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.
1,987
datasets available to search
ShareScore release 0.9.0
Dataset results
1,987 results for “mode”
High-power in-phase and anti-phase mode emission from linear arrays of resonant-tunneling-diode oscillators in the 0.4-to-0.8-THz frequency range - data
<div> <p>Experimental and simulation data from the paper "High-power in-phase and anti-phase mode emission from linear arrays of resonant-tunneling-diode oscillators in the 0.4-to-0.8-THz frequency range".</p> <p> </p> </div>
Fig. 2 in Variation In Reproductive Modes Of Allium Oleraceum, A. Scorodoprasum And A. Vineale In Field Collection
Fig. 2. Correlations between mean mass of an aerial bulbil and flower number per plant in four Allium scorodoprasum accessions (No. 315, 437, 447 and 604). Ellipses show a 95 % confidence area
Fig 1 in Determination of limited histotrophy as the reproductive mode in Mustelus schmitti Springer, 1939 (Chondrichthyes: Triakidae): analysis of intrauterine growth of embryos
Fig 1. Mean embryo total length and standard deviation as a function of the ordinal day of the year considering the two consecutive years (2006 and 2007) for Mustelus schmitti embryos. Dashed line represents the linear model adjusted to the individual data, continuous line is for the Gompertz model and the pointed line represents the Von Bertalanffy growth curve.
Fig 3 in Determination of limited histotrophy as the reproductive mode in Mustelus schmitti Springer, 1939 (Chondrichthyes: Triakidae): analysis of intrauterine growth of embryos
Fig 3. Relationship between total dry weight (g) (Mustelus schmitti embryos and its yolk sac) and time (ordinal days), along 2006 and 2007. The bottom and top of the box are the first and third quartiles, and the band inside is the median, the ends of the whiskers represent the range of the distribution. This graphic shows a clear increase in mass that has been associated with matrotrophy.
Fig 2 in Determination of limited histotrophy as the reproductive mode in Mustelus schmitti Springer, 1939 (Chondrichthyes: Triakidae): analysis of intrauterine growth of embryos
Fig 2. Mean yolk mass and standard deviation as a function of the ordinal day of the year considering the two consecutive years (2006 and 2007) for Mustelus schmitti embryos. Using the same y axis values the continuous line represents the logistic curve adjusted for presence/absence of yolk sac, the probability of an embryo having external yolk sac is given by Yt=1/(1+e(-13.749 + 0.072*t)) for 2006 and Yt=1/(1+e(-10.472 + 0.054*t)) for 2007.
Figure 3 in Morphological and Morphometrical Features in Dunaliella salina (Chlamydomonadales, Dunaliellaceae) During the Two-phase Cultivation Mode
Figure 3. Changes of morphology and coloration of D. salina cells in "green" (A) and "red" (B) cultivation phase. Scale is 10 μm.
Figure 2 in Morphological and Morphometrical Features in Dunaliella salina (Chlamydomonadales, Dunaliellaceae) During the Two-phase Cultivation Mode
Figure 2. Changes of D. salina morphometrical parameters: cell height and width (A, B), dividing and non-dividing cells volume (C, D) and percentage of cells with different volume (E, F) in "green" and "red" cultivation phase
Figure 1 in Morphological and Morphometrical Features in Dunaliella salina (Chlamydomonadales, Dunaliellaceae) During the Two-phase Cultivation Mode
Figure 1. Dunaliella salina cell density and dividing cells percentage dynamics in "green" (A) and "red" (B) cultivation phase.
Fig. 10 in A mosaic of conserved and novel modes of gene expression and morphogenesis in mesoderm and muscle formation of a larval bivalve
Fig. 10 Muscle systems in bivalve lineages. a Bivalve phylogeny (after Combosch et al. (2017)) with larval muscle systems in various clades.?: unknown, numbers: number of paired retractors/adductors,>: set of paired mantle retractors, a.m.: after metamorphosis. Colour code indicates individual muscle systems. Comparative analysis implies that five major muscle systems were present in the last common ancestor (LCA) of autobranch bivalve larvae: The velum musculature including three or four pairs of velum retractors and a velum muscle ring, the larval retractors (one or two pairs), the adductor system containing the anterior as well as the posterior adductor,
Fig. 5 in A mosaic of conserved and novel modes of gene expression and morphogenesis in mesoderm and muscle formation of a larval bivalve
Fig. 5 Expression of myosin II heavy chain (Dro-mhc_c1) and myogenesis in Dreissena rostriformis veliger larvae. Lateral view in all images, anterior faces upwards and dorsal to the left except in c which is a dorso-anterior view, e and f which are anterior views (dorsal is up), and i which is a posterior view (dorsal is up). Arrowheads indicate the stomodaeum. Scale bar equals 20 µm. Brightfield images of the gene expression (a and e) and confocal images (b–d and f–i) with F-actin (yellow–red), cilia (green), and cell nuclei staining (cyan). a Expression of Dro-mhc_c1 is in the central and dorsal mesoderm. Velum (ve). b First distinct muscle bundles are the dorsal velum retractor (dv), the ventral velum retractor (vv), and the larval retractor (lr). First appearance of the velum muscle ring (vr), the (pal-
Fig. 3 in A mosaic of conserved and novel modes of gene expression and morphogenesis in mesoderm and muscle formation of a larval bivalve
Fig. 3 Expression of myosin II heavy chain (Dro-mhc_c1) and immunofluorescence staining in Dreissena rostriformis trochophore larvae. Anterior is up. Arrowheads indicate the stomodaeum, sf marks the shell field, dotted line outlines the region of the prototroch (pt). Scale bar equals 20 µm. Brightfield images (a, b) of the gene expression and confocal images (c, d) with F-actin (red), cilia (green; pt: prototroch; tt: telotroch), and cell nuclei staining (cyan). a Dro-mhc_c1 expression is first present in the anterior mesoderm. b Anterior mesodermal expression in dorsal view. c First F-actinpositive domain in the mesoderm below the shell field in the dorso-median region. d Slightly further developed trochophore larva showing two developing myofilaments in the median region. A, anterior; D, dorsal; P, posterior; V, ventral
Fig. 3 in Diversification rates in Tardigrada indicate a decreasing tempo of lineage splitting regardless of reproductive mode
Fig. 3 The negative relation between values of γ statistics and the number of entities based on which they were calculated. Circles indicate Tardigrada; triangles indicate Rotifera; black indicates asexual reproduction; white indicates sexual reproduction
Fig. 2 in Diversification rates in Tardigrada indicate a decreasing tempo of lineage splitting regardless of reproductive mode
Fig. 2 Bayesian phylogenetic reconstructions for three distinct evolutionary lineages of Tardigrada with respective lineage-through-time plots. The trees were calculated based on the reduced datasets with singular sequence representing a given species/entity delimited in this study with multiple DNA taxonomy approaches (see the "Mate-
Fig. 4 in Genome size of chrysophytes varies with cell size and nutritional mode
Fig. 4 Comparison of genome size within different taxonomic groups. Mixotrophic (blue) and heterotrophic (dark red) chrysophytes rank among the smallest eukaryotic genomes (values obtained from [1] Mohanta and Bae 2015; Egertová and Sochor 2017; [2] Gregory 2017; [3] Bennett 2012; [4] Courties et al. 1994)
Fig. 1 in Genome size of chrysophytes varies with cell size and nutritional mode
Fig. 1 Cell volumes [μm 3] of different chrysophytes. Different colors represent the different nutritional modes present. Phototrophic chrysophytes (light green) do have highest cell volumes compared to
Fig. 2 in Genome size of chrysophytes varies with cell size and nutritional mode
Fig. 2 Genome size [pg] of investigated chrysophytes. Different colors represent the different nutritional modes present. Heterotrophic chrysophytes (dark red) tend to have smaller genome sizes, compared to phototrophic chrysophytes (light green), while mixotrophic chrysophytes (blue) show intermediate genome sizes. *Dinobryon sociale var. americana cf. div. schauinslandii; HF = Heterotrophic flagellate
Fig. 5 in Genome size of chrysophytes varies with cell size and nutritional mode
Fig. 5 Model of evolution of genome size, cell volume, and nutritional mode of chrysophytes: nutrient limitations may have driven genome size reduction in the ancestors of mixotrophic (and heterotrophic) chrysophytes, as well as the evolution of phagotrophic mechanisms to attain additional nutrients. Cell size reduction is supposedly a more gradual process, coming into play in taxa which were already able to obtain nutrients by phagotrophy, which optimized food uptake by the optimization of the predator-prey size ratio. This may have triggered the evolution of obligate heterotrophs in many chrysophyte lineages independently
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 5. PSD (dB/Hz) vs freaquency (Hz) of each IMF showen in fig 4 in channel C4 (a) and in C3 (b)
<p> In Fig 5, we noted that ocular artifact frequency is generally low around 5Hz with high amplitude. This artifact appears mainly in IMF3 and IMF4. Finally, band power was applied for the new signal. As a last step, the logarithm of the BP is calculated in order to transform the distribution of this feature to a more Gaussian like shape, because the classifiers we used, such as HMMs and SVM assume normally distributed features.</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 4. The EMD decomposition results for subject 2 when he imagines left hand movement
<p>Fig. 4 shows the EMD decomposition result of one-trial (left hand movement imagination) for subject 2 in the channels C3 and C4 respectively (the pre-filtered EEG signal used for this illustration is not corrupted by blinking artifact.). Each channel is decomposed into ten IMFs and one residue</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 5b. PSD (dB/Hz) vs freaquency (Hz) of each IMF showen in fig 4 in channel C4 (a) and in C3 (b)
<p>Therefore, the new signal is reconstructed by keeping only the two first IMFs. EMD also allows eliminating the artifacts in the EEG during the recording sessions like eye blinks and eyeball movements. In Fig 5, we noted that ocular artifact frequency is generally low around 5Hz with high amplitude. This artifact appears mainly in IMF3 and IMF4. Finally, band power was applied for the new signal. As a last step, the logarithm of the BP is calculated in order to transform the distribution of this feature to a more Gaussian like shape, because the classifiers we used, such as HMMs and SVM assume normally distributed features.</p>
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.