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Dataset results
36 results for “Variability tools”
Variable Misuse tool: Dataset for data augmentation (3)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Variable Misuse tool: Dataset for data augmentation (7)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Variable Misuse tool: Dataset for data augmentation (2)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Figure 10 in Experimental induction of resins as a tool to understand variability in ambers
Figure 10. Agathis and Wollemia resin spectra from FTIR-ATR spectroscopy analysed together: (a) principal component analysis showing PC1 vs. PC2 – open symbols indicate Agathis-derived resins, closed symbols indicate Wollemia-derived resins, and the different coloured treatments are the same as in Figs. 8a and 9a; (b) loadings for PC1; (c) cluster analysis.
Figure 4 in Experimental induction of resins as a tool to understand variability in ambers
Figure 4. Variation in tree sizes seen in the Wollemia nobilis clonal plants available and grown together in Göttingen prior to experimentation (tallest tree 2.4 m in height).
Figure 6 in Experimental induction of resins as a tool to understand variability in ambers
Figure 6. Experimental Wollemia nobilis examples: (a–b) branch treatment in which three upper branches were removed to mimic noncatastrophic damage; (c–d) burn treatment in which each tree was burned on one side creating a burn 6 cm in length along the trunk to mimic a wild fire burning at a low level; (a) day 1 of branch treatment with three cuts (arrowheads); (b) final day of branch treatment (same tree as a with small amounts of viscous resin visible at each cut site); (c) day 1 of the burn treatment with no apparent resin exuded; (d) final day of burn treatment with minimal resin exudation (arrowhead).
Figure 7 in Experimental induction of resins as a tool to understand variability in ambers
Figure 7. Mean FTIR-ATR spectra for (a) Agathis and Wollemia; (b) the four effective Agathis treatments, the dashed lines indicating the area of key differences between the mean spectra; (c) the six effective Wollemia treatments plus the control group.
Figure 1 in Experimental induction of resins as a tool to understand variability in ambers
Figure 1. Agathis australis grown in New Zealand: (a) seed-grown 10-year-old Agathis australis trees at Oratia Plant Nursery before the start of the experiment; (b) map of New Zealand (inset) with dashed rectangle indicating area of interest. Enlarged area shows the natural range (in green) of the endemic Agathis australis in New Zealand, based on Steward and Beveridge (2010); site of experiment at Oratia is arrowed.
Figure 5 in Experimental induction of resins as a tool to understand variability in ambers
Figure 5. Experimental Wollemia nobilis examples: (a–b) cutoff treatment in which the trees were cut at 20 cm above soil level to mimic catastrophic damage; (c–d) insect treatment in which holes were drilled into the top 20 % of the trunks to mimic wood-boring insect attack; (a) day 1 of cutoff treatment (aerial view); (b) final day of cutoff treatment with viscous white resin visible; (c) day 1 of the insect treatment with one drilled hole and initial resin exudation visible (arrowhead); (d) final day of insect treatment in which three drill holes have exuded less viscous white resin (arrowheads).
Figure 9 in Experimental induction of resins as a tool to understand variability in ambers
Figure 9. Multivariate analysis of Wollemia resin spectra using FTIR-ATR spectroscopy: (a) principal component analysis showing PC1 vs. PC2 – 3 indicates the three branch samples that came from different heights on the same tree (tree 3), and 1 indicates the four insect samples that came from different heights on the same tree (tree 1); (b) loadings for PC1; (c) cluster analysis.
Figure 8 in Experimental induction of resins as a tool to understand variability in ambers
Figure 8. Multivariate analysis of Agathis resin spectra using FTIR-ATR spectroscopy: (a) principal component analysis showing PC1 vs. PC2; (b) loadings for PC1; (c) cluster analysis.
Figure 2 in Experimental induction of resins as a tool to understand variability in ambers
Figure 2. Experimental Agathis australis examples: (a–b) cutoff treatment in which the trees were cut at 20 cm above soil level to mimic catastrophic damage; (c–d) insect treatment in which holes were drilled into the top 20 % of the trunks to mimic wood-boring insect attack; (a) day 1 of cutoff treatment; (b) final day of cutoff treatment with viscous white resin visible; (c) day 1 of the insect treatment with one drilled hole visible (arrowhead); (d) final day of insect treatment in which two drill holes have exuded less viscous white resin (arrowheads).
Software Variability Tools: Industrial Survey and Systematic Mapping Study
<p>Software Variability Tools: Industrial Survey and Systematic Mapping Study</p>
Software Variability Tools SMS and Survey: List of References and Tools
<p>Software Variability Tools SMS and Survey: List of References and Tools</p>
Variable Misuse tool: Dataset for data augmentation (6)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Variable Misuse tool: Dataset for data augmentation (4)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
THE SONIFICATION OF GENETIC VARIABILITY AS A COMMUNICATION TOOL
<p>An innovative approach that uses sonification to communicate the comparison of individuals and effectively convey their genetic variability. This study culminated in the development of two distinct sonification methods. The methods adopted were audification (Sonification A) and parameter (or musical) mapping sonifications (Sonification B). </p>
Variable Misuse tool: Dataset for data augmentation
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Variable Misuse tool: Dataset for data augmentation (5)
<p>Dataset used for data augmentation in the training phase of the Variable Misuse tool. It contains some source code files extracted from third-party repositories.</p>
Figure 5 in Analysis of shape variability and life history strategies of Illex argentinus in the northern extreme of species distribution as a tool to differentiate spawning groups
Figure 5. Scatterplot of the relationship of PC1 on body weight separated by group (a), on body weight separated by sex (b), OvWBW (c) and NgWBW (d) for females separated by group.
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.