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.
410
datasets available to search
ShareScore release 0.9.0
Dataset results
410 results for “eukaryotic”
Author information for the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"
<p>This Excel format file includes three sheets:</p> <p>1: CREDIT information for the named authors of the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p> <p>2: Funding information for the named authors of the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p> <p>3: A listing of the individuals included in the collective authorship "The EBP Community of Scientists" in the publication "The Earth BioGenome Project Phase II: Illuminating the Eukaryotic Tree of Life"</p>
Figure 5 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 5. Gene family and time-calibrated evolution analyses of 28 litostomateans and two spirotricheans. Ages are given as million years ago (Mya). Calibrated nodes are indicated with a star. Numbers asser "+" and "-" represent the expanded or contracted gene families in each branch* respectively. MRCA* the most recent common ancestor; H* subclass Haptoria; R* subclass Rhynchostomatia; º* subclass ºrichostomatia; CZ* Cenozoic; MZ* Mesozoic; NP* Neoproterozoic; PZ* Palaeozoic.
Figure 6 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 6. Heatmap showing the bias of stop codon usage among 28 litostomatean ciliates. H* subclass Haptoria; R* subclass Rhynchostomatia; º* subclass ºrichostomatia.
Figure 3. Phylogenomic tree estimated from a in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 3. Phylogenomic tree estimated from a concatenated dataset of 1680 orthogroups of 28 litostomateans and two spirotricheans
Figure 3. Phylogenomic tree estimated from a in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 3. Phylogenomic tree estimated from a concatenated dataset of 1680 orthogroups of 28 litostomateans and two spirotricheans by maximum likelihood (ML) and Bayesian inference (BI) methods. Sequences from the present study are in bold. Ŋe numbers at the nodes are the bootstrap values of ML out of 1000 pseudoreplicates and the posterior probability of Bayesian analysis* respectively. Ŋe black dots represent full support values both in the ML and in the BI trees. º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 2 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 2. Comparative analysis of 28 litostomatean ciliates. A* UpSet plot of shared orthogroups among the three litostomatean subclasses. B* GO enrichment analysis of conserved orthogroups in Litostomatea. C* heatmap showing the number of shared genes among 28 litostomatean ciliates. º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 7 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 7. Ŋe length distribution (A–C) and motif (C–E) of the introns detected in Monodinium sp.* Myriokaryon sp.* and Apodileptus visscheri.
Figure 1 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 1. Maps showing the location of the sampling sites and photomicrographs showing the in vivo morphology of the 14 litostomatean ciliates for which omics' data were newly obtained.
Figure 4 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 4. Carbohydrate-Active Enzymes Database (CAZy) annotation results of 28 litostomatean ciliates. A* comparison of the number of CAZymes in 28 litostomatean ciliates. B* CAZy function classification diagrams of three newly sequenced litostomateans (Didinium sp.1* Myriokaryon sp.* and Apodileptus visscheri). º* subclass ºrichostomatia; H* subclass Haptoria; R* subclass Rhynchostomatia.
Figure 2 in Comparative genomics reveals the evolutionary history of the unicellular eukaryote class Litostomatea and its adaptive evolution based on biochemical metabolic capacity
Figure 2. Comparative analysis of 28 litostomatean ciliates. A* UpSet plot of shared orthogroups among the three litostomatean subclasses. B*
Annotation of eukaryotic genomes with Maker datasets
<p>Input and output datasets.</p>
Annotation of eukaryotic genomes with Maker datasets
<p>Input and output datasets.</p>
Annotation of eukaryotic genomes with Maker datasets
<p>Input and output datasets.</p>
Annotation of eukaryotic genomes with Maker datasets
<p>Input and output datasets.</p>
FIG. 1 in OPINION Testing for the accumulation of deleterious mutations in asexual eukaryote genomes using molecular sequences
FIG. 1. Phylogeny of representative sexual and asexual Lachnidae with estimates of the numbers of replacement and silent substitutions for EF1a and CO2 on each branch. See text for description of estimation of the numbers of substitutions in each category. Phylogeny is from Normark (2000).
Genomic analysis finds no evidence of canonical eukaryotic DNA processing complexes in a free-living protist
<p>Cells replicate and segregate their DNA with precision. Previous studies showed that these regulated cell-cycle processes were present in the last eukaryotic common ancestor and that their core molecular parts are conserved across eukaryotes. However, some metamonad parasites have secondarily lost components of the DNA processing and segregation apparatuses. To clarify the evolutionary history of these systems in these unusual eukaryotes, we<span> generated a genome assembly for the free-living metamonad <i>Carpediemonas membranifera</i> and</span> carried out a comparative genomics analysis. Here, we show that parasitic and free-living metamonads harbor an incomplete set of proteins for processing and segregating DNA. Unexpectedly, <i>Carpediemonas </i>species are further streamlined, lacking the origin recognition complex, Cdc6 and most structural kinetochore subunits. <i>Carpediemonas</i> species are thus the first known eukaryotes that appear to lack this suite of conserved complexes, suggesting that they likely rely on yet-to-be-discovered or alternative mechanisms to carry out these fundamental processes.</p>
Simulated eukaryotic genomic sequencing, long and short reads
<p><span>As accuracy and throughput of nanopore sequencing improves, it is increasingly common to perform long-read-first </span><em>de novo</em> genome assemblies followed by polishing with accurate short reads (Kim et al. 2021). We briefly introduce FMLRC2, the successor to the original FM-index Long Read Corrector (FMLRC), and illustrate its performance as a fast and accurate <em>de novo</em> assembly polisher for both bacterial and eukaryotic genomes.</p>
Abundance, Biovolume, and Biomass of Synechococcus and Eukaryote Pico- and Nano- Plankton From Continuous Underway Flow Cytometry During NES-LTER Transect Cruises, Ongoing Since 2018
<p>"These data represent the abundance, biovolume, and biomass of prokaryotic and eukaryotic picoplankton and nanoplankton sampled continuously underway during Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) Transect cruises, ongoing since 2018. Samples were obtained with an Attune NxT Flow Cytometer sampling at approximately 2-min intervals from the underway science seawater. Cells were identified and enumerated from the flow cytometry data files based on their scattering, phycoerythrin (575 nm) and chlorophyll (680 nm) fluorescence signals." Time is in UTC. https://portal.edirepository.org/nis/metadataviewer?packageid=knb-lter-nes.17.1</p>
Dataset for: Modeling Allosteric Mechanisms of Eukaryotic Type II Topoisomerases
<p>The set of molecular dynamics trajectories generated and analyzed in the paper "Modeling Allosteric Mechanisms of Eukaryotic Type II Topoisomerases." <strong>Citations should refer directly to the manuscript. </strong> </p> <p>The uploaded zip file "trajectory_data.zip" contains trajectories for the (1) ATP (2) ADP (3) Apo (4) D26N (5) R1128G and (6) D26N/R1128G h3k9ac systems. In each directory is 5 XTC files, which correspond to the trajectories for the 5 different simulations performed for each system, along with an AMBER-formated PRMTOP file. Solvent molecules were removed from each file, and trajectories were strided such that there is one frame per 100 ps. </p>
Fig. 2 in Peptidoglycan in eukaryotes: Unanswered questions
Fig. 2. Evolution of plastids from cyanobacteria. Algae and plants have been formed by fusion of an archaeon, a alphaproteobacterium that has evolved to mitochondria, and a cyanobacterium that has evolved to chloroplasts, and brought with it its peptidoglycan-containing cell wall. The three grey rectangles show loss of peptidoglycan. Based in part on Takano and Takechi (2010).
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.