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.
13,587
datasets available to search
ShareScore release 0.9.0
Dataset results
13,587 results for “specification”
Supporting data for "Conformational and state-specific effects in reactions of 2,3-dibromobutadiene with Coulomb-crystallized calcium ions"
<p>Supporting data for "Conformational and state-specific effects in reactions of 2,3-dibromobutadiene with Coulomb-crystallized calcium ions”, Phys. Chem. Chem. Phys (2023), DOI: 10.1039/D3CP01416A</p>
data for Pathogen-specific isotope tracing approach reveals metabolic activities and fluxes of intracellular Salmonella
<p>Contains the results of the MCMC sampling (i.e. fluxes) as well as the simulated MS measurements.</p> <p> </p>
Effect of a hyperkyphosis-specific exercise programme on the history of falls, fear of falling and satisfaction in older people with hyperkyphosis: a pilot study
<p>To whom it may concerns,</p> <p>I am Assistant Professor Roongtip Duangkaew. I would like to submit my raw<strong> </strong>data as in the manuscript,<strong> </strong>in support of the findings which were presented in the article "Effect of a hyperkyphosis-specific exercise programme on the history of falls, fear of falling and satisfaction in older people with hyperkyphosis: a pilot study." </p> <p>Kind regards,</p> <p>Roongtip</p>
Data associated with Cell Reports publication: Dura-Bernal et al. 2023, "Multiscale model of primary motor cortex circuits predicts in vivo cell type-specific, behavioral state-dependent dynamics"
<p>This dataset includes experimental data used to constrain and validate the model, and model simulation output data. The source code for the associated M1 model and data analysis can be found here: https://github.com/suny-downstate-medical-center/M1_NetPyNE_CellReports_2023</p> <p>Please download the data_v2.zip file, which contains the most updated and complete version of the data.</p> <p>For more information please contact: salvador.dura-bernal@downstate.edu </p>
Seasonality and strain specificity drive rapid co-evolution in a Ostreococcus-virus system from the Western Baltic Sea
<p>Marine viruses are a major driver of phytoplankton mortality and thereby influence biogeochemical cycling of carbon and other nutrients. Phytoplankton-targeting viruses are important components of ecosystem dynamics, but broad-scale experimental investigations of host-virus interactions remain scarce. Here, we investigated in detail a picophytoplankton (size 1 µm) host’s responses to infections by species-specific viruses from distinct geographical regions and different sampling seasons. Specifically, we used <em>Ostreococcus tauri </em>and<em> O. mediterraneus</em> and their viruses (size ca. 100 nm). <em>Ostreococcus</em> sp. are globally distributed and, like other picoplankton species, play an important role in coastal ecosystems at certain times of the year. Further,<em> Ostreococcus</em> sp. are model organisms, and the <em>Ostreococcus</em>-virus system is well-known in marine biology. However, only few studies have researched its evolutionary biology and the implications thereof for ecosystem dynamics. The <em>Ostreococcus</em> strains used here stem from different regions of the Southwestern Baltic Sea that vary in salinity and temperature and were obtained during several cruises spanning different sampling seasons. Using an experimental cross-infection set-up, we explicitly confirm species and strain specificity in <em>Ostreococcus</em> sp. from the Baltic Sea. Moreover, we found the timing of virus-host co-existence, was driver of infection patterns as well. In combination, these findings prove that host-virus co-evolution can be rapid in natural systems.</p>
Transposon DNA sequences facilitate the tissue-specific horizontal transfer: te expression supplementary datasets
<p>These datasets contain data on analyses of TE expression stability. Raw RNA seq counts were processed using DESeq2 R package. Low count genes and TEs were removed. Counts across samples were normalized for library sizes and log-transformed using 'regularized log' transformation. Batch normalization was performed on log-transformed data with ComBat function from sva R package. Expression variability (EV) of TEs and genes (probes) was estimated using the previously described method [1, 2].</p> <p>1. Bashkeel, N., Perkins, T.J., Kærn, M. et al. Human gene expression variability and its dependence on methylation and aging. BMC Genomics 20, 941 (2019). https://doi.org/10.1186/s12864-019-6308-7<br> 2. Alemu EY, Carl JW Jr, Corrada Bravo H, Hannenhalli S. Determinants of expression variability. Nucleic Acids Res. 2014;42(6):3503-3514. doi:10.1093/nar/gkt1364</p> <p> </p> <p>PC.zip - the results of TE expression and stability in prostate cancer.</p> <ul> <li>0.PC.RlogMAD.pdf - count barplots for TE identified with MAD criteria</li> <li>0.PC.RlogSD.pdf - count barplots for TE identified with SD criteria</li> <li>0.PC.TE.rlogcpm.mad.xls -stability measures according MAD (median absolute deviance) criteria </li> <li>0.PC.TE.rlogcpm.sd.xls - stability measures according SD criteria </li> <li>0.PC_TE_bootstrap.pdf - TE expression stability</li> <li>PC.deseq.logCPM.csv - TE log transformed expression matrix </li> <li>PC.TE_count_table.csv - TE raw count matrix </li> <li>PC_Deseq2data.Rdata - R data object with deseq objet, raw and normalized counts</li> </ul> <p> </p> <p>MM.zip - the results of TE expression and stability in multiple myeloma.</p> <ul> <li>0.MM.RlogMAD.pdf - count barplots for TE identified with MAD criteria</li> <li>0.MM.RlogSD.pdf - count barplots for TE identified with SD criteria</li> <li>0.MM_TE_bootstrap.pdf - TE expression stability</li> <li>MM.deseq.logCPM.csv - TE raw count matrix </li> <li>MM.rlog.mad.xlsx- stability measures according MAD (median absolute deviance) criteria</li> <li>MM.rlog.sd.xlsx - stability measures according MAD (median absolute deviance) criteria </li> <li>MM.TE_count_table.csv - TE raw count matrix </li> <li>Myeloma_Deseq2data.Rdata - R data object with deseq objet, raw and normalized counts</li> </ul>
FIGURE 10 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 10. Discriminant function analysis (DFA) of T. neocaledonicus treated clearing agent. (A) DFA of cassava male mite vs. cassava male cleared mite; (B) DFA of cassava female mite vs. cassava female mite cleared; (C) DFA of moringa male mite vs. moringa male mite cleared; (D) DFA of moringa female mite vs. moringa female cleared.
FIGURE 3 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 3. Discriminant function analysis (DFA) of T. neocaledonicus collected from two host plants, moringa and cassava. (A) DFA of cassava male mite vs. cassava female mite; (B) DFA of moringa male mite vs. moringa female mite; (C) DFA of cassava male mite vs. moringa male mite; (D) DFA of cassava male mite vs. moringa male mite.
FIGURE 2 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 2. Shape and size morphospace distribution of T. neocaledonicus collected from moringa and cassava. (A) Principal components (PCs) morphospace distribution analysis; (B) Canonical variates analysis (CVA) morphospace analysis.
FIGURE 5 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 5. Phylogenetic signal analysis of T. neocaledonicus collected from two hosts, moringa and cassava. (A) Size phylogenetic analysis; (B) Shape phylogenetic analysis. A—cassava male mite; B—moringa male mite; E—Cassava female mite; F—moringa female mite.
FIGURE 9 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 9. Morphospace distribution of T. neocaledonicus collected from two hosts, and the mites treated with clearing agent (lactic acid). (A) Principal components (PCs) morphospace analysis; (B) Canonical variate analysis (CVA). A—cassava male mite, B—moringa male mite, C—Cassava male mite cleared, D—moringa male mite cleared, E—cassava female mite, F—moringa female mite, G—Cassava female mite cleared, and H—moringa female mite cleared.
FIGURE 11 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 11. Principal component analysis (PCA) of cleared T. neocaledonicus shape variations visualized in a distortion grid. (A) variance graph of cassava male mite cleared; (B), (C), and (D) is the PC1, PC2, and PC3 of cassava male spider mites cleared, respectively; (E) variance graph of cassava female mite cleared; (F), (G), and (H) is the PC1, PC2, and PC3 of cassava female spider mites cleared, respectively; (I) variance graph of moringa male mite cleared; (J), (K), and (L) is the PC1, PC2, and PC3 of moringa male spider mites cleared, respectively; (M) variance graph of moringa female mite cleared; (N), (O), and (P) is the PC1, PC2, and PC3 of cassava male spider mites cleared, respectively.
FIGURE 1 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 1. Tetranychus neocaledonicus (A) colony (B) Adult T. neocaledonicus (C) male T. neocaledonicus with landmarks (D) female T. neocaledonicus with landmarks (landmarks description, Table S1).
FIGURE 8 in Molecular and morphometric analyses reveal host-specific cryptic speciation in a mite species, Tetranychus neocaledonicus (Andre, 1933) (Acari: Tetranychidae)
FIGURE 8. Hierarchical cluster dendrogram analysis based on (A) Mahalanobis distance dendrogram; (B) Procrustes distance. Spider mite collected from moringa highlighted in red color, and blue color is mite collected from cassava. Normal mite without using any clearing agent in highlighted in bold letter, normal colored letter indicated as the spider mites treated with clearing agent, i.e., lactic acid.
(old version) Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p>Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."</p> <p><strong>There is a statistical correlation between the position of the planets, Moon and Sun and the Magnitude of the earthquakes.</strong></p>
Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p>Table 7 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph 3.01.06.</p> <p><strong>Summary Excel tables of the 200 earthquakes, results of the first hypothesis.</strong></p>
Single-cell RNA-seq dataset to determine cell-type specific response to fungal pathogen infection in plant leaves
<p>Single-cell RNA-seq dataset to determine cell-type specific response to fungal pathogen infection in plant leaves</p>
Data from: Theta-phase-specific modulation of dentate gyrus memory neurons
<p>The theta rhythm, a quasi-periodic 4-10 Hz oscillation, is observed during memory processing in the hippocampus, with different phases of theta hypothesized to separate independent streams of information related to the encoding and recall of memories. At the cellular level, the discovery of hippocampal memory cells (engram neurons), as well as the modulation of memory recall through optogenetic activation of these cells, has provided evidence that certain memories are stored, in part, in a sparse ensemble of neurons in the hippocampus. In previous research, however, engram reactivation has been carried out using open loop stimulation at fixed frequencies; the relationship between engram neuron reactivation and ongoing network oscillations has not been taken into consideration. To address this concern, we implemented a closed-loop reactivation of engram neurons that enabled phase-specific stimulation relative to theta oscillations in the local field potential. Using this real-time approach, we tested the impact of activating engram neurons during the peak (encoding phase) and trough (recall phase) of theta oscillations. Consistent with previously hypothesized functions of theta oscillations in memory function, we show that stimulating engram neurons at the trough of theta is more effective in eliciting behavioral recall than either fixed frequency stimulation or stimulation at the peak of theta. Moreover, phase-specific trough stimulation is accompanied by an increase in the coupling between gamma and theta oscillations in CA1 hippocampus. Oure results provide a causal link between phasespecific activation of engram cells and the behavioral expression of memory.</p>
Table 9 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy." Calandra Stefano
<p><strong>Distribution and probability of σFR indices of the 2nd hypotesis for all 200 earthquakes.</strong></p> <p>Distribution and probability of σFR indices of the 2nd hypotesis, and the time affected in 1 month by the same σFR index present at the time of seismic triggering, for all 3 lines of experimental analysis, for all 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.03.</strong></p> <p>Table 9 shows that the values and σFR indices calculated for the 200 earthquakes are concentrated in very small values. With this result, it is shown that by using these highly concentrated σFR values and indices, <em>75% of the time of the reference month of 65% earthquakes >M4.3 can be excluded as seismic hazard. </em></p>
Functional traits of both specific alien species and receptive community but not community diversity determined the invasion success under biotic and abiotic conditions
<p><span>Biodiversity can provide some resistance to alien species in some cases, but not in others. The observed paradoxical results may be related to several reasons, including variations in abiotic and/or biotic conditions, alien species characteristics, and the fact that the species number cannot adequately reflect native community diversity. A comprehensive study that incorporates these elements is lacking.</span></p> <p><span>We constructed invasion systems using nine alien plant species and 12 native communities, composed of two diversity levels (three vs. six species), under different nitrogen (N) and arbuscular mycorrhiza fungi (AMF) </span><span>inoculation</span><span> conditions. We used this fully crossed factorial experiment, i.e. N</span><span> (low vs. high) × native community diversity (three vs. six species) × AMF (with vs. without), to systematically explore the invasion success in native communities. </span></p> <p><span>We found that the species number of </span><span>native communities</span><span> didn't affect </span><span>invasion success under any of the N or AMF conditions. The effects of N enrichment and AMF inoculation on invasion were not consistent between alien species and native communities based on their phenotypic plasticity of functional traits in response to N enrichment and AMF inoculation. Specifically, the changing of invasion in response to N enrichment and AMF inoculation was associated with the plasticity of plant height and </span><span>root mass fraction</span><span> (RMF) that reflects the competitiveness for the acquisition of light and soil resources.</span></p> <p><span>Our results that species number did not capture well the resistance of the native community suggested that the </span><span>simple expression of species richness is not realistic to describe the invasion resistance of the community. Additionally, the association between functional traits of both alien species and native communities and </span><span>invasion success suggested that changes in competitive advantage and resource acquisition strategy are more important in explaining changes in invasive success in different N and AMF conditions.</span></p> <p><span>Future studies are needed to explore invasion success by systematically considering the characteristics of invasive species and the native community, and the specific abiotic and biotic conditions. Using functional traits may help advance our understanding of plant invasion in broad circumstances and shed light on a generalized framework of biological invasion.</span></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.