Director's Report.
RNA sequencing data from a study of Mycobacterium tuberculosis-infected macrophages. The dataset was generated by author Tina Truong to investigate the role of the ubiquitin ligase CBL in regulating antiviral and antibacterial immune responses. It includes mass spectrometry data identifying over 46,000 ubiquitylated peptides and was last updated on March 17, 2026.
SEC-EDGAR is a dataset of all major filings from the SEC EDGAR database, containing 590 GB of data spanning 8 million samples and 43 billion tokens. It was released by Datamule, Teraflop AI, and Eventual, with the bulk data collected using the datamule-python library and official API created by John Friedman. The dataset was last updated on 2026-04-08.
Geological Atlas of the Western Canada Sedimentary Basin includes this GIS dataset representing the Duvernay Petroleum System. Shapefiles were created by the Alberta Geological Survey from mid-1990s digital files and edited in 2005-06. The data is part of a reference volume documenting subsurface geology.
The British Geological Survey's Lexicon provides formal definitions for over 10,000 named geological units, including bedrock and superficial deposits. This snapshot from September 2017 includes each unit's name, unique identifier, rank, age, lithology, boundaries, and bibliographical references. It covers the United Kingdom and its associated continental shelf, incorporating both current and obsolete names.