Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
470
datasets available to search
ShareScore release 0.9.0
Dataset results
470 results for “spatial pattern”
Data from: Seascape continuity plays an important role in determining patterns of spatial genetic structure in a coral reef fish
Open the record for dataset details and reuse information.
Data from: Non-random latitudinal gradients in range size and niche breadth predicted by spatial patterns of climate
Open the record for dataset details and reuse information.
Resource availability and heterogeneity shape the self‐organisation of regular spatial patterning
Open the record for dataset details and reuse information.
Spatial pattern of genetic diversity in field populations of Fusarium incarnatum-equiseti species complex
Open the record for dataset details and reuse information.
Spatial point pattern analysis of traces (SPPAT): an approach for visualizing and quantifying site-selectivity patterns of drilling predators
Open the record for dataset details and reuse information.
Both selection and drift drive the spatial pattern of adaptive genetic variation in a wild mammal
Open the record for dataset details and reuse information.
Data for modelling spatial patterns and determinants of atmospheric carbon dioxide concentrations in Phoenix metro area
The purpose of this work is to describe determinants and spatial patterns of atmospheric carbon dioxide (CO2) in Phoenix, Arizona. Specifically, we use geographic information systems (GIS) and regression-based analyses to identify the human and biological factors that contribute to spatial and temporal variations in near-surface atmospheric CO2 levels. We use these factors to create estimated surfaces of CO2 for the urban area. We validate our surfaces using independently collected records of CO2 from several monitoring stations and transects. To investigate the temporal patterns and variations of CO2, we were able to generate CO2 surfaces for the early mornings and the afternoons, and on weekdays when traffic is heavy and spatially focused and on weekends when it is lighter and more spatially dispersed. Our findings suggest there is a distinct relationship between the structure of Phoenix CO2 levels and spatial patterns of human activities and vegetation densities. Morning CO2 levels are higher than afternoon levels and correspond closely to the density of traffic, population, and employment. The spatial structure of human activity explains the pattern of CO2 better on weekdays than on weekends. CO2 surfaces reflect declining densities of human activity with distance from the city center, the pattern of irrigated agriculture in the Phoenix area, and riparian habitats on the urban fringe. Spatial and temporal patterns of CO2 are useful in understanding urban climate and ecosystem processes.
Figure 1. A-L in Taxonomic Accounts With Notes On Spatial Diversity And Relative Abundance Pattern Of Horseflies (Diptera: Tabanidae) From Sonamukhi Protected Forest Area Of West Bengal, India
Figure 1. A-L. Comparative analyses of different alpha diversity indices of tabanids seasonally through pre-monsoon, monsoon and post monsoon i.e. A: Shanon diversity index; B: Dominance index; C: Simpson's dominance index; D: Evenness index; E: Brillouin's index; F: Menhinick index; G: Margalef's index; H: Equitability index; I: Fisher's alpha index; J: Berger-Parker index; K: Chao-1 index; L: ln SHE index.
Plate 2 in Taxonomic Accounts With Notes On Spatial Diversity And Relative Abundance Pattern Of Horseflies (Diptera: Tabanidae) From Sonamukhi Protected Forest Area Of West Bengal, India
Plate 2. Habitus of three species of Tabanidae, i.e. A: Haematopota javana Wiedemann, 1821; B: Haematopota marginata Ricardo, 1911 and C: Hippocentrodes desmotes Philip, 1961.
Figure 4 in Spatial patterns of the semi-aquatic rodent Nectomys squamipes in Atlantic forest streams
Figure 4. Linear regressions between body weight (g) and home length (m) for 29 individuals of Nectomys squamipes analysed through capture–mark–recapture (CMR). Black circles represent males and grey circles represent females. The top line represents the linear regression for males, while the bottom and dotted line represents the linear regression for females. The regression equations are presented on the figure. HL = home length; BWeight = body weight.
Figure 2 in Spatial patterns of the semi-aquatic rodent Nectomys squamipes in Atlantic forest streams
Figure 2. Geometric regression curve between river/tributary width (m) and Nectomys squamipes trapping success (%). The regression equation is presented on the figure. TS = trapping success.
Figure 1 in Spatial patterns of the semi-aquatic rodent Nectomys squamipes in Atlantic forest streams
Figure 1. Study area, in Rio de Janeiro state, Brazil. Tg 1 and Tg 2 are tributaries of Águas Claras River; Tf 1 and Tf 2 are tributaries of Floresta River.
Figure 3 in Spatial patterns of the semi-aquatic rodent Nectomys squamipes in Atlantic forest streams
Figure 3. Home length and home range (MCP) for four males (R-M) and one female (R-F) of Nectomys squamipes monitored through radio tracking and capture–mark–recapture.
Figure 5 in Spatial patterns of the semi-aquatic rodent Nectomys squamipes in Atlantic forest streams
Figure 5. Box plots of distance between successive captures (DSC) for 64 individuals of Nectomys squamipes studied using capture–mark–recapture (CMR). (a) Males' DSC between seasons; (b) females' DSCs between seasons. The middle line on boxes represents the median; the bottom and top of the boxes represent the first and the third quartiles; the whiskers extend to no more than 1.5 times the interquartile range from the boxes or to the extreme data point. Numbers in parentheses are the sample sizes for each sample group.
Figure 5 in Patterns of spatial variability of mobile macro-invertebrate assemblages within a Posidonia oceanica meadow
Figure 5. Percentage pseudo-variance components of mobile macro-invertebrate assemblages of Posidonia oceanica meadow at (a) shallow, (b) intermediate and (c) deep stands.
Anuran accents: Continental-scale citizen science data reveal spatial and temporal patterns of call variability
<p>Data and code associated with the 2020 publication in Ecology and Evolution (doi:10.1002/ece3.6833).</p>
Spatial and temporal variation in prey colour patterns for background-matching across a continuous heterogeneous environment
<p>In heterogeneous habitats, camouflage via background-matching can be challenging because visual characteristics can vary dramatically across small spatial scales. Additionally, temporal variation in signalling functions of colouration can affect crypsis, especially when animals use colouration seasonally for intraspecific signalling (e.g. mate selection). We currently have a poor understanding of how wild prey optimise background-matching within continuously heterogeneous habitats, and whether this is affected by requirements of intraspecific signalling across biological seasons. Here, we quantified colour patterns of a wild population of shore skink (<i>Oligosoma smithi</i>), a variably coloured lizard endemic to New Zealand, to 1) investigate whether background-matching varies across a vegetation gradient; 2) assess potential signalling functions of colour; and 3) to determine whether there is a trade-off between requirements for crypsis and intraspecific signalling in colouration across seasons. Although all pattern types occurred throughout the vegetation gradient, we found evidence for background-matching in skinks across the vegetation gradient, where dorsal brightness and pattern complexity corresponded with the proportion of vegetation cover. There was also a significant disparity between ventral colour (saturation) of juveniles and adults, and also between sexes, suggestive of sex recognition. However, there was little indication that colour was condition-dependent in adults. Despite some evidence for a potential role in signalling, crypsis did not greatly differ across seasons. Our study suggests that selection favours a mix of generalist and specialist background-matching strategies across continuously heterogeneous habitats.</p>
Data from: Fractal measures of spatial pattern as a heuristic for return rate in vegetative systems
Measurement of population persistence is a long-standing problem in ecology; in particular, whether it is possible to gain insights into persistence without long time-series. Fractal measurements of spatial patterns, such as the Korcak exponent or boundary dimension, have been proposed as indicators of the persistence of underlying dynamics. Here we explore under what conditions a predictive relationship between fractal measures and persistence exists. We combine theoretical arguments with an aerial snapshot and time series from a long-term study of seagrass. For this form of vegetative growth, we find that the expected relationship between the Korcak exponent and persistence is evident at survey sites where the population return rate can be measured. This highlights a limitation of the use of power-law patch-size distributions and other indicators based on spatial snapshots. Moreover, our numeric simulations show that for a single species and a range of environmental conditions that the Korcak–persistence relationship provides a link between temporal dynamics and spatial pattern; however, this relationship is specific to demographic factors, so we cannot use this methodology to compare between species.
Data from: Morphological variability in propagules of a desert annual as a function of rainfall patterns at different temporal and spatial scales
1.Organisms living in highly variable environments have to display integrated strategies to deal with both systematic and random variation occurring at different temporal and spatial scales. Two predictions were tested by analysing geographic-scale patterns of seed size and seed retention (serotiny) in Chorizanthe rigida, a strict winter desert annual that delays seed dispersal and releases propagules after rainfall events: (a) Adaptation to systematic environmental cues occurs by means of changes in morphology, and (b) within-individual variation in seed size allows a differential response to rainfall cues: while some seeds germinate rapidly others are retained for future rainfall events. 2.We quantified morphological variation and performed germination experiments on C. rigida propagules (involucres + achenes) from six populations distributed throughout the Mojave and Sonoran deserts covering: (a) a systematic, west-to-east, winter-to-bi-seasonal (summer and winter) precipitation gradient, and (b) a winter-rain unpredictability gradient inferred from long-term climatic data. 3.The propagule retention structure (i.e., base area of the pedicel) of C. rigida individuals experiencing bi-seasonal rainfall are double the size of those that have evolved under a strict winter rainfall regime, showing that populations living in bi-seasonal environments have higher seed retention which allows them to avoid releasing seeds to a summer rainfall cue. 4.Within-individual variance of propagule size varied significantly between populations and was correlated with winter rainfall variability in each site. 5.Germination varied as a function of propagule size; smaller seeds germinated more readily than larger seeds. Increased variability in propagule size might result in a more variable germination response. 6.Under common experimental conditions germination varied significantly among sites and was negatively correlated with mean winter effective precipitation, suggesting that propagules from populations in drier sites have lower germination moisture thresholds. 7.Synthesis. C. rigida propagules have larger bases in deserts with biseasonal rainfall, which allows them to avoid seed release during summer rainfall cues, and display within-individual seed variance associated to rainfall unpredictability, a trait often interpreted as a bet-hedging strategy. Our study provides empirical evidence of an integrated strategy that allows to cope with both random and systematic rainfall variation.
Data from: Spatial patterns and interspecific associations among trees at different stand development stages in the natural secondary forests on the Loess Plateau, China
Quercus wutaishansea populations on the Loess Plateau are currently becoming more dominant in natural secondary forests, whereas Pinus tabulaeformis is declining. In the present paper, the diameter class (instead of age) was used to classify the different growth stages as juvenile, subadult, or adult, and the univariate function g(r) was used to analyze the dynamic changes in spatial patterns and interspecific associations in three 1‐ha tree permanent plots on the Loess Plateau, NW China. Our results suggested that the niche breadth changed with the development stage. The diameter distribution curve was consistent with the inverted "J" type, indicating that natural regeneration was common in all three plots. There was a close relationship between the spatial pattern and scale, which showed significant aggregation at small distances, and became more random as distance increased, but in the Pinus + Quercus mixed forests, the whole species were aggregated at distances up to 50 m. The degree of spatial clumping decreased from juvenile to subadult and from subadult to adult. The spatial pattern also differed at different growth stages, likely due to strong intraspecific competition. Associations among different growth stages were positively correlated at small scales. Our study is important to the understanding of the development of the Q. wutaishansea forests; thus, the spatial dynamic change features should be received greater attention when planning forest management and developing restoration strategies on the Loess Plateau.
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.