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.
1,663
datasets available to search
ShareScore release 0.9.0
Dataset results
1,663 results for “shells”
Deciphering hot- and multi-exciton dynamics in core–shell QDs by 2D electronic spectroscopies
<p>2D spectroscopy datasets from PCCP 20 (2018) 18176, DOI: 10.1039/c8cp02574f</p> <p>Dasets are in the Matlab format .mat, each one containing:</p> <p>R(or N or T).X = 3-dimensional matrix containing 3d signal. dimensions=(w1,w3,t2)<br> R.t= t2 axis<br> R.f= w1=w3 axis</p> <p> </p> <p>R=rephasing; N=non-rephasing; T=total signal</p> <p>2D-BC=2D photon echo in BOXCARS configuration; 2D-PP= 2D pump-probe in quasi-collinear configuration.</p>
Experimental data for nonlinear dynamics and energy harvesting of bistable cantilever shells (grant 2021/41/B/ST8/03190 from the National Science Centre, Poland)
<p>An experimental tests on a cantilever composite bistable shell with a piezoelectric patch is reported. The shell is characterized by two stable configurations. Periodic force is applied at the shell’s clamped side through an electrodynamic shaker and the dynamic response is measured through an embedded strain gauge. Selected dynamic regimes are recorded by performing excitation frequency and amplitude sweeps. The resonance scenarios around the two natural frequencies corresponding to the stable configurations show different softening behavior. The excitation amplitude threshold level for snap-through motion is identified. The thested thin-walled pseudo-conical shell has been made of carbon-epoxy composite prepreg tape (AS4-GP-12K_40gsm-<br>300mm-ThinPreg135EP). The composite single layer is characterized by unidirectional reinforcement, thickness 0.04 mm. The manufacturing standard samples for strength tests in the autoclave process reduces to about 0.038 mm. </p>
Nature of GaOx Shells Grown on Silica by Atomic Layer Deposition
<p>Raw data for the article "Nature of GaOx Shells Grown on Silica by Atomic Layer Deposition", already published in Chemistry of Material.</p>
Optimizing the Shelling Process of InP/ZnS Quantum Dots Using a Single-Source Shell Precursor: Implications for Lighting and Display Applications
<p>This is the data supporting the manuscript "Optimizing the Shelling Process of InP/ZnS Quantum Dots Using a Single-Source Shell Precursor: Implications for Lighting and Display Applications".</p> <p>Abstract</p> <p>InP/ZnS core/shell quantum dots (QDs), recognized as highly promising heavy-metal-free emitters, are increasingly utilized in lighting and display applications. Their synthesis in a tubular flow reactor enables production in a highly efficient, scalable, and reproducible manner, particularly when combined with a single-source shell precursor, such as zinc diethyldithiocarbamate (Zn(S2CNEt2)2). However, the photoluminescence quantum yield (PLQY) of QDs synthesized with this route remains significantly lower compared to those synthesized in batch reactors involving multiple steps for the shell growth. Our study identifies the formation of absorbing, yet non-emissive ZnS nanoparticles during the ZnS shell formation process as a main contributing factor to this discrepancy. By varying the shelling conditions, especially the shelling reaction temperature and InP core concentration, we investigated the formation of pure ZnS nanoparticles and their impact on the optical properties, particularly PLQY, of the resultant InP/ZnS QDs through UV-vis absorption, steady-state and time-resolved photoluminescence (PL) spectroscopy, scanning transmission electron microscopy (STEM) and analytical ultracentrifugation (AUC) measurements. Our results suggest that process conditions, such as lower shelling temperatures or reduced InP core concentrations (resulting in a lower external surface area), encourage the homogeneous nucleation of ZnS. This reduces the availability of shell precursors necessary for an effective passivation of the InP core surfaces, ultimately resulting in lower PLQYs. These findings explain the origin of persistently underperformed PLQY of InP/ZnS QDs synthesized from this synthesis route and suggest further optimization strategies to improve their emission for lighting and display applications.</p> <p>The data are sorted per techniques used for characterization. Information about the measurement details can be found in README files attached to each technique folder.</p>
Data for "Microstructural mapping of A. islandica shells reveals environmental and physiological controls on biomineral size"
<p>This data contains the image segmentation workflow, data processing procedure and all data generated for the publication "Microstructural mapping of A. islandica shells reveals environmental and physiological controls on biomineral size" currently under review.</p>
Original .tif files for "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?"
<p>In our article "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?", we use photographic evidence to demonstrate the ability of snails to trap trematodes in their shells. Here we archive the tif files that make up our Figure 1 for this paper, for browsing at higher resolutions than on the published article.</p> <p>Below a (slightly edited) copy of the figure legend:</p> <p>"Backlit views of metazoan parasites trapped in the shell of Cornu aspersum: trematode cercariae (Fig1A.tif, Fig1B.tif, Fig1C.tif), and nematode (Fig1D.tif). Small cracks of the inner shell layer (Fig1B.tif) can be seen above the cercariae and were considered as indicative of damage on the shell after it covered cercariae. Note the accumulation of dark adhering cells around or above the parasites in both cases of cercariae (Fig1C.tif) and nematode (Fig1D.tif)."</p>
Data for "Shell microstructures (disturbance lines) of Arctica islandica (Bivalvia) – A potential proxy for severe oxygen depletion"
<p>All data used in the publication "Shell microstructures (disturbance lines) of <em>Arctica islandica</em> – A potential proxy for severe oxygen depletion" currently under review. This includes in situ environmental data from the Mecklenburg Bight, Baltic Sea (ODIN 2, Leibnitz Institute for Baltic Sea Research, https://odin2.io-warnemuende.de/), and biomineral unit (BMU) morphology measurements in scanning electron microscopy images of shells of <em>Arctica islandica</em>, as well as the BMU classifier used in Ilastik (Berg et al., 2019).</p> <p>Each BMU measurement represents summary statistics of the 15 % largest BMUs within one image (25, 50 and 75 % percentile of each BMU parameter). Environmental data were measured at 20 m water depth, ca. 5 m above the sediment surface.</p>
Increased egg shell temperature during incubation leads to changes in transcriptional and epigenetic profiles in chicken lungs
<p>These RDS files contain <strong>DESeqDataSet </strong>objects subsets per broiler age and treatment. These objects are the result of DESeq2::DESeq( … ,betaPrior=FALSE).The .txt-objects contain the normalized sequencing counts per broiler age and treatment group. These objects are the result of DESeq2::counts( … , normalized=TRUE). Data was generated using STAR v2.7.10a and DESeq2 v1.36. Metadata is included as Excel file.</p> <p>Sequencing data is deposited at NCBI-SRA under BioProject: PRJNA949139. </p> <p> </p> <p><strong>Study abstract</strong></p> <p>D. Schokker, J. de Vos, P.B. Stege, O. Madsen, H.J. Wijnen, S.K. Kar, and J.M.J. Rebel</p> <p>Health and resilience against respiratory diseases are important features for broiler chicken. In this study, epigenetic and transcriptomic changes in the lungs of broiler chickens of different ages during rearing that were either exposed to elevated egg shell temperature (HIGH) of 38.9°C during mid-incubation or normal egg shell temperature (control; CON). The objective was to better understand how environmental challenges, such as heat stress during egg incubation, affect the development of the immune system and health of broiler chicken at later age. To this end we generated both epigenetic and transcriptomic data of lung tissue of elevated HIGH and CON chicken, furthermore these chicken were challenged by introducing either an infectious E. coli or an IBV vaccination to monitor the respiratory response. Thousands of differential methylated sites were observed at days 15 and 33, when comparing HIGH vs. CON. Pathway enrichment analysis of HIGH vs. CON showed that differentially expressed genes were mainly involved in cilium, cytoskeleton, and immune processes. These findings provide insight into the underlying biological mechanisms of early life conditions, like elevated EST, and their potential role in health of broilers.</p>
Dataset: Shell Commands Used by Participants of Hands-on Cybersecurity Training
<p>This repository contains supplementary materials for the following journal paper:</p> <p>Valdemar Švábenský, Jan Vykopal, Pavel Seda, Pavel Čeleda.<br> <em>Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training.</em><br> In Elsevier Data in Brief. 2021.<br> <a href="https://doi.org/10.1016/j.dib.2021.107398">https://doi.org/10.1016/j.dib.2021.107398</a></p> <ul> </ul> <p><strong>How to cite</strong></p> <p>If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).</p> <pre><code>@article{Svabensky2021dataset, author = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and Seda, Pavel and \v{C}eleda, Pavel}, title = {{Dataset of Shell Commands Used by Participants of Hands-on Cybersecurity Training}}, journal = {Data in Brief}, publisher = {Elsevier}, volume = {38}, year = {2021}, issn = {2352-3409}, url = {https://doi.org/10.1016/j.dib.2021.107398}, doi = {10.1016/j.dib.2021.107398}, }</code></pre> <p>The data were collected using a logging toolset referenced <a href="https://zenodo.org/record/5126693">here</a>.</p> <p><strong>Attached content</strong></p> <ol> <li><strong>Dataset (data.zip).</strong> The collected data are attached here on Zenodo. A copy is also available in <a href="https://gitlab.ics.muni.cz/muni-kypo-trainings/datasets/commands">this repository</a>.</li> <li><strong>Analytical tools (toolset.zip).</strong> To analyze the data, you can instantiate the toolset or <a href="https://gitlab.ics.muni.cz/muni-kypo/tools/commands-elk">this project for ELK</a>.</li> </ol> <p><strong>Version history</strong></p> <ul> <li>Version 1 (<a href="https://zenodo.org/record/5137355">https://zenodo.org/record/5137355</a>) contains 13446 log records from 175 trainees. These data are precisely those that are described in the associated journal paper. Version 1 provides a snapshot of the state when the article was published.</li> <li>Version 2 (<a href="https://zenodo.org/record/5517479">https://zenodo.org/record/5517479</a>) contains 13446 log records from 175 trainees. The data are unchanged from Version 1, but the analytical toolset includes a minor fix.</li> <li>Version 3 (<a href="https://zenodo.org/record/6670113">https://zenodo.org/record/6670113</a>) contains 21762 log records from 275 trainees. It is a superset of Version 2, with newly collected data added to the dataset.</li> <li>The current Version 4 (<a href="https://zenodo.org/record/8136017">https://zenodo.org/record/8136017</a>) contains 21459 log records from 275 trainees. Compared to Version 3, we cleaned 303 invalid/duplicate command records.</li> </ul>
Shell length and dry tissue weight relationship of the mollusk Ostrea lurida (Olympia Oyster) in the low and subtidal zones of the San Diego River, California: 2016-2017.
Data was collected to look at the relationship between the dry tissue weight and the shell length of Ostrea lurida in the San Diego River, and use the data to compare it to other estuaries O. lurida inhabit along the west coast of North America. Sampling was done in the low and sub intertidal zones along the delta of the San Diego River from October 2016 through September 2017. A fifty meter transect was chosen to collect samples which was broken up into five 10 meter transects. In each of these 10-m transects, 0.5 X 0.5 m quadrats were randomly selected for oyster assessments. Oysters were removed by physical removal by hand. Once back in the lab shell lengths were measured and dry weights were obtained.
FIG. 1 in Beyond shells: first detailed morphological description of the mangrove-associated gastropod Haminoea cf. fusca (A. Adams, 1850) (Cephalaspidea, Haminoeidae), with a COI phylogenetic analysis
FIG. 1. — Bayesian phylogenetic tree based on partial sequences of the COI gene. Figures on nodes are posterior probabilities, scale bar refer to branch lengths. Coloured squares refer to species that are Indo West Pacific in origin, whereas grey squares to Atlantic and eastern Pacific species. PP, 1. The specimen here used from the Philippines is depicted in Gosliner et al. 2015: 30, lower right.
Fig. 6.1. Shell digitised with different methods. The photogrammetry model was captured with a 100 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.1. Shell digitised with different methods. The photogrammetry model was captured with a 100 mm Macro lens and processed with Agisoft Photoscan. The visual comparison of the mollusc shows a similar level of detail between photogrammetry and MechScan for the external surfaces, with still a bit more detail for the MechScan. The HDI Advance has a much lower resolution.
Fig. 1. Pictographic glossary. A. General shell features. B in Small, rare and little known: new records and species of Cardiomya (Bivalvia: Cuspidariidae) from Brazil
Fig. 1. Pictographic glossary. A. General shell features. B. Rostrum length, termed as very short (Bi), short (Bii) and long (Biii). C. Anterodorsal margin, termed as descending (Ci) and forming a shoulder (Cii). D. Posteroventral sinuation, termed as unobtrusive (Di), shallow (Dii) and gently marked (Diii).
Fig. 3. A. a in Untangling species identity in gastropods with polymorphic shells in the genus Bolma Risso, 1826 (Mollusca, Vetigastropoda)
Fig. 3. A. a, Bolma henica madagascarensis (Indian Ocean); b, Bo. henica abyssorum; c, Bo. henica henica, with type locality represented by a white star (Fiji Island, Southwest Pacific); d, Bo. cf. minutiradiosa. B. a–d, distinct shell morphs found in Bo. recens, with type locality represented by a white star (Kiwi seamount, Three Kings Ridge). C. a, Bo. mainbaza, with type locality (South Madagascar); b, Bo. pseudobathyraphis, with type locality (South New Caledonia); c, Bo. millegranosa; d, Bo. opaoana with type locality (South New Caledonia, Crypthélia Bank).
Fig. 4 in Untangling species identity in gastropods with polymorphic shells in the genus Bolma Risso, 1826 (Mollusca, Vetigastropoda)
Fig. 4. Shell diversity across the molecular phylogeny of the "deep-water" clade of the subfamily Turbininae (Williams 2007, i.e., the genera Astraea, Bellastraea , Bolma and Guildfordia). The phylogeny is based on Bayesian analyses of the concatenated sequences from cox1 and 28 S genes, incorporating an uncorrelated relaxed, log- normal clock produced using *BEAST. The tree is a maximum clade credibility tree with median node heights based in 9000 trees. Support values are posterior probabilities (PP); branches < 50% were collapsed. Species names are labelled on the right-hand side. Species hypotheses previously delineated by the integrative taxonomy approach are highlighted by the grey boxes.
Fig. 2 in Untangling species identity in gastropods with polymorphic shells in the genus Bolma Risso, 1826 (Mollusca, Vetigastropoda)
Fig. 2. [next page] Molecular based species delineation of the genus "Bolma". A. Ultrametric tree produced using BEAST based on cox1 sequences. B. PSHs derived from the GMYC model and labelled from 1 to 37. C. PSHs derived from the GMYC model using the lower limit of the equivalent of a 95% confidence interval, and labelled from A to ZD. D. SSHs drawn from congruency between cox1 and 28S. Boxes with a black outline indicate that the SSH was monophyletic in both cox1 and 28S trees. Boxes without a black outline highlight SSHs for which molecular data were either incomplete or non-informative. SSHs labelled from A to ZD (following step C) or with the species name when our sequences matched published data associated with the species names. E. PSHs derived from the Bayesian analysis based on 28S sequences. F. Bayesian, non-ultrametric tree produced using BEAST based on 28S sequences. G. Species names retained in the present study. For the SSH E-F-G-H, the name Bo. henica was retained; however, Bo. henica abyssorum, Bo. henica madagascarensis and Bo. henica henica are represented as sub-species separated by white dotted lines. For both trees, nodal support values are posterior probabilities (PP), shown only for PP> 50%. Branches with PP <50% were collapsed. Red and green branches correspond to monophyletic species hypotheses. Colour coded boxes: red corresponds to cox1 PSHs supported by PP> 95%; light red corresponds to cox1 PSH supported by PP <95%; light grey corresponds to cox1 and 28S singletons; a grey cross represents missing data; green corresponds to 28S species hypotheses supported by PP> 95%; light grey corresponds to groups of genotypes displaying diagnostic 28S sites. Specimen numbers are given in the Supplementary file.
Fig. 2. Shell terminology. A. D. regularis Fulton, 1901. B. D in The genus Diplommatina Benson, 1849 (Gastropoda: Caenogastropoda: Diplommatinidae) in Nepal, with the description of seven new species
Fig. 2. Shell terminology. A. D. regularis Fulton, 1901. B. D. folliculus (L. Pfeiffer, 1846). C. General outline of the lower part of a shell from Diplommatina species. Abbreviations: Prt = Parietalis (Prt1 = inner parietalis, Prt2 = outer parietalis); Pt = Palatalis; Hpt = Horizontal palatalis (Hpt1 = lower, Hpt2 = upper in case of two); Vpt = Vertical palatalis (Vpt1 = left side, Vpt2 = right side in case of two).
Does ring current heating generate the observed O+ shell?: Numerical information for the figures
<p>This archive contains data files needed to reproduce selected figures from the following manuscript:</p> <p>Does ring current heating generate the observed O+ shell?<br> by J. Krall, J. D. Huba, and M.-C. Fok</p> <p>This manuscript was submitted to Geophyscial Research Letters in April, 2020</p> <p>In addition, this archive contains CIMI code output giving Coulomb heating losses from the ring current<br> and a SAMI3 subroutine that describes the heating function used to mimic ring current heating.</p>
Fig. 19. — A–C, E–J. U in Intra- and interspecific shell variability of the genus Urocythereis Ruggieri, 1950 (Ostracoda: Hemicytheridae) in the La Strea Bay (Ionian Sea, Italy)
Fig. 19. — A–C, E–J. U. ilariae sp. nov. A. Paratype, C in ventral view, sample G2, ABCM 2014/26. B. Paratype, C in dorsal view, sample D3, ABCM 2014/80. C. Paratype, C in dorsal view, sample F3, ABCM 2014/27. E. Paratype, LV, sample E6, ABMC 2014/028. F. Paratype, LV, detail of muscle scars, sample E4, ABMC 2014/034. G. Paratype, RV, detail of the anterior part of the hinge, sample E4, ABMC 2014/033. H. Paratype, LV, detail of the posterior part of the hinge, sample E4, ABMC 2014/034. I. Paratype, RV, detail of the posterior part of the hinge, sample E4, ABMC 2014/033. J. Paratype, LV, detail of the anterior part of the hinge, sample E4, ABMC 2014/034. — D. U. margaritifera (G.W. Müller, 1894), C in dorsal view, sample C1, ABCM 2014/060.
Fig. 18. U in Intra- and interspecific shell variability of the genus Urocythereis Ruggieri, 1950 (Ostracoda: Hemicytheridae) in the La Strea Bay (Ionian Sea, Italy)
Fig. 18. U. ilariae sp. nov. A. Holotype, LV, sample E4, ABMC 2014/038. B. Paratype, RV, sample E4, ABMC 2014/044. C. Paratype, LV, sample E6, ABMC 2014/028. D. Paratype, RV, sample E4, ABMC 2014/036. E. Paratype, LV, sample H, ABMC 2014/069. F. Paratype, RV, sample E5, ABMC 2014/030. G. Paratype, LV, sample E5, ABMC 2014/032. H. Paratype, RV, (A-1 instar), sample D3, ABMC 2014/121. I. Paratype, RV, internal view, sample E4, ABMC 2014/033. J. Paratype, LV, internal view, sample E4, ABMC 2014/034.
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.