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482
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ShareScore release 0.9.0
Dataset results
482 results for “Digital data”
Data from: Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection
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Data from: Tablet-based versus presentation-based seminars in radiology: effects of student digital affinity and teacher charisma on didactic quality
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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.
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.
China Dimensions Data Collection: Fundamental GIS: Digital Chart of China, 1:1M, Version 1
The Fundamental GIS: Digital Chart of China, 1:1M, Version 1 consists of vector maps of China and surrounding areas. The maps include roads, railroads, drainage systems, contours, populated places, and urbanized areas for China proper, as well as for China and neighboring countries. The maps are at a scale of one to one million (1:1M). This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project and the Columbia University Center for International Earth Science Information Network (CIESIN).
Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_HT29
GEO Series GSE244694. Homo sapiens. 273 samples. Type: Expression profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_A549
GEO Series GSE252820. Homo sapiens. 269 samples. Type: Expression profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_A549
GEO Series GSE244687. Homo sapiens. 270 samples. Type: Expression profiling by high throughput sequencing.
Expression data of adult digit tip of K14-CreER;Ctnnb1 cKO mouse
GEO Series GSE72950. Mus musculus. 6 samples. Type: Expression profiling by array.
Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_SW1783
GEO Series GSE245912. Homo sapiens. 279 samples. Type: Expression profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HT29
GEO Series GSE250627. Homo sapiens. 270 samples. Type: Expression profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_SW1783
GEO Series GSE254458. Homo sapiens. 269 samples. Type: Expression profiling by high throughput sequencing.
Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HepG2
GEO Series GSE248976. Homo sapiens. 267 samples. Type: Expression profiling by high throughput sequencing.
Digitized, corrected and supplemented data on net zooplankton of the Far East seas and adjacent Pacific Ocean waters from five rare reference books published in Russian in limited editions
<p>Data on plankton collected by the Juday net in 1984-2013 in the Far Eastern seas and the north-western Pacific containing the species composition, occurrence and abundance of zooplankton in the surveyed area. The data is aggregated by species, developmental stages, size fractions, regions, vertical layers of water, light and dark time of day, four seasons of the year and perennial periods. It is accompanied shape-files with polygons of the regions by which data is summarized with information about surface areas and water volumes in each of them. The scope of application of this data is fundamental to the management of marine resources, aquaculture development, nature conservation, and assessment of the damage of various anthropogenic factors on nature.</p>
Digital Nets Conformational Sampler (DNCS) - Data Availability
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Molecular Profiling of COVID-19 Autopsies Uncovers Novel Disease Mechanisms [Digital Spatial Profiling data]
GEO Series GSE183356. Homo sapiens. 120 samples. Type: Expression profiling by array.
Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_Tonifying_HepG2
GEO Series GSE244707. Homo sapiens. 270 samples. Type: Expression profiling by high throughput sequencing.
PSP FIELDS Digital Fields Board (DFB) DC-coupled Searchcoil Magnetometer, SCM, Cross Spectra, e-component, f-component, High Gain, Sensor coordinates, Level 2 (L2), 0.873813 s Data
PSP FIELDS Digital Fields Board (DFB), SCMXlfhg ⨯ SCMXlfhg cross spectra data:The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].DFB DC cross spectra data for a pair of input channels consist of:* 1) Power spectral densities (auto spectra, e.g. FT₁ ⨯ FT₁*)* 2) Real and imaginary parts of the spectral cross term (FT₁ ⨯ FT₂*)* 3) Coherence* 4) Phasewhere all as a function of frequency and time. The last two terms are describedcoherence and phase are defined in [3].These cross spectra are averaged in both frequency and time as described in [3]. The cross spectra have either 56 or 96 bins (selectable) with the bin central frequencies reported in the metadata.The Level 2 data products contained in this data file have been calibrated for:* 1) The Hanning window used in the spectral calculation* 2) DFB in-band gain* 3) DFB analog filter gain response* 4) DFB digital filter gain response* 5) The search coil preamplifier response, when applicable* 6) The bandwidth of each spectral binNote that compensation for the DFB digital filters will introduce a non-physical positively sloped power trend at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS preamplifiers have not been implemented as the preamplifier response is flat and equal to one through the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to voltage sensor signals. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts squared per Hertz. Likewise, all magnetic field quantities when present in these Level 2 data product are expressed by using units of nanoTesla squared per Hertz. The units for phase are degrees.The Level 2 voltage data products contained in this data file are expressed in sensor coordinates: e.g. dV12, dV34 for voltage measurements. For solar orbits 1 and 2, the search coil magnetometer cross spectra data are rotated into a non-intuitive coordinate system with components [d,e,f]. For solar orbits 3 and beyond, the magnetic field cross spectra data are expressed by using search coil magnetometer sensor coordinates with components [u,v,w].To rotate from [d,e,f] coordinates to [u,v,w] search coil sensor coordinates, use the following matrix, written in IDL notation, and the following equation: spectra_uvw_vector = R ## spectra_def_vector.R = [[ 0.46834856, -0.81336422 , 0.34509170] [ -0.66921924, -0.071546954, 0.73961249] [ -0.57688408, -0.57733845 , -0.57782790]]For some orbits, sufficient spectral information exists in the auto spectra and cross spectra to determine wave ellipticity, planarity, and wave normal angles. One method for accomplishing this is presented in reference [4].Time resolution of the DFB DC cross spectral data can vary by multiples of 2^N. During encounter (when PSP is within 0.25 AU of the Sun), cadence for the DFB DC cross spectra is typically 30 NYseconds [2]. Timestamps correspond to the center time of each window.References:* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344* 4) Santolik, O., Parrot, M., Lefeuvre, F. Radio Science (2003), 38, 1010. https://doi.org/10.1029/2000RS002523
Van Allen Probe A Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) Density and other Parameters derived by digitizing Traces on Spectrograms, Level 4 (L4), 0.5 s Data
Van Allen Probe A, Electric and Magnetic Field Instrument Suite and Integrated Science, EMFISIS, derived Density and other Parameters inferred by digitizing Traces on Spectrograms. The EMFISIS Waves Instrument provides a Measure of the Frequency of the Upper Hybrid Resonance Band thereby providing an accurate Determination of the Electron Density. The Electron Density is most easily and accurately measured by Means of Resonances and Cutoffs in the Wave Spectrum rather than Particle Detector Measurements which are subject to Spacecraft Charging and other complicating Factors.
PSP FIELDS Digital Fields Board (DFB) DC-coupled Differential Voltage Waveform, Dipole Mode, Level 2 (L2), 3.413 ms Data
PSP FIELDS Digital Fields Board, DFB, Differential Voltage data:The DFB is the low frequency, less than 75 kHz, component of the FIELDS experiment on the Parker Solar Probe spacecraft, see reference [1] below. For a full description of the FIELDS experiment, see reference [2]. For a description of the DFB, see reference [3].The DFB continuous waveform data consist of time series data from various FIELDS sensors. These data have been filtered by both analog and digital filters [3].The Level 2 data products contained in this data file have been calibrated for:* 1) DFB in-band gain* 2) DFB analog filter gain and phase response* 3) DFB digital filter phase response* 4) The search coil preamplifier gain and phase response, when applicableCalibrations for the DFB digital filter gain response have not been implemented, but the required convolution kernel is provided in this file. It was decided not to apply the digital filter gain response calibration to these Level 2 data because the application of the calibrations can introduce non-physical power at high frequencies when the non-corrected signal is dominated by noise. This effect should be examined carefully when determining spectral slopes and features at the highest frequencies. Calibrations for the FIELDS voltage sensor preamplifiers have not been implemented as the preamplifier response is flat and equal to one throughout the DFB frequency range. Corrections for plasma sheath impedance gain and antenna effective length have not been applied to the voltage sensor data. These corrections will be applied in the Level 3 DFB data products. Therefore, all voltage sensor quantities when present in these Level 2 data products are expressed by using units of Volts. Likewise, all magnetic field quantities when present in these Level 2 data products are expressed by using units of nanoTelsas.The Level 2 data products contained in this data file are in spacecraft coordinates (e.g. x,y,z) or in sensor coordinates (e.g. dV12, dV34 for voltage measurements and [u,v,w] for the searchcoil magnetometer.The time resolution of the DFB continuous waveform data can vary by multiples of 2^N. During encounter when PSP is within 0.25 AU of the Sun, the DFB continuous waveform data cadence is typically 256 samples/NYsecond [2].References:* 1) Fox, N.J., Velli, M.C., Bale, S.D. et al., Space Sci Rev (2016) 204:7. https://doi.org/10.1007/s1121401502116* 2) Bale, S.D., Goetz, K., Harvey, P.R. et al., Space Sci Rev (2016) 204:49. https://doi.org/10.1007/s1121401602445* 3) Malaspina, D.M., Ergun, R.E., Bolton, M. et al., JGR Space Physics (2016), 121, 5088-5096. https://doi.org/10.1002/2016JA022344
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.