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共检索到2415条 ,权限内显示50条;
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Data from: The evolution of colour polymorphism in British winter?active Lepidoptera in response to search image use by avian predators
- 负责人:
- DOI:
- doi:10.5061/dryad.s62ks69
- 摘要:
- Phenotypic polymorphism in cryptic species is widespread. This may evolve in response to search image use by predators exerting negative frequency
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Automated taxonomic identification of insects with expert-level accuracy using effective feature transfer from convolutional networks
- 负责人:
- 关键词:
- DOI:
- doi:10.5061/dryad.20ch6p5
- 摘要:
- images or less per category. Specifically, we extract rich representations of intermediate to high-level image features from the CNN architecture VGG16
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: A transgenic quail model that enables dynamic imaging of amniote embryogenesis
- 负责人:
- DOI:
- doi:10.5061/dryad.74bk6
- 摘要:
- entiation, growth control and morphogenesis. However, a reliable amniote model system that is amenable to the rigors of extended, high-resolution imaging and cell tracking ha
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Modeling avian biodiversity using raw, unclassified satellite imagery
- 负责人:
- DOI:
- doi:10.5061/dryad.sk792
- 摘要:
- Landsat scenes were the basis for among-pixel habitat heterogeneity (image texture), and we used the raw imagery to decompose each pixel int
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction"" data-category="" data-cropid="" data-dimen="" data-id="EC4A3E43-967E-4092-BAFC-3E40BBF6159A"> Supporting data for "Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction"
- 负责人:
- 关键词:
- Imaging structured illumination microscopy simtoolbox fluorescence sim super-resolution microscopy bayesian methods live cell imaging
- DOI:
- doi:10.5524/100514
- 摘要:
- , as well as for imaging the dynamics of live cells expressing fluorescent protein constructs. In SIM, one acquires a set of images with shifting illumination patter
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Real-time quantification of damage in structural materials during mechanical testing
- 负责人:
- DOI:
- doi:10.5061/dryad.3s4474q
- 摘要:
- , can consist of tens of thousands of images. This methodology has the potential to reduce the time taken to interpret large material test datasets whilst
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
High-frequency ultrasound array-based imaging system for biomedical applications
- 负责人:
- 关键词:
- Biomedical Engineering high-frequency ultrasound high-frequency ultrasound array-based imaging system high-frequency ultrasound pulsed-wave Doppler high-frequency ultrasound color Doppler
- DOI:
- doi:10.25549/usctheses-c3-562902
- 摘要:
- zebrafish heart and flow directions were clearly identified by the color-coded images.
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
2015 Imageclef Webupv Collection
- 负责人:
- 关键词:
- DOI:
- doi:10.5281/zenodo.1038547
- 摘要:
- ; The development set contains 2,000 images with 5 to 51 textual descriptions
per image (mean: 9.492, median: 8). Please note that the sentences contain a
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
2015 Imageclef Webupv Collection
- 负责人:
- 关键词:
- DOI:
- doi:10.5281/zenodo.1038546
- 摘要:
- ; The development set contains 2,000 images with 5 to 51 textual descriptions
per image (mean: 9.492, median: 8). Please note that the sentences contain a
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Two photon calcium imaging recordings of spontaneous activity from mouse somatosensory\n cortex in wild-type and Fmr1 knock-out mice
- 负责人:
- DOI:
- doi:10.6080/k0x63k3x
- 摘要:
- \u201440). The mice were un-anesthetized, head-fixed, and not engaged in any experimental task. The dataset comprises: 1) the raw TIFF imaging