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.
3,878
datasets available to search
ShareScore release 0.9.0
Dataset results
3,878 results for “Molecular data”
FIGURES 11 17. Lamyctes hellyeri n in A new blind Lamyctes (Chilopoda: Lithobiomorpha) from Tasmania with an analysis of molecular sequence data for the Lamyctes Henicops Group
FIGURES 11 17. Lamyctes hellyeri n. sp. 11, 14 17, QVMAG 23: 23046, female. 11, anterior part of head shield and basal part of antennae, scale 100 m; 14, sensilla on dorsal side of antenna, scale 10 m; 15 16, antennal articles, dorsal side, scales 50 m; 17, cephalic pleurite with Tömösváry organ, scale 50 m. 12 13, QVMAG 23: 23047, female. 12, ventral view of clypeus and labrum, scale 100 m; 13, labral midpiece and inner parts of sidepieces, scale 30 m.
FIGURES 1 4 in A new blind Lamyctes (Chilopoda: Lithobiomorpha) from Tasmania with an analysis of molecular sequence data for the Lamyctes Henicops Group
FIGURES 1 4. Lamyctes coeculus (Brölemann). 1, 3, AM KS 57961, female, Mellong Range, NSW, Australia. 2, 4, MCZ DNA 100472, female, Cerro San Javier, Tucumán, Argentina. 1 2, ventral view of head, scales 100 m; 3 4, dental margin of maxillipede coxosternite, scales 50 m.
FIGURES 18 25. Lamyctes hellyeri n in A new blind Lamyctes (Chilopoda: Lithobiomorpha) from Tasmania with an analysis of molecular sequence data for the Lamyctes Henicops Group
FIGURES 18 25. Lamyctes hellyeri n. sp. QVMAG 23: 23046, female. 18, ventral view of maxillipede, scale 100 m; 19 20, dental margin of maxillipede coxosternite, scales 50 m, 10 m; 21, tarsus and claw of second maxilla, scale 50 m; 22, distal part of tarsus and claw of second maxilla, scale 10 m; 23, coxal projections and telopods of first maxillae, scale 50 m; 24, first maxillae, scale 100 m; 25, plumose setae on inner margins of telopods of first maxillae, scale 10 m.
FIGURE 6 in Salamandridae) using molecular and morphological data. Revalidation of the taxon Pleurodeles nebulosus (Guichenot, 1850)
FIGURE 6. Ventral aspect of the skull of A. adult P. p o i re t i, BMNH 1920.1. 20.1383 (Bône) and B. adult P. nebulosus, BMNH 130 a (Algiers).
FIGURE 1 in Salamandridae) using molecular and morphological data. Revalidation of the taxon Pleurodeles nebulosus (Guichenot, 1850)
FIGURE 1. Map of North Africa showing localities of Pleurodeles used in the present study. See Table 1 and Fig. 5 for further details. The dashed line delimits the approximate distribution range of P. poireti. We refer to it in the text as the Edough Peninsula.
FIGURE 3 in Salamandridae) using molecular and morphological data. Revalidation of the taxon Pleurodeles nebulosus (Guichenot, 1850)
FIGURE 3. Photograph showing nine specimens of P. p i o i re t i (above) and four P. nebulosus (below). A 23 centimetres scale bar is shown on the lefthand side of the picture; black rectangles and intermediate white spaces all represent 1 cm. Numbers above the specimens refer to: 1. BMNH 1920.1. 20.1327. 2, largest specimen of P. p oireti included in the present study. Female from Bône (Annaba); 2. BMNH 1946.9. 6.77, male of P. poireti from Mount Edough; 3. BMNH 1946.9. 6.78, male of P. p o i re t i from Mount Edough; 4. BMNH 1946.9. 6.79, male of P. poireti from Mount Edough; 5. BMNH 1946.9. 6.80, male of P. p o i re t i from Mount Edough; 6. BMNH 1946.9. 6.81, male of P. p o i re t i from Mount Edough; 7. BMNH 1946.9. 6.79, male of P. poireti from Mount Edough; 8. MNHNP 4744, female, paralectotype of P. p o i re t i from Bône (Annaba); 9. MNHNP 4744 A, male, lectotype of P. p o i ret i from Bône (Annaba); 10. BMNH 1.1.3.1. a, largest specimen of P nebulosus recorded to date. Male from N. Africa; 11. BMNH 88.4. 9.3, female of P. nebulosus from Algiers; 12. BMNH 88.4. 4, male of P. nebulosus from Algiers; 13. MNHNP 1442, female, lectotype of P. nebulosus from Algiers.
FIGURE 30 in Morphological and molecular data reveal the cryptic diversity among populations of Aegla paulensis (Decapoda, Anomura, Aeglidae), with descriptions of four new species and comments on dispersal routes and conservation status
FIGURE 30. Bayesian tree (TPM 2 uf + G) for Aegla species based on partial fragment of 16 S. Node numbers represent posterior probabilities (values <50 % are not shown), and divergence time in millions of years (my); * indicates the calibration points to molecular clock. The clade C proposed by Pérez-Losada et al. (2004) is highlighted in grey. The basin and sub-basin origin of the discussed species in this study are shown after the specific names.
FIGURE 24. A – L in Morphological and molecular data reveal the cryptic diversity among populations of Aegla paulensis (Decapoda, Anomura, Aeglidae), with descriptions of four new species and comments on dispersal routes and conservation status
FIGURE 24. A – L, proximal portion of fifth pereiopod showing coxa and sexual tube of long and narrow type. A – B, Aegla paulensis Schmitt, 1942 s. str., male topotype (MZUSP 34368). C – D, Aegla rosanae Campos Jr., 1998, male topotype (MZUSP 34369). E – F, Aegla vanini n. sp., male paratype (MZUSP 34372). G – H, Aegla japi n. sp., male paratype (MZUSP 34375). I – J, Aegla jaragua n. sp. male paratype (MZUSP 34378). K-L, Aegla jundiai n. sp., male paratype (MZUSP 13490). Bars: A – D, F – H, J = 200 µm; K, L = 100 µm; E, I = 500 µm.
FIGURE 8 in Morphological and molecular data reveal the cryptic diversity among populations of Aegla paulensis (Decapoda, Anomura, Aeglidae), with descriptions of four new species and comments on dispersal routes and conservation status
FIGURE 8. Types of Aegla Leach, 1820 male sexual tubes. A, long and narrow (A. lancinhas Bond-Buckup & Buckup in Santos et al., 2015, MZUSP 34403). B, short and wide (A. leptochela Bond-Buckup & Buckup, 1994, MZUSP 34491).
FIGURE 1 in Morphological and molecular data reveal the cryptic diversity among populations of Aegla paulensis (Decapoda, Anomura, Aeglidae), with descriptions of four new species and comments on dispersal routes and conservation status
FIGURE 1. Distribution of the species of Aegla in four main hydrographic basins of southern Brazil: Rio Grande, Rio Tietê (Upper Paraná system), Rio Paraíba do Sul and Ribeira de Iguape. Indications L 1 through L 7 refer to the locations mentioned under “ sampling area ” in the Material & Methods section.
FIGURES 13 – 18 in Re-description of the Arctic tardigrade Tenuibiotus voronkovi (Tumanov, 2007) (Eutardigrada; Macrobiotidea), with the first molecular data for the genus
FIGURES 13 – 18. Tenuibiotus voronkovi — egg process details, different shape of processes seen in PCM.
FIGURES 3 – 6 in Re-description of the Arctic tardigrade Tenuibiotus voronkovi (Tumanov, 2007) (Eutardigrada; Macrobiotidea), with the first molecular data for the genus
FIGURES 3 – 6. Tenuibiotus voronkovi — buccal apparatus: 3 — buccal apparatus, dorso-ventral projection (PCM); 4 — ventral view of the buccal armature, arrowhead indicate row of teeth (PCM); 5 — buccal apparatus, dorso-ventral projection (DIC); 4 — dorsal view of the buccal armature, arrowhead indicate single teeth (PCM).
FIGURES 9 – 12 in Re-description of the Arctic tardigrade Tenuibiotus voronkovi (Tumanov, 2007) (Eutardigrada; Macrobiotidea), with the first molecular data for the genus
FIGURES 9 – 12. Tenuibiotus voronkovi — eggs and juveniles: 9 — egg midsection (DIC); 10 — egg midsection with embryo (PCM); 11, 12 — juveniles and eggs.
FIGURES 1 – 2 in Re-description of the Arctic tardigrade Tenuibiotus voronkovi (Tumanov, 2007) (Eutardigrada; Macrobiotidea), with the first molecular data for the genus
FIGURES 1 – 2. Tenuibiotus voronkovi — habitus: 1 - dorso-ventral projection, exoskeleton after DNA extraction (PCM); 2 - dorso-ventral projection (DIC).
FIGURES 7 – 8 in Re-description of the Arctic tardigrade Tenuibiotus voronkovi (Tumanov, 2007) (Eutardigrada; Macrobiotidea), with the first molecular data for the genus
FIGURES 7 – 8. Tenuibiotus voronkovi — claws of leg IV seen in PCM: 7 — arrowhead indicate accessory points; 8 — dentate lunules and granulation.
Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning - Data
<p>Expression data used in manuscript <i>Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning</i></p>
Data from: The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function
<p>An underexplored question in evolutionary genetics concerns the extent to which mutational bias in the production of genetic variation influences outcomes and pathways of adaptive molecular evolution. In the genomes of at least some vertebrate taxa, an important form of mutation bias involves changes at CpG dinucleotides: If the DNA nucleotide cytosine (C) is immediately 5' to guanine (G) on the same coding strand, and if the C is methylated, then C→T and G→A mutations occur at an elevated rate relative to mutations at non-CpG sites. Here we examine experimental data from case studies in which it has been possible to identify the causative substitutions that are responsible for adaptive changes in the functional properties of vertebrate hemoglobin (Hb). Specifically, we examine the molecular basis of convergent increases in Hb-O<sub>2</sub> affinity in high-altitude birds. Using a data set of experimentally verified, affinity-enhancing mutations in the Hbs of highland avian taxa, we tested whether causative changes are enriched for mutations at CpG dinucleotides relative to the frequency of CpG mutations among all possible missense mutations. The tests revealed that a disproportionate number of causative amino acid replacements were attributable to CpG mutations, demonstrating that mutation bias can influence outcomes of molecular adaptation.</p>
Research data supporting: "Machine learning of microscopic structure-dynamics relationships in complex molecular systems"
<p>This repository contains the set of data and the code to reproduce the results shown in "Machine learning of microscopic structure-dynamics relationships in complex molecular systems" published on Machine Learning: Science and Technology (DOI: 10.1088/2632-2153/ad0fa5).</p>
Joint representation of molecular networks from multiple species improves gene classification - Data
<p>This is the data the accompanies the manuscript <em>Joint representation of molecular networks from multiple species improves gene classification</em></p> <p>Below is the license agreement for each of the publicly available datasets </p> <ul> <li><a href="https://wiki.thebiogrid.org/doku.php/terms_and_conditions">BioGRID</a></li> <li><a href="http://geneontology.org/docs/go-citation-policy/">GO</a></li> <li><a href="https://www.disgenet.org/legal">DisGeNet</a></li> <li><a href="https://monarchinitiative.org/about/licensing">Monarch</a></li> <li><a href="http://eggnog-mapper.embl.de">eggNOG</a></li> </ul> <p>No license agreement was available on <a href="http://imp.princeton.edu">IMP web site</a>, however we have obtained permission from the owner of the material to redistribute the network.</p>
Molecular features of luminal breast cancer defined through spatial and single-cell transcriptomics (codes and data files)
<p>This dataset includes all the relevant codes and data files associated with the paper ("Molecular features of luminal breast cancer defined through spatial and single-cell transcriptomics") in Clinical and Translational Medicine journal.</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.