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.
56
datasets available to search
ShareScore release 0.9.0
Dataset results
56 results for “Orca”
Audio clips of Orca (Orcinus orca) and non-orca sounds for the exploration of multiple acoustic representations
<p>Data and code associated with "Comparing acoustic representations for deep learning-based classification of underwater acoustic signals: a case study on orca (Orcinus orca) vocalizations."</p> <p>A collection of 9600 audio clips recorded by a hydrophone off San Juan Island, WA, USA. The clips are 3 seconds in duration with a sampling rate of 64KHz, and contain a variety of orca vocalizations (in the srkw folder), as well as non-orca sounds, both humpbacks (hb folder) and unspecified sounds typical of the location (neg folder). </p> <p>The code for each of the representations used in this study is also included.</p>
EBEWOX - ORCA PBE/def2-SVP (RI) SP + QTAIM CPs
<p>ORCA [Neese, 2012] v3.0.3 input (.txt) and output (.out) for an UPBE [Perdew et al., 1996] computation with RI approximation and Kollmar's DIIS SCF convergence method [1996] on the EBEWOX (Cryptand(2.2.2))-rubidium electride [Cambridge Structural Database; original citation Xie et al., 2000]. Geometry (.xyz), ORCA-native wavefunction (.gbw), and ORCA's Molden wavefunction conversion (.molden) are also included.</p> <p>Primary basis set for Rb was the all-electron non-relativistic SVPall [Ahlrichs and May, 2000], with an auxiliary basis automatically generated by ORCA. Primary and auxiliary bases for all other atoms were def2-SVP [Schäfer et al., 1992; Eichkorn et al., 1997]. (Note: the citation for SVPall is incorrect in the .txt file.)</p> <p>The image (.png) shows the system geometry with critical points and (3,-3)--(3,-1) line paths from MultiWFN v3.3.7 [Lu and Chen, 2012]. Red arrows mark critical points that disappear in computations with a single additional diffuse function added to the Rb atom [doi:10.5281/zenodo.20644].</p>
EBEWOX - ORCA PBE/def2-SVP +diffuse Rb (RI) SP + QTAIM CPs
<p>ORCA [Neese, 2012] v3.0.3 input (.txt) and output (.out) for an UPBE [Perdew et al., 1996] computation with RI approximation and Kollmar's DIIS SCF convergence method [1996] on the EBEWOX (Cryptand(2.2.2))-rubidium electride [Cambridge Structural Database; original citation Xie et al., 2000]. Geometry (.xyz), ORCA-native wavefunction (.gbw), and ORCA's Molden wavefunction conversion (.molden) are also included.</p> <p>Primary basis set for Rb was the all-electron non-relativistic SVPall [Ahlrichs and May, 2000], with an auxiliary basis automatically generated by ORCA. The Rb basis was augmented with single additional s and p diffuse functions per the 'minimal augmentation' approach of Zheng et al. (2011). Primary and auxiliary bases for all other atoms were def2-SVP [Schäfer et al., 1992; Eichkorn et al., 1997]. (Note: the citation for SVPall is incorrect in the .txt file.)</p> <p>The image (.png) shows the system geometry with critical points and (3,-3)--(3,-1) line paths from MultiWFN v3.3.7 [Lu and Chen, 2012]. The (3,+1) and (3,+3) critical points marked with red arrows in the dataset without the Rb diffuse functions [doi:10.5281/zenodo.20639] are absent from these results.</p>
Figure 5 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 5. Global phylogenetic trees of killer whales based on (a) haplotypes from 452 mitogenomes and (b) 49 nuclear genome sequences. Reprinted with permission from Morin et al. [15] (figure 2; by permission from John Wiley & Sons, licence 5458310335802) and [9] (electronic supplementary material, figure S3b, by permission from Andrew D. Foote). Black branches in (a) lead to haplotypes that are from animals that have not been identified to ecotype (see electronic supplementary material, table S1 from [15]).
Figure 3 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 3. PCA plot of first two principal components based on (a) 88 SNPs: offshore (n = 3), resident (n = 11), Bigg's (n = 30) from data in Morin et al. [15]; (b) 26 microsatellites: offshore (n = 5), resident (n = 250), Bigg's (n = 116) (samples genotyped at ≥20 loci) [56]; unpublished); (c) 3678 RADseq SNPs: offshore (n = 7), resident (n = 52) and Bigg's (n = 37) populations [57,62]; (d) 1 00 000 (subset from 6 371 282) SNPs from 147 high-coverage genomes of offshore (n = 7), Bigg's (n = 14) and resident (n = 126) samples from multiple geographically and behaviourally defined subpopulations (Alaska, northern and southern resident populations) (based on subset of SNP genotype data from [113]. See Supplementary Materials for methods and data set information.
Figure 7 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 7. Photographs of neotype skulls for (a) Orcinus rectipinnus (USNM 594671) and (b) Orcinus ater (USNM 594672).
Figure 1 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 1. Expected range maps for (a) resident and (b) Bigg's killer whales, including locations of samples used for mitogenome analysis (figure 5a, resident n = 106, Bigg's n = 93) [15]. Distribution ranges have been inferred based on published identifications of individuals that are identified by ecotype [48–53]. Sample distributions cover the known ranges of both ecotypes, with the exception of residents of Oregon and northern California, and both ecotypes off northern Japan (Hokkaido) in the western Pacific [48,54]. Sample maps for microsatellite data are in electronic supplementary material, figure S2.
Figure 8 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 8. Vertical images of (a) an adult male Bigg's killer whale (BKW) from the West Coast Transient population of Bigg's killer whales and (b) an adult male resident killer whale (RKW) from the sympatric Southern Resident population of resident killer whales. Images are scaled to the estimated asymptotic lengths of 7.3 m [20] and 6.9 m [145], respectively. Vertical images were collected using an octocopter drone using methods described by Durban et al. [146], provided by John Durban and Holly Fearnbach.
Figure 6 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 6. Illustrations of (a) O. ater and (b) O. rectipinnus from Scammon [138,140]. These illustrations were likely made by Scammon, or made under his guidance from his field notes and sketches. Whether they represent renderings of specific specimens, or composite sketches, is unknown.
Figure 2. Canonical variate 1 and 2 in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 2. Canonical variate 1 and 2 plots for cranial shape features that distinguish among ecotypes for (a) skull morphology (resident (n = 17), Bigg's (n = 13) and offshore (n = 6)) and (b) dentary bone morphology (resident (n = 21), Bigg's (n = 12) and offshore (n = 8) specimens) (reprinted from [103]).
Figure 4. Structure assignment probability plots for K in Revised taxonomy of eastern North Pacific killer whales ( Orcinus orca ): Bigg's and resident ecotypes deserve species status
Figure 4. Structure assignment probability plots for K = 3 groups from (a) 26 microsatellites: offshore (n = 5), resident (n = 250), Bigg's (n = 116) samples genotyped at ≥ 20 loci) (56; unpublished); (b) 3340 RADseq SNPs (polymorphic in sample set): offshore (n = 7), resident (n = 52) and Bigg's (n = 37) populations [57,62]. Vertical bars represent the individual assignment probability for each group inferred by Structure (groups identified by shading), with samples sorted by a priori ecotype assignment. See electronic supplementary material for methods and data set information.
CausalOrca: An ORCA-based Diagnostic Dataset for Causally-aware Multi-agent Trajectory Prediction
<p>CausalOrca is a synthetic diagnostic dataset created through controlled simulations. It is designed to provide annotations of ground-truth causal effects and fine-grained agent categories for social interactions in multi-agent scenarios. The dataset is constructed using a modified RVO2 simulator and incorporates the ORCA optimization-based collision avoidance algorithm known for crowd simulation. With full control over scene configurations, the dataset enables the collection of motion behaviors in paired scenes before and after agent removal, generating a large set of counterfactual pairs with annotations of ground-truth causal effects. CausalOrca can serve as a valuable resource for studying and developing causally-aware neural representations of social interactions and trajectory prediction models. Please see the <a href="https://github.com/rebuttal-anonymous/causalorca">GitHub repository</a> for a more detailed description of the dataset, including dataset statistics and documentation on how to use, visualize, and generate the data.</p>
Data from: Revised age estimates for Northern Resident killer whales (Orcinus orca) based on observed life-history events and demographic discounting
Open the record for dataset details and reuse information.
Computation Time, Searched Nodes and Path Length for Navigation Using Improved A-Star, Directional ORCA and FLC-ORCA
<p>Naivation simulation using Improved A*, Directional ORCA and Novel FLC-ORCA method. The computational times, searched nodes and path length are recorded for comparison. A simulation study for Robotic Navigation Aid (RNA)</p>
Table 1 in Revised taxonomy of eastern North Pacific killer whales (Orcinus orca): Bigg's and resident ecotypes deserve species status
<p><b>Table 1.</b> Measures of differentiation, divergence and diagnosability based on nuclear microsatellite and SNP data. All frequency-based metrics (FST, F’ST, G’ST) were significantly different from zero at p <0.05.</p><table><tbody><tr><th>divergence metric</th><th></th><th>reference</th></tr></tbody><tbody><tr><th>dA (CR)</th><td>0.007 46a</td><td>[114]</td></tr><tr><th>dA (mitogenome)</th><td>0.003 91b</td><td>[114]</td></tr><tr><th>FST (microsatellite)</th><td>0.21–0.23</td><td>[56,85]</td></tr><tr><th>F’ST (microsatellite)</th><td>0.47</td><td>[56]</td></tr><tr><th>G’ST (microsatellite)</th><td>0.28</td><td>[56]</td></tr><tr><th>FST (SNP)</th><td>0.28</td><td>[15]</td></tr><tr><th>F(RADseq, neutral)c ST</th><td>0.27</td><td>[58]</td></tr><tr><th>F(RADseq, selected)c ST</th><td>0.67</td><td>[58]</td></tr><tr><th>FST (genomes)</th><td>0.32</td><td>[9] (electronic supplementary material, table S2)</td></tr><tr><th>diagnosability (CR)</th><td>100%</td><td>[114]</td></tr><tr><th>diagnosability (mitogenome)</th><td>100%</td><td>[114]</td></tr><tr><th>fixed differences (mitogenome)</th><td>57</td><td>[7]</td></tr><tr><th>fixed differences (3281 nuclear SNPs)</th><td>2–7</td><td>[58]</td></tr><tr><th>fixed differences (6 435 100 nuclear SNPs)</th><td>6361d</td><td>[113]</td></tr></tbody></table><p>a 95% confidence interval:0.00727–0.00772. b 95% confidence interval: 0.00388–0.00393. c Alaska transients (Bigg’s) versus Alaska residents. d Based on analysis of raw SNP data from Kardos et al. [113].</p>
Potential new species of pseudaliid lung nematode (Metastrongyloidea) from two stranded neonatal orcas (Orcinus orca) characterised by ITS-2 and COI sequences
<p class="MsoNormal"><span>Knowledge about parasite species of orcas, their prevalence and impact on the health status is scarce. Only two records of lungworm infections in orca exist from male neonatal orcas stranded in Germany and Norway. The nematodes were identified as <em>Halocercus</em> sp. (Pseudaliidae), which have been described in the respiratory tract of multiple odontocete species, but morphological identification to species level remained impossible due to the fragile structure and ambiguous morphological features. Pseudaliid nematodes (Metastrongyloidea) are specific to the respiratory tract of toothed whales and are hypothesized to have become almost extinct in terrestrial mammals. Severe lungworm infections can cause secondary bacterial infections and bronchopneumonia and are a common cause of mortality in odontocetes. DNA isolations and subsequent sequencing of the rDNA ITS-2 and mtDNA COI revealed nucleotide differences between previously described <em>Halocercus</em> species from common dolphin (<em>H. delphini</em>) and harbour porpoises (<em>H. invaginatus</em>) that were comparatively analysed, pointing towards a potentially new species of pseudaliid lungworm in orcas. New COI sequences of six additional metastrongyloid lungworms of seals and porpoises were derived to elucidate phylogenetic relationships and differences between nine species of Metastrongyloidea.</span></p>
ORCA Seamount Data 2023
<p>Morphological dataset covering 323 ORCA seamounts made from multibeam bathymetry data acquired from ORCA expeditions in 2019/2020.</p>
ORCA: Opportunities to Raise Cancer Awareness After Referral: Survey of Patient Views
ClinicalTrials.gov study NCT05479851. IPD Sharing: YES. Countries: 1. Publications: 3.
Precision-T: A Randomized Study of Orca-T in Recipients Undergoing Allogeneic Transplantation for Hematologic Malignancies
ClinicalTrials.gov study NCT05316701. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from:The foe you know: Observations of interspecific interactions between small cetaceans and northern resident killer whales (Orcinus orca) in the northeast Pacific
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.