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31,887 results for “three”

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zenodo40/100

Fig. 2 in On three species of Plexippoides Prószyński, 1984 from Southwest, China (Araneae: Salticidae)

Fig. 2. Plexippoides cornutus Xie & Peng, 1993. A–D, G, J. ♀ (TRU-JS 0713). E–F, H–I. ♂ (TRUJS 0708). A, C. Epigyne, ventral view. B, D. Vulva, dorsal view. E–G. Habitus. E, G. Dorsal view. F. Ventral view. H. Carapace, frontal view. I. Chelicera, posterior view. J. Path of copulatory duct, dorsal view. Abbreviations: see Material and methods. Scale bars: A–D, I = 0.1 mm; E–H = 1.0 mm.

opencc-by-4.0Oct 2024View details →
zenodo40/100

Fig. 3 in On three species of Plexippoides Prószyński, 1984 from Southwest, China (Araneae: Salticidae)

Fig. 3. Male palp of Plexippoides meniscatus Yang, Zhu & Song, 2006 (TRU-JS 0722). A. Ventral view. B. Retrolateral view. Abbreviations: see Material and methods. Scale bars = 0.2 mm.

opencc-by-4.0Oct 2024View details →
zenodo40/100

Fig. 1 in On three species of Plexippoides Prószyński, 1984 from Southwest, China (Araneae: Salticidae)

Fig. 1. Male palp of Plexippoides cornutus Xie & Peng, 1993 (TRU-JS 0708). A. Prolateral view. B. Ventral view. C. Retrolateral view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Oct 2024View details →
zenodo40/100

Fig. 4 in On three species of Plexippoides Prószyński, 1984 from Southwest, China (Araneae: Salticidae)

Fig. 4. Plexippoides meniscatus Yang, Zhu & Song, 2006. A–B, G. ♀ (TRU-JS 0724). C–D, J. ♀ (TRU-JS 0725). E–F, H–I. ♂ (TRU-JS 0722). A, C. Epigyne, ventral view. B, D. Vulva, dorsal view. E–G. Habitus. E, G. Dorsal view. F. Ventral view. H. Carapace, frontal view. I. Chelicera, posterior view. J. Path of copulatory duct, dorsal view. Abbreviations: see Material and methods. Scale bars: A–D, I = 0.1 mm; E–H = 1.0 mm.

opencc-by-4.0Oct 2024View details →
zenodo40/100

A dataset of three vine water status indicators, weather records and soil water capacity components collected from a rain-fed Mediterranean vineyard

<p>This dataset contains three key indicators of vine water status: vine shoot growth index (iG-Apex), predawn leaf water potential (&Psi;pd), and carbon isotope ratio (&delta;13C). Additionally, it includes weather data and soil measurements. Spatial data files of studied fields, plots, and some vines&rsquo; locations are also provided.&nbsp;The data were collected from a rain-fed vineyard in Southern France, 4 km north of the Mediterranean Sea. Measurements were made at the plot level, with each plot consisting of 10 adjacent grapevines (Vitis Vinifera). The iG-Apex was recorded weekly from June 10 to August 22, 2022, across 70 vine plots. &Psi;pd was measured weekly between 3 a.m. and 5 a.m. in 12 of these plots using a pressure chamber. On August 23, 2022, 100 berries were sampled from each plot, and 1.5 mL of grape juice was extracted for &delta;13C analysis using a carbon analyzer and mass spectrometer. The dataset contains 761 iG-Apex measurements (70 time series), 720 &Psi;pd measurements (60 time series), and 70 single-date &delta;13C measurements. Weather data were recorded daily in 2022 from a weather station located at the vineyard's center, providing five parameters: cumulative rainfall, relative humidity, and three air temperatures (mean, minimum, and maximum). Soil available water capacity components (horizon thickness, field capacity, permanent wilting point, bulk density, and rock fragment content) were measured in 5 of the 70 plots after prior soil profile wall analyses.&nbsp;Monitoring vine water status is essential for optimizing grape yield and wine quality. While &Psi;pd and &delta;13C are considered reference methods, they are expensive and prone to logistical constrains. In contrast, iG-Apex can be collected with minimal time and financial investment. This dataset enables not only the exploration of statistical relationships between the plant-based and soil-based indicators, but also the modeling of &Psi;pd and/or &delta;13C using iG-Apex, while accounting for weather and soil influences. All data were georeferenced, allowing future integration of ancillary spatial data sources, like multi-spectral remote sensing images or yield data.</p>

opencc-by-4.0Oct 2024View details →
zenodo40/100

Determining aligner-induced tooth movements in three dimensions using clinical data of two patients: datasets

<h2>Abstract</h2> <p>The effectiveness of a series of optically transparent aligners for orthodontic treatments depends on the anchoring of each tooth. In contrast with the roots, the crowns&rsquo; positions and orientations are measurable with intraoral scans, thus avoiding any X-ray dose. Exemplified by two patients, we demonstrate that three-dimensional crown movements could be determined with micrometer precision by registering weekly intraoral scans. The data show the movement and orientation changes in the individual crowns of the upper and lower jaws as a result of the forces generated by the series of aligners. During the first weeks, the canines and incisors were more affected than the premolars and molars. We detected overall tooth movement of up to about 1 mm during a nine-week active treatment. The data on these orthodontic treatments indicate the extent to which actual tooth movement lags behind the treatment plan, as represented by the aligner shapes. The proposed procedure can not only be used to quantify the clinical outcome of the therapy, but also to improve future planning of orthodontic treatments for each specific patient. This study should be treated with caution because only two cases were investigated, and the approach should be applied to a reasonably large cohort to reach strong conclusions regarding the efficiency and efficacy of this therapeutic approach.</p> <h2>Data</h2> <p>The repository contains the data of the intraoral scans and all data where manual interactions were performed to allow reproducing the results.&nbsp;</p> <p>The directory and file names are as follows:</p> <table> <tbody> <tr> <td><strong>Name</strong></td> <td><strong>Level, type<br></strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><em>p</em>_Clinical_Trial</td> <td>1st, directory</td> <td>Patient <em>p</em>: <em>p</em>=3485 stands for patient A, <em>p</em>=6457 stands for patient B</td> </tr> <tr> <td>Bottmedical</td> <td>2nd, directory</td> <td>Planning data</td> </tr> <tr> <td>Sirona</td> <td>2nd, directory</td> <td>Intraoral scan data</td> </tr> <tr> <td>T<em>n</em></td> <td>3rd, directory</td> <td>Time step <em>n</em> for <em>n</em>=0: before treatment, <em>n</em>=1-9: after 1-9 weeks of treatment; <em>n</em>=10: end of treatment</td> </tr> <tr> <td>Lower_Aligner_<em>n</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh of planned data, lower jaw for time step <em>n</em></td> </tr> <tr> <td>Upper_Aligner_<em>n</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh of planned data, upper jaw for time step <em>n</em></td> </tr> <tr> <td><em>p</em>_OnyxCeph3_Export_<em>j</em>_cut1.stl</td> <td>4th, file</td> <td>Manually cut surface mesh from intraoral scan, for lower (<em>j</em>=UK) or upper (<em>j</em>=OK)&nbsp; jaw</td> </tr> <tr> <td><em>p</em>_OnyxCeph3_Export_<em>j</em>.stl</td> <td>4th, file</td> <td>Original surface mesh from intraoral scan, for lower (<em>j</em>=UK) or upper (<em>j</em>=OK)&nbsp; jaw</td> </tr> <tr> <td>teethSeg</td> <td>4th, directory</td> <td>Segmented crowns via OnyxCeph3 TM</td> </tr> <tr> <td>teethSeg_noSnap_TolS</td> <td>4th, directory</td> <td>Transferred crown segmentations and occlusion plane points</td> </tr> <tr> <td><em>p</em>_Z<em>i</em>.stl</td> <td>5th, file</td> <td> <p>Surface mesh of crown segmentation for tooth number <em>i </em>of patient<em>&nbsp;p<br></em></p> </td> </tr> <tr> <td><em>p</em>_<em>j</em>.stl</td> <td>5th, file</td> <td> <p>Surface mesh of all crown segmentations for&nbsp; lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw of patient&nbsp;<em>p</em></p> </td> </tr> <tr> <td><em>p</em>_<em>j</em>_occPlane.mat</td> <td>5th, file</td> <td> <p>Binary Matlab file of saved variable occPlane, which defines transferred occlusion plane points for lower (<em>j</em>=UK) or upper (<em>j</em>=OK) jaw of patient <em>p</em></p> </td> </tr> </tbody> </table> <p>File formats:</p> <p>stl files describe an unstructured triangulates surface by vertices and triangles. These files can be read by the open source software freecad or the MATLAB function stlread.</p> <p>mat files are MATLAB files and can be read via MATLAB function load.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Fig. 10 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 10. Meotipa tortuosa sp. nov., ♂, paratype (HNU814). A–C. Left palp. A. Prolateral view. B. Ventral view. C. Retrolateral view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 9 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 9. Meotipa tortuosa sp. nov., ♂, paratype (HNU814). A–C. Habitus. A. Dorsal view. B. Ventral view. C. Lateral view. D–E. Left palp. D. Prolateral view. E. Ventral view. F. Retrolateral view. Abbreviations: see Material and methods. Scale bars: A–C = 1 mm; D–F = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 8 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 8. Meotipa tortuosa sp. nov., ♀, holotype (HNU813). A. Epigyne, ventral view. B. Vulva, dorsal view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 7 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 7. Meotipa tortuosa sp. nov., ♀, holotype (HNU813). A–C. Habitus. A. Dorsal view. B. Ventral view. C. Lateral view. D–E. Epigyne, ventral view. F. Vulva, dorsal view (E–F, after digestion with pancreatin). Abbreviations: see Material and methods. Scale bars: A–C = 0.5 mm; D–F = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 5 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 5. Meotipa pseudomultuma sp. nov., ♂, paratype (HNU803). A–C. Habitus. A. Dorsal view. B. Ventral view. C. Lateral view. D–E. Left palp. D. Prolateral view. E. Ventral view. F. Retrolateral view. Abbreviations: see Material and methods. Scale bars: A–C = 0.5 mm; D–F = 0.1 mm.

opencc-by-4.0Nov 2024View details →
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Fig. 6 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 6. Meotipa pseudomultuma sp. nov., ♂, paratype (HNU803). A–C. Left palp. A. Prolateral view. B. Ventral view. C. Retrolateral view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 4 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 4. Meotipa pseudomultuma sp. nov., ♀, holotype (HNU802). A. Epigyne, ventral view. B. Vulva, dorsal view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 2 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 2. Meotipa lingulata sp. nov., ♀, holotype (HNU800). A. Epigyne, ventral view. B. Vulva, dorsal view. Abbreviations: see Material and methods. Scale bars = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 1 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 1. Meotipa lingulata sp. nov., ♀, holotype (HNU800). A–C. Habitus. A. Dorsal view. B. Ventral view. C. Lateral view. D–E. Epigyne, ventral view. F. Vulva, dorsal view (E–F, after digestion with pancreatin). Abbreviations: see Material and methods. Scale bars: A–C = 1 mm; D–F = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Fig. 3 in Three new species of the spider genus Meotipa Simon, 1895 from Guangxi Zhuang Autonomous Region, China (Araneae: Theridiidae)

Fig. 3. Meotipa pseudomultuma sp. nov., ♀, holotype (HNU802). A–C. Habitus. A. Dorsal view. B. Ventral view. C. lateral view. D–E. Epigyne, ventral view. F. Vulva, dorsal view (E–F, after digestion with pancreatin). Abbreviations: see Material and methods. Scale bars: A–C = 0.5 mm; D–F = 0.1 mm.

opencc-by-4.0Nov 2024View details →
zenodo40/100

Evolution and the quasistationary state of collective fast neutrino flavor conversion in three dimensions without axisymmetry

<p>This repository contains the simulation data used in the study titled `Evolution and the quasistationary state of collective fast neutrino flavor conversion in three dimensions without axisymmetry`. All the necessary data are provided in the hdf5 file. Please check the article and the README enclosed herewith for more details.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Dataset of the publication: Dataset of the publication: Chiral spin-crossover complexes based on an enantiopure Schiff base ligand with three chiral carbon centers. Dalton Trans. 2024, 53, 10637.

<p><span><span><span>Dataset of the publication: Chiral spin-crossover complexes based on an enantiopure Schiff base ligand with three chiral carbon centers<br></span></span></span></p> <p><span><span>&nbsp;A. Regueiro, V. Garc&iacute;a-L&oacute;pez, A. Forment-Aliaga, M. Clemente-Le&oacute;n, <em>Dalton Trans.</em> <strong>2024</strong>, <em>53</em>, 10637.&nbsp;</span> </span></p> <p><span><span>doi: 10.1039/d4dt00924j</span></span></p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Experimental data for: "Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of field limits"

<p>This is the raw experimental data for the paper: "Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of field limits"</p> <p>Now also including code to recreate figures, and data from alignment and multi-slice ptychography reconstructions.</p> <p>The data is in zarr format and can be read with the zarr python library. It also contains metadata in a dictionary.&nbsp;</p>

opencc-by-4.0Sep 2024View details →
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Fig. 2 in Parasitoids of the genus Pholetesor Mason, 1981 (Hymenoptera: Braconidae: Microgastrinae) from the leafminers Lepidoptera, with the description of three new species from India

Fig. 2. Pholetesor camerariae sp. nov., paratype, ♀ (ZDAMU). A. Head, frontal view. B. Mesosoma, dorso-lateral view. C. T1 and T2, dorso-lateral view. D. Metasoma, lateral view. Scale bars: 0.25 mm.

opencc-by-4.0Nov 2020View details →

ScienceDex guides

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

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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

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Your academic CV and NIH biosketch

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