Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,404
datasets available to search
ShareScore release 0.9.0
Dataset results
4,404 results for “digits”
Molecular classification of mature aggressive B cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens [Frozen tissue]
GEO Series GSE48183. Homo sapiens. 50 samples. Type: Expression profiling by array.
PAT-seq: a simple approach to digital gene expression, the measure of poly(A)-tail length and its position in eukaryotic transcriptomes
GEO Series GSE53461. Saccharomyces cerevisiae. 13 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HT29_batchC
GEO Series GSE250624. Homo sapiens. 60 samples. Type: Expression profiling by high throughput sequencing.
Spatial transcriptomics reveals increased energetic requirements underpinning age-dependent declines in digit regeneration rescued through administration of OAA
GEO Series GSE180682. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HT29_batchD
GEO Series GSE250625. Homo sapiens. 60 samples. Type: Expression profiling by high throughput sequencing.
Illumina Solexa Digital Gene Expression Sequencing Facilitates Quantitative Analysis of Wild Type (Kasa-1) and OsMYB103L overexpression transgenic rice plant (Y103-1). Transcriptomes
GEO Series GSE52394. Oryza sativa. 2 samples. Type: Expression profiling by high throughput sequencing.
High-throughput tissue dissection and cell purification with digital cytometry [healthy adults]
GEO Series GSE127813. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Digital Spatial Profiling of tumor microenvironment of classic Hodgkin lymphoma.
GEO Series GSE218703. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing; Other.
Parsing digital or analogue TCR performance through piconewton forces
GEO Series GSE240414. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Digital Gene Expression (DGE) of thyroid hormone (T3)-responsive genes in C17.2 cells stably transfected with thyroid hormone receptors alpha and beta
GEO Series GSE38539. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Digital Spatial Profiling reveals tumor microenvironment of Hodgkin-like adult T-cell leukemia/lymphoma.
GEO Series GSE213461. Homo sapiens. 12 samples. Type: Other.
Multiple annealing and looping based amplification cycles for digital transcriptomics (MALBAC-DT) of single cells from the developing mouse cortex and hippocampus
GEO Series GSE162509. Homo sapiens. 42 samples. Type: Expression profiling by high throughput sequencing.
Single-cell profiling of penta- and tetradactyl mouse limb buds identifies early mesenchymal progenitors required to specify digit numbers and asymmetry
GEO Series GSE267005. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Digital gene expression (DGE) based transcript profiling of CDK inhibitors
GEO Series GSE125215. Homo sapiens. 335 samples. Type: Expression profiling by high throughput sequencing.
Digital Lunar Orbiter Photographic Atlas of the Moon
The Lunar Orbiter Photographic Atlas of the Moon is considered the definitive reference manual to the global photographic coverage of the Moon. The images contained within the atlas are excellent for studying lunar morphology because they were obtained at low to moderate Sun angles. The digital Lunar Orbiter Atlas of the Moon is a reproduction of the 675 plates contained in Bowker and Hughes. The digital archive, however, offers many improvements upon its original hardbound predecessor. Multiple search capabilities were added to the database to expedite locating images and features of interest. For accuracy and usability, surface feature information has been updated and improved. Lastly, to aid in feature identification, a companion image containing feature annotation has been included.
OLS DIGITAL DERIVED LIGHTNING FROM DMSP F10 V1
The OLS Digital Derived Lightning from DMSP F10 dataset consists of global lightning signatures from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) flown on DMSP 5D-2/F10 that have been analyzed from visible channel imagery. These signatures show up as horizontal streaks on the images. The time and location of each of these streaks have been extracted and are stored by month in HDF data files. Data are available from February 1, 1994 through May 31, 1994.
Greenland Snow Pit and Core Stratigraphy (Analog and Digital Formats), Version 1
This data set is comprised of scientific field study notebooks from geologist Carl S. Benson describing his traverses of Greenland from 1952 to 1955. The notebooks contain data on Greenland snow accumulation, snow temperature, stratigrapy, ice sheet facies, and snow densification. Dr. Benson's notebooks also include a supplementary 1956 snow accumulation study done by the U.S. Air Force. The notebooks have been scanned and put into PDF format. In addition, a compendium of Greenland snow accumulation data, compiled by Dr. Benson in 1986, is included that spans 1911 to 1981. It is in ASCII text format.During a four-year period from 1952 through 1955, Carl Benson, along with many other individuals and several other organizations, dug and studied 146 snow pits and made 288 supplementary snow hardness profiles with a ramsonde instrument along a 1100 mile traverse in Northwest Greenland (Benson 1962). For each exposed pit, temperature, density, ram hardness, and grain size were measured. The data in the notebooks include a listing of all pit locations, a summary matrix of data collected at each station; accumulation data adjusted for Fall 1954 and Fall 1955 reference horizons; average accumulation for all stations; integrated ram hardness (snow density); descriptive stratigraphy, pit profile temperature and density; and pit and core temperature, density, ram hardness, and stratigraphy for each location. Benson's notebooks for 1952 through 1954 were scanned at NSIDC and are available via FTP. As of January 2013, the 1955 notebooks have not been digitized.
ASTER Global Digital Elevation Model NetCDF V003
The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan's Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire [ASTER Level 1A](https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database ([ASTWBD](https://doi.org/10.5067/ASTER/ASTWBD.001)) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in both a Cloud Optimized GeoTIFF (COG) and NetCDF4 format through NASA Earthdata Search and in standard GeoTIFF format through the LP DAAC Data Pool. Data are projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Provided in the ASTER GDEM product are layers for DEM and number of scenes (NUM). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data.While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Known Issues* ASTER GDEM Version 3 tiles overlap by one pixel to the north, south, east, and west of the tile perimeter. In most cases the overlapping edge pixels have identical pixel values, but it is possible that in some instances values will differ. * ASTER GDEM Version 3 is considered to be void free except for Greenland and Antarctica.* Users are reminded that because there are known inaccuracies and artifacts in the dataset, to use the product with awareness of these limitations. The data are provided "as is" and neither NASA nor METI/Earth Resources Satellite Data Analysis Center (ERSDAC) will be responsible for any damages resulting from use of the data.Improvements/Changes from Previous Version* Expansion of acquisition coverage to increase the amount of cloud free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3.* Separation of rivers from lakes in the water body processing.* Minimum water body detection size decreased from 1 square kilometer (km²) to 0.2 km².
ASTER Global Digital Elevation Model Attributes NetCDF V003
The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan's Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was created from the automated processing of the entire [ASTER Level 1A](https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database ([ASTWBD](https://doi.org/10.5067/ASTER/ASTWBD.001)) Version 1 data product was also generated. The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in both a Cloud Optimized GeoTIFF (COG) and NetCDF4 format through NASA Earthdata Search and in standard GeoTIFF format through the LP DAAC Data Pool. Data are projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area. Provided in the ASTER GDEM product are layers for DEM and number of scenes (NUM). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data.While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications. Known Issues* ASTER GDEM Version 3 tiles overlap by one pixel to the north, south, east, and west of the tile perimeter. In most cases the overlapping edge pixels have identical pixel values, but it is possible that in some instances values will differ.* ASTER GDEM Version 3 is considered to be void free except for Greenland and Antarctica.* Users are reminded that because there are known inaccuracies and artifacts in the dataset, to use the product with awareness of these limitations. The data are provided "as is" and neither NASA nor METI/Earth Resources Satellite Data Analysis Center (ERSDAC) will be responsible for any damages resulting from use of the data.Improvements/Changes from Previous Version* Expansion of acquisition coverage to increase the amount of cloud free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3.* Separation of rivers from lakes in the water body processing.* Minimum water body detection size decreased from 1 square kilometer (km²) to 0.2 km².
Digital Lunar Orbiter Photographic Atlas of the Moon
The Lunar Orbiter Photographic Atlas of the Moon is considered the definitive reference manual to the global photographic coverage of the Moon. The images contained within the atlas are excellent for studying lunar morphology because they were obtained at low to moderate Sun angles. The digital Lunar Orbiter Atlas of the Moon is a reproduction of the 675 plates contained in Bowker and Hughes. The digital archive, however, offers many improvements upon its original hardbound predecessor. Multiple search capabilities were added to the database to expedite locating images and features of interest. For accuracy and usability, surface feature information has been updated and improved. Lastly, to aid in feature identification, a companion image containing feature annotation has been included.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.