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539 results for “disentangling”
Disentangling the taxonomic variations within the high-Andean complex Gomphrena meyeniana (Gomphrenoideae, Amaranthaceae)
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Disentangling effects of climate and land use on biodiversity and ecosystem services – a multi-scale experimental design
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Disentangling sources of gene tree discordance in phylogenomic datasets: testing ancient hybridizations in Amaranthaceae s.l.
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Data from: Disentangling the aging network of a termite queen
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Data from: Disentangling the drivers of diversification in an imperiled group of freshwater fishes (Cyprinodontiformes: Goodeidae)
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PHYS (2 of 4)
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Data from: Incorporating implicit information to disentangle the impacts of hydropower dams and climate change on basin-scale fish habitat distribution
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PI (4 of 4)
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Data from: Disentangling serial chloroplast captures in willows
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Data from: Disentangling elevational richness: a multi-scale hierarchical Bayesian occupancy model of Colorado ant communities
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Disentangling drivers of spatial autocorrelation in species distribution models
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Data from: Why are plant communities stable? Disentangling the role of dominance, asynchrony and averaging effect following realistic species loss scenario
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Disentangling the effects of methanogen community and environment on peatland greenhouse gas production by a reciprocal transplant experiment
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Data from: Drivers of native and non-native freshwater fish richness across North America: Disentangling the roles of environmental, historical and anthropogenic factors
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Simulations disentangling temperature vs. VPD effects on tropical forest GPP
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Disentangling the assembly mechanisms of ant cuticular bacterial communities of two Amazonian ant species sharing a common arboreal nest
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Data from: Disentangling direct from indirect effects of habitat disturbance on multiple components of biodiversity
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Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2
<p>The compressed file contains ModelE simulation outputs for experiments used in "Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2". Included are simulations outputs specified in Table 1 of the paper:</p> <p>[CO<sub>2</sub>]_only: 2x[CO<sub>2</sub>]; natural vegetation with default LAI and conductance effects “off”</p> <p>[CO<sub>2</sub>]+Con: 2x[CO<sub>2</sub>]; natural vegetation with default LAI and conductance effects “on”</p> <p>[CO<sub>2</sub>]+LAI: 2x[CO<sub>2</sub>]; natural vegetation with enhanced LAI and conductance effects “off”</p> <p>[CO<sub>2</sub>]+LAI+Con: 2x[CO<sub>2</sub>]; natural vegetation with enhanced LAI and conductance effects “on”</p>
Downsampled Disentanglement Datasets - Falcor3D and Isaac3D
<p><strong>New disentanglement datasets</strong></p> <p>This data repository contains the <em>Falcor3D</em> and <em>Isaac3D</em> datasets for disentanglement learning, where the image resolution is 128x128.</p> <p><strong><em>Falcor3D</em></strong></p> <p>The Falcor3D dataset consists of <code>233,280</code> images based on the 3D scene of a living room. The meta code corresponds to all possible combinations of <code>7</code> factors of variation:</p> <ul> <li>lighting_intensity (5)</li> <li>lighting_x-dir (6)</li> <li>lighting_y-dir (6)</li> <li>lighting_z-dir (6)</li> <li>camera_x-pos (6)</li> <li>camera_y-pos (6)</li> <li>camera_z-pos (6)</li> </ul> <p>Note that the number <code>m</code> behind each factor represents that the factor has <code>m</code> possible values, uniformly sampled in the normalized range of variations [0, 1].</p> <p>Each image has as filename <em><code>padded_index.png</code></em> where</p> <pre><code>index = lighting_intensity * 46656 + lighting_x-dir * 7776 + lighting_y-dir * 1296 + lighting_z-dir * 216 + camera_x-pos * 36 + camera_y-pos * 6 + camera_z-pos </code></pre> <p>padded_index = index padded with zeros such that it has 6 digits.</p> <p><em><strong>Isaac3D</strong></em></p> <p>The Isaac3D dataset consists of <code>737,280</code> images, based on the 3D scene of a kitchen. The meta code corresponds to all possible combinations of <code>9</code> factors of variation:</p> <ul> <li>object_shape (3)</li> <li>object_scale (4)</li> <li>camera_height (4)</li> <li>robot_x-movement (8)</li> <li>robot_y-movement (5)</li> <li>lighting_intensity (4)</li> <li>lighting_y-dir (6)</li> <li>object_color (4)</li> <li>wall_color (4)</li> </ul> <p>Similarly, the number <code>m</code> behind each factor represents that the factor has <code>m</code> possible values, uniformly sampled in the normalized range of variations [0, 1].</p> <p>Each image has as filename <em><code>padded_index.png</code></em> where</p> <pre><code>index = object_shape * 245760 + object_scale * 30720 + camera_height * 6144 + robot_x-movement * 1536 + robot_y-movement * 384 + lighting_intensity * 96 + lighting_y-dir * 16 + object_color * 4 + wall color </code></pre> <p>padded_index = index padded with zeros such that it has 6 digits.</p> <p> </p>
Variational Interaction Information Maximization for Cross-domain Disentanglement
<p>Cars dataset, VGG features of Sketchy dataset, and pretrained model parameters for all datasets covered in the paper.</p>
ScienceDex guides
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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.