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.
2,586
datasets available to search
ShareScore release 0.9.0
Dataset results
2,586 results for “Gradients”
Figure 2 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado
Figure 2. Topography and the gradients of aluminum saturation, base saturation, and phosphorus across 30 plots (rectangles, 10×40 m) in a 4.5 ha area of contact between the cerrado stricto sensu (SA) and dry forest (DF) physiognomies.
Figure 1 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado
Figure 1. Biplot of tb-RDA for woody species composition, and relationships with edaphic (P = phosphorous; A = aluminum saturation; B = base saturation) and spatial (M1 and M2) variables, among plots in cerrado stricto sensu (gray) or dry forest (black) physiognomies.
Figura 2 in Estructura y composición de las bandadas mixtas de aves invernales a lo largo del gradiente latitudinal en las selvas montanas de las Yungas, Argentina
Figura 2. (A) Análisis multivariado de similitud Nonmetric Multidimensional Scaling entre la riqueza y los diferentes sitios de estudio de las selvas montanas de las Yungas de Argentina. (B) Análisis multivariado de similitud Nonmetric Multidimensional Scaling entre la abundancia relativa y los diferentes sitios de estudio de las selvas montanas de las Yungas de Argentina. Figure 2. (A) Nonmetric Multidimensional Scaling multivariate similarity analysis between richness and the different study sites of the subtropical montane forests of the Yungas of Argentina. (B) Nonmetric Multidimensional Scaling multivariate similarity analysis between relative abundance and the different study sites of the subtropical montane forests of the Yungas of Argentina.
Figura 1 in Estructura y composición de las bandadas mixtas de aves invernales a lo largo del gradiente latitudinal en las selvas montanas de las Yungas, Argentina
Figura 1. Distribución de las Yungas en Argentina y ubicación de los sitios de estudio. Las líneas indican los diferentes sectores de las Yungas. Figura modificada de Fundación ProYungas, http://siga. proyungas.org.ar/mapas/ Figure 1. Distribution of the Yungas in Argentina and location of study sites. The lines indicate the different sectors of the Yungas. Figure modified from Fundación ProYungas, http://siga.proyungas. org.ar/mapas/
Data for: Plasticity in mosquito size and thermal tolerance across a latitudinal climate gradient
<p>Variations in heat tolerance among populations can determine whether a species can cope with ongoing climate change. Such variation may be especially important for ectotherms whose body temperatures, and consequently, physiological processes, are regulated by external conditions. Additionally, differences in body size are often associated with latitudinal clines, thought to be driven by climate gradients. While studies have begun to explore variation in body size and heat tolerance within species, our understanding of these patterns across large spatial scales, particularly regarding the roles of plasticity and genetic differences, remains incomplete. Here, we examine body size, as measured by wing length, and thermal tolerance, as measured by the time to immobilization at high temperatures ("thermal knockdown"), in populations of the mosquito <em>Aedes sierrensis</em> collected from across a large latitudinal climate gradient spanning 1300 km (34-44 °N). We find that mosquitoes collected from lower latitudes and warmer climates were more tolerant of high temperatures than those collected from higher latitudes and colder climates. Moreover, body size increased with latitude and decreased with temperature, a pattern consistent with James' rule, which appears to be a result of plasticity rather than genetic variation. Our results suggest that warmer environments produce smaller and more thermally tolerant populations.</p>
Variation in successional dynamics shape biodiversity patterns over a tropical-temperate latitudinal gradient
<p>Successional dynamics can vary due to a range of ecological and environmental factors, but our understanding of biogeographic variation in succession, and the processes contributing to community development across ecosystems, is limited. The pattern and rate of recruitment of dispersive propagules likely differs over large spatial scales and can be an important predictor of successional trajectory. Over a 20-degree tropical-temperate latitudinal gradient, we measured sessile invertebrates over 12 months of community development and successive 3-month recruitment windows to understand succession and how it is influenced by recruitment. Succession and recruitment patterns varied over latitude. In the tropics, fast temporal turnover, fluctuating abundances, and lack of successional progression suggest that the contribution of stochastic processes was high. As latitude increased, successional progression became more apparent, characterized by increasing species richness and community cover, and a shift to more competitive taxa over time. At temperate locations, species identities were similar between older communities and recruiting assemblages, however community composition became more variable across space over time. Such divergence suggests an important role of early colonisers and species interactions on community structure. These findings demonstrate differences in the processes contributing to community development and biodiversity patterns over latitude. Understanding such biogeographic variation in community dynamics and identifying the prevalence of different processes can provide insights into how communities assemble and persist in response to environmental variability.</p>
FIG. 2 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 2. — Mean and standard error of the richness of epiphytic bryophytes in the height zones per vegetation type. Lowercase letters are used to indicate differences between height zones and uppercase letters to indicate differences between height zones compared in the different vegetation types in Igapó.
FIG. 4 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 4. — Non-metric multidimensional scaling (NMDS) plot of samples per zone in the vegetation types (stress = 0.1942709) using Sørensen distance. (Z1, base to 1 m; Z2, lower trunk; Z3, upper trunk; Z4, inner canopy; Z5, outer sun-lit twigs/leaves [outer canopy]).
FIG. 3. — A-C in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 3. — A-C, Overview of the number of species and shared species per vegetation type. Horizontal bars represent the total richness per zone; vertical bars represent the number of species found per each zone (points) and the number of species shared between zones (points connected by lines); D, mean and standard error of species richness per guild in the zones; E-G, association between zones and guilds based on the absolute frequency of taxa. Abbrevations: Sun, Sun specialist epiphytes; Sha, Shade specialist epiphytes, Gen, Generalist epiphytes; Z, Zone.
FIG. 1 in Vertical Gradient of Epiphytic Bryophytes in the Amazon: the Rule and its Exception
FIG. 1. — Sampling methods and study area. TABLE 2. — Similarity (Sørensen) and dissimilarity (Bray-Curtis) indices between height zones and vegetation types. Species richness and diversity per height zone are highlighted in gray.
Figure 13 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 13. – Indicator species for each cluster of the dendrogram resulting from the self-organizing map procedure (n = 10). IndVal values (in %) are shown in brackets. Shown indicator values (p <0.05) are only those greater than 25%.
Figure 2 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 2. – Variation (average and standard deviation) in species richness by sampling sites. Site order follows the upstream-downstream gradient.
Figure 12 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 12. – Correlation circle of the environmental variable, which discriminate clusters (n = 3) defined by the self-organizing map for stations in the F1 x F2 design for the factorial discriminant analysis. Dis, distance from source; FoBa, forest area; CaHi, canopy height; Vol, flow velocity; Cond, conductivity; Trans, water transparency; Alt, altitude.
Figure 7 in Spatial and temporal variations of fish communities in the longitudinal gradient of the Mono River (Benin and Togo: West Africa)
Figure 7. – Hierarchical classification of the nodes of the Kohonen map based on the species richness of the sites (n = 10). A: Self-organizing map (SOM) (20 nodes); B: Hierarchical clustering of the SOM nodes with a Ward linkage method and a Euclidean distance: the numbers (i.e. ranging from 1 to 20) correspond to those assigned on each node of the SOM.
FIGURE 1 in Trophic strategies of the invasive Twospot livebearer (Pseudoxiphophorus bimaculatus, Teleostei: Poeciliidae) in a gradient of environmental quality in central Mexico
FIGURE 1 | Geographic location of study area and sampling sites located in the Lerma-Chapala River basin and Pánuco River basin in central Mexico. XOT = El Xote; CHI = El Charco del Ingenio; GAL = Los Galvanes; PRC = Presa del Carmen; PVA = Paso de Vaqueros; OAS = Oasis; EXT = Extoraz; BUC = Bucareli.
FIGURE 2 in Trophic strategies of the invasive Twospot livebearer (Pseudoxiphophorus bimaculatus, Teleostei: Poeciliidae) in a gradient of environmental quality in central Mexico
FIGURE 2 | Physicochemical parameters of water in each study site in central Mexico: temperature (°C), TDS= Total dissolved solids (g/L) and DO= Dissolved oxygen (mg/L). XOT = El Xote; CHI = El Charco del Ingenio; GAL = Los Galvanes; PRC = Presa del Carmen; PVA = Paso de Vaqueros; OAS = Oasis; EXT = Extoraz; BUC = Bucareli.
Figure 3 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 3. Correlation matrix for PCA for physical-chemical and biotic parameters for sites studied along the Cautín River.
Figure 1 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 1. Map with sites on the Cautín River included in the present study. Table 1. Geographical location, altitude and classification of the sampling sites on the main course of the Cautín River.
Figure 4 in Macrozoobenthos in an altitudinal gradient in North Patagonian Cautín River (Araucanía Region, Chile)
Figure 4. Results of RDA for physical-chemical and biotic parameters for sites studied along the Cautín River.
Conditional gradient for total variation regularization with PDE constraints: a graph cuts approach
This module solves a PDE constrained minimisation problem with TV-regularization, using the method described in the paper "Conditional gradient for total variation regularization with PDE constraints: a graph cuts approach"
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.