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 9 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 9. Parasagital cross-section of Natator depressus (WAM R112123). A, D, skull, exposing the lateral wall of the braincase. B, C, represent the lateral wall of the braincase of Chelonia mydas (SAMA Unregistered) and Lepidochelys olivacea (SAMA BM670), respectively. A, the original surface file; B, the surface file redrawn and labelled. Areas which are 'cut through' are shaded with diagonal lines. Displaying the states of characters 1, 3, 7, based on the descriptors in the Appendix. Abbreviations: BO, basioccipital; BS, basisphenoid; EPT, epipterygoid; EX, exoccipital; for.ner.hyp., foramen nervi hypoglossi; for.ner.tri., foramen nervi trigemini; for.jug.ant.,foramen jugulare anterius; hia.acu., hiatus acousticus; OP, opisthotic; PAR, parietal; PT, pterygoid; PRO, prootic: SUP, supraoccipital. Scale bars = 20mm.
Figure 7 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 7. Dorsal view of the mandibles of the five extant extant cheloniid sea turtles. Images are of surface files constructed in Avizo lite 8.0. A, Natator depressus (WAM R112123). B, Chelonia mydas (NHMUK 1969.776) C, Eretmochelys imbricata (WAM R120113). D, Lepidochelys olivacea (SMNS 11070). E, Caretta caretta (SAM unregistered). Abbreviations: ANG, angular; ART, articular; COR, coronoid; DEN, dentary; fs.mk, fossa Makelii; Scale bar = 50mm.
Figure 4 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 4. Ventral view of the five genera of extant cheloniid sea turtles. Images are of surface files constructed in Avizo lite 8.0. A, Natator depressus (WAM R112123). B, Chelonia mydas (SAMA unregistered). C, Eretmochelys imbricata (WAM R120113). D, Lepidochelys olivacea (SAMA BM670). E, Caretta caretta (SAM unregistered). Abbreviations: BO, basioccipital; BS, basisphenoid; EX, exoccipital; fo.te.in, fossa temporalis inferior; JUG, jugal; MX, maxilla; PAL, palatine; PMX, premaxilla; PT, pterygoid; QU, quadrate; VO, vomer. Scale bar = 50mm.
Figure 2 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 2. Lateral view of the five genera of extant cheloniid sea turtles. Images are of surface files constructed in Avizo lite 8.0. A, Natator depressus(WAM R112123). B, Chelonia mydas (SAMA unregistered). C, Eretmochelys imbricata (WAM R120113). D, Lepidochelys olivacea (SAMA BM670). E, Caretta caretta (SAM unregistered). Displaying the states of characters 5, 6, 8, 9, 10, based on the descriptors in the Appendix. Abbreviations: FR, frontal; JUG, jugal; MX, maxilla; orb, orbital opening; PAR, parietal; PMX, premaxilla; PORB, postorbital; PRFR, prefrontal; QJ, quadratojugal; QU, quadrate; SQ, squamosal; su.ju.ri, superficial jugal ridge; SUP, supraoccipital. Scale bars = 50 mm.
Figure 6 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 6. Lateral and medial view of the five genera of the mandibles extant cheloniid sea turtles. Images are of surface files constructed in Avizo lite 8.0. A, Natator depressus (WAM R112123). B, Chelonia mydas (NHMUK 1969.776). C, Eretmochelys imbricata (WAM R120113). D, Lepidochelys olivacea (SMNS 11070). E, Caretta caretta (SAM unregistered). Abbreviations: ANG, angular; ART, articular; COR, coranoid; DEN, dentary; for.dent.maj, foramen dento faciale majus; fs.mk, fossa Makelii; lb.rid, labial ridge; lin.ridge; lingual ridge; mek.gro, Meckelian groove; PRA, prearticular; SUR, surangular. Scale bar = 50mm.
Figure 1 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 1. The current consensus for the phylogenetic relationships between extant sea turtles. The different colours represent the base of the groups in extant sea turtles. Redrawn from Duchene et al., 2012. Silhouettes redrawn from Jones et al. (2012).
Figure 5 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 5. Posterior view of the five genera of extant cheloniid sea turtles. Images are of surface files constructed in Avizo lite 8.0. A, Natator depressus (WAM R112123). B, Chelonia mydas (SAMA unregistered). C, Eretmochelys imbricata (WAM R120113). D, Lepidochelys olivacea (SAMA BM670). E, Caretta caretta (SAMA unregistered). Abbreviations: BO, basioccipital; EX, exoccipital; fn.po, fenestra postoticus; fr.mg, foramen magnum; fr.ner.hyp, foramen nervi hypoglossi; fs.te.su, fossa temporalis superior; OP, opsithotic; PR, prootic; PT, pterygoid; SQ, squamosal; SUP, supraoccipital. Scale bar = 50mm.
Evolutionary comparisons of Chelonid alphaherpesvirus 5 (ChHV5) Genomes from Fibropapillomatosis-afflicted green (Chelonia mydas), Olive ridley (Lepidochelys olivacea) and Kemp's ridley (Lepidochelys kempii) sea turtles
<p>The spreading global sea turtle fibropapillomatosis (FP) epizootic is threatening some of Earth's ancient reptiles, adding to the plethora of threats faced by these keystone species. Understanding this neoplastic disease and its likely aetiological pathogen, chelonid alphaherpesvirus 5 (ChHV5), is crucial to understand how the disease impacts sea turtle populations and species and the future trajectory of disease incidence. We generated 20 ChHV5 genomes, from three sea turtle species, to better understand the viral variant diversity and gene evolution of this oncogenic virus. We revealed previously underappreciated genetic diversity within this virus (with an average of 2035 single nucleotide polymorphisms (SNPs), 1.54% of the ChHV5 genome) and identified genes under the strongest evolutionary pressure. Furthermore, we investigated the phylogeny of ChHV5 at both genome and gene level, confirming the propensity of the virus to be interspecific, with related variants able to infect multiple sea turtle species. Finally, we revealed unexpected intra-host diversity, with up to 0.15% of the viral genome varying between ChHV5 genomes isolated from different tumours concurrently arising within the same individual. These findings offer important insights into ChHV5 biology and provide genomic resources for this oncogenic virus.</p>
Northern Gulf of Mexico Sea Turtle Behavior Videos
<p>Supplementary material of observed sea turtle behaviors at artificial habitats along the northern Gulf of Mexico</p>
Using minimum approach distance to quantify size-mediated sea turtle response behavior at artificial reefs in the northern Gulf of Mexico Video Files
<p>Supplementary video files of observed sea turtle behaviors in the northern Gulf of Mexico</p>
FIG. 2 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 2.—Schematic representation of the relationships between different nesting stages of Green Sea Turtles (Chelonia mŋdas). Solid lines indicate progression leading to a successful nesting attempt. Dashed lines represent variations that might result in abandoned nesting attempts prior to oviposition. Action patterns within each nesting stage are designated as follows: SQC ¼ simultaneous quadrupedal crawl; RFFSW ¼ rear flipper flick sweep; RFSW ¼ rear flipper sweep; FFSW ¼ front flipper sweep; RFFSC ¼ rear flipper flick scoop; RFK ¼ rear flipper knead.
FIG. 1 in An Ethogram Describing the Nesting Behavior of Green Sea Turtles (Chelonia mŋdas)
FIG. 1.—Illustrations of movements performed by nesting Green Sea Turtles (Chelonia mŋdas): (A) simultaneous rear and front flippers, (B) paired front flippers, (C) alternating rear flippers, (D) single left front flipper, (E) single right front flipper, (F) single left rear flipper, and (G) single right rear flipper. Diagrams modified from Eckert et al. (1999).
Adaptation of sea turtles to climate warming: will phenological responses be sufficient to counteract changes in reproductive output?
<p>README: Supplementary Information</p> <p> </p> <p>In this document, we list the supplementary material that supports our results and conclusions and we provide a description of what each file contains.</p> <p> </p> <p>Supplementary Tables</p> <p> </p> <p><strong>Supp. Info. Table S1: metadata</strong></p> <p>This file contains various information about the nesting sites studied, including their location and respective Regional Management Unit (RMU, as per Wallace, B. P., et al. 2010. "Regional management units for marine turtles: a novel framework for prioritizing conservation and research across multiple scales." PLoS One 5(12): e15465), the number of nesting seasons with nest count data and how monitoring is conducted, the number of temperature loggers deployed, their type and where they were placed in the clutch, hatchling measurements in terms of straight carapace length (SCL in mm), and whether data from the literature (incubation experiments at constant temperature) was available at the RMU level to estimate thermal tolerance curves (see the column labeled ‘hatching success lab. data for this RMU (literature)’) and sex ratio thermal reaction norms (see the column labeled ‘sex ratio lab. data for this RMU (literature)’).</p> <p>The file also summarizes the parameters used to reconstruct nest temperature following the method in Monsinjon, J. R., et al. (2019) "The climatic debt of loggerhead sea turtle populations in a warming world." Ecological Indicators 107: 105657: mean diel thermal amplitude in °C (daily maxima minus daily minima), average time of daily min. temperatures in decimal hours, average time of daily max. temperatures in decimal hours, number of days lagged with sea surface temperature (SST), number of days lagged with two-meter air temperature (T2M), GLM coefficient of the Intercept, GLM coefficient of the relationship with SST, GLM coefficient of the relationship with T2M, GLM coefficient of the relationship with the proportion of incubation time used to infer metabolic heating (MH), and standard deviation of the coefficients of the nests from the GLMM random effect used to estimate the thermal heterogeneity.</p> <p>IPCC regions from which predicted increases in air and sea temperatures were extracted are indicated along with the values extracted for the future changes in temperature (median). The settings selected to extract the warming scenarios from the online interface are given below:</p> <ul> <li>IPCC's atlas: https://interactive-atlas.ipcc.ch/regional-information</li> <li>Dataset = CMIP6 (Model projections)</li> <li>Variable = Mean temperature (T) and Sea Surface Temperature (SST) anomalies (change in deg C)</li> <li>Region set = WGI reference-regions (or Small islands for Tetiaroa, French Polynesia)</li> <li>Uncertainty = Advanced</li> <li>Baseline period = 1981-2010</li> <li>Future period = 2081-2100</li> <li>Season = Annual</li> <li>Scenario “Middle of the road” (SSP2-4.5): Approximately in line with the upper end of combined pledges under the Paris Agreement. The scenario “deviates mildly from a ‘no-additional climate-policy’ reference scenario, resulting in a best-estimate warming around 2.7°C by the end of the 21st century”.</li> </ul> <p>The remaining columns show the shift (number of days) in nesting phenology estimated for the IPCC regions according to seawater warming scenarios, and using either the mean or the extreme (max.) coefficient of the negative linear relationship between nesting dates and sea water temperature (using the literature data presented in <strong>Supp. Info. Table S6</strong>).</p> <p> </p> <p><strong>Supp. Info. Table S2: hatching success literature data</strong></p> <p>This file contains the literature data on hatching success from incubation experiments conducted at various constant temperatures. For each species, the Regional Management Unit (RMU) is specified.</p> <p> </p> <p><strong>Supp. Info. Table S3: mean temperature and hatching success</strong></p> <p>This file contains in-situ hatching success data and associated mean temperatures during the whole incubation period. Data are from the literature and the present study (refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes). Note that the nesting season is specified only for the present study.</p> <p> </p> <p><strong>Supp. Info. Table S4:</strong> <strong>sex ratio literature data</strong></p> <p>This file contains the literature data on sex ratio from incubation experiments conducted at various constant temperatures. For each species, the Regional Management Unit (RMU) is specified.</p> <p> </p> <p><strong>Supp. Info. Table S5: in situ hatching success</strong></p> <p>This file contains in-situ hatching success data measured at 19 of our 24 study sites encompassing the four species considered for this study: <em>Caretta caretta</em>, <em>Chelonia mydas</em>, <em>Eretmochelys imbricata</em>, and <em>Lepidochelys olivacea</em> (refer to <strong>Supp. Info Table S1</strong> for the 3-letter beach codes). When the number of eggs was not available, we calculated the number that hatched by multiplying the survival proportion by 100 and rounding the value. And we calculated the number of eggs that did not hatch by subtracting the number that hatched from 100.</p> <p> </p> <p><strong>Supp. Info. Table S6: phenological shifts</strong></p> <p>This file contains the literature data on the relationship between nesting dates and thermal environmental cues. The grey rows (*) indicate cases that were not considered because the study reported either non-significant relationships or positive relationships between the proxy for nesting phenology and the environmental cue (i.e., a delay of nesting dates with increasing temperatures instead of a shift earlier as assumed in the present study).</p> <p> </p> <p><strong>Supp. Info. Table S7: required phenological shifts earlier and later in the nesting season</strong></p> <p>This file contains the estimated required phenological shifts (number of days earlier or later in the season to stay within present-day conditions) and associated rates (number of days earlier or later per 1°C increase in sea surface temperature) that would be necessary to achieve required shifts. Rates were calculated by dividing the required shifts by projected increases in sea surface temperature at our sites (see <strong>Supp. Info. Table S1</strong>). Required shifts and rates were calculated for our indicators of incubation temperature (IT in column labels; phenological shifts required for the future median incubation temperature index to remain below the 75<sup>th</sup> percentile of current conditions), hatching success (HS in column labels; phenological shifts required for the future median hatching success index to remain above the 25<sup>th</sup> percentile of current conditions), and sex ratio (SR in column labels; phenological shifts required for the future median sex ratio index, in proportion of males, to remain above the 25<sup>th</sup> percentile of current conditions). NAs mean that no shift was found to remain within present-day conditions. Refer to <strong>Supp. Info Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Table S8: hatching success and sex ratio ranges per site</strong></p> <p>This file contains statistics (minimum, median, and maximum) on hatching success (HS in survival proportion) and sex ratio (SR in male proportion) for each study site, and the climate (SSP2-4.5) and phenology (no shift, mean shift, and max. shift) scenarios presented in the core manuscript. For each study site (see <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes in the first column), ranges are calculated between 2007-2020 for the present conditions and between 2059-2100 for the future conditions.</p> <p> </p> <p>Supplementary Figures</p> <p> </p> <p><strong>Supp. Info. Figure S1: hatching success and sex ratio reaction norms</strong></p> <p>This figure shows the hatching success and sex ratio thermal reaction norms estimated using literature data at controlled incubation temperatures (see data in <strong>Supp. Info. Table S2</strong> and <strong>Supp. Info. Table S4</strong>) for the four species considered here: <em>Caretta caretta</em>, <em>Chelonia mydas</em>, <em>Eretmochelys imbricata</em>, and <em>Lepidochelys olivacea</em>. Points are observations and error bars are their confidence intervals. Continuous lines are estimated curves with shades of grey being the confidence intervals. Reaction norms were fitted using data at the species-level (black) and the RMU-level (red) when available.</p> <p> </p> <p><strong>Supp. Info. Figure S2: output examples in 2018-2020</strong></p> <p>This figure shows five successive panels for each study site. In the first panel, we show reconstructed nest temperature without metabolic heating under present (black) and future (SSP2-4.5 in red) scenarios. The blue line shows the estimated pattern of nesting activity assuming no change in phenology and the purple and pink ones corresponds to those assuming a maximum shift (i.e., -18.85 d.°C<sup>-1</sup>) and a mean shift (i.e., -6.86 d.°C<sup>-1</sup>), respectively, in nesting dates under the SSP2-4.5 warming scenario (see median values in <strong>Supp. Info. Table S1</strong>). The following panels show the outputs for hatching success and sex ratio under the present and SSP2-4.5 climate scenarios. Information on the study sites is shown in the title (species, location, 3-letter beach codes).</p> <p> </p> <p><strong>Supp. Info. Figure S3: required shift for incubation temperature</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median incubation temperature index (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles) to remain below the 75<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S4: required shift for hatching success</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median hatching success index (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles) to remain above the 25<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S5: required shift for sex ratio</strong></p> <p>This figure shows the backward (earlier nesting) and forward (later nesting) phenological shifts required (vertical arrows) for the future median sex ratio index, in proportion of males (the black continuous line, with grey shaded areas representing the 25<sup>th</sup> and 75<sup>th</sup> percentiles), to remain above the 25<sup>th</sup> percentile of current conditions. The black rectangle represents the 25<sup>th</sup> and 75<sup>th</sup> percentiles of current conditions and the black point is the median. The red point shows the median of future conditions under the SSP2-4.5 warming scenario assuming no phenological shift, the blue point according to the mean phenological shift, and the green point according to the maximum phenological shift. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S6: incubation temperature fit quality for each site</strong></p> <p>This figure shows the predicted vs observed daily mean incubation temperatures (individually for each site). The grey dashed line is the line of equality, and the red line shows the orthogonal regression. Refer to <strong>Supp. Info. Table S1</strong> for the 3-letter beach codes.</p> <p> </p> <p><strong>Supp. Info. Figure S7: sensitivity analysis</strong></p> <p>This figure shows the differences in hatching success (survival proportion) and sex ratio (male proportion) when predicted using laboratory data (from constant temperature experiments found in the literature: see <strong>Supp. Info. Table S2 </strong>and <strong>Supp. Info. Table S4</strong>) either at the species level or at the Regional Management Unit (RMU) level. Differences are plotted for two climate scenarios (present and SSP2-4.5) and three phenology scenarios (no shift, mean shift, max. shift: see values in number of days shifted earlier in <strong>Supp. Info. Table S1</strong>). We considered only predictions for <em>Caretta caretta</em> (Cc in orange), <em>Eretmochelys imbricata</em> (Ei in yellow) and <em>Lepidochelys olivacea</em> (Lo in green). Data at the RMU level were not available at our study sites for <em>Chelonia mydas</em>. Black dashed lines represent the line of equality.</p> <p> </p>
Video data from pop-off camera deployments on green sea turtles in San Diego, California
Open the record for dataset details and reuse information.
Data from: Deepwater Horizon oil spill impacts on sea turtles could span the Atlantic
Open the record for dataset details and reuse information.
Data from: one shell of a problem: cumulative threat analysis of male sea turtles indicates high anthropogenic threat for migratory individuals and Gulf of Mexico residents
Open the record for dataset details and reuse information.
Data from: Assessing reliance on vector navigation in the long-distance oceanic migrations of green sea turtles
Open the record for dataset details and reuse information.
Data from: High rates of growth recorded for hawksbill sea turtles in Anegada, British Virgin Islands
Open the record for dataset details and reuse information.
Influence of sea turtle nesting on hunting behavior and movements of jaguars in the dry forest of northwest Costa Rica
Open the record for dataset details and reuse information.
Sick of attention: The effect of a stress-related disease on juvenile green sea turtle behaviour in the face of intense and prolonged tourism
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.