Find research datasets worth reusing
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1,079
datasets available to search
ShareScore release 0.9.0
Dataset results
1,079 results for “source data”
Expression data from HepaRG human progenitor hepatic cells treated with different sources of Vitamin E and wheat germ oil.
GEO Series GSE195619. Homo sapiens. 14 samples. Type: Expression profiling by array.
Differential RNA-Seq (dRNA-seq) data from Sphingopyxis granuli strain TFA grown in two different carbon sources and RNA-seq from Hfq-coIP experiment.
GEO Series GSE111181. Sphingopyxis granuli. 6 samples. Type: Expression profiling by high throughput sequencing.
The transcriptome comparison data between Saccharomyces cerevisiae cells in xylose consumption phase after glucose depleted in glucose-xylose co-fermentation and when xylose was the sole carbon source
GEO Series GSE95076. Saccharomyces cerevisiae. 8 samples. Type: Expression profiling by high throughput sequencing.
Expression data after irradiating mMSCs for 2 hours with single frequency terahertz laser source
GEO Series GSE41085. Mus musculus. 6 samples. Type: Expression profiling by array.
Ileal expression data of mice fed with diet containing protein from various sources
GEO Series GSE84442. Mus musculus. 33 samples. Type: Expression profiling by array.
Source data for PointNovo
<p>Source data used to generate the analysis in PointNovo paper</p>
CBA source data
<p>CBA: Cluster-guided batch alignment for single-cell RNA-seq</p>
Data for "Uncovering natural sources of LAB bacteriocins through the use of metagenomics"
Open the record for dataset details and reuse information.
Source Data File_Zebrafish
<p>Raw data of zebrafish experiments</p>
Data of water sources rehydration experiments
<p>This is the dataset for manuscrit which submitted to GRL.</p>
Figure Source Data for "Breaking through safety performance stagnation in autonomous vehicles with dense learning"
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Source data for: Direct retino-iridal projections and intrinsic iris contraction mediate the pupillary light reflex in early vertebrates (Communications Biology)
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Rendering Scripts and Source Data for Figures in "Why East Asian Monsoon Anomalies Are More Robust in Post El Niño than in Post La Niña Summers"
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Open source data for microservice partitioning
<p>Open-source datasets for microservice partitioning.</p>
Weakly hydrated anions bind to polymers but not monomers in aqueous solutions - Source data for Figure 2
<p>Source data that was used to create Figure 2. </p>
Source data for "Fast multi-source nanophotonic simulations using augmented partial factorization"
<p>Source data for Fig. 3b-c and Fig. 5a-b</p>
Source data for role of sesquiterpenes in biogenic new particle formation
<p>Data generated from experiments performed within the CLOUD chamber at CERN. </p>
Classification of Mars Terrain Using Multiple Data Sources
Classification of Mars Terrain Using Multiple Data Sources Alan Kraut1, David Wettergreen1 ABSTRACT. Images of Mars are being collected faster than they can be analyzed by planetary scientists. Automatic analysis of images would enable more rapid and more consistent image interpretation and could draft geologic maps where none yet exist. In this work we develop a method for incorporating images from multiple instruments to classify Martian terrain into multiple types. Each image is segmented into contiguous groups of similar pixels, called superpixels, with an associated vector of discriminative features. We have developed and tested several classification algorithms to associate a best class to each superpixel. These classifiers are trained using three different manual classifications with between 2 and 6 classes. Automatic classification accuracies of 50 to 80% are achieved in leave-one-out cross-validation across 20 scenes using a multi-class boosting classifier.
Comet Data Compilations from Published Sources
The collections in this archive contain results that have been reported in the literature, or in some cases made available by private communication, for various comet properties. Individual collections focus on one or several closely related properties or targets of high interest.
LOFAR 2-Meter Sky Survey Preliminary Data Release Source Catalog
The Low Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) is a deep 120-168 MHz imaging survey that will eventually cover the entire Northern sky. Each of the 3,170 pointings will be observed for 8 hours, which, at most declinations, is sufficient to produce ~5-arcsec resolution images with a sensitivity of ~0.1 mJy/beam and accomplish the main scientific aims of the survey which are to explore the formation and evolution of massive black holes, galaxies, clusters of galaxies and large-scale structure. Due to the compact core and long baselines of LOFAR, the images provide excellent sensitivity to both highly extended and compact emission. For legacy value, the data are archived at high spectral and time resolution to facilitate sub-arcsecond imaging and spectral line studies. In this paper, The authors provide an overview of the LoTSS. They outline the survey strategy, the observational status, the current calibration techniques, a preliminary data release, and the anticipated scientific impact. The preliminary images that they have released were created using a fully-automated but direction-independent calibration strategy and are significantly more sensitive than those produced by any existing large-area low-frequency survey. In excess of 44,000 sources are detected in the images that have a resolution of 25-arcseconds, typical noise levels of less than 0.5 mJy/beam, and cover an area of 381 square degrees in the region of the HETDEX Spring Field (Right Ascension 10<sup>h</sup> 45<sup>m</sup> 00<sup>s</sup> to 15<sup>h</sup> 30^m ^00<sup>s</sup> and Declination +45<sup>o</sup> 00' 00" to +57<sup>o</sup> 00' 00"). Source detection on the mosaics that are centered on each pointing was performed with PyBDSM (See <a href="http://www.astron.nl/citt/pybdsm/">http://www.astron.nl/citt/pybdsm/</a> for more details). In an effort to minimize contamination from artifacts, the catalog was created using a conservative 7-sigma detection threshold. Furthermore, as the artifacts are predominantly in regions surrounding bright sources, the authors utilized the PyBDSM functionality to decrease the size of the box used to calculate the local noise when close to bright sources, which has the effect of increasing the estimated noise level in these regions. Their catalogs from each mosaic are merged to create a final catalogue of the entire HETDEX Spring Field region. During this process, the authors remove multiple entries for sources by only keeping sources that are detected in the mosaic centered on the pointing to which the source is closest to the center. In the catalog, they provide the type of source, for which they used PyBDSM to distinguish isolated compact sources, large complex sources, and sources that are within an island of emission that contains multiple sources. In addition, they attempted to distinguish between sources that are resolved and unresolved in their images. The authors have provided a preliminary data release from the LOFAR Two-metre Sky Survey (LoTSS). This release contains 44,500 sources which were detected with a signal in excess of seven times the local noise in their 25" resolution images. The noise varies across the surveyed region but is typically below 0.5 mJy/beam and the authors estimate the catalog to be 90% complete for sources with flux densities in excess of 3.9 mJy/beam. This table was created by the HEASARC in February 2017 based on <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/598/A104">CDS Catalog J/A+A/598/A104</a> file lotss.dat. This is a service provided by NASA HEASARC .
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.