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Fig. 12 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 12. Tadpoles of Kaloula pulchra during ontogenetic development: Stages 35 to 46. Scale bars = 1 mm unless otherwise stated.

opencc-by-4.0Jan 2023View details →
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Fig. 1 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 1. Adult frogs that provided the eggs that were used in this study: A, amplectant pair of Duttaphrynus melanostictus; B, amplectant pair of Kaloula pulchra; C, female of Polypedates megacephalus after oviposition; D, amplectant pair of Occidozyga lima.

opencc-by-4.0Jan 2023View details →
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Fig. 11 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 11. Tadpoles of Kaloula pulchra during ontogenetic development: Stages 25 to 33. Scale bars = 1 mm unless otherwise stated.

opencc-by-4.0Jan 2023View details →
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Fig. 15 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 15. Growth pattern of Occidozyga lima tadpoles. A, change of SVL as a function of development (stages); B, change of total length as a function of development (stages); C, change of relative tail length (ratio tail length/SVL) as a function of development (stages).

opencc-by-4.0Jan 2023View details →
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Fig. 23 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 23. Growth pattern of Polypedates megacephalus tadpoles. A, change of SVL as a function of development (stages); B, change of total length as a function of development (stages); C, change of relative tail length (ratio tail length/SVL) as a function of development (stages).

opencc-by-4.0Jan 2023View details →
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Fig. 14 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 14. Tadpoles of Kaloula pulchra. A, B, Stage 36 showing details of oral apparatus; C, Stage 32 showing details of vent region.

opencc-by-4.0Jan 2023View details →
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Fig. 10 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 10. Tadpoles of Kaloula pulchra during ontogenetic development: Stages 1 to 23. Scale bars = 1 mm unless otherwise stated.

opencc-by-4.0Jan 2023View details →
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Fig. 3 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 3. Growth pattern of Duttaphrynus melanostictus tadpoles. A, change of SVL as a function of development (stages); B, change of total length as a function of development (stages); C, change of relative tail length (ratio tail length/SVL) as a function of development (stages).

opencc-by-4.0Jan 2023View details →
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Fig. 9 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 9. Growth pattern of Kaloula pulchra tadpoles. A, change of SVL as a function of development (stages); B, change of total length as a function of development (stages); C, change of relative tail length (ratio tail length/SVL) as a function of development (stages).

opencc-by-4.0Jan 2023View details →
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Fig. 4 in Comparative study of the larval development of four anuran species from the Khorat Plateau, Thailand

Fig. 4. Tadpoles of Duttaphrynus melanostictus during ontogenetic development: Stages 1 to 18. Scale bars = 1 mm unless otherwise stated.

opencc-by-4.0Jan 2023View details →
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Deformation simulation results of Capriccio method coupled systems for conducting comparative one- and multidimensional studies on the coupling of the finite element method with particle-based techniques

<p>readme_3Dresults.txt</p> <p><br> <strong>Description</strong>:</p> <p>This readme explains the content and path structure of the results obtained from a<br> deformation test conducted on slightly different MD-FE coupled systems performing the<br> Capriccio method in a three-dimensional space within the associated project thesis [1],<br> published on the following dataset: <a href="https://doi.org/10.5281/zenodo.7924367">https://doi.org/10.5281/zenodo.7924367</a></p> <p>Furthermore, input files and parameters as well as potential tables required to reproduce<br> the obtained data are provided as well.</p> <p>The molecular dynamics (MD) part is executed in LAMMPS and the finite element (FE) method<br> part by a MATLAB script as described in Section 4.1 of [1]. The whole setup of the 3D<br> models is elaborated in Section 4.2 of [1]. A discussion of some results is given in<br> Chapter 6 of [1] in the context of assessing their comparability with the corresponding 1D<br> model.</p> <p><br> <strong>Context</strong>:</p> <p>[1] L. Laubert, &quot;Establishing a framework for conducting comparative one- and<br> multidimensional studies on the coupling of the finite element method with<br> particle-based techniques&quot;, Project Thesis, Friedrich-Alexander-Universit&auml;t<br> Erlangen-N&uuml;rnberg (FAU), 2023.</p> <p><br> <strong>Contact</strong>:</p> <p>Lukas Laubert<br> Institute of Applied Mechanics<br> Friedrich-Alexander-Universi&auml;t Erlangen-N&uuml;rnberg<br> Egerlandstra&szlig;e 5<br> 91058 Erlangen</p> <p><br> <strong>License</strong>:</p> <p>Creative Commons Attribution Non Commercial 4.0 International</p> <p><br> <strong>Path structure and files</strong>:</p> <p>- The ZIP compressed files each contain a folder containing all simulation files as well as<br> &nbsp; postprocessing variables:<br> * /FE_data/ contains all output files after each FE simulation in each iteration step<br> * /MD_data/ contains all output files after each MD simulation in each iteration step<br> * /input_files/ contains the input FE model &quot;cgps_dpd_c_1_2000.inp&quot;, the MD particle<br> &nbsp; configurations &quot;cgps_dpd_c_1_2000.data&quot;, the AP particle coordinates&nbsp;<br> &nbsp; &quot;cgps_dpd_c_1_2000.ac&quot; as well as further Abaqus CAE FE files that<br> &nbsp; can be used to adapt the present FE model<br> * /input_parameters/ contains the parameter dataset; &quot;Capriccio.prm&quot; is the main parameter<br> &nbsp; dataset, whose adaptations lead to similar adjustments in the other parameter files<br> * &quot;Capriccio_FEMD_main_meggie_WZ.sh&quot; is a shell script for executing simulations<br> * &quot;job.out&quot; is an output protocol that documents the progress of the simulations<br> * &quot;Job.err&quot; is an error protocol that documents detected errors during the simulations<br> * &quot;log.lammps&quot; logs MD parameter sets<br> * &quot;meta.info&quot; provides version information of used softwares among few other information<br> * &quot;next_job.info&quot; documents the next load step and iteration step that is to be executed<br> &nbsp; when simulation jobs are restarted on the used computation cluser<br> * **_workspace_vars.mat comprises a set of postprocessing variables obtained by executing a<br> &nbsp; postprocessing script provided by Capriccio group</p> <p>- &quot;md_dpd_main-CBpot-writeobs-sandw.in&quot; is an input script that further defines and loads<br> &nbsp; MD simulation parameter</p> <p>- ***_table are potential tables applied during the MD simulations<br> * &quot;Angle_table&quot; lists the angle bending potential<br> * &quot;Bond_table&quot; lists the bond potentials<br> * &quot;Nonbond_table&quot; lists the non-bonded interaction potential</p>

opencc-by-4.0May 2023View details →
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Raw Data for Unpublished Study "Healthy Women Show More Experimentally-Induced Central Sensitization Compared to Men"

<p>Version sex_v01_20230409</p> <p>Main authors: Alexandros Guekos, Janis Saxer, Diego Salinas Gallegos, and Petra Schweinhardt</p> <p>The present data was collected from April 2021 to December 2022 for a study on sex-specific differences in central sensitization (CS) proxies in healthy young adults.</p> <p>The results are to be published soon. A link to the manuscript will be provided.</p> <p>Full details of the paradigm, the experimental setup, and the analysis will be given there. Therefore, the following description only summarizes the most important steps.</p> <p>In brief, 66 subjects (33 men and 33 women) participated in a single experimental session during which a CS induction protocol consisting of repetitive noxious heat stimuli over about 12 minutes of 10 blocks at 48 degrees centigrade was applied to the lateral dorsum of the foot proximal to the malleolus. A sham protocol (where temperature remained at baseline for the whole time) was performed on the contralateral foot. Order of protocol and choice of starting side was pseudorandomly varied across participants. Participants had to rate mean temperature intensity per block on a scale from 0 (no sensation) to 200 (maximum tolerable pain) with 100 corresponding to the individual heat pain threshold (HPT).</p> <p>The CS induction protocol has previously been published (J&uuml;rgens, Tim P., et al. &quot;An improved model of heat-induced hyperalgesia?repetitive phasic heat pain causing primary hyperalgesia to heat and secondary hyperalgesia to pinprick and light touch.&quot; PLoS One 9.6 (2014): e99507, https://doi.org/10.1371/journal.pone.0099507) and validated (Scheuren, Paulina S., et al. &quot;Pain?autonomic interaction: A surrogate marker of central sensitization.&quot; European journal of pain 24.10 (2020): 2015-2026, https://doi.org/10.1002/ejp.1645). Details on this CS induction protocol can be found in the two aforementioned publications.</p> <p>In the present paradigm, two measures of CS proxies were collected before and about 20 minutes after CS induction.</p> <p>On the one hand, mechanical sensitivity testing (by von 256 mN Frey filament and by soft brush of about 300 mN) was performed on the foot dorsum along five radial lines of 5 cm length (separated at 45 degrees) in the skin area adjacent to the primary area of painful stimulation. For the von Frey filament, testing was done every 5 mm along each line, always starting from the outermost point moving inwards (10 points in total). For the soft brush, strokes of 10mm were applied (5 strokes in total). Participants had to report a definite change in sensation w.r.t. to the outermost point.</p> <p>On the other hand, the nociceptive withdrawal (NWR) reflex was elicited at the retromalleolar pathway of the sural nerve and surface electromyography (sEMG) was recorded from the biceps femoris (BF), rectus femoris (RF), and tibialis anterior (TA) muscles.</p> <p>For NWR elicitation, the reflex threshold was first determined at the BF. For threshold determination, a single ascending staircase with either single electrical stimulations or triplets (at 2Hz) were used. From the triplets, only the muscle response to the third stimulation was analysed. The higher of the two obtained currents was then used as the NWR threshold.</p> <p>Then 15 stimulations at 120% threshold current and 15 at 140% were applied. The order of stimulations was random with the restriction that not more than five identical stimulations in a row were allowed. The interstimulus interval was randomly varied between 5 and 15 s.</p> <p>Every electrical stimulation consisted of a train of five rectangular stimuli of 1 ms duration delivered at 200 Hz. Muscle responses were recorded from 120 pre- to 380 ms post-stimulation. The recorded sEMG signals were sampled at 48 kHz and downsampled to 6 kHz, rectified, band-pass filtered from 10 Hz to 500 Hz and amplified up to 125 times. Between 120 ms pre- and 380 ms post-stimulation, traces for all applied stimulations were automatically saved into separate txt files.</p> <p>Please consult the README.txt file for details on the structure of the uploaded data and for information w.r.t. potential instances of incompleteness or unusability.</p> <p>The study was funded by the Swiss National Science Foundation as part of a grant to PS (grant number 320030_179191/1).</p> <p>The study was registered at clinicaltrials.gov (NCT05031286).</p>

opencc-by-4.0Apr 2023View details →
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ChatGPT's performance in dentistry and allergy-immunology assessments: a comparative study

<p>Data on ChatGPT 3&#39;s&nbsp;and ChatGPT 4&#39;s performance on self-assessment questions for dentistry (SFLEDM) and allergy and clinical immunology (EEAACI), sourced&nbsp;from the University of Bern&rsquo;s Institute for Medical Education platform.</p>

opencc-by-4.0Dec 2022View details →
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Figure 18 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 18. – Third vertebra: cranial (A-C) and left lateral (D-F) view of the third vertebra of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 13 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 13. – Supracleithrum: lateral view of the left supracleithrum of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 15 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 15. – Vomer: dorsal (A-C) and ventral (D-F) view of the vomer of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 12 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 12. – Cleithrum: medial (A-C), lateral (D-F) and anterior (G-I) view of the left cleithrum of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 5 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 5. – Lacrimal: medial (A-C) and lateral (D-F) view of the left lacrimal of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 14 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 14. – Urohyal: dorsal (A-C), left lateral (D-F) and cranial (G-I) Figure 16. – First vertebra: cranial (A-C) and left lateral (D-F) view of the left urohyal of S. galilaeus, O. niloticus and C. zillii. Scale view of the first vertebra of S. galilaeus, O. niloticus and C. zilbar = 1 cm. lii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →
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Figure 1 in Comparative osteological study of three species of distinct genera of Haplotilapiini (Cichlidae)

Figure 1. – Premaxilla: medial (A-C), lateral (D-F), cranial (G-I) and ventral (J-L) view of the left premaxilla of S. galilaeus, O. niloticus and C. zillii. Scale bar = 1 cm.

opencc-by-4.0Jul 2017View details →

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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