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.
4
datasets available to search
ShareScore release 0.9.0
Dataset results
4 results for “depth diversity gradient”
Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
<p>Changes in the functional structures of communities are rarely examined along multiple large-scale environmental gradients. Here, we describe patterns in functional beta diversity for New Zealand marine fishes <i>vs</i> depth and latitude, including broad-scale delineation of functional bioregions. We derived eight functional traits related to food acquisition and locomotion and calculated complementary indices of functional beta diversity for 144 species of marine ray-finned fishes occurring along large-scale depth (50 - 1200 m) and latitudinal gradients (29° - 51° S) in the New Zealand Exclusive Economic Zone. We focused on a suite of morphological traits calculated directly from <i>in situ</i> Baited Remote Underwater Stereo-Video (stereo-BRUV) footage and museum specimens. We found that functional changes were primarily structured by depth followed by latitude, and that latitudinal functional turnover decreased with increasing depth. Functional turnover among cells increased with increasing depth distance, but this relationship plateaued for greater depth distances (> 750 m). In contrast, functional turnover did not change significantly with increasing latitudinal distance at 700 - 1200 m depths. Shallow functional bioregions (50 - 100 m) were distinct at different latitudes, whereas deeper bioregions extended across broad latitudinal ranges. Fishes in shallow depths had a body shape conducive to efficient propulsion, while fishes in deeper depths were more elongated, enabling slow, energy-efficient locomotion, and had large eyes to enhance vision. Environmental filtering may be a primary driver of broad-scale patterns of functional beta diversity in the deep sea. Greater environmental homogeneity may lead to greater functional homogeneity across latitudinal gradients at deeper depths (700 - 1200 m). We suggest that communities living at depth may follow a 'functional village hypothesis', whereby similar key functional niches in fish communities may be maintained over large spatial scales.</p>
Functional beta diversity of New Zealand fishes: characterising morphological turnover along depth and latitude gradients, with derivation of functional bioregions
Open the record for dataset details and reuse information.
Depth and latitudinal diversity gradients in seamount benthic communities of the South Atlantic
Aim <p>Although latitudinal and bathymetric species diversity gradients in the deep sea have been identified and investigated, studies have rarely considered these gradients across seamount and oceanic island ecosystems. This study aimed to identify whether the current understanding of latitudinal and bathymetric gradients in α-diversity (species richness) apply to South Atlantic seamount ecosystems, as well as ascertaining whether identifiable trends were present in seamount β-diversity along a bathymetric gradient.</p> Location <p>The South Atlantic Ocean.</p> Time period <p>2013-2019</p> Major taxa studied <p>Benthic communities.</p> Methods <p>Drop camera images from 39 transects, collected between 250 m and 950 m, were used to characterise species richness from within the Exclusive Economic Zones of Ascension Island, Saint Helena and Tristan da Cunha, spanning 8°S to 40°S. We subsequently applied linear modelling to test possible environmental drivers across latitudinal and bathymetric ranges (see transect metadata for variables). An Analysis of Similarity was employed to investigate the beta-diversity gradient, and the level of species turnover with depth.</p> Results <p>Surface primary productivity and substrate hardness both had significant positive effects on species richness, and there was significantly higher species richness at temperate latitudes. No significant relationship between species richness and depth was detected, but there was a significant species turnover with depth.</p> Main conclusions <p>Seamounts and oceanic islands do not conform to established depth-diversity relationships within the depth range studied. However, despite their isolation and small sizes, seamounts and oceanic islands in the South Atlantic appear to follow latitudinal patterns of deep-sea species richness established for specific taxonomic groups in different ecosystems.</p>
Depth and latitudinal gradients of diversity in seamount benthic communities
Open the record for dataset details and reuse information.
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.