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1,167 results for “whale”

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edi52/100

Journey North - Gray Whale observations by volunteer community scientists across the Eastern Pacific Ocean (1997-2020)

This data package contains Gray Whale migration data consisting of 1,546 total observational reports from 1997 - 2020 across the Eastern Pacific Ocean. These data were collected by 163 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Gray Whale Project is a study of Gray Whale phenology conducted at broad spatial and temporal scales. Since 1997, community scientists have tracked the migration of Gray Whales (Eschrichtius robustus) through the Eastern Pacific Ocean. Observers also provide estimates of the number of whales sighted. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day, do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate presence not abundance. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Gray Whale Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.

openCC (other)Aug 2022View details →
zenodo48/100

DAS4Whale: Svalbard distributed acoustic sensing dataset for baleen whale monitoring

<p>&nbsp;</p> <p>&nbsp;</p> <p>This dataset aims to support the work presented in</p> <blockquote> <p>Bouffaut, L., Taweesintananon, K., Kriesell, H. J., R&oslash;rstadbotnen, R. A., Potter, J. R., Landr&oslash;, M., Johansen, S. E., Brenne, J. K., Haukanes, A., Schjelderup, O., &amp; Storvik, F. (2022). Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic. Frontiers in Marine Science, 9, 901348.&nbsp;<a href="https://doi.org/10.3389/fmars.2022.901348">https://doi.org/10.3389/fmars.2022.901348</a>.</p> </blockquote> <p>It contains recordings from a dark fiber optic (FO) cable converted into a distributed acoustic sensing (DAS) array of 120km long spreading from Longyearbyen, Svalbard, Norway, out to the open ocean, through Isfjorden. <a href="https://www.frontiersin.org/files/Articles/901348/fmars-09-901348-HTML/image_m/fmars-09-901348-g002.jpg">This DAS array</a>, measuring nano strain, was spatially sampled every ~4m and had a sampling frequency of 645.16 Hz, generating data stored into spatio-temporal matrices.&nbsp;</p> <p>The exact position of the FO cable is proprietary information belonging to Uninett. The space component is therefore given as a vector in &ldquo;channel number&rdquo; (sensing node number along the FO cable) and distance from the shore station (m).</p> <p>The data necessary to produce each manuscript example is saved into multiple files corresponding to subsequent groups of channels along the FO cable, to facilitate storage and sharing. The file naming system satisfies the following: Date in the format <em>YYYYMMDD</em>, UTC time at the beginning of the file, channels, whale_raw, duration of the file L<em>xx</em>s, all separated by underscores &ldquo;_&rdquo;. Data is shared as *.mat file saved in HDF format and readable in different programming languages. For example&nbsp;</p> <ul> <li>in <a href="https://www.mathworks.com/help/matlab/ref/load.html">Matlab</a>&nbsp; <pre><code>load('20200627_052441_ch08751_to_ch10000_whale_raw_L160s.mat')</code></pre> <p>&nbsp;</p> </li> </ul> <ul> <li>in <a href="http://https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html#scipy.io.loadmat">Python</a> <pre><code>scipy.io.loadmat('20200627_052441_ch08751_to_ch10000_whale_raw_L160s.mat')</code></pre> <p>&nbsp;</p> </li> </ul> <p><strong>Each file contains the following variables</strong></p> <ul> <li><em>data: </em>The DAS-recorded nano strain data</li> <li><em>info_GL_m:</em> Used gauge length (m)</li> <li><em>info_nsamples</em>: Number of temporal samples in the file</li> <li><em>info_ntraces</em>: Number of spatial samples (channels) in the file</li> <li><em>info_sample_interval_s</em>: Sampling period (s)</li> <li><em>info_sampling_frequency_Hz</em>: Sampling frequency (Hz)</li> <li><em>info_SSI_m</em>: Spatial sampling interval (m)</li> <li><em>info_timestamp</em>: Date and time (UTC) of the first sample</li> <li>info_units: Global unit information</li> <li><em>x1_absolute_channel</em>: Vector containing the absolute channel number</li> <li><em>x1_distance_from_shore_m</em>: Vector containing the distance along the FO cable from shore (m)</li> <li><em>x1_position_m</em>: Vector containing the distance along the FO cable from the interrogator (m)</li> <li><em>x1_recwdepthz_m</em>: Vector containing the water column depth used as a proxy for the fiber optic cable depth at each sensing location (m)</li> <li><em>x1_relative_channel</em>: Vector containing the channel number</li> <li><em>x2_time_s</em>: Time vector (s)</li> </ul> <p>&nbsp;</p> <p><strong>List of the files and related manuscript examples</strong></p> <p>Example of at least 3 vocalizing baleen whales recorded simultaneously at three different locations along the Svalbard fiber optic DAS array &nbsp;-&nbsp;Figure 4 in Bouffaut et al. (2022) - between 35-95 km and on 2020-06-26 between 052440-052720 UTC</p> <ul> <li><em>20200627_052441_ch08751_to_ch10000_whale_raw_L160s.mat</em> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</li> <li><em>20200627_052441_ch10001_to_ch15000_whale_raw_L160s.mat</em> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</li> <li><em>20200627_052441_ch15001_to_ch20000_whale_raw_L160s.mat</em>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</li> <li><em>20200627_052441_ch20001_to_ch25000_whale_raw_L160s.mat</em> &nbsp;</li> </ul> <p>Example of<strong>&nbsp;</strong>series of blue whale calls recorded with a move out on the Svalbard DAS array - &nbsp;Figure 5 &amp; &amp;B&nbsp;in Bouffaut et al. (2022) -&nbsp;between 85-90 km and on 2020-07-16 between 154300-155500 UTC</p> <ul> <li><em>20200716_154302_ch20001_to_ch21000_whale_raw_L720s.mat &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</em></li> <li><em>20200716_154302_ch21001_to_ch22000_whale_raw_L720s.mat &nbsp;</em></li> <li><em>20200716_154302_ch22001_to_ch23000_whale_raw_L720s.mat</em></li> <li><em>20200716_154302_ch23001_to_ch24000_whale_raw_L720s.mat</em></li> <li><em>20200716_154302_ch24001_to_ch25000_whale_raw_L720s.mat</em></li> </ul> <p>Example of a blue whale non-stereotyped call recorded inside Isfjorden and further used to provide&nbsp;correlated seismic profiles -&nbsp;Figure 6A&nbsp;n Bouffaut et al. (2022) -&nbsp;between 23-28 km on 2020-06-27 between 192255-192805 UTC</p> <ul> <li><em>20200627_192255_ch05001_to_ch07000_whale_raw_L310s.mat &nbsp; &nbsp; &nbsp; &nbsp;</em></li> <li><em>20200627_192255_ch07001_to_ch08500_whale_raw_L310s.mat&nbsp;</em></li> </ul> <p><strong>--------------</strong></p> <p><strong>Analysis tools&nbsp;</strong></p> <p>To&nbsp;reproduce the paper&#39;s result, we suggest using the following Python package&nbsp;available on <a href="https://github.com/leabouffaut/DAS4Whales">GitHub</a>:</p> <blockquote> <p>L&eacute;a Bouffaut (2023). DAS4Whales: A Python package to analyze Distributed Acoustic Sensing (DAS) data for marine bioacoustics (v0.1.0). Zenodo.&nbsp;<a href="https://doi.org/10.5281/zenodo.7760187">https://doi.org/10.5281/zenodo.7760187</a></p> </blockquote> <p>Here is an example of the use of the DAS4Whales package with this dataset&#39;s data format:&nbsp;<a href="https://gist.github.com/leabouffaut/b42ec74e2cee880877bfc4c94e81bdaa">https://gist.github.com/leabouffaut/b42ec74e2cee880877bfc4c94e81bdaa</a></p> <p><strong>--------------</strong></p> <p><strong>Please cite as&nbsp;</strong></p> <blockquote> <p>L&eacute;a Bouffaut and Kittinat Taweesintananon, &ldquo;DAS4Whale: Svalbard distributed acoustic sensing dataset for baleen whale monitoring&rdquo;. Zenodo, Jan. 10, 2022. doi: <a href="https://doi.org/10.5281/zenodo.7760187">https://doi.org/</a><a href="https://doi.org/10.5281/zenodo.5823343">10.5281/zenodo.5823343</a>.</p> </blockquote> <p><strong>--------------</strong></p> <p><strong>Contact</strong></p> <p><a href="mailto:lb736@cornell.edu">Contact</a>&nbsp;|&nbsp;<a href="https://www.birds.cornell.edu/ccb/lea-bouffaut/">Webpage</a>&nbsp;|&nbsp;<a href="https://twitter.com/LeaBouffaut">Twitter</a></p>

opencc-by-4.0Jan 2022View details →
zenodo48/100

Underwater sounds, including killer whale and humpback whale vocalizations, recorded in northern Norway in January 2023

<p>Dataset of underwater acoustic recordings obtained during the expedition &ldquo;Orcalize&rdquo; that took place in Skjerv&oslash;y in northern Norway from 29<sup>th</sup> December 2022 till 6<sup>th</sup> January 2023. The data contains vocalizations from killer whales and songs from humpback whales which gather in the local fjords during the winter months to feed on herring. We recorded in the band of 20 Hz &ndash; 60 kHz with calibrated hydrophones arranged in a compact tetrahedral array that we deployed over board of a motorboat.&nbsp;In total we provide 16&nbsp;files of continuous recordings with duration from several minutes &nbsp;to over one hour. The total dataset is about 7 hours 37 minutes long and the memory size is 62.8 GB. See the file info.pdf for more information.</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

MALDI-TOF-MS spectra of historical whale skeletons from the Museum of Zoology, Strasbourg

<p>Spectra data from historical whale skeletons from the Museum.&nbsp; Samples were&nbsp;acid demineralized&nbsp;followed by gelatinization, digestion with&nbsp;trypsin, and peptide purification on C18 filters.&nbsp; They were run on on Bruker autoflex MALDI-TOF-MS.&nbsp; Mzml file formats for the raw data are provided here along with a file information csv file which provides the identification of the samples.<br> <br> For more information see the associated publciation.</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Survival, fecundity and reproductive tissue data from false killer whales (Pseudorca crassidens)

<p>These data come from specimens from false killer whales from combined strandings (South Africa, 1981) and harvest (Japan 1979-80). The South African material was collected from 65 false killer whales that stranded en masse on the west coast of the Western Cape Province. Scientists reached the site two days after the stranding event was reported, so the material was not fresh and fixation of tissue samples was suboptimal. Data are available from 41 (including 32 mature) females. The Japanese material (96 females, 57 mature) originated from 6 schools harvested during shore-drive fisheries operations at Iki Island. In each case, as many false killer whales as possible were randomly examined. Data presented here come from 91 females if which 89 were mature. The Japanese and South African data were combined to estimate survival, but fecundity information is available for each separately. These data are associated with the following publication: Theoni Photopoulou, Ines M. Ferreira, Peter B. Best, Toshio Kasuya and Helene Marsh. 2017. Evidence for a postreproductive phase in female false killer whales <em>Pseudorca crassidens. </em>Frontiers in Zoology. 14:30. DOI 10.1186/s12983-017-0208-y</p>

opencc-by-4.0Apr 2017View details →
zenodo44/100

Diverse baleen whale acoustic occurrence around two sub-Antarctic Islands: A tale of residents and visitors

<p>This dataset contains the acoustic .wav file of all exemplar calls illustrated by the spectrograms in the manuscript figure, MS Excel Spreadsheet file with baleen whale call occurrence and environmental data, and the R code used for fitting the RF models. R codes must be run in the following manner:</p> <p>1. 01_tune_occ_enviro_rf_model_balance_baleen_whales</p> <p>2. 02_process_occ_enviro_rf_model_balance_baleen_whales</p> <p>The codes are self-explanatory given the comments contained therein, and the source code for fitting the codes is provided as 000_source_all.</p>

opencc-by-4.0Mar 2024View details →
zenodo44/100

A right whale (Mysticeti, Balaenidae) from the Pleistocene of Taiwan

<p>Abstract</p> <p>Current patterns of biological distribution result from the deep past. Of particular interest, some closely related species appear at high latitudes of both hemispheres, but not in between, a pattern known as antitropical distribution. However, the timing, pathway, and drivers of antitropical distributions remain mostly unknown. Here we describe a new fossil, a left tympanic bulla (part of the ear bones), from the Middle/Late Pleistocene (0.78&ndash;0.01 mya, but not excluding the possibility of Holocene in age, as the specimen was dredged from the sea bottom and the geological horizon remains uncertain) of Taiwan. The tympanic bulla is diagnostic in baleen whales, and this specimen shows morphological features that are identical to extant&nbsp;<em>Eubalaena</em>, including: relatively large size (the anteroposterior length is 117&thinsp;mm); rectangular outline in medial view; short anterior lobe, judging from the remaining of the lateral furrow; squared anterior margin; prominent transverse crease on the involucrum; transversely compressed in anterior view; well-developed and rounded outer lip; and parallel involucral and main ridges. Although incomplete, the morphological characters and overall similarity to extant&nbsp;<em>Eubalaena</em>&nbsp;allow a reliable taxonomic assignment to&nbsp;<em>Eubalaena</em>&nbsp;sp. The occurrence of a Pleistocene&nbsp;<em>Eubalaena</em>&nbsp;on the southern margin of the western North Pacific is the first balaenid fossil evidence indicative of the biotic interchange between two hemispheres leading to the origin of antitropical distribution in the Pleistocene; alternatively, this specimen might merely represent an extra-limital record of the North Pacific&nbsp;<em>Eubalaena</em>. Furthermore, this find suggests that the&nbsp;<em>Eubalaena</em>&nbsp;interchange, being one of the largest species displaying antitropical distribution pairs in the history of life, likely took place along the western Pacific. Notably, this does not preclude the&nbsp;<em>Eubalaena</em>&nbsp;interchange from other routes, such as the eastern Pacific or the Atlantic Ocean, and future finds should test the scenario for the biotic interchange between Northern and Southern Hemispheres of&nbsp;<em>Eubalaena</em>.</p>

opencc-by-4.0Sep 2019View details →
zenodo44/100

Evolution of the recombination regulator PRDM9 in minke whales

<p>This data repository contains data and protocols for the manuscript: Evolution of the recombination regulator PRDM9 in minke whales</p>

openmit-licenseDec 2020View details →
edi44/100

Santa Barbara Channel Marine BON: Gray Whales Count

This dataset documents the passage of gray whales (Eschrichtius robustus) migrating northbound since 2007, through the nearshore areas of the Santa Barbara Channel, along a corridor extending approximately 3 nautical miles (nm) from the mainland shore. The data is collected by a non-profit organization Gray Whales Count (http://www.graywhalescount.org/GWC/The_Count/The_Count.htmt), which is a research and education project. The survey is conducted at the Coal Oil Point Reserve in Goleta, California, USA. The coastline runs east-west, with northbound whales traveling west, left to right across our Point towards Point Conception. Every year, we survey 98 consecutive days from early February through mid-May. Conditions permitting, each survey-day begins at 9 AM and ends usually at 5 PM.

openCC (other)Mar 2020View details →
zenodo40/100

FIG. 2. — Oil painting from a in The wonder whale: a commodity, a monster, a show and an icon

FIG. 2. — Oil painting from a private collection depicting the shore-based sperm-whaling off the Azores (19 th century). Photo by the authors.

opencc-zeroFeb 2019View details →
zenodo40/100

FIG. 1 in The wonder whale: a commodity, a monster, a show and an icon

FIG. 1. — Beached fin whale (Balaenoptera physalus (Linnaeus, 1758)) in Parede (nearby Lisbon, Portugal), January 2016. Photo by Inês Carvalho.

opencc-zeroFeb 2019View details →
zenodo40/100

FIG. 5 in The wonder whale: a commodity, a monster, a show and an icon

FIG. 5. — "There are two whales in this watercolour. One, its tail raised, is diving. The back of the second is indicated by a long, curved pencil line below the tail of the first. A harpoon appears to have struck one of them, for the sea is stained red with blood." A Harpooned Whale (1845) by Joseph Mallord William Turner (1775–1851), part of Ambleteuse and Wimereux Sketchbook. © Tate Collection, CC-BY-NC-ND 3.0 (Unported). http://www.tate.org.uk/art/artworks/turner-aharpooned-whale-d35391, last consultation: 16/01/2019.

opencc-zeroFeb 2019View details →
dryad40/100

Genetic diversity and connectivity of southern right whales (Eubalaena australis) found in the Brazil and Chile–Peru wintering grounds and the South Georgia (Islas Georgias del Sur) feeding ground

<p></p><p>As species recover from exploitation, continued assessments of connectivity and population structure are warranted to provide information for conservation and management. This is particularly true in species with high dispersal capacity, such as migratory whales, where patterns of connectivity could change rapidly. Here we build on a previous long-term, large-scale collaboration on southern right whales (Eubalaena australis) to combine new (nnew) and published (npub) mitochondrial (mtDNA) and microsatellite genetic data from all major wintering grounds and, uniquely, the South Georgia (Islas Georgias del Sur: SG) feeding grounds. Specifically, we include data from Argentina (npub mtDNA/microsatellite = 208/46), Brazil (nnew mtDNA/microsatellite = 50/50), South Africa (nnew mtDNA/microsatellite = 66/77, npub mtDNA/microsatellite = 350/47), Chile–Peru (nnew mtDNA/microsatellite = 1/1), the Indo-Pacific (npub mtDNA/microsatellite = 769/126), and SG (npub mtDNA/microsatellite = 8/0, nnew mtDNA/microsatellite = 3/11) to investigate the position of previously unstudied habitats in the migratory network: Brazil, SG, and Chile–Peru. These new genetic data show connectivity between Brazil and Argentina, exemplified by weak genetic differentiation and the movement of 1 genetically identified individual between the South American grounds. The single sample from Chile–Peru had an mtDNA haplotype previously only observed in the Indo-Pacific and had a nuclear genotype that appeared admixed between the Indo-Pacific and South Atlantic, based on genetic clustering and assignment algorithms. The SG samples were clearly South Atlantic and were more similar to the South American than the South African wintering grounds. This study highlights how international collaborations are critical to provide context for emerging or recovering regions, like the SG feeding ground, as well as those that remain critically endangered, such as Chile–Peru.</p><p></p>

opencc-zeroSep 2020View details →
dryad40/100

Exploring variability in the diet of depredating sperm whales in the Gulf of Alaska through stable isotope analysis

Sperm whales interact with commercially important groundfish fisheries offshore in the Gulf of Alaska (GOA). This study aims to use stable isotope analysis to better understand the trophic variability of sperm whales and their potential prey, and to use dietary mixing models to estimate the importance of prey species to sperm whale diets. We analyzed tissue samples from sperm whales and seven potential prey (five groundfish and two squid species). Samples were analyzed for stable carbon and nitrogen isotope ratios, and diet composition was estimated using Bayesian isotopic mixing models. Mixing model results suggest that an isotopically combined sablefish/dogfish group, skates, and rockfish make up the largest proportion of sperm whale diets (35%, 28% and 12%) in the GOA. The top prey items of whales that interact more frequently with fishing vessels consisted of skates (49%) and the sablefish/dogfish group (24%). This is the first known study to provide an isotopic baseline of adult male sperm whales and these adult groundfish and offshore squid species, and to assign contributions of prey to whale diets in the GOA. This study provides information to commercial fishermen and fisheries managers to better understand trophic connections of important commercial species.

opencc-zeroJan 2020View details →
zenodo40/100

Dataset from Annual Acoustic Presence of Fin Whale (Balaenoptera physalus) Offshore Eastern Sicily, Central Mediterranean Sea

<p>This dataset is form the study:&nbsp;</p> <p>Sciacca V., Caruso F.,Beranzoli L., Chierici F., De Domenico E., Embriaco D., Favali P., Giovanetti G., Larosa G., Marinaro G., Papale E., Pavan G., Pellegrino C., Pulvirenti S., Simeone F., Viola S., and G. Riccobene. &quot;Annual Acoustic Presence of Fin Whale (<em>Balaenoptera physalus</em>) Offshore Eastern Sicily, Central Mediterranean Sea.&quot;&nbsp;PLoS ONE 10(11): e0141838. doi:10.1371/journal.pone.0141838</p> <p>The archives labeled YYYYMM_Spectrograms.zip contain the data from each &nbsp;month of passive acoustic&nbsp;recording -MM-&nbsp;of the years -YYYY- 2012 and 2013. Data consist&nbsp;of the spectrograms (1-50 Hz) of 10-min audio recordings, in PNG format files. These data were used in the cited study&nbsp;to verify the presence of fin whale calls.</p> <p>The archive labeled &quot;NoiseData.zip&quot; consists of two matrix (ASCII format)&nbsp;containing the recorded values of acoustic noise within the fin whale call frequency band.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2015View details →
zenodo40/100

Catalogue of Arctic Toothed Whale Click Spectra and Spectrograms from SoundTrap Recordings

<p>This supplementary file accompanies a research article focused on beluga and narwhal echolocation click classification. This document provides an overview of the data included in all beluga and narwhal acoustic events (each 1 hour) from SoundTrap recordings collected at the Kong Oscar and Fisher Islands mooring sites. There are two figures for each event: (1) concatenated click spectrogram, and (2) mean power spectrum for all detections within the event. Summary statistics are provided for each event showing the number of detections and the one-third octave level (TOL) ratio in decibels (dB) between selected TOL bands. Visual inspection of the enclosed figures demonstrates clear differences between beluga and narwhal click spectra.</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

FIG. 7 in A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna

FIG. 7. — Cranium of Diaphorocetus poucheti (Moreno, 1892) MLP 5-6 (holotype) in dorsal (A), ventral (B), right lateral (C), and posterior (D) views, illustrating among others some diagnostic characters at the genus and species levels. The figured photos were taken by one of us (CM) in 1981, with a preservation state that is closer to the original illustrations in Lydekker (1893), prior to the separation of the right and left rostral parts and pterygoids/palatines from the neurocranium and with more complete antorbital notches and right orbit. Scale bar: 200 mm.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 4FIG. 4 in A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna

FIG. 4FIG. 4. — Cranium of Diaphorocetus ortegai n. sp. MUSM 3246 (holotype, Chilcatay Formation, East Pisco Basin, Peru) in left (A) and right (B) lateral views. Black dashed lines for sutures, foramina, and outline of several bones and temporal fossa; red dashed line for posterior outline of supracranial basin. Scale bar: 200 mm.

opencc-zeroNov 2023View details →
zenodo40/100

FIG. 1 in A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna

FIG. 1. — Geographic and geological setting. A, Location of the main outcrops of the Chilcatay Formation along the southern coast of Peru. B, Simplified map providing the position of Ullujaya (the type locality of Diaphorocetus ortegai n. sp.) alongside other highly fossiliferous sites of the Ica desert (including Zamaca, the type locality of Rhaphicetus valenciae Lambert, Muizon, Urbina &amp; Bianucci, 2020). C, Schematic stratigraphic column of the Cenozoic succession exposed in the East Pisco Basin. D, Simplified stratigraphic section of the Chilcatay Formation in Ullujaya, showing the exact position of the holotype of D. ortegai n. sp. in the Ct1 allomember, Ct1a facies association. E, Simplified stratigraphic section of the Chilcatay Formation in Zamaca, showing the exact position of the holotype of R. valenciae in the Ct1 allomember, Ct1a facies association. Both sections D and E include positions of ash layers dated with 40Ar/39Ar and shell-rich beds dated with 87Sr/86Sr along with the corresponding age estimates (after Bosio et al. 2022). Maps and sections modified from Bianucci et al. (2018b), Di Celma et al. (2018, 2019), Bosio et al. (2020, 2022), and Lambert et al. (2020).

opencc-zeroNov 2023View details →
zenodo40/100

APPENDIX 5 in A new platyrostrine sperm whale from the Early Miocene of the southeastern Pacific (East Pisco Basin, Peru) supports affinities with the southwestern Atlantic cetacean fauna

APPENDIX 5. — Strict consensus of 15 most parsimonious trees resulting from the heuristic search performed with down-weighting of homoplastic characters (k = 3). Tree length 188; Goloboff fit -42.64; CI 0.45; RI 0.68.

opencc-zeroNov 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record