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.
290
datasets available to search
ShareScore release 0.9.0
Dataset results
290 results for “sea turtles”
FIGURE 2. Cytochrome b in A new species of turtle-headed sea Snake (Emydocephalus: Elapidae) endemic to Western Australia
FIGURE 2. Cytochrome b maximum clade credibility BEAST tree for Emydocephalus. Aipysurus species included for comparison.
FIGURE 1 in The widely occurring brittlestar Ophiactis savignyi (Amphilepidida: Ophiactidae) as an epibiont on loggerhead sea turtle, Caretta caretta
FIGURE 1. Heavily encrusted female loggerhead sea turtle (plastic tags of Yakushima Umigame-kan, No. Y8390 on the right hind flipper and No. Y8389 on the left hind flipper). The first landing record of this turtle was 2002 July, 21th in Yakushima Is. Landings of this turtle were recorded in 2002, 2008 and 2017.
Fig. 3 in Sixteen Year (2002-2017) Record of Sea Turtle Strandings on Samandağ Beach, the Eastern Mediterranean Coast of Turkey
Fig. 3. Yearly percentage of stranded Caretta caretta and Chelonia mydas individuals on Samandağ Beach between 2002 and 2017 (for each species, the percentage of strandings from all years is 100%). © 2018 Academia Sinica, Taiwan
Figure 11 in Redescription of the skull of the Australian flatback sea turtle, Natator depressus, provides new morphological evidence for phylogenetic relationships among sea turtles (Chelonioidea)
Figure 11. Antero-medial view of braincase of Natator depressus (WAM R112123) (A) and Lepidochelys olivacea (SAMA BM670) (B) illustrating the two states of the rostrum basisphenoidale, robust (A) and gracile (B). Displaying the states of character 4 based on the descriptor in the Appendix. Abbreviations: pro.ros.nas processus rostrum basisphenoidale; ros.bas, rostrum basisphenoidale. Scale bars = 20mm.
Figure 8 in Redescription of the skull of the Australian flatback sea turtle, Natator depressus, provides new morphological evidence for phylogenetic relationships among sea turtles (Chelonioidea)
Figure 8. Transverse cross sections Natator depressus (WAM R120113) cranium of the posterior portion of the skull (A) and of the nasal region moving anteriorly (B, C). Abbreviations: BO, basioccipital; cav.lab, cavum labrinthicum; fpcci, foramen posterior canalis cartotici interni; fos. nar, fossa nasalis; fos.orb.nas., fossa orbito-nasalis; int.nar., internal nares; MX, maxilla; OP, opsithotic; PAL, palatine; PAR, parietal; PRFR, prefrontal; PT, pterygoid; PT, pterygoid; VO, vomer. Scale bars are 50mm.
FIG. 4 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 4.—The rate of rear flipper movement as a function of the completion of two behavioral stages for video-recorded Green Sea Turtles (Chelonia mŋdas) nesting on beaches in Brevard and Indian River counties, Florida, USA. (A) The digging stage (n ¼ 6); (B) the covering stage (n ¼ 8). See Results for detailed descriptions of behaviors involved in each stage; trend lines were used for visualization purposes only.
FIG. 3 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 3.—The rate of flipper movement as a function of the completion of two behavioral stages for video-recorded Green Sea Turtles (Chelonia mŋdas) nesting on beaches in Brevard and Indian River counties, Florida, USA. (A) The body pitting stage (n ¼ 4); (B) the camouflaging stage (n ¼ 8). See Results for detailed descriptions of behaviors involved in each stage; trend lines were used for visualization purposes only.
Observations of sea turtles
Open the record for dataset details and reuse information.
The global impact of illegal sea turtle harvesting SI.
Open the record for dataset details and reuse information.
Aerial drones reveal the dynamic structuring of sea turtle breeding aggregations and minimum survey effort required to capture climatic and sex-specific effects
<p class="MsoNormal">Quantifying how animals use key habitats and resources for their survival allows managers to optimise conservation planning; however, obtaining representative sample sizes of wildlife distributions in both time and space is challenging, particularly in the marine environment. Here, we used unoccupied aircraft systems (UASs) to evaluate temporal and spatial variation in the distribution of loggerhead sea turtles (<em>Caretta caretta</em>) at two high-density breeding aggregations in the Mediterranean, and the effect of varying sample size and survey frequency. In May–June of 2017 to 2019, we conducted 69 surveys, assimilating 10,075 inwater turtle records at the two sites. Optimal survey frequency to capture the dynamics of aggregations over the breeding period was <2-week intervals and >500 turtles (from the combined surveys). This minimum threshold was attributed to the core-area use of female turtles shifting across surveys in relation to wind direction to access warmer nearshore waters and male presence. Males were more widely distributed within aggregations than females, particularly in May when mating encounters were high. Most males were recorded swimming and oriented parallel to shore, likely to enhance encounter rates with females. In contrast, most females were generally stationary (resting on the seabed or basking), likely to conserve energy for reproduction, with orientation appearing to shift in relation to male numbers at the breeding area. Thus, by identifying the main factors regulating the movement and distribution of animals, appropriate survey intervals can be selected for appropriate home range analyses. Our study demonstrates the versatility of UAS to capture the fine-scale dynamics of wildlife aggregations and associated factors, which is important for implementing effective conservation.</p>
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.