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Fig. 5 in New information on the pterosaur Tupandactylus imperator, with comments on the relationships of Tapejaridae

Fig. 5. Variation of mandibular morphology in Tapejaridae. A. Tupandactylus imperator (Campos and Kellner, 1997). B. Tapejara wellnhoferi Kellner, 1989. C. Sinopterus dongi Wang and Zhou, 2002. D. Tupuxuara leonardii Kellner and Campos, 1994. Not to scale.

opencc-by-4.0Jan 2010View details →
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Fig. 8 in New information on the pterosaur Tupandactylus imperator, with comments on the relationships of Tapejaridae

Fig. 8. Biochronology of Azhdarchoidea, based on the most parsimonious tree recovered by our analysis and recorded temporal range.

opencc-by-4.0Jan 2010View details →
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Supplementary information

<p><strong><span>Supporting Information</span></strong><span>:</span></p> <p><span>Fig. S1. Structure of Cet-IR700</span></p> <p><span>Cetuximab was conjugated to IR700. </span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S2. Method for determining the fluorescence decay rate</span></p> <p><span>To calculate the decay rate of the fluorescence intensity ratio, the difference between the ratio at a specific time (t0) and the ratio 15 seconds earlier (t0 - 15) was divided by 15 seconds. The average of these differences over the most recent 15 data points was then calculated and expressed as %/s.</span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S3. Real-time fluorescence imaging analysis of IR700</span></p> <p><span>(A) Small tumor and frontal irradiation were measured. Data are means &plusmn; s.e.m. (n&ge;11 mice in each group). (B) Large tumor and frontal irradiation were measured. Data are means &plusmn; s.e.m. (n&ge;8 mice in each group). (C) The condition of a large tumor and frontal irradiation were measured. Data are means &plusmn; s.e.m. (n&ge;8 mice in each group). </span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S4. Correlation between antitumor effect and irradiation dose</span></p> <p><span>No correlation between tumor growth rate and irradiation dose among the three conditions was observed (Spearman&rsquo;s test was conducted). </span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S5. Body weight of mice after photoimmunotherapy</span></p> <p><span>No abnormal weight loss was observed in any group.</span></p> <p><span>Notes: Cet-IR 700, cetuximab and IR700 conjugated antibody</span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S6. Histological findings 24 h after photoimmunotherapy using cylindrical irradiation. </span></p> <p><span>While little to no observations were made in the untreated and Cet-IR700-only groups, distinct cell death and reduced expression of EGFR fluorescence were noted in tumors where laser irradiation was halted at a clinical dose of &ndash;0.2%/s. Dead cells exhibited reduced expression of EGFR, while the expression of DAPI persisted. Scale bar: (A) 500 &micro;m, (B) 100 &micro;m.</span></p> <p><span>&nbsp;</span></p> <p><span>Fig. S7. Histological observations 24 h after photoimmunotherapy - magnified view</span></p> <p><span>(A) Frontal and (B) cylindrical irradiation. Scale bar: 50 &micro;m, both.</span></p> <p><span>Little to no cell death was observed in the untreated and Cet-IR700-only tumors. </span></p> <p><span>HE staining revealed the presence of a granular layer, hyperkeratosis, and abnormal keratinization in tumors subjected to frontal 50 J/cm<sup>2</sup> and frontal &ndash;0.2%/s. In the same region, the nuclei were stained with DAPI but exhibited pyknosis. Furthermore, a decrease in the membrane expression of EGFR was observed.</span></p>

opencc-by-4.0Aug 2024View details →
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Integrated Taxonomic Information System (ITIS): ITIS (383) in DwC-A

ITIS provides authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. We are a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. <p></p>https://www.itis.gov/

opencc-by-4.0Aug 2024View details →
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Fig. 5 in Same information, new applications: revisiting primers for the avian COI gene and improving DNA barcoding identification

Fig. 5 Percentage of template sequences coverage of the primer subsets analyzed on the second evaluation round. The red dashed line represents the complete coverage of the analyzed template sequences

opencc-by-4.0Aug 2021View details →
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Fig. 4 Primers binding position distributed along the 1,500 in Same information, new applications: revisiting primers for the avian COI gene and improving DNA barcoding identification

Fig. 4 Primers binding position distributed along the 1,500 bp of the avian COI gene. A Binding position of forward primers. B Binding position of reverse primers

opencc-by-4.0Aug 2021View details →
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Fig. 3 in Same information, new applications: revisiting primers for the avian COI gene and improving DNA barcoding identification

Fig. 3 Effect of the number of allowed primer-template mismatches on primer binding. Y-axis = number of primers with at least one binding event on every scenario of allowed mismatches (X-axis)

opencc-by-4.0Aug 2021View details →
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Fig. 1 Retrieved data distribution. A in Same information, new applications: revisiting primers for the avian COI gene and improving DNA barcoding identification

Fig. 1 Retrieved data distribution. A Distribution of published primers for the barcode region of the avian COI gene throughout the years. B Number of complete COI sequences available for each bird order

opencc-by-4.0Aug 2021View details →
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Fig. 2 in Same information, new applications: revisiting primers for the avian COI gene and improving DNA barcoding identification

Fig. 2 Variation on the number of primers bound to the template sequences of each bird order. The dots represent data outliers

opencc-by-4.0Aug 2021View details →
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Extended dataset and Coreq Checklist for 'Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"

<p>Individual user test interview guides and group interview guides for multiple stakeholders</p> <p>Coreq checklist</p> <p>Design reporting checklist</p>

opencc-by-4.0Apr 2023View details →
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Crystallographic Information Files of K-bearing tourmaline from Kazakhstan

<p>Crystallographic Information Files on K-bearing tourmalines from Kazakhstan. Data collected with a BRUKER KAPPA APEX II and evaluated with SHELXl&nbsp;</p>

opencc-by-4.0Aug 2024View details →
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Dataset of article: Residual capacity of RC beams subjected to impact loading: influence of reinforcement ductility. Part 1: General information

<p><strong>Part 1: General information</strong></p> <p>Results in this dataset are presented in Johansson et. al. (2024). Any results used from this open access data shall be cited to:</p> <p><span>Johansson M., Lepp&auml;nen J., Andersson M. and Pettersson E. (2024). Residual Capacity of RC Beams Subjected to Impact Loading: Influence of reinforcement ductility.&nbsp;<em>International Journal of Protective Structures</em>. </span><a href="https://doi.org/10.1177/20414196241277221"><span>https://doi.org/10.1177/20414196241277221</span></a><span> </span></p> <p>The presented data is based on Andersson and Pettersson (2019):</p> <p>Andersson M. and Pettersson E. (2019). Reinforced concrete beams subjected to drop-weight impact: Experimental study of the influence of reinforcement properties on the structural response. Department of Architecture and Civil Engineering. Gothenburg, Sweden: Chalmers University of Technology. Master&rsquo;s Thesis ACEX30-19-27.</p> <p>---</p> <p>This dataset consists of the following records:</p> <p><strong>Part 1: General information</strong></p> <p>Andersson and Pettersson 2019 - Reinforced Concrete Beams Subjected to Drop-Weight Impact</p> <p><strong>Part 2: Series S</strong></p> <p>Static tests &ndash; COM Correlate files</p> <p><strong>Part 3: Series I10</strong></p> <p>Static tests &ndash; COM Correlate files</p> <p>Impact tests &ndash; High speed images</p> <p>Impact tests &ndash; COM Correlate files</p> <p><strong>Part 4: Series I20</strong></p> <p>Static tests &ndash; COM Correlate files</p> <p>Impact tests &ndash; High speed images</p> <p>Impact tests &ndash; COM Correlate files</p> <p><strong>Part 5: Result files</strong></p>

opencc-by-4.0Aug 2024View details →
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Figure 8 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)

Figure 8. - Growth curve and back calculated length at age by sex of T. a. imperialis from Tunisian coast.

opencc-by-4.0Dec 2014View details →
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Figure 2 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)

Figure 2. - Length-weight relationships of T.a. imperialis from Tunisian coast. A: Females; B: Males.

opencc-by-4.0Dec 2014View details →
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Complex Lava Tube Networks Developed Within the 1792-93 Lava Flow Field on Mount Etna (Italy): Insights for hazard assessment Supporting Informations: Maps and sections of the lava tubes

<div> <div> <div> <p>This supporting information for the above paper submitted to Frontiers in Earth Science - Volcanology, comprises Table 1, as well as the maps and sections of the 8 lava tubes analyzed in this paper, that are located within the 1792-93 lava flow field at Etna volcano. The methods used for the new surveys of the lava tubes are also explained.</p> </div> </div> </div>

opencc-by-4.0Jun 2024View details →
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Figure 2 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran

Figure 2. Distribution of Rhinogecko misonnei in Iran. Filled square: type locality (de Witte 1973). Filled circle: new locality.

opencc-by-4.0Nov 2011View details →
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Figure 4 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran

Figure 4. Rhinogecko misonnei: (A) head from side; (B) head from below; (C) head from above; (D) snout from above; (E,F) dorsum; (G) femoral scale; (H) preanal pores; (I) ventral surface of digit; (J) tail from above; (K) tail from below; (L) belly.

opencc-by-4.0Nov 2011View details →
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Supporting Information for "Deep-Sea Carbonate Carbon Sequestration in the Pacific Ocean since the Early Cenozoic"

<p>This collection of files is supplementary to:</p> <p>Dalvand, F., Dutkiewicz, A., Wright, N.M., Mather, B.R. and Müller, R.D., Deep-Sea Carbonate Carbon Sequestration in the Pacific Ocean since the Early Cenozoic.</p> <p>The archive contains:&nbsp;<br>2 folders of data files: &ldquo;Backtracked_sites&rdquo; and &ldquo;Regional_Cenozoic_carbonate_thickness_grids&rdquo;<br>1 excel workbook: Table_S1_model_data_summary_for_six_regions_of_the_Pacific.xlsx&nbsp;<br>1 animation: &ldquo;Movie_S1_compacted_carbonate_thickness_map_of_the_pacific.mp4&rdquo;</p> <p>&ldquo;Backtracked_sites&rdquo; folder</p> <p>This folder has 6 subfolders containing pyBacktrack output files, each corresponding to a single DSDP, ODP or IODP drill site from one of six regions of the Pacific.&nbsp;</p> <p>Files named &ldquo;Site*_age_depth_waterdepth.txt&rdquo; contain data on age (Ma), compacted_depth (m), compacted_thickness (m), decompacted_thickness (m), &nbsp;decompacted_density (g/cm^3), water_depth (m), tectonic_subsidence (m), decompacted_depth (m), dynamic_topography (m) and lithology.</p> <p>Files named &ldquo;Site*_depth_age_waterdepth_dens_DLSR_carb_CAR_filter_width_1my_step_0.5my.txt&rdquo; contain data on age, depth, paleowater depth, dry bulk density, decompacted linear sedimentation rate (DSLR), carbonate content, and carbonate accumulation rate (CAR).</p> <p>&ldquo;Regional_Cenozoic_carbonate_thickness_grids&rdquo; folder</p> <p>This folder has 6 subfolders, each containing NetCDF files of modeled Cenozoic carbonate thicknesses for a different region of the Pacific from 55 Ma to 0 Ma in 1 Myr intervals. The workflow for generating these grids can be found on GitHub at https://github.com/EarthByte/CarbonateSedimentThickness</p> <p>"Table_S1_model_data_summary.xlsx"<br>&nbsp;<br>This workbook contains computed decompacted carbonate sediment volume, decompacted carbonate sediment thickness, carbonate carbon flux, carbonate carbon mass and carbonate compensation depth (CCD) for six regions of the Pacific spanning 55 Ma to 0 Ma in 1 Myr intervals.</p> <p>"Movie_S1_compacted_carb_thick_Pacific_55-0Ma.mp4"&nbsp;</p> <p>This file shows the Cenozoic evolution of the carbonate sediment thickness in the Pacific from 55 Ma to 0 Ma in 1 Myr intervals.</p> <p><br>Reference:</p> <p>Müller, R. D., Cannon, J., Williams, S. and Dutkiewicz, A., 2018, PyBacktrack 1.0: A Tool for Reconstructing Paleobathymetry on Oceanic and Continental Crust, Geochemistry, Geophysics, Geosystems, 19, 1898-1909, https://doi.org/10.1029/2017GC007313.</p>

opencc-by-4.0Sep 2024View details →
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Supporting Information for Accelerating Combustion Mechanism Discovery with Automated Uncertainty, Sensitivity, Thermodynamics, and Kinetics Calculations

<p>Supplementary material to accompany the manuscript "Accelerating Combustion Mechanism Discovery with Automated Uncertainty, Sensitivity, Thermodynamics, and Kinetics Calculations" by Sevy Harris and Richard H West.</p> <ul> <li>The software (mostly Python scripts) is in autoscience_workflow.zip.&nbsp;</li> <li>DFT results (Gaussian log files, Arkane input files, Arkane output files) for all species and reactions are in dft.zip</li> <li>RMG-built detailed kinetic models are in mechanisms.zip&nbsp;</li> <li>Additional plots and results (as described in the manuscript) are in supporting_information.pdf</li> </ul>

opencc-by-4.0Sep 2024View details →
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Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading"

<p>Title of dataset: Data for "Using physics-informed neural networks to predict the lifetime of laser powder bed fusion processed 316L stainless steel under multiaxial low-cycle fatigue loading".</p> <p>Name/institution/contact information: Dr. Michal Barto&scaron;&aacute;k, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz.</p> <p>Date of data collection: The data were collected between 2021 and 2024.</p> <p>File name structure: The data consists of two files: "316L_fatigue_and_defects.xls," which contains fatigue lifetime data and defect characteristics, and an associated description file, "read_me.txt."</p> <p>See "https://doi.org/10.1016/j.ijfatigue.2024.108608" for the associated article and a detailed description of the methods.</p>

opencc-by-4.0Sep 2024View details →

ScienceDex guides

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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