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.
11
datasets available to search
ShareScore release 0.9.0
Dataset results
11 results for “diving pattern”
Dataset for "Large scale patterns and drivers of the diving behavior of gill-breathing large pelagic predators"
<p>This dataset includes all supporting data and scritps to generate figure panels in the paper "Large scale patterns and drivers of the diving behavior of gill-breathing large pelagic predators" (A. Nuno, J. Guiet, B. Baranek and D. Bianchi)</p>
Abdominal colour patterns of the sand diving spider Ammoxenus amphalodes (Araneae: Gnaphosidae) from South Africa
<p>The two types of abdominal patterns found in <em>Ammoxenus</em> species are discussed, with emphasis on <em>A. amphalodes</em> Dippenaar & Meyer, 1980. With images of live specimens, the two patterns are shown. Within the genus, there is large interspecific similarity, but intraspecific variability regarding the abdominal colour pattern. Due to these variations found species are sometimes wrongly identified.</p>
Dataset for "Large scale patterns and drivers of the diving behavior of large pelagic predators"
<p>This dataset comprises 694 independent diving depth estimates of large pelagic predators extracted from 101 tagging studies. For both daytime and nighttime observations, two unambiguous quantities were reported: 1) the preferred diving depth (D<sub>pref</sub>), representative of the approximate depth at which individuals spend most of the time, or in other words a mean representative depth; and (2) the preferred diving depth range (ΔD<sub>pref</sub>), representative of the portion of the water column where individuals are most commonly recorded by the tags, or, in other words, the vertical range over which they are most commonly observed. Alongside the diving depth data, three additional types of information were extracted to co-locate diving depth observations with environmental variables, and to account for potential ontogenetic behavioral effects. These additional pieces of information include the location and period of the observations, and a representative size of the tagged individual or group of individuals. The extraction process was replicated by two separate analysts to ensure accuracy and reliability. For further details on the dataset and extraction procedure, refer to the manuscript "<em>Large scale patterns and drivers of the diving behavior of large pelagic predators"</em>.</p>
Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs- Dive metadata
<p>Meta data for deep submergence dive locations associated with "Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs" published in Frontier of Marine Science 2023. </p>
Changes in dive patterns of leatherback turtles with sea surface temperature and potential foraging habitats
<p>Marine mesotherms are able to occupy broader thermal niches than ectotherms; however, this means they must exhibit greater tolerance to diverse environmental conditions across the ocean. Knowledge remains limited about how differences in environmental conditions within occupied habitats affect the bioenergetics of mesotherms and associated ecological traits. Here, we report that leatherback turtles (<i>Dermochelys coriacea</i>) migrating across the North Pacific changed their dive behavior regionally, possibly in response to changes in sea surface temperature and prey abundance. Our results demonstrate that dives became deeper when the surface water was warmer, presumably because leatherbacks dive to deep cold waters to avoid overheating. Moreover, the patterns of presumed foraging dives indicate that leatherbacks engage in behavioral thermoregulation in warmer foraging regions, which perhaps limit the time available for foraging activity. In contrast, mesothermy allows leatherbacks to spend more time foraging in cool-temperate regions. However, it might not produce greater reproductive output due to additional migration cost to these areas, which are more distant from their nesting beaches. Our results highlight that mesothermy might not provide a direct fitness advantage to all individual leatherback turtles; rather, it affords a species-level fitness advantage by allowing a greater diversity of habitats to be utilized.</p>
FIG. 5. Neobythites unicolor, USNM 422668, 93 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 5. Neobythites unicolor, USNM 422668, 93 mm SL, from off Curaçao; (A) after several months of freezing and subsequent defrosting (Carole Baldwin and Ross Robertson; mirror image); (B) after 508 days preservation (Marcus Krag).
FIG. 3 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 3. Neobythites unicolor encountered during ROV dives (unvouchered photographs). (A, B) USNM 444965, ca. 10 cm SL, off Virgin Islands, Anegada Passage, Noroit Seamount (Ocean Exploration Trust and U.S. Geological Survey); (C) USNM 444964, ca. 8 cm SL, off Puerto Rico, Mona Passage, Pichincho plateau. (NOAA Okeanos Explorer Program).
FIG. 2 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 2. Neobythites unicolor from off Curaçao (A–K) and from more northern (158N) areas (L–N). (A–D, in red frame) USNM 432331, 94 mm SL; (A) in situ photograph, inside a grass-mat trap; (B, C) shortly after capture above two different backgrounds; (D) after preservation; (E–H, in blue frame) USNM 431721, 69 mm SL; (E) in situ photograph; (F, G) shortly after capture above two different backgrounds; (H) after preservation; (I–K, in green frame) USNM 433497, 38 mm SL; (I, J) shortly after capture above two different backgrounds; (K) after preservation; (L–M, in yellow frame) USNM 440570, 65 mm SL, from off Dominica; (L) shortly after capture; (M) after freezing and preservation; (N) ZMUC P77940, paratype, 104 mm SL, from NW Caribbean. Sources: (A, E) Carole Baldwin and Ross Robertson, courtesy of substation Curaçao; (B, C, F, G, I, J) Carole Baldwin and Ross Robertson; (D, H, K, M, N) Marcus Krag, ZMUC; (L) Chris Richards, Curaçao Sea Aquarium.
FIG. 1 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 1. Distribution of Neobythites unicolor. Localities of specimens encountered and collected by the Curasub submersible are indicated by squares; triangles indicate the two ROV stations with verified images of this species; circles indicate all localities of specimens studied by Nielsen (1999), slightly updated (see text). Enlarged symbols with numbers indicate multiple, closely overlapping localities.
Changes in dive patterns of leatherback turtles with sea surface temperature and potential foraging habitats
Open the record for dataset details and reuse information.
FIG. 4 in Discovery of a Distinctive Spotted Color Pattern in the Cuskeel Neobythites unicolor (Teleostei, Ophidiidae) Based on Underwater-Vehicle Dives, with New Records from the Southern and Eastern Caribbean
FIG. 4. Number of pectoral-fin rays, length of longest gill filament, and otolith sulcus length against SL in Neobythites unicolor.
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.