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.
115
datasets available to search
ShareScore release 0.9.0
Dataset results
115 results for “Niche overlap”
Implications of climate change for environmental niche overlap between five Cuscuta pest species and their two main host crop species
Open the record for dataset details and reuse information.
Data from: Trophic niche overlap decreases in related mesocarnivore species
Open the record for dataset details and reuse information.
Data from: Specialization and niche overlap across spatial scales: revealing ecological factors shaping species richness and coexistence in Australian songbirds
Open the record for dataset details and reuse information.
Data from: Invasive cane toads are unique in shape but overlap in ecological niche compared to Australian native frogs
Open the record for dataset details and reuse information.
Isotopic niche overlap between sympatric Australian snubfin and humpback dolphins
Open the record for dataset details and reuse information.
Deer GPS and animal-borne camera data showing effects of gray wolves on niche overlap between mule and white-tailed deer in eastern Washington state
Open the record for dataset details and reuse information.
Data from: The effect of range overlap on ecological niche divergence depends on spatial scale in monkeyflowers
Open the record for dataset details and reuse information.
Data from: Competition and resource breadth shape niche variation and overlap in multiple trophic dimensions
Open the record for dataset details and reuse information.
Data from: Observed fitness may affect niche overlap in competing species via selective social information use
Open the record for dataset details and reuse information.
Data from: Discrimination of grasshopper (Orthoptera: Acrididae) diet and niche overlap using next-generation sequencing of gut contents
Open the record for dataset details and reuse information.
Data from: Quantifying niche availability, niche overlap and competition for recruitment sites in plant populations without explicit knowledge of niche axes.
Open the record for dataset details and reuse information.
Foraging niche overlap during chick-rearing in the sexually dimorphic Westland petrel
Open the record for dataset details and reuse information.
Data from: Trophic niche size and overlap decreases with increasing ecosystem productivity
Open the record for dataset details and reuse information.
Ecological specialization and niche overlap of subterranean rodents inferred from DNA metabarcoding diet analysis
<p>Knowledge of how animal species use food resources available in the environment increases our understanding of ecological processes. However, obtaining this information using traditional methods is a hard task for species feeding on a large variety of food items in highly diverse environments. We amplified the DNA of plants for 306 scat and 40 soil samples, and applied an eDNA metabarcoding approach to investigate food preferences, degree of diet specialization and diet overlap of seven herbivore rodent species of the <i>Ctenomys</i> genus distributed in southern and midwestern Brazil.<b> </b>The metabarcoding approach revealed that species consume more than 60% of the plant families recovered in soil samples, indicating generalist feeding habits of ctenomyids. The Poaceae family was the most common food resource retrieved in scats of all species as well in soil samples. Niche overlap analysis indicated high overlap in the plant families and Molecular Operational Taxonomic Units consumed, mainly among the southern species.<b> </b>Interspecific difference in diet composition was influenced, among other factors, by the availability of resources in the environment. In addition, our results provide support for the hypothesis that the allopatric distributions of ctenomyids allow them to exploit the same range of resources when available, possibly because of the absence of interspecific competition.</p>
Figure 11 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 11. Temporal trend of the Pianka mean niche overlap indexes deviation from random alternatives (1998–2018). The abscissa axis – years, the ordinate axis – the Pianka mean niche overlap indexes deviation from random alternatives, line – the linear approximation of the temporal trend (R2 = 0.32, p <0.001).
Figure 9 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 9. Dynamics of the spawning start and end of fish in the "Dnipro-Orilskiy" nature reserve. The abscissa axis – years; the ordinate axis – spawning start and end, days of the year (black dot – spawning start time, red dot – spawning end time); lines – linear trend approximation
Figure 8 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 8. Dependence of the coefficient of variation of the spawning start time from the average time of the spawning onset and the coefficient of variation of the end of the spawning from the average time of the end of the spawning. The abscissa axis – days of the year; the ordinate axis – coefficient of variation (blue dot – spawning start time, red dot – spawning end time); lines – second order approximation polynomials.
Figure 7. Fine-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 7. Fine-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year.
Figure 3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 3. Annual course of the temperature (A) and residuals of the trend line (B). The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year, the ordinate axis – the average temperature for the period 1998–2018 (A). Line indicates the graph of the polynomial of the fourth degree.
Figure 2 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 2. The dynamics of air temperature from 1998 to 2018. The line indicates an approximation of the average annual temperature trend Temp = 8.81 + 0.059 t, where Temp – average annual temperature, t – the order of year: 1 – 1998, 2 – 1999, etc.
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.