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19 results for “spatial preference”

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zenodo40/100

Preference and familiarity mediate spatial responses of a large herbivore to experimental manipulation of resource availability: datasets

<p>Publicly available dataset for:</p> <p>N. Ranc, P.R. Moorcroft, K.W. Hansen, F. Ossi, T. Sforna, E. Ferraro, A. Brugnoli &amp; F. Cagnacci. 2020. Preference and familiarity mediate spatial responses of a large herbivore to experimental manipulation of resource availability. Scientific Reports. https://doi.org/10.1038/s41598-020-68046-7</p>

opencc-by-4.0Jun 2020View details →
zenodo40/100

FIG. 7 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 7. — Dendrogram of floristic similarity of the bryophyte flora of mangroves on the Northern and Southeastern coast of Brazil.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 5. — A in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 5. — A, mean richness; B, density of bryophytes in the sampled mangroves per light tolerance guilds; C, interaction plot between sampled zones and light tolerance guilds on mean richness of bryophytes; D, interaction plot between sampled zones and light tolerance guilds on mean density of bryophytes.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 4 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 4. — Violin plot with included boxplot: A, species richness; B, species density. Alpha-diversity indices: C, Shannon Index (H'); D, Pielou's Evenness (J').

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 3 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 3. — Accumulation curves based on the abundance of individuals in the fringe and inland zones of the mangroves of Salvaterra, Pará, Brazil: A, species richness (q = 0); B, Shannon diversity (q = 1). The fringe zone is shown in red color and the inland zone in blue color. Continuous line represents interpolation and dotted line represents extrapolation.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 2 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 2. — Mangroves on the east coast of the municipality of Salvaterra, Marajó Island, Pará: A, B, mangrove in inland zone; C, D, fringe zone.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 1 in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 1. — Location map of collection points in Marajó Island, Pará, Brazilian Amazon:A, localization of Marajó Island in Pará, Brazil, South America (red rectangle); B, localization of Salvaterra in Marajó Island; C, localization of sampling points on the east coast of the Salvaterra, with 1 km between the fringe zone and the inland zone in each area (map prepared by P.W.P. Gomes).

opencc-zeroNov 2023View details →
dryad36/100

Data from: Floral spatial morphological characteristics preferences facilitate mating and predation in flower-visiting spiders

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publicOct 2025View details →
dryad32/100

Spatial patterns, availability and cultural preferences for edible plants in southern Africa

<p>Aim<br> We investigated whether cross-cultural food plant selection in southern Africa is best explained by language ancestry, floristic environment or subsistence strategy.<br> Location<br> The flora of southern Africa region.<br> Taxa<br> All 1740 edible plant taxa of southern Africa, representing 711 genera in 156 families.<br> Methods<br> Distribution data of plants were overlapped in ArcMap with 19 language maps, eight biomes and all taxa with nutritional data. Six correlations were estimated between five pair-wise distance matrices (language ancestry, geographical proximity, floristic and edible environments and utilised species) with Mantel tests using the 'vegan' package in R. Regression analyses were used to identify floristic and cultural preferences in food plant selection.<br> Results<br> Spatial autocorrelation did not influence the selection of edible plants by the 19 language groups of southern Africa (r = -0.078). The floristic and edible environments had a strong correlation (r = 0.9743) while the distance matrices of the edible and actually utilised plants had a low correlation for 13 of the language groups (r = 0.2174). Regression analyses between the floristic and edible environments for the FSA region and three languages, representing hunter-gatherers (Ju│'hoan), pastoralists (Khoekhoe) and agrarians (Venda) were all significant (p &lt;0.001) with high R2 values (respectively 0.6181, 0.7702, 0.6654 and 0.7900), as were the relationship (p &lt;0.001) between what is edible and what was actually utilised. Surprisingly, the Apocynaceae had a much higher residual value than globally important food plant families. Vitamin C of fruits seems to have higher levels along the coastal regions, and carbohydrates in underground storage organs have higher levels in the summer-arid western region.<br> Main conclusions<br> There is an apparent preference for certain food plant families in southern Africa. This selection appears to be driven by subsistence strategy, based on the categories of plants preferred by the three representative language groups.</p>

opencc-zeroSep 2020View details →
dryad32/100

Micro-scale spatial preference and temporal cyclicity linked to foraging in harbour porpoises

<p><span>Habitat heterogeneity is a crucial driver for species distribution across scales</span><span>. Harbour porpoise <em>Phocoena phocoena</em> basin-wide distribution is linked to prey availability, and small-scale (kilometres to tens of kilometres) differences in distribution are prevalent. However, information on porpoise distribution and foraging-behaviour variations on a micro-scale (hundred meters to kilometres) is limited. To monitor harbour porpoise distribution and foraging activity on a micro-scale we deployed passive acoustic dataloggers, logging porpoise acoustic activity at six sites in a small, high porpoise-density area in southern Sweden. Data were collected for almost a year, giving detailed time series on porpoise activity. The time series were analysed using dynamic time warping to compare activity patterns between sites.</span><span> La</span><span>rge </span><span>differences were found between sites separated by only a few hundred meters, indicating micro-scale spatial preference. Spectral analysis for temporal cyclicity in activity revealed a dominant peak for 24-hour cycles with higher activity during the night for all sites. All sites also had a second peak for 29.5 days, linked to the lunar cycle with higher activity during the full moon. Activity was overall highest during autumn and winter (September–December). Spatial and temporal patterns were linked to foraging, showing a positive correlation between porpoise presence and the percent of time present with detected foraging. The study demonstrates that harbour porpoise spatial distribution on a micro-scale should be considered in e.g. behavioural, management, and conservation studies and actions. In addition, we show that </span><span>time series statistical methodology, such as dynamic time warping and spectral analysis, are informative and appropriate for analysis of acoustic temporal data. </span></p>

opencc-zeroMar 2023View details →
dryad32/100

Micro-scale spatial preference and temporal cyclicity linked to foraging in harbour porpoises

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publicMar 2023View details →
dryad32/100

Spatial patterns, availability and cultural preferences for edible plants in southern Africa

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publicAug 2020View details →
dryad28/100

Data from: New quantitative approaches reveal the spatial preference of nuclear compartments in mammalian fibroblasts

The nuclei of higher eukaryotic cells display compartmentalization and certain nuclear compartments have been shown to follow a degree of spatial organization. To date, the study of nuclear organization has often involved simple quantitative procedures that struggle with both the irregularity of the nuclear boundary and the problem of handling replicate images. Such studies typically focus on inter-object distance, rather than spatial location within the nucleus. The concern of this paper is the spatial preference of nuclear compartments, for which we have developed statistical tools to quantitatively study and explore nuclear organization. These tools combine replicate images to generate 'aggregate maps' which represent the spatial preferences of nuclear compartments. We present two examples of different compartments in mammalian fibroblasts (WI-38 and MRC-5) that demonstrate new knowledge of spatial preference within the cell nucleus. Specifically, the spatial preference of RNA polymerase II is preserved across normal and immortalized cells, whereas PML nuclear bodies exhibit a change in spatial preference from avoiding the centre in normal cells to exhibiting a preference for the centre in immortalized cells. In addition, we show that SC35 splicing speckles are excluded from the nuclear boundary and localize throughout the nucleoplasm and in the interchromatin space in non-transformed WI-38 cells. This new methodology is thus able to reveal the effect of large-scale perturbation on spatial architecture and preferences that would not be obvious from single cell imaging.

opencc-zeroDec 2014View details →
zenodo28/100

FIG. 6. — A in Spatial Distribution and Substrate Preferences of Bryophyte Species in Mangrove Ecosystems of the East Coast of Marajó Island, Brazil

FIG. 6. — A, mean richness; B, density of bryophytes in the sampled mangroves per substrate; C, interaction plot between sampled zones and substrate on mean richness of bryophytes; D, interaction plot between sampled zones and substrate on mean density of bryophytes.

opencc-zeroNov 2023View details →
dryad28/100

Age-specific habitat preference, carrying capacity, and landscape structure determine the response of population spatial variability to fishing-driven age truncation

<p>1. Understanding the mechanisms underlying spatial variability of exploited fish is critical for the sustainable management of fish stocks. Empirical studies suggest that size-selective fishing can elevate fish population spatial variability (i.e., more heterogeneous distribution) through age truncation, making the population less resilient to changing environment. However, species differ in how their spatial variability respond to age truncation and the underlying mechanisms remain unclear.</p> <p>2. We hypothesize that age-specific habitat preference, together with environmental carrying capacity and landscape structure, determines the response of population spatial variability to fishing-induced age truncation. To test these hypotheses, we design an individual-based model of an age-structured fish population on a two-dimensional landscape under size-selective fishing. Individual fish reproduces and survives, and moves between habitats according to age-specific habitat preference and density-dependent habitat selection.</p> <p>3. Population spatial variability elevates with increasing age truncation and the response is stronger for populations with stronger age-specific habitat preference. On a gradient landscape, reducing carrying capacity elevates the relative importance of density-dependence in habitat selection, which weakens the response of spatial variability to age truncation for populations with strong age-specific habitat preference. On a fragmented landscape, both populations with strong and weak age-specific habitat preferences are restricted at local optimal habitats, and reducing carrying capacity weakens the responses of spatial variability to age truncation for both populations.</p> <p>4. Synthesis and applications. We demonstrate that to track and predict the changes in population spatial variability under exploitation, it is essential to consider the interactive effects of age-specific habitat preference, carrying capacity, and landscape structure. To improve spatial management in fisheries, it is crucial to enhance empirical and theoretical developments in the methodology to quantify age-specific habitat preference of marine fish, and to understand how climatic change influences carrying capacity and landscape continuity.</p>

opencc-zeroMar 2022View details →
zenodo28/100

Data to accompany "Evaluation of Spatial Audio Reproduction Methods (Part 2): Analysis of Listener Preference", J. AES, 2016

<p>This work was supported by the EPSRC Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home (EP/L000539/1). Details about the data underlying this work, along with the terms for data access, are available from http://dx.doi.org/10.15126/surreydata.00809533</p> <p>If you use the data, please cite the following paper:</p> <p>J. Francombe, T. Brookes, and R. Mason, 2016: Evaluation of Spatial Audio Reproduction Methods (Part 2): Analysis of Listener Preference. Journal of the Audio Engineering Society</p>

opencc-by-nc-4.0Nov 2020View details →
dryad28/100

Data from: New quantitative approaches reveal the spatial preference of nuclear compartments in mammalian fibroblasts

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publicDec 2015View details →
dryad28/100

Age-specific habitat preference, carrying capacity, and landscape structure determine the response of population spatial variability to fishing-driven age truncation

Open the record for dataset details and reuse information.

publicMar 2022View details →
geo24/100

Distinct oligodendrocyte populations have spatial preference and different responses to spinal cord injury

GEO Series GSE128525. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2020View details →

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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.

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OpenNeuro

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Last verified 2026-04-29Open record