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Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 2. Data collection methods of the studies (Note: A study may involve more than one method.)
<p>Figure 2 shows the data collection methods applied in the studies. Surveys were used in most of the selected cases (94%), followed by interviews (38%) and experiments (34%). Apart from these approaches, observation (12%), field materials (8%), video recordings (6%) and discussion threads (2%) were also used in some of the studies. Thirty of the cases involved the use of more than one method, mostly combining a survey and another one or more method. These suggest that most of the studies involved quantitative data at least in part.</p>
New Ideas for Brain Modelling 4-Figure 2. One level of linking in a temporal model defines a particular ensemble mix.
<p> The image processing of section 0 has already been tried in de Campos, Babu and Varma (2009), where they tested the full dataset. Their results were better overall, with maybe 55% accuracy and over a larger dataset. As stated however, the tests here are only initial results and it would be expected that some improvement would be possible, especially if the images can be scaled. The recently found paper Kowalski (1972) looks significant and the general architecture (Greer, 2016, figure 2, for example)) could have analogies with bi-directional searches in the and-or with theorem-proving graphs architecture of that paper. As suggested, and-or could work from goals to axioms (the neural network in the general model and theorem-proving from axioms to goals (the concept trees in the general model). The paper Sukanya and Gayathri (2013) models at a higher behaviour level, but it is interesting that the behaviours are considered to be unique (time or sequence-based) sets of events and these event patterns are then clustered, rather than each individual event. The idea of using unique sets of nodes to cluster with has also been used for the symbolic neural network (Greer, 2011).</p>
72 white matter bundles segmented by 7 different methods in one HCP subject
<p>This dataset contains segmentations of 72 white matter tracts from 7 different automatic segmentation methods for one subject (623844) from the Human Connectome Project (HCP) young adult dataset (https://www.humanconnectome.org/study/hcp-young-adult). Segmentations are given for the original HCP data ("HCP Quality") and for a downsampled version of the HCP data with reduced resolution (2.5mm isotrop) and less gradients (32x b=1000mm/s^2) ("Clinical Quality").</p> <p>The data is part of the following project: https://github.com/MIC-DKFZ/TractSeg/<br> If you use the data please cite the paper mentioned on the project page.</p> <p>Each file is 4D nifti image. The 4th dimension determines the bundle:</p> <p>1: AF_left (Arcuate fascicle)<br> 2: AF_right<br> 3: ATR_left (Anterior Thalamic Radiation)<br> 4: ATR_right<br> 5: CA (Commissure Anterior)<br> 6: CC_1 (Rostrum)<br> 7: CC_2 (Genu)<br> 8: CC_3 (Rostral body (Premotor))<br> 9: CC_4 (Anterior midbody (Primary Motor))<br> 10: CC_5 (Posterior midbody (Primary Somatosensory))<br> 11: CC_6 (Isthmus)<br> 12: CC_7 (Splenium)<br> 13: CG_left (Cingulum left)<br> 14: CG_right <br> 15: CST_left (Corticospinal tract<br> 16: CST_right <br> 17: MLF_left (Middle longitudinal fascicle)<br> 18: MLF_right<br> 19: FPT_left (Fronto-pontine tract)<br> 20: FPT_right <br> 21: FX_left (Fornix)<br> 22: FX_right<br> 23: ICP_left (Inferior cerebellar peduncle)<br> 24: ICP_right <br> 25: IFO_left (Inferior occipito-frontal fascicle) <br> 26: IFO_right<br> 27: ILF_left (Inferior longitudinal fascicle) <br> 28: ILF_right <br> 29: MCP (Middle cerebellar peduncle)<br> 30: OR_left (Optic radiation) <br> 31: OR_right<br> 32: POPT_left (Parieto‐occipital pontine)<br> 33: POPT_right <br> 34: SCP_left (Superior cerebellar peduncle)<br> 35: SCP_right <br> 36: SLF_I_left (Superior longitudinal fascicle I)<br> 37: SLF_I_right <br> 38: SLF_II_left (Superior longitudinal fascicle II)<br> 39: SLF_II_right<br> 40: SLF_III_left (Superior longitudinal fascicle III)<br> 41: SLF_III_right <br> 42: STR_left (Superior Thalamic Radiation)<br> 43: STR_right <br> 44: UF_left (Uncinate fascicle) <br> 45: UF_right <br> 46: CC (Corpus Callosum - all)<br> 47: T_PREF_left (Thalamo-prefrontal)<br> 48: T_PREF_right <br> 49: T_PREM_left (Thalamo-premotor)<br> 50: T_PREM_right <br> 51: T_PREC_left (Thalamo-precentral)<br> 52: T_PREC_right <br> 53: T_POSTC_left (Thalamo-postcentral)<br> 54: T_POSTC_right <br> 55: T_PAR_left (Thalamo-parietal)<br> 56: T_PAR_right <br> 57: T_OCC_left (Thalamo-occipital)<br> 58: T_OCC_right <br> 59: ST_FO_left (Striato-fronto-orbital)<br> 60: ST_FO_right <br> 61: ST_PREF_left (Striato-prefrontal)<br> 62: ST_PREF_right <br> 63: ST_PREM_left (Striato-premotor)<br> 64: ST_PREM_right <br> 65: ST_PREC_left (Striato-precentral)<br> 66: ST_PREC_right <br> 67: ST_POSTC_left (Striato-postcentral)<br> 68: ST_POSTC_right<br> 69: ST_PAR_left (Striato-parietal)<br> 70: ST_PAR_right <br> 71: ST_OCC_left (Striato-occipital)<br> 72: ST_OCC_right</p>
Design and cloning of a pair of split-GFP constructs to examine one of the split-sites for SCN1A
<p>Design and cloning of split-GFP constructs to investigate a potential split-sites for SCN1A fragments complementation.</p>
Fig. 3 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 3. Siphonophora setaepromissa sp. nov., non-type specimen. A. Head in lateral view. B. Head in dorsal view. C. Pleurite in lateral view, anterior to left. D. Head of male in lateral view. E. Head of female in ventral view. F. Head of female in lateral view with left antenna missing. Scale bars: A–C = 200 µm; D–F = 10 µm.
Fig. 8. A. Siphonophora fuhrmanni Carl, 1914 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 8. A. Siphonophora fuhrmanni Carl, 1914, type specimen, habitus, body length approximately 30 mm. B. Siphonophora mjoebergi Verhoeff, 1924, non-type specimen, habitus, body length approximately 15 mm. C. Siphonophora setaepromissa sp. nov., paratype, ozopore showing ring of setae, scale bar = 0.01 mm.
Fig. 7 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 7. Siphonophora tuberculata sp. nov., paratype. A. Head and anterior rings, body width approximately 0.5 mm. B. Holotype, head in lateral view. C. Holotype, mid-body pleurites in lateral view. D. Gonopods in situ. E. Head in ventro-lateral view with mandible visible. Scale bars: B–C = 200 µm; D–E = 100 µm.
Fig. 2 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 2. Siphonophora hebetunguis (Attems, 1951), type specimen (NHMW 2295). A. Head and anterior rings, body width approximately 0.8 mm. B. Head in dorsal view. C. Head in lateral view. D. Male gonopods. E. Ventral margin of pleurite in lateral view, anterior to left. F. Claw. G. Mid-body limbus of male. H. Mid-body pleurite hind edge from inside (male). Scale bars: A = 800 µm; B–E = 200 µm; F–H = 10 µm.
Fig. 1 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 1. Relationship between body width (mm) against the total number of tergites with legs for new species of Siphonophora Brandt, 1837 and S. hebetunguis (Attems, 1951).
Fig. 5 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 5. Siphonophora setaepromissa sp. nov., non-type specimens. A. Mid-body rings of male with long setae, body width approximately 1 mm. B. Midbody rings of male with short setae, body width approximately 1 mm. C. SEM showing long setae in male. D. Limbus of female showing anchor-shaped tubercles. Scale bars: C = 100 µm; D = 10 µm.
Fig. 6 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 6. Siphonophora setaepromissa sp. nov., non-type specimen. A. Male gonopods in situ. B. Male gonopods in situ. C. Claws in ventral view. D. Claw in anterior view. Scale bars: A–B = 100 µm; C–D = 10 µm.
Fig. 4 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 4. Siphonophora setaepromissa sp. nov., relationship between body width and setae length in males and females.
Fig. 9 in Siphonophoridae from Brazilian Amazonia. Part 2 - Two new treeclimbing species of the genus Siphonophora, including one showing pilosity polymorphism (Diplopoda, Siphonophorida)
Fig. 9. Claws and accessory claws in the three species of Siphonophora Brandt, 1837 studied here. A. Siphonophora hebetunguis (Attems, 1951). B. Siphonophora setaepromissa sp. nov. C. Siphonophora tuberculata sp. nov. Not to scale.
Guidelines for Data Management Plan implementation of One Health EJP projects: Webinar held on the 19th December 2018
<p>Webinar held on the 19th December 2018 to introduce Data Management Plan to scientists involved in the research and integrative projects of One Health European Joint Program.</p>
One-dimensional hydrodynamic solution data of wavelet-based adaptive finite volume and discontinuous Galerkin shallow water solvers
<p>Raw data for a series of idealised, one-dimensional hydrodynamic test cases:</p> <ul> <li>dambreakwet (SWASHES 4.1.1)</li> <li>dambreakdry (SWASHES 4.1.2)</li> <li>dambreakmanning (SWASHES 4.1.3)</li> <li>dambreakupslope, dambreakdownslope (<a href="http://doi.org/10.1061/(ASCE)HY.1943-7900.0000494">Kesserwani and Liang 2011</a>)</li> <li>dambreakonehump (<a href="https://doi.org/10.1080/19942060.2011.11015393">Ozmen-Cagatay and Kocaman 2011</a>)</li> <li>lakeatrest (<a href="https://doi.org/10.29007/vm3q">Kesserwani et al. 2018</a>)</li> <li>parabolicbowlswashes (SWASHES 4.2.1)</li> <li>parabolicbowlliangmarche (<a href="https://doi.org/10.1016/j.advwatres.2009.02.010">Liang and Marche 2009</a>)</li> <li>steadysubcritical (SWASHES 3.1.3)</li> <li>steadysupercritical (<a href="https://doi.org/10.2166/hydro.2015.039">Haleem et al. 2015</a>)</li> <li>steadytranscriticalshockless (SWASHES 4.1.4)</li> <li>steadytranscriticalshock (SWASHES 4.1.5) </li> </ul> <p>SWASHES refers to <a href="https://doi.org/10.1002/fld.3741">Delestre et al. 2013</a> </p>
PLATE XIV Ornithomius altus, Lambe. Fig. l. Posterior dorsal vertebra, viewed from the left, natural size. Page 50 Fig. 2. Caudal vertebral., superior view, natural size. Page 52. Fig. The same, inferior view. Fig. 4. The same, left lateral view. Fig. The saule, posterior view. Fig. G. Distal end of iuetzttarszil III. of left pes, viewed from the front; natural size. Page 50. Fig. 7. The same, posterior view. Fig. ö. Terminal phalanx of pes, side view, natural size. Page 50. Fig. Ü. The same, posterior view. Fig. lo. 'Terminal phalanx of manus, side view; natural size. Page Õf. Fig. ll. The same, posterior view. Fig. 12. - Interior tooth, provisionally associated with O. altus, side view, natural size. Page 53. Fig. 13. Posterior view of the saure, showing the minute deııticulııtioııs on one of the two posterior gariugu, neural spine s, pim-zygapopliysis É, postzygapophysis, n, neural arch, J, diapophysis, _/, facet for chevron hone L', neural canal, c, posterior articular' face of ccntruin. in New genera and species from the Belly River Series (mid-Cretaceous)
PLATE XIV Ornithomius altus, Lambe. Fig. l. Posterior dorsal vertebra, viewed from the left, natural size. Page 50 Fig. 2. Caudal vertebral., superior view, natural size. Page 52. Fig. The same, inferior view. Fig. 4. The same, left lateral view. Fig. The saule, posterior view. Fig. G. Distal end of iuetzttarszil III. of left pes, viewed from the front; natural size. Page 50. Fig. 7. The same, posterior view. Fig. ö. Terminal phalanx of pes, side view, natural size. Page 50. Fig. Ü. The same, posterior view. Fig. lo. 'Terminal phalanx of manus, side view; natural size. Page Õf. Fig. ll. The same, posterior view. Fig. 12. - Interior tooth, provisionally associated with O. altus, side view, natural size. Page 53. Fig. 13. Posterior view of the saure, showing the minute deııticulııtioııs on one of the two posterior gariugu, neural spine s, pim-zygapopliysis É, postzygapophysis, n, neural arch, J, diapophysis, _/, facet for chevron hone L', neural canal, c, posterior articular' face of ccntruin.
FIu.'2l. —A, front \' ie \\' of right femur of Trachodon selwyni, from Red Deer river B, front _ view of _ right femnr of Iguanodon 1mantelli, from the \Veahlen of England One-sixteenth naturalsize. ¡ahead ggreat trochantel' m, third trochanter; c. inner condyle. e ' ~ in New genera and species from the Belly River Series (mid-Cretaceous)
FIu.'2l. —A, front \' ie \\' of right femur of Trachodon selwyni, from Red Deer river B, front _ view of _ right femnr of Iguanodon 1mantelli, from the \Veahlen of England One-sixteenth naturalsize. ¡ahead ggreat trochantel' m, third trochanter; c. inner condyle. e ' ~
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3.
Pelvic arcade and vertebral structure of the second chief specimen of Tyrannosaurus rex, Amer. Mus. 5027, discovered in 1908. An orthogonal projection executed on a very large scale and reproduced one-twelfth natural size. C 1-C 10 cervical series, D 1-D 13 dorsal or thoracic series, S 1-S 5 sacral series, Cd 1- Cd 53 caudal series. The caudals actually preserved are shaded; those drawn in outline are conjectural and restored. The total number of caudals is conjectural. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Pelvic arcade and vertebral structure of the second chief specimen of Tyrannosaurus rex, Amer. Mus. 5027, discovered in 1908. An orthogonal projection executed on a very large scale and reproduced one-twelfth natural size. C 1-C 10 cervical series, D 1-D 13 dorsal or thoracic series, S 1-S 5 sacral series, Cd 1- Cd 53 caudal series. The caudals actually preserved are shaded; those drawn in outline are conjectural and restored. The total number of caudals is conjectural.
Raw data set: One-Step Fabrication of GeSn Branched Nanowires
<p>This is the raw data set for the publication titled " One-Step Fabrication of GeSn Branched Nanowires" in the journal Chemistry of Materials (<em>Chem. Mater.</em>201931114016-4024). Below is the abstract of the publicaiton.</p> <p>Abstract: We report for the first time the self-catalysed, single step growth of branched GeSn nanostructures by a catalytic vapour-liquid-solid (VLS) mechanism. These typical GeSn nanostructures consist of <111> oriented Sn rich (~8 at. %) GeSn “branches” grown epitaxially on GeSn “trunks”, with a Sn content of ~ 4 at. %. The trunks are seeded from Au<sub>0.80</sub>Ag<sub>0.20</sub> nanoparticles followed by the catalytic growth of secondary branches (diameter ~ 50 nm) from the excess of Sn on the sidewalls of the trunks, as determined by high resolution electron microscopy and energy dispersive X-ray (EDX) analysis. The nanowires, with <111> directed GeSn branches oriented at ~ 70 ° to the trunks, have no apparent defects or change in crystal structure at the trunk-branch interface; structural quality is retained at the interface with epitaxial crystallographic relation. Electrochemical performance of these highly ordered GeSn nanostructures were explored as a potential anode material for Li-ion batteries, due to their high surface to volume ratio and increased charge carrier pathways. The unique structure of branched nanowires led to high specific capacities comparable to, or greater than, conventional Ge nanowire anode materials and Ge<sub>1-<em>x</em>­</sub>Sn<em><sub>x</sub></em><sub>­</sub> nanocrystals.We report for the first time the self-catalysed, single step growth of branched GeSn nanostructures by a catalytic vapour-liquid-solid (VLS) mechanism. These typical GeSn nanostructures consist of <111> oriented Sn rich (~8 at. %) GeSn “branches” grown epitaxially on GeSn “trunks”, with a Sn content of ~ 4 at. %. The trunks are seeded from Au<sub>0.80</sub>Ag<sub>0.20</sub> nanoparticles followed by the catalytic growth of secondary branches (diameter ~ 50 nm) from the excess of Sn on the sidewalls of the trunks, as determined by high resolution electron microscopy and energy dispersive X-ray (EDX) analysis. The nanowires, with <111> directed GeSn branches oriented at ~ 70 ° to the trunks, have no apparent defects or change in crystal structure at the trunk-branch interface; structural quality is retained at the interface with epitaxial crystallographic relation. Electrochemical performance of these highly ordered GeSn nanostructures were explored as a potential anode material for Li-ion batteries, due to their high surface to volume ratio and increased charge carrier pathways. The unique structure of branched nanowires led to high specific capacities comparable to, or greater than, conventional Ge nanowire anode materials and Ge<sub>1-<em>x</em>­</sub>Sn<em><sub>x</sub></em><sub>­</sub> nanocrystals.</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.