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.
2,556
datasets available to search
ShareScore release 0.9.0
Dataset results
2,556 results for “assemblages”
Figure 1. Combined species discovery curve for 952 in Canopy assemblages and species richness of planthoppers (Hemiptera: Fulgoroidea) in the Ecuadorian Amazon
Figure 1. Combined species discovery curve for 952 planthopper canopy fogging samples (two sites, four collecting years) including select estimators of diversity. Total observed morphospecies was 638, with 24% represented as singletons. The averaged value of the diversity estimators is 793 species. Curves for species observed and diversity estimators failed to reach an asymptote.
Fig. 7 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 7. Morphospaces obtained using the first and second relative warps for large gillnet, small gillnet and hook and line. Warm colours in the Kernel density plots indicate the shapes of major occurrence.
Fig. 6 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 6. Morphospaces obtained using the first and second relative warps for cast net, fish trap and marginal encircling gillnet. Warm colours in the Kernel density plots indicate the shapes of major occurrence.
Fig. 5 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 5. Morphospaces obtained using the first and second relative warps for otter trawl, beach seine and inner encircling gillnet. Warm colours in the Kernel density plots indicate the shapes of major occurrence.
Fig. 3 in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 3. Morphological diversification and variance explained for the relative warps (RW) 1 to 3 using the thin-plate spline.
Fig. 1. a in Optimal fishing samplers to reveal the morphological structure of a fish assemblage in a subtropical tidal flat
Fig. 1. a. Araçá Bay location, bordering São Sebastião Channel, north shore of São Paulo State, Brazil; b. Araçá Bay (Photo: Gabriel Monteiro).
Data from: Live, dead, and fossil mollusks in Florida freshwater springs and spring-fed rivers: taphonomic pathways and the formation of multi-sourced, time-averaged death assemblages
Taphonomic processes are informative about the magnitude and timing of paleoecological changes but remain poorly understood with respect to freshwater invertebrates in spring-fed rivers and streams. We compared taphonomic alteration among freshwater gastropods in live, dead (surficial shell accumulations), and fossil (late Pleistocene-early Holocene in situ sediments) assemblages from two Florida spring-fed systems, the Wakulla and Silver/Ocklawaha Rivers. We assessed taphonomy of two gastropod species: the native <i>Elimia floridensis</i> (n=2504) and introduced <i>Melanoides tuberculata</i> (n=168). We quantified seven taphonomic attributes (aperture condition, color, fragmentation, abrasion, juvenile spire condition, dissolution, and exterior luster) and combined those attributes into a total taphonomic score (TT). Fossil <i>E. floridensis</i> specimens exhibited the greatest degradation (highest TT scores), whereas live specimens of both species were least degraded. Specimens of <i>E. floridensis</i> from death assemblages were less altered than fossil specimens of the same species. Within death assemblages, specimens of <i>M. tuberculata</i> were significantly less altered than specimens of <i>E. floridensis</i>, but highly degraded specimens dominated in both species. Radiocarbon dates on fossils clustered between 9792 and 7087 cal. BP, whereas death assemblage ages ranged from 10,692 to 1173 cal. BP. Possible explanations for the observed taphonomic patterns include: (1) rapid taphonomic shell alteration, (2) prolonged near-surface exposure to moderate alteration rates, and/or (3) introduction of reworked fossil shells into surficial assemblages. Combined radiocarbon dates and taphonomic analyses suggest that all these processes may have played a role in death assemblage formation. In these fluvial settings, shell accumulations develop as a complex mixture of specimens derived from multiple sources and characterized by multi-millennial time averaging. These findings suggest that, when available, fossil assemblages may be more appropriate than death assemblages for assessing pre-industrial faunal associations and recent anthropogenic changes in freshwater ecosystems.
Figure 4 from: Pócs T, Lee GE, Podani J, Pesiu E, Havasi J, Tang HY, Mustapeng AMA, Suleiman M (2020) A study of community structure and beta diversity of epiphyllous liverwort assemblages in Sabah, Malaysian Borneo. PhytoKeys 153: 63-83. https://doi.org/10.3897/phytokeys.153.53637
Figure 4 Ternary (or simplex) plot for the epiphyllous liverwort assemblages based on presence-absence data for three rainforest sites in Sabah A all sites taken together B mossy cloud (elfin) forest, Mt. Alab C lowland rainforest, Ulu Senagang D lower montane rainforest, Mt. Silam.
Figure 3 from: Pócs T, Lee GE, Podani J, Pesiu E, Havasi J, Tang HY, Mustapeng AMA, Suleiman M (2020) A study of community structure and beta diversity of epiphyllous liverwort assemblages in Sabah, Malaysian Borneo. PhytoKeys 153: 63-83. https://doi.org/10.3897/phytokeys.153.53637
Figure 3 The Principal Components ordination biplot of the three groups of epiphyllous assemblages, each containing 50 leaves. Numbers identify forest sites 1 mossy cloud (elfin) forest, Mt. Alab (Table 4) 2 lowland rainforest, Ulu Senagang (Table 2) 3 lower montane rainforest, Mt. Silam (Table 3).
Figure 2 from: Pócs T, Lee GE, Podani J, Pesiu E, Havasi J, Tang HY, Mustapeng AMA, Suleiman M (2020) A study of community structure and beta diversity of epiphyllous liverwort assemblages in Sabah, Malaysian Borneo. PhytoKeys 153: 63-83. https://doi.org/10.3897/phytokeys.153.53637
Figure 2 Leaf area (in cm2, x axis) – number of epiphyll liverwort species (y axis) relationship based on 150 leaves collected in three rainforest sites in Sabah.
Harrison's rule scales up to entire parasite assemblages but is determined by environmental factors
<p>Harrison's rule states that parasite body size and the body size of their hosts tend to be positively correlated. After it was proposed a century ago, a number of studies have investigated this trend, but the support level has varied greatly between parasite/host associations. Moreover, while the rule has been tested at the individual species level, we still lack knowledge on whether Harrison's rule holds at the scale of parasite and host communities.</p> <p>Here, we mapped flea (parasites) and rodent (hosts) body sizes across Mongolia and asked whether Harrison's rule holds for parasite/host assemblages (i.e., whether a parasite's average body size in a locality is positively correlated with its host's average body size). In addition, we attempted to disentangle complex relationships between flea size, host size, and environmental factors by testing alternative hypotheses for the determinants of fleas' body size variation.</p> <p>We gathered occurrence data for fleas and rodents from 2370 sites across Mongolia, constructed incidence matrices for both taxa, and calculated the average body sizes of fleas and their hosts over half-degree cells. Then, we applied a path analysis, accounting for spatial autocorrelation, trying to disentangle the drivers of the correlation between parasite and host body sizes.</p> <p>We found a strong positive correlation between average flea and host size across assemblages. Surprisingly though, we found that environmental factors simultaneously affected the body sizes of both fleas and hosts in the same direction, leading to a most likely deceptive correlation between parasite and host size across assemblages.</p> <p>We suggest that environmental factors may, to a great extent, reflect the environmental conditions inside the hosts' burrows where fleas develop and attain their adult body size, thus influencing their larval growth. Similarly, rodent body size is strongly influenced by air temperature, in the direction predicted by Bergmann's rule. If our findings are valid in other host-parasite associations, this may explain the dissenting results of both support and lack thereof for Harrison's rule.</p>
Figure 1 in Aquatic Diptera (Insecta) assemblages in four sympatric Eryngium (Apiaceae) phytotelmata in flowering and senescent times
Figure 1. Eryngium horridum: (A) flowering plant; (B) top view of a non-flowering plant showing arrangement of leaves; (C) detail of axils containing water.
Figure 6 in Aquatic Diptera (Insecta) assemblages in four sympatric Eryngium (Apiaceae) phytotelmata in flowering and senescent times
Figure 6. Cluster analysis of the Eryngium phytotelmata in spring, using the Morisita–Horn index and UPGMA linkage.
Figure 5 in Aquatic Diptera (Insecta) assemblages in four sympatric Eryngium (Apiaceae) phytotelmata in flowering and senescent times
Figure 5. Cluster analysis of the Eryngium phytotelmata in autumn, using the Morisita–Horn index and UPGMA linkage.
Data 2 for "Population- and age-specific patterns of haemosporidian assemblages and infection levels in European Bee-eaters (Merops apiaster)"
<p>Data related to the article "Population- and age-specific patterns of haemosporidian assemblages and infection levels in European Bee-eaters (<em>Merops apiaster</em>)" in the format .fas. FASTA file contains sequences cytochrome b which were assigned to haemosporidian lineages with the R script (see 10.5281/zenodo.3968360).</p>
Figure 2 in Assessing high compositional differences of beetle assemblages across vertical woodland strata in the New Forest, Hampshire, England
Figure 2. Species accumulation curves created by rarefaction for each sampling method. Vertical bars = 95% confidence limits around the species richness estimate.
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.
Figure 2 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 2. Richness of anuran species and abiotic variables in Cabaceiras assemblage between May 2010 and November 2011. Values above bars represent number of species in calling activity.
Figure 3 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 3. Relations of body size and dominant frequency of 11 anuran species. Small circles represent one species and a big circle represents two species.
Figure 4 in Acoustic ecology of an anuran assemblage in the arid Caatinga of northeastern Brazil
Figure 4. Cluster analysis based in Euclidean distance calculated from mean of seven call parameters of 11 anuran species.
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.