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423 results for “spatial use”
Data to reproduce the results presented in Lake et al. 2023. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.162332 ("Use of a submersible spectrophotometer probe to fingerprint spatial suspended sediment sources at catchment scale")
<p>This repository contains the absorbance data measured on the water samples collected in all sampling sites, for the three campaigns, as described in Lake et al., 2023. </p> <p>Data consists of:</p> <p>- Absorbance data compensated for measured concentration and compensated for absorbance measured on filtered water </p> <p>- Absorbance data compensated for measured concentration</p> <p>Shown files are the input files for the MixSIAR modelling exercise as described in Lake et al., 2023.</p>
Estimating red fox density using non-invasive genetic sampling and spatial capture–recapture modelling
<p>Data and scripts for our paper:</p> <p>Lindsø, L.K., Dupont, P., Rød-Eriksen, L. <em>et al.</em> Estimating red fox density using non-invasive genetic sampling and spatial capture–recapture modelling. <em>Oecologia</em> <strong>198</strong>, 139–151 (2022). https://doi.org/10.1007/s00442-021-05087-3</p>
FIG. 2. Nonmetric multidimensional scaling calculated with the Bray-Curtis distance metric using a in Spatial Variation of False Map Turtle (Graptemys pseudogeographica) Bacterial Microbiota in the Lower Missouri River, United States
FIG. 2. Nonmetric multidimensional scaling calculated with the Bray-Curtis distance metric using a square root transformation and Wisconsin double-standardization. Location is represented by color, and sex is represented by shape. Stress of fit for the ordination is reported at 0.145. Axis titles represent the two dimensions to which the data have been ordinated.
Fig. 2 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 2. Comparison of sample pretreatment methods for MALDI-MSI analysis. (A) Intensities of ion peaks corresponding to organic acids, sugars, and alkaloids in the three different sections using airbrush, iMLayer or combined methods for matrix application. Data represent the mean ± SE of intensities of ions at m/z 230.9, 381.0, 264.1 and 367.1 (n = 3), respectively. Photographs of DHB matrix material prepared by different methods: (B) Spray by airbrush, (C) Sublimation by iMLayer, (D) Spray after sublimation. Films and crystals observation were recorded under the light microscope (× 40).
Fig. 5 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 5. Distribution of the main coumarins in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 4. Distribution of the main alkaloids in diverse tissue parts in the plant of C. lansium. All the MSI were acquired in positive ion mode. The number of pixels in x and y axis was 243 × 248 for the fruit, and 100 × 70 for the stem and 65 × 37 for the leaf parts. The distributions are displayed as heat maps, with the color code between black (low) and red (high). Images were exported from the Shimadzu Imaging software. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Visualizing the spatial distribution of metabolites in Clausena lansium (Lour.) skeels using matrix-assisted laser desorption/ionization mass spectrometry imaging
Fig. 1. Optical images of different tissue sections of Clausena lansium (Lour.) Skeels plants. (A) Fruit cross section, (B) Part of stem cross section, (C) Leaf cross section (magnification at 40x).
The Use of Immersive 360-degree Video in Improving Spatial Orientation
ClinicalTrials.gov study NCT05894005. IPD Sharing: NO. Countries: 1. Publications: 12.
Can we Use c-SIGHT for Spatial Neglect in Stroke Survivors' Homes?
ClinicalTrials.gov study NCT04752982. IPD Sharing: YES. Countries: 1. Publications: 2.
Assessment of Revascularization in Plantar Foot of Diabetic Patients Pre and Post Angioplasty Using Spatial Frequency Domain Imaging
ClinicalTrials.gov study NCT07097857. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Using spatial capture–recapture to elucidate population processes and space-use in herpetological studies
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Data from: Exploring the interaction of avian frugivory and plant spatial heterogeneity and its effect on seed dispersal kernels using a simulation model
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Data from: Spatial dynamics and mixing of bluefin tuna in the Atlantic Ocean and Mediterranean Sea revealed using next generation sequencing
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Data from: Examining disease prevalence for species of conservation concern using non-invasive spatial capture-recapture techniques
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Data from: Using data from related species to overcome spatial sampling bias and associated limitations in ecological niche modeling
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Data from: Assessing the spatial ecology and resource use of a mobile and endangered species in an urbanized landscape using satellite telemetry and DNA faecal metabarcoding
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Data from: Estimating population density of the white-tailed deer in Finland using non-invasive genetic sampling and spatial capture–recapture
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Data from: Optimizing the trade-off between spatial and genetic sampling efforts in patchy populations: towards a better assessment of functional connectivity using an individual-based sampling scheme
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Using seabird and whale distribution models to estimate spatial consumption of krill to inform fishery management
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Data for: Inferring spatially-varying animal movement characteristics using a hierarchical continuous-time velocity model
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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.