Skip to main content
Powered by ShareScore

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.

7

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7 results for “Misfits”

Learn how ShareScore rates datasets ↗
zenodo44/100

Tailoring noncollinear magnetism by misfit dislocation lines

<p>Data for the publication:</p> <p>"The large epitaxial stress induced by the misfit between a triple atomic layer Fe film and an Ir(111) substrate<br> is relieved by the formation of a dense dislocation line network. Spin-polarized scanning tunneling microscopy<br> investigations show that the strain is locally varying within the Fe film and that this variation affects the magnetic<br> state of the system. Two types of dislocation line regions can be distinguished and both exhibit spin spirals<br> with strain-dependent periods (ranging from 3 to 10 nm). Using a simple micromagnetic model, we attribute the<br> changes of the period of the spin spirals to variations of the effective exchange coupling in the magnetic film.<br> This assumption is supported by the observed dependence of the saturation magnetic field on the period of the<br> zero-field spin spiral. Moreover, magnetic skyrmions appear in an external magnetic field only in one type of<br> dislocation line area, which we impute to the different pinning properties of the dislocation lines."</p>

opencc-by-4.0Jun 2017View details →
zenodo40/100

Dataset of the publication : "Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity"

<p>Dataset of the publication : &quot;Misfit layer compounds as ultra-tunable field effect transistors: from charge transfer control to emergent superconductivity&quot;</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Animations of the evolution of misfits

<p>Supplement animations of the misfit for &#39;Numerical stabilization methods for level-set-based ice front migration&#39;&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Nanotubes from the Misfit Layered Compound (SmS)1.19TaS2: Atomic Structure, Charge Transfer, and Electrical Properties_experimental dataset

<p>This dataset contains the raw experimental data for the Sreedhara et al.,&nbsp;Nanotubes from the Misfit Layered Compound (SmS)1.19TaS2: Atomic Structure, Charge Transfer, and Electrical Properties,&nbsp;<em>Chem. Mater.</em>&nbsp;2022, 34, 4, 1838&ndash;1853</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Estimation of best-fitting force, moment tensor, and depth for the 2022 Hunga-Tonga submarine volcanic eruption: Misfit plots in model parameter space

<p>Supporting documents for the correction of the publication&nbsp;<em>Multi‐Event Explosive Seismic Source for the 2022&nbsp;Mw&nbsp;6.3 Hunga Tonga Submarine Volcanic Eruption,&nbsp;</em>published in The Seismic Record&nbsp;(<a href="https://doi.org/10.1785/0320220027">https://doi.org/10.1785/0320220027</a>).</p>

opencc-by-4.0Apr 2023View details →
dryad32/100

Data from: Phylogenomic analysis of a rapid radiation of misfit fishes (Syngnathiformes) using ultraconserved elements

Phylogenetics is undergoing a revolution as large-scale molecular datasets reveal unexpected but repeatable rearrangements of clades that were previously thought to be disparate lineages. One of the most unusual clades of fishes that has been found using large-scale molecular datasets is an expanded Syngnathiformes including traditional long-snouted syngnathiform lineages (Aulostomidae, Centriscidae, Fistulariidae, Solenostomidae, Syngnathidae), as well as a diverse set of largely benthic-associated fishes (Callionymoidei, Dactylopteridae, Mullidae, Pegasidae) that were previously dispersed across three orders. The monophyly of this surprising clade of fishes has been upheld by recent studies utilizing both nuclear and mitogenomic data, but the relationships among major lineages within Syngnathiformes remain ambiguous; previous analyses have inconsistent topologies and are plagued by low support at deep divergences between the major lineages. In this study, we use a dataset of ultraconserved elements (UCEs) to conduct the first phylogenomic study of Syngnathiformes. UCEs have been effective markers for resolving deep phylogenetic relationships in fishes and, combined with increased taxon sampling, we expected UCEs to resolve problematic syngnathiform relationships. Overall, UCEs were effective at resolving relationships within Syngnathiformes at a range of evolutionary timescales. We find consistent support for the monophyly of traditional long-snouted syngnathiform lineages (Aulostomidae, Centriscidae, Fistulariidae, Solenostomidae, Syngnathidae), which better agrees with morphological hypotheses than previously published topologies from molecular data. This result was supported by all Bayesian and maximum likelihood analyses, was robust to differences in matrix completeness and potential sources of bias, and was highly supported in coalescent-based analyses in ASTRAL when matrices were filtered to contain the most phylogenetically informative loci. While Bayesian and maximum likelihood analyses found support for a benthic-associated clade (Callionymidae, Dactylopteridae, Mullidae, and Pegasidae) as sister to the long-snouted clade, this result was not replicated in the ASTRAL analyses. The base of our phylogeny is characterized by short internodes separating major syngnathiform lineages and is consistent with the hypothesis of an ancient rapid radiation at the base of Syngnathiformes. Syngnathiformes therefore present an exciting opportunity to study patterns of morphological variation and functional innovation arising from rapid but ancient radiation.

opencc-zeroDec 2016View details →
dryad32/100

Data from: Phylogenomic analysis of a rapid radiation of misfit fishes (Syngnathiformes) using ultraconserved elements

Open the record for dataset details and reuse information.

publicMay 2017View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record