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.
2,315
datasets available to search
ShareScore release 0.9.0
Dataset results
2,315 results for “Comparative analysis”
Comparative analysis of genetic and morphological variation within the Platanthera hyperborea complex (Orchidaceae)
Open the record for dataset details and reuse information.
Raw sequence of: A comparative analysis of spider prey spectra analyzed through the next-generation sequencing of individual and mixed DNA samples
Open the record for dataset details and reuse information.
Data from: Comparative analysis of DNA repeats and identification of novel Fesreba centromeric element in fescues and ryagrasses
Open the record for dataset details and reuse information.
Data from: Comparing traditional and Bayesian approaches to ecological meta-analysis
Open the record for dataset details and reuse information.
Comparative molecular analysis of cancer behavior cultured in vitro, in vivo, and ex vivo
Open the record for dataset details and reuse information.
Supplementary material 1 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Table S1
Figure 2 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 2 Variation in length and base composition of each of the 13 core protein coding genes (PCGs) among eight centipedes' mitochondrial genomes A PCG length variation B GC content across PCGsC AT skew D GC skew.
Figure 4 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 4 A Molecular phylogeny of eight centipede species based on Maximum Likelihood inference analysis of 13 protein-coding genes (PCGs) B Traditional morphological classification based on the position of spiracles and the variation of larvae.
Figure 1 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 1 Mitochondrial genome map of the Scolopendra mutilans. Genes drawn inside the circle are transcribed clockwise, and those outside are counterclockwise. PCGs are shown as brown arrows, rRNA genes as green arrows, tRNA genes as pink arrows. The innermost circle shows the GC content. GC content is plotted as the deviation from the average value of the entire sequence.
Figure 3 from: Hu C, Wang S, Huang B, Liu H, Xu L, Hu Z, Liu Y (2020) The complete mitochondrial genome sequence of Scolopendra mutilans L. Koch, 1878 (Scolopendromorpha, Scolopendridae), with a comparative analysis of other centipede genomes. ZooKeys 925: 73-88. https://doi.org/10.3897/zookeys.925.47820
Figure 3 Mitogenome synteny among eight centipede species. Synteny analyses were generated in Mauve 2.4.0. A total of six large homologous regions were identified among the eight mitogenomes, while the sizes and relative positions of the homologous fragments varied across the mitogenomes.
Supplementary Figure 2 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Supplementary Fig. 2: Phylomorphospace and landmark-free geometric morphometric methods.</strong> <strong>a</strong>, <strong>b</strong>, Plots of 2D phylomorphospace (with species names indicated) showing the cerebellar (<strong>a</strong>) and whole-brain (<strong>b</strong>) shape distribution of snakes (coloured squares) and lizards (coloured circles) with different locomotor modes (see colour code in <strong>a</strong>). Numbers in brackets indicate the percentage of variance explained by each of the PC axes, and 68% confidence ellipses are shown for each locomotor mode. Asterisks in (<strong>a</strong>) mark individuals belonging to the Scincidae family. <strong>c</strong>, <strong>d</strong>, Plots of 3D morphospace obtained using landmark-free ShapeWorks (<strong>c</strong>) and GPSA (<strong>d</strong>) methods, showing the cerebellar (<strong>c</strong>) and whole-brain (<strong>d</strong>) shape distribution of snakes (coloured cubes) and lizards (coloured spheres) with different locomotor modes (see colour code in <strong>a</strong>). Numbers in brackets indicate the percentage of variance explained by each of the PC axes. The PC2 axis in (<strong>d</strong>) was inverted for better comparison with landmark-based geometric morphometric methods.</p> <p> </p> <p> </p>
Figure 5 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 5 Cerebellar shape variation in squamates with different locomotor behaviours.</strong> <strong>a</strong> 3D plot of principal component (PC) scores showing shape distribution of isolated cerebella from snakes (coloured cubes) and lizards (coloured spheres) with different locomotor modes (see colour code and symbols in bottom left corner). Numbers in brackets indicate the percentage of variance explained by each of the PC axes, and 68% confidence ellipses are shown for each locomotor mode. The 3D-rendered cerebella corresponding to extreme (indicated by coloured solid arrows, with species names) or representative (coloured dashed arrows, with species names) lizard and snake species in both positive and negative directions along the first two PCs are shown in pial (left) and lateral (right) views. <strong>b</strong> Warped surfaces of cerebellum representing the reconstructed mean shape configuration for each indicated limbless or limb-reduced (left panels) or quadrupedal (right) locomotion mode are shown in pial surface (top row) and lateral views (bottom). Colour gradient, ranging from blue to yellow, reflects the relative Procrustes distance (in μm) of shape changes from the overall mean shape for the entire dataset.</p>
Figure 4 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 4</strong> <strong>Morphological variation of major brain subdivisions in squamates with different locomotor behaviours.</strong> <strong>a</strong>–<strong>e</strong> 2D plots of principal component (PC) scores showing the diencephalon (<strong>a</strong>), cerebellum (<strong>b</strong>), telencephalon (<strong>c</strong>), medulla oblongata (<strong>d</strong>) and mesencephalon (<strong>e</strong>) shape distribution of snakes (coloured squares) and lizards (coloured circles) with different locomotor modes (see colour code in bottom right corner). Numbers in brackets indicate the percentage of variance explained by each of the PC axes, and 68% confidence ellipses are shown for each locomotor mode. 2D wireframes illustrate shape changes associated with the first two PCs for each brain subdivision in top and lateral (<strong>a</strong>, <strong>c</strong>, <strong>d</strong>), pial surface and lateral (<strong>b</strong>), or front and lateral (<strong>e</strong>) views.</p>
Figure 3 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 3</strong> <strong>Whole-brain shape variation in squamates with different locomotor behaviours.</strong> 3D plot of principal component (PC) scores showing the whole-brain shape distribution of snakes (coloured cubes) and lizards (coloured spheres) with different locomotor modes (see colour code and symbols in bottom left corner). Numbers in brackets indicate the percentage of variance explained by each of the PC axes, and 68% confidence ellipses are shown for each locomotor mode. The 3D-rendered whole-brains corresponding to extreme (indicated by coloured solid arrows, with species names) or representative (coloured dashed arrows, with species names) lizard and snake species in both positive and negative directions along the first two PCs are shown in dorsal (top) and lateral (bottom) views.</p>
Figure 2 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 2<strong> </strong>Comparative anatomy of whole-brain and cerebellar cortex.</strong> <strong>a</strong> Direct comparison of dissected (top panels) and 3D reconstructed (bottom) Pogona vitticeps brain in lateral (left panels) and dorsal (right) views. <strong>b</strong>, <strong>c</strong> Single and merged immunostainings for ZIC1/2/3 granule cell marker (green) and DAPI (blue) on sagittal sections of <em>Anolis carolinensis</em> (<strong>b</strong>) and<em> Epicrates cenchria</em> (<strong>c</strong>)<strong> </strong>cerebellar cortex. White dashed lines highlight both the cerebellum profile and part of optic tectum in contact with the cerebellum to illustrate their spatial relationships in the two species. Crossed white arrows point towards rostral (R), caudal (C), dorsal (D) and ventral (V) directions. Pial and ventricular cerebellar surfaces are indicated on their respective side. GCL, granule cell layer; ML, molecular layer; IV, fourth ventricle. Scale bars: 1mm (<strong>a</strong>), 100 μm<strong> </strong>(<strong>b</strong>,<strong> </strong><strong>c</strong>).</p>
Supplementary material 1 from: Geneletti D, Adem Esmail B, Cortinovis C, Arany I, Balzan M, van Beukering P, Bicking S, Borges PA, Borisova B, Broekx S, Burkhard B, Gil A, Inghe O, Kopperoinen L, Kruse M, Liekens I, Lowicki D, Mizgajski A, Mulder S, Nedkov S, Ostergard H, Picanço A, Ruskule A, Santos-Martín F, Sieber IM, Svensson J, Vačkářů D, Veidemane K (2020) Ecosystem services mapping and assessment for policy- and decision-making: Lessons learned from a comparative analysis of European case studies. One Ecosystem 5: e53111. https://doi.org/10.3897/oneeco.5.e53111
An overview of the assessment of ecosystem condition in the selected case studies.
Supplemental to Masterthesis: Comparative Genome analysis of borontolerant and -sensitive bacterial isolates
<p>Supplemental data and result files of the Masterthesis: Comparative Genome analysis of borontolerant and -sensitive bacterial isolates</p>
Fig. 17. Lagis koreni Malmgren, 1866 in Taxonomy and distribution of Pectinariidae (Annelida) from Iceland with a comparative analysis of uncinal morphology
Fig. 17. Lagis koreni Malmgren, 1866. SEM micrographs of a small specimen (BIOICE sample 3078, IINH-40486). A. Anterior end, ventral view. B. Cephalic veil, detail. C–E. Uncinigers 1, 4 and 11, uncini. F. Scaphal hook.
Fig. 13. Cistenides hyperborea Malmgren, 1866. SEM micrographs from a in Taxonomy and distribution of Pectinariidae (Annelida) from Iceland with a comparative analysis of uncinal morphology
Fig. 13. Cistenides hyperborea Malmgren, 1866. SEM micrographs from a small specimen (BIOICE sample 2041, IINH-40470). A. Anterior end, ventral view. B. Unciniger 2, median uncini. C–E. Unciniger 10, dorsal, median and ventral uncini, respectively. F. Scaphal hooks.
Fig. 7 in Taxonomy and distribution of Pectinariidae (Annelida) from Iceland with a comparative analysis of uncinal morphology
Fig. 7. Amphictene auricoma (O.F. Müller, 1776). SEM micrographs from a small specimen (BIOICE sample 2463, IINH-40481). A–B. Unciniger 1, dorsal and ventral uncini, respectively. C–D. The same in closer view. E. Unciniger 9, ventral uncini, fronto-inferior area.
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.