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1,646 results for “plot”
Plot level biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada
<p>Tree mensuration data and biomass component data, collected from destructive sampling of 679 trees (DOI: 10.5281/zenodo.10632743), were scalled-up to the plot level, resulting in 58 black spruce boreal wetland plots within the Boreal Plains and Taiga Plains of Canada. This dataset contains plot level biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada.</p> <p>This dataset has been used to develop a new set of yield curves (i.e., total volume as a function of total stand age) as well as novel total volume-to-biomass conversion models to predict stem wood, stem bark, branch, and foliage biomass of the small black spruce trees. </p> <p>The novel equations are key to modelling treed peatlands in the Canadian Model for Peatlands (CaMP) and thus contribute to improving accuracy in modelled C stocks and flux estimates for Canada’s treed peatlands.</p>
Supplementary plots for "Ephemeris Matching Reveals False Positive Validated and Candidate Planets From the K2 Mission"
<p>Supplementary plots for false positive matches as described in section 3 of the paper.</p>
Files for plotting in the example of TomoATT
<p>Files for plotting in the example of TomoATT</p>
Code, data, and plots for the paper: "Stalling in Space: Attractor Analysis for any Algorithm"
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Soil trenching – are microbial communities alike in experimental peatland plots measuring total and heterotrophic respiration?
<p> </p> <table> <tbody> <tr> <td>Data obtained within a project financed by LIFE Programme of the European Union ‘Demonstration of climate change mitigation potential of nutrients rich organic soils in Baltic States and Finland (LIFE OrgBalt, LIFE18 CCM/LV/001158)</td> </tr> <tr></tr> </tbody> </table>
Supplementary File 12: Tables of direct, indirect and networks estimates and Forests plots of pairwise comparisons for all secondary outcomes
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Sample site coordinates, environmental data, number of copies of target DNA/ul for each sample and limit of detection plot
<p>Human activities in coastal areas are accelerating ecosystem changes at an unprecedented pace, resulting in habitat loss, hydrological modifications, and predatory species declines. Understanding how these changes potentially cascade across marine and freshwater ecosystems requires knowing how mobile euryhaline species link these seemingly-disparate systems. As upper trophic level predators, bull sharks (<i>Carcharhinus leucas</i>) play a crucial role in marine and freshwater ecosystem health. Telemetry studies in Mobile Bay, Alabama suggest that bull sharks extensively use the northern portions of the bay, an estuarine-freshwater interface known as the Mobile-Tensaw Delta. To assess whether bull sharks use freshwater habitats in this region, environmental DNA surveys were conducted during the dry summer and wet winter seasons in 2018. In each season, 5 x<span> 1</span> L water samples were collected at each of 21 sites: five sites in Mobile Bay, six sites in the Mobile-Tensaw Delta, and ten sites throughout the Mobile-Tombigbee and Tensaw-Alabama Rivers. Water samples were vacuum-filtered, DNA extractions were performed on the particulate, and DNA extracts were analyzed with Droplet Digital™ Polymerase Chain Reaction using species-specific primers and an internal probe to amplify a 237-base pair fragment of the mitochondrial NADH dehydrogenase subunit 2 gene in bull sharks. One water sample collected during the summer in the Alabama River met the criteria for a positive detection, thereby confirming the presence of bull shark DNA. While preliminary, this finding suggests that bull sharks use less urbanized, riverine habitats up to 120 km upriver during Alabama's dry summer season.</p>
additional plot for double-blind review
<p>additional plot for double-blind review</p>
Data Sets and plotting scripts supporting Kirsten et al. 2022, DOI: 10.1038/s41586-021-04354-w
<p>Data Sets and plotting scripts supporting Kirsten et al. 2022, DOI: 10.1038/s41586-021-04354-w</p>
Plotting codes for the impacts of ODS and CO2 on Arctic amplification
<p>Plotting codes for the impacts of ODS and CO2 on Arctic amplification</p>
Sampling plot × species matrix from: Climate-driven elevational variation in range sizes of vascular plants in the central Himalayas: a supporting case for Rapoport's rule
<p>A fundamental yet controversial topic in biogeography is how and why species range sizes vary along spatial gradients. To advance our understanding of these questions and to provide insights into biological conservation, we assessed elevational variations in the range sizes of vascular plants with different life forms and biogeographical affinities and explored the main drivers underlying these variations in the longest valley in China's Himalayas, the Gyirong Valley. Elevational range sizes of vascular plants were documented in 96 sampling plots along an elevational gradient ranging from 1,800 to 5,400 m above sea level. We assessed the elevational variations in range size by averaging the range sizes of all recorded species within each sampling plot. We then related the range size to climate, disturbance, and the mid-domain effect, and explored the relative importance of these factors in explaining the range size variations using the Random Forest model. A total of 545 vascular plants were recorded in the sampling plots along the elevational gradient. Of these, 158, 387, 337, and 112 were woody, herbaceous, temperate, and tropical species, respectively. The range size of each group of vascular plants exhibited uniform increasing trends along the elevational gradient, which was consistent with the prediction of Rapoport's rule. Climate was the main driver of the increasing trends of vascular plant range sizes in the Gyirong Valley. The climate variability hypothesis and mean climate condition hypothesis could both explain the elevation-range size relationships. Our results reinforce the previous notion that Rapoport's rule applies to regions where the influence of climate is the most pronounced, and call for close attention to the impact of climate change to prevent species range contraction and even extinction due to global warming. </p>
High-quality video records from forest sample plots located in Artvin, NE Turkey
<p>Natural forest plots were scanned using a handheld mobile laser scanning device, GeoSLAM ZEB-HORIZON, in Artvin (Northeastern Turkey). The videos uploaded here were recorded by the device's add-on camera, ZEB Cam. The visual interpretation of the 4K videos may be useful for understanding different stand characteristics.</p> <p>In this project, a total of 39 plots were modeled based on 3D point cloud data collected by ZEB-HORIZON. Their stand variables (the number of trees, mean diameter, dominant height, basal area, and stand volume) were calculated successfully. </p>
Plotting receiver operating characteristic and precision-recall curves from presence and background data
<p> The receiver operating characteristic (ROC) and precision-recall (PR) plots have been widely used to evaluate the performances of species distribution models. Plotting the ROC/PR curves requires a traditional test set with both presence and absence data (namely PA approach), but species absence data are usually not available in reality. Plotting the ROC/PR curves from presence-only data while treating background data as pseudo absence data (namely PO approach) may provide misleading results. In this study we propose a new approach to calibrate the ROC/PR curves from presence and background data with user-provided information on a constant <i>c</i>, namely PB approach. Here <i>c</i> defines the probability that species occurrence is detected (labeled), and an estimate of <i>c</i> can also be derived from the PB-based ROC/PR plots given that a model with good ability of discrimination is available. We used five virtual species and a real aerial photography to test the effectiveness of the proposed PB-based ROC/PR plots. Different models (or classifiers) were trained from presence and background data with various samples sizes. The ROC/PR curves plotted by PA approach were used to benchmark the curves plotted by PO and PB approaches. Experimental results show that the curves and areas under curves by PB approach are more similar to that by PA approach as compared with PO approach. The PB-based ROC/PR plots also provide highly accurate estimations of <i>c</i> in our experiment. We conclude that the proposed PB-based ROC/PR plots can provide valuable complements to the existing model assessment methods, and they also provide an additional way to estimate the constant <i>c</i> (or species prevalence) from presence and background data.</p>
Interaural cues for envelopment: plots for rectangular source arrangements
<p>Supplementary plots of listening area regarding perceived envelopment in loudspeaker systems.</p>
Fig. 3. The Bayesian topology plotted onto a in Phylogeny of the Hawkmoth Tribe Ambulycini (Lepidoptera: Sphingidae): Mitogenomes from Museum Specimens Resolve Major Relationships
Fig. 3. The Bayesian topology plotted onto a map of the Earth.
Figure 2 from: Huntenburg J, Abraham A, Loula J, Liem F, Dadi K, Varoquaux G (2017) Loading and plotting of cortical surface representations in Nilearn. Research Ideas and Outcomes 3: e12342. https://doi.org/10.3897/rio.3.e12342
Figure 2 - Seed-based functional connectivity example. a Seed region in the posterior cingulate cortex (PCC). b Pearson product-moment correlation coefficient from the seed region time series to all other nodes. c The same map as in b, thresholded and plotted with a different colour scheme. d The same map as in b, plotted without sulcal depth information for shading.
Figure 1 from: Huntenburg J, Abraham A, Loula J, Liem F, Dadi K, Varoquaux G (2017) Loading and plotting of cortical surface representations in Nilearn. Research Ideas and Outcomes 3: e12342. https://doi.org/10.3897/rio.3.e12342
Figure 1 - Destrieux atlas plotted on the fsaverage5 surface template using the plot_surf_roi function. a Convoluted pial surface geometry of the left hemisphere. b Inflated pial surface geometry of the left hemisphere.
Python codes used to plot figures for our submitted paper
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MATLAB codes to generate the plots
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Data for producing two circle plots showing agreement in qualitative statements from several informants
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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.