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.
3,576
datasets available to search
ShareScore release 0.7.1
Dataset results
3,576 results for “strain”
Data set for Microscale and nanoscale strain mapping techniques applied to creep of rocks
<p>Data set (figures and data involved in their making) for Quintanilla-Terminel, A., M. E. Zimmerman, B. Evans, and D.L. Kohlstedt, Microscale and nanoscale strain mapping techniques applied to creep of rocks, Solid Earth Discuss., https://doi.org/10.5194/se-2017-27, in review, 2017.</p>
FIG. 2 in Biological activity of some Romanian and Turkish Trichoderma Pers. strains
FIG. 2. — Trichoderma Pers. hyperparasitic development on various plant pathogens: Alt., Alternaria sp. Nees; B.c., Botrytis cinerea Pers.; F.c., Fusarium culmorum (Wm.G.Sm.) Sacc.; F.g., F. graminearum Schwabe; F.o., F.oxysporum Schltdl.; F.p., F. proliferatum (Matsush.) Nirenberg ex Gerlach & Nirenberg; M.p., Macrophomina phaseolina (Tassi) Goid.; S.s., Sclerotinia sclerotiorum (Lib.) de Bary.
FIG. 1 in Biological activity of some Romanian and Turkish Trichoderma Pers. strains
FIG. 1. — In vitro antifungal activity of tested Trichoderma strains Ș4 (2), Td-Exp1 (3) and Td-Exp2 (4) against various plant pathogens (1), such as Fusarium culmorum (Wm.G.Sm.) Sacc. (A), F. oxysporum Schltdl. (B), Macrophomina phaseolina (Tassi) Goid. (C) and Sclerotinia sclerotiorum (Lib.) de Bary (D). Scale bars: 1 cm.
FIG. 3 in Biological activity of some Romanian and Turkish Trichoderma Pers. strains
FIG. 3. — Mycoparasitic activity of Trichoderma Td-Exp1 strains against plant pathogens:A, Botrytis cinerea Pers.; B, Fusarium graminearum Schwabe;C, Sclerotinia sclerotiorum (Lib.) de Bary. Scale bars: 1 cm.
FIG. 5 in Biological activity of some Romanian and Turkish Trichoderma Pers. strains
FIG. 5. — Metabolic activity in biofilm and antibiofilm effect of Trichoderma spp. against human pathogenic bacterial strains. Symbols: ns, no significant; *, p <0.05; **, p <0.01; ***, p <0.001; ****, p <0.0001.
Plaque assay images from the article "Predicting phage-bacteria interactions at the strain level from genomes"
<p>This dataset contains the plaque assay images for (i) the construction of the 403 bacteria * 96 phages interaction matrix and (ii) the "cocktails" experiment (100 E. coli strains challenged with recommended cocktails vs. a baseline). </p>
Fig. 3. Choanocystis symna spec. nov., strain CCAP 1597 in Two New Species of Centrohelid Heliozoans: Acanthocystis costata sp. nov. and Choanocystis symna sp. nov.
Fig. 3. Choanocystis symna spec. nov., strain CCAP 1597/1. (A) Scales of the air-dried specimen. Phase contrast. (B) Living cell. DIC. Contractile vacuoles (cv), kinetocysts (k), microtubule-organizing center (MTOC) and spine scales can be seen. (C) Living cell compressed with a cover-slip. Phase contrast. Nucleus (n) with a central nucleolus (nu) is visible. (D) Air-dried whole-mount of the cell. Type-slide NHMUK 2013.6.28.1. SEM. Spine scales and plate scales are visible. (E) The most common quantity of teeth on the tip of spine scale is four. SEM. (F) Spine scale with three teeth. SEM. (G) Tips of spine scales with five (left) and four (right) teeth. SEM. Scale bars: 5 μm (A–C), 10 μm (D), 1 μm (E–G).
Figs 1–11. Cochliopodium actinophorum, strain CCAP 1537 in Scale Structure of Cochliopodium actinophorum (Auerbach, 1856) (Amoebozoa, Cochliopodiidae) and a New Diagnosis of this Species
Figs 1–11. Cochliopodium actinophorum, strain CCAP 1537/10, light micrographs of the living amoebae (1–8) and electron micrographs of the whole mounts of scales (9–11). 1–4. Locomotive forms on the glass surface, note scales visible in 3 and 4. 5. Amoeba during non-directional movement. 6. Granuloplasm at a higher magnification showing crystals. 7. Nucleus. 8. Cyst. Scale bars: 10 µm in Figs 1–6 and 8, 5 µm in Fig. 7, 0.5 µm in 9, 0.25 µm in 10, and 1 µm in 11.
Dataset from the analysis of biological activity of endophytic strain Serratia quinivorans KP32, the expression of biocontrol-related genes and the activity of antioxidant enzymes in bacterial cells treated with pathogenic fungi filtrates
<p>This dataset contains the data from the analyses published in the article entitled "Genetic Determinants of Antagonistic Interactions and the Response of New Endophytic Strain <i>Serratia quinivorans</i> KP32 to Fungal Phytopathogens" in the International Journal of Molecular Sciences (https://doi.org/10.3390/ijms232415561). The data consist of results collected for studies on the antifungal activity of KP32 strain towards four fungal phytopathogens, results of primer efficiency determination and studies on the expression of genes potentially involved in biocontrol after treatment of KP32 strain with the fungal phytopathogens filtrates. Additionally, absorbances from activity tests for catalase (CAT) and superoxide dismutase (SOD) in the strain treated with fungal pathogens are included.</p>
Genomic Analysis of Public Klebsiella Reference Strains
<p>A genomic resource of <em>Klebsiella </em>reference strains from ATCC, NCTC and BEI Resources MRSN Diversity Panel.</p>
Bridging length scales in organic mixed ionic-electronic conductors through internal strain and mesoscale dynamics
<p>Understanding structural and dynamic properties of inherently disordered systems at the mesoscale is crucial. This is particularly important in organic mixed ionic-electronic conductors (OMIECs), which undergo significant and complex structural changes when operated in electrolyte. In this study, we investigate the mesoscale strain, reversibility, and dynamics of a model OMIEC material under external electrochemical potential using operando X-ray photon correlation spectroscopy. Our results reveal mesoscale strain and structural hysteresis that depend on the sample's cycling history, establishing a comprehensive kinetic sequence bridging the macroscopic and microscopic behaviors of OMIECs. Furthermore, we uncover equilibrium and non-equilibrium dynamics of charge carriers and material doping states, highlighting the unexpected coupling between charge carrier dynamics and mesoscale order. These findings advance our understanding of the structure-dynamics-function relationships in OMIECs, opening pathways for designing and engineering materials with improved performance and functionality in non-equilibrium states during device operation.</p>
Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks
<p>This dataset comes from the following paper:</p> <p>Matteo Arricca, Nicoletta Inverardi, Stefano Pandini, Maurizio Toselli, Massimo Messori, Giulia Scalet, Finite strain continuum phenomenological model describing the shape-memory effects in multi-phase semi-crystalline networks, Journal of the Mechanics and Physics of Solids, 105955, 2024. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jmps.2024.105955" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/j.jmps.2024.105955</span></span></a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>. txt experimental data</li> </ul>
Dataset of the publication: Spin-crossover nanoparticles anchored on MoS2 layers for heterostructures with tunable strain driven by thermal or light-induced spin switching
<p>Dataset of the publication: </p> <div>Spin-crossover nanoparticles anchored on MoS2 layers for heterostructures with tunable strain driven by thermal or light-induced spin switching</div> <div> <div>https://doi.org/10.1038/s41557-021-00795-y</div> <div>R. Torres-Cavanillas, M. Morant-Giner, G. Escorcia-Ariza, J. Dugay, J. Canet-Ferrer, S. Tatay, S. Cardona-Serra, M. Giménez-Marqués, M. Galbiati, A. Forment-Aliaga, E. Coronado, <em>Nat Chem</em> <strong>2021</strong>, <em>13</em>, 1101.</div> </div>
Dataset of the publication: Strain Switching in van der Waals Heterostructures Triggered by a Spin-Crossover Metal–Organic Framework
<p>Dataset of the publication: Strain Switching in van der Waals Heterostructures Triggered by a Spin-Crossover Metal–Organic Framework</p> <p>DOI: 10.1002/adma.202110027</p> <p>Boix-Constant, Carla; Garcia-Lopez, Victor; Navarro-Moratalla, Efren; Clemente-Leon, Miguel; Zafra, Jose Luis; Casado, Juan; Guinea, Francisco; Manas-Valero, Samuel; Coronado, Eugenio</p> <p> Adv. Mater. 34, 2110027 (2022)</p>
Data for the article "Strained crystalline nanomechanical resonators with ultralow dissipation"
<p>GDS fabrication masks, ringdown traces and compilations of fit results, exemplary Raman scans, results of relevant FEM simulations and some of the scripts used for generating the plots in the manuscript.</p>
Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'.
<p>Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'. doi: https://doi.org/10.1016/j.matchar.2020.110673</p>
Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compresion
<p>This repository contains the data and processed results of the work "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles (lentils) under triaxial compression</em>", published in Granular Matter (https://link.springer.com/article/10.1007/s10035-022-01305-8).</p> <p>The study analyses five triaxial compression tests on cylindrical specimens made up of more than nine thousand lentils. Each specimen is prepared with a characteristic orientation (the orientation of the mould for the deposition of the lentils). Repeated x-ray tomography scanning is performed during deviatoric loading, and each scanned step is reconstructed into a 3D volume. Particles are identified in the first 3D volume (in the form of a labelled image) and tracked from the first image all the way through the test using a novel tracking algorithm, enabling the measurement of particle and contact fabric evolution, as well as strain localisation within the specimens. All the procesing is performed using <a href="https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html">spam</a> (https://ttk.gricad-pages.univ-grenoble-alpes.fr/spam/intro.html) software.</p> <p> </p> <p>The <em>Readme.md</em> file contains further details on the experimental campaign, and the structure of the repository. Please refer to the paper "<em>Fabric evolution and strain localisation in inherently anisotropic specimens of anisometric particles under triaxial compression</em>" published on<em> Granular Matter</em> for further details not found on the <em>Readme.md </em>file . Additional information/data not included in this repository is available upon request.</p>
Stress, Strain, and Temperature measurement data for AISI 301 and AISI 316 stainless steels from tension tests with a sudden increase of strain rate
<p>This publication comprise data obtained during a tension test where the strain rate was suddenly changed from 10<sup>-4</sup> s<sup>-1 </sup>to 1.3x10<sup>3 </sup>s<sup>-1</sup>. The sudden increase in strain rate was carried out at different amounts of plastic strain. The tests were carried out with a modified tension Split-Hopkinson Pressure bar device. The force was measured from the stress bars using strain gages, whereas the strain was measured using high speed photography and digital image correlation. The temperature was measured using high speed infrared imaging. The data is part of the original publication in Journal of Dynamic Behavior of Materials. The original manuscript is available at https://doi.org/10.1007/s40870-022-00333-y</p> <p> </p>
Strain-dependent induction of primary bile acid 7-dehydroxylation by cholic acid.
<p>Raw data files for the publication <em>Strain-dependent induction of primary bile acid 7-dehydroxylation by cholic acid.</em></p>
Two global ensemble M5.95+ seismicity models obtained from the combination of interseismic strain rates and earthquake-catalogue data
<p>Contains two global earthquake-rate forecasts developed by Bayona et al. (2021) to be prospectively evaluated by the Collaboratory for the Study of Earthquake Predictability (CSEP). The Tectonic Earthquake Activity Model (TEAM) is a geodetic-based model using Version 2.1 of the Global Strain Rate Map (GSRM2.1; Kreemer et al., 2014), while the World Hybrid Earthquake Estimates based on Likelihood scores (WHEEL) is a model obtained from a multiplicative log-linear combination of TEAM with the Smoothed Seismicity (KJSS) model of Kagan and Jackson (2011).</p> <p>Earthquake densities are expressed as number of M5.95+ events per unit 0.1<sup>o</sup> cell per year. The forecasts are stored in tab separated value files, with the following fields (the first row of data is shown as an example):</p> <table> <tbody> <tr> <td><sub>lon_min</sub></td> <td><sub>lon_max</sub></td> <td><sub>lat_min</sub></td> <td><sub>lat_max</sub></td> <td><sub>depth_min</sub></td> <td><sub>depth_max</sub></td> <td><sub>5.95</sub></td> <td><sub>6.05</sub></td> <td>...</td> </tr> <tr> <td><sub>-180.0</sub></td> <td><sub>-179.9</sub></td> <td><sub>-90.0</sub></td> <td><sub>-89.9</sub></td> <td><sub>0.0</sub></td> <td><sub>70.0</sub></td> <td><sub>4.95e-11</sub></td> <td><sub>3.97e-11</sub></td> <td>...</td> </tr> </tbody> </table> <p>Data and forecasts are described in detail in the following publications:</p> <p>Bayona, J.A., Savran, W., Strader, A., Hainzl, S., Cotton, F. and Schorlemmer, D., 2021. Two global ensemble seismicity models obtained from the combination of interseismic strain measurements and earthquake-catalogue information. <em>Geophysical Journal International</em>, <em>224</em>(3), pp.1945-1955.</p> <p>Kreemer, C., Blewitt, G. and Klein, E.C., 2014. A geodetic plate motion and Global Strain Rate Model. <em>Geochemistry, Geophysics, Geosystems</em>, <em>15</em>(10), pp.3849-3889.</p> <p>Kagan, Y.Y. and Jackson, D.D., 2011. Global earthquake forecasts. <em>Geophysical Journal International</em>, <em>184</em>(2), pp.759-776.</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.