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.
622
datasets available to search
ShareScore release 0.7.1
Dataset results
622 results for “macaque”
TheVirtualBrain Macaque MRI
Open the record for dataset details and reuse information.
Two-probe macaque monkey auditory LFP
<p>Dataset accompanying paper Klein, N., Siegle, J.H., Teichert, T., Kass, R.E. (2021) "Cross-population coupling of neural activity based on Gaussian process current source densities". </p> <p>Auditory local field potential (LFP) recordings and evoked multi-unit activity (MUA) from two 24-electrode linear probes (V-Probes from Plexon) inserted in primary auditory cortex of a macaque monkey. The probes were arranged parallel to the iso-frequency bands in primary auditory cortex (A1), and had similar tonal response fields with preferred frequencies close to 1000 Hz. The first probe (which we call the lateral probe) was located centrally in A1, while the second probe (which we call the medial probe) was located more medially and closer to the boundary of A1 with the medio-lateral belt. The medial probe had lower response threshold, shorter MUA latencies, and overall stronger current sinks and sources than the lateral probe. The spacing between electrodes on each probe was 100 microns so that the probe spanned 2,300 microns. The treatment of the animals was in accordance with the guidelines set by the U.S. Department of Health and Human Services (NIH) for the care and use of laboratory animals, and all methods were approved by the Institutional Animal Care and Use Committee at the University of Pittsburgh.</p> <p>See README.txt for precise description of data files.</p>
Dynamic reconfiguration of macaque brain networks during natural vision
<p>Raw data acquired under awake imaging conditions in the macaque monkey during free-viewing on natural scenes. The movie presented is also shared which is based on 30 sec 0N and OFF periods. Time-series echo planar imaging (EPI) data for each subject (AL, DP, FL and VL). Data is named based on the subject.session.run. The format structure is on NIFTI. Anatomical files are also named according to the same nomenclature. EPI mask are also available for each in-session subject. </p>
Functional MRI data from isoflurane-anesthetized macaques, marmosets, and rats
<p>This dataset contains unprocessed task-free <strong>functional MRI (fMRI)</strong> data acquired in three different mammalian species: <strong>long-tailed macaques</strong> (<em>Macaca fascicularis</em>), <strong>common marmosets</strong> (<em>Callithrix jacchus</em>), and <strong>rats</strong> (<em>Rattus Norvegicus</em>, Wistar strain). The data were obtained during <strong>isoflurane anesthesia</strong>, with the animals intubated and mechanically ventilated. All experiments were carried out in accordance with the guidelines from Directive 2010/63/EU of the European Parliament on the protection of animals used for scientific purposes.</p> <p><strong>Related paper</strong></p> <p>This dataset supplements the following <a href="http://doi.org/10.7554/eLife.74813">manuscript</a>:</p> <p>Sirmpilatze N, Mylius J, Ortiz-Rios M, Baudewig J, Paasonen J, Golkowski D, Ranft A, Ilg R, Gröhn O, Boretius S. <em>Spatial signatures of anesthesia-induced burst-suppression differ between primates and rodents.</em> eLife 2022;11:e74813. DOI: https://doi.org/10.7554/eLife.74813</p> <p><strong>Data structure</strong></p> <p>The main data files are organized into four zipped folders - <em><strong>Macaque.zip, Marmoset.zip, Rat1.zip, Rat2.zip</strong></em> - each constituting a dataset formatted according to the <a href="https://bids.neuroimaging.io/">Brain Imaging Data Structure</a> specifications (BIDS v1.6.0).</p> <ul> <li>Each BIDS-formatted dataset contains subfolders for individual subjects (e.g. <em><strong>sub-01</strong>, <strong>sub-02</strong>,</em> etc.), as well as a tab-separated text file, <strong><em>participants.tsv</em></strong>, with some essential information about the subjects (e.g. age, weight, sex).</li> <li>Each subject-specific folder contains subfolders named <em><strong>func</strong> </em>and <strong><em>anat</em></strong>, storing fMRI and structural MRI data respectively. The (f)MRI data are provided in <a href="https://nifti.nimh.nih.gov/">NIfTI format</a> (suffixed with <strong><em>.nii.gz</em></strong>). Each NIfTI file is accompanied by a <strong><em>.json sidecar</em></strong> holding metadata.</li> <li>The <em><strong>func</strong></em> subfolders also include tab-separated text files named as <strong><em>{sub-id}_scans.tsv</em></strong> (e.g. <em><strong>sub-01_scans.tsv</strong></em>). These files provide additional information on the fMRI runs within the <em><strong>func</strong></em> subfolder, such as the isoflurane concentration during the acquisition of the fMRI run, duration of the run, etc.</li> <li>The column names in <em><strong>participants.tsv</strong></em> and <em><strong>{sub-id}_scans.tsv</strong></em> files are explained in accompanying <em><strong>participants.json </strong></em>and <em><strong>{sub-id}_scans.json</strong></em> files.</li> </ul> <p><strong>BIDS-formatted datasets</strong></p> <p>The basic characteristics of the datasets are given below. More details can be found in the <a href="https://www.biorxiv.org/content/10.1101/2021.10.15.464515">preprint</a>.</p> <ol> <li><em><strong>Macaque</strong></em> <ul> <li><strong>Institution:<em> </em></strong>German Primate Center (Deutsches Primatenzentrum GmbH - Leibniz-Institut für Primatenforschung), Göttingen, Germany</li> <li><strong>MR system:</strong> Siemens MAGNETOM Prisma 3T</li> <li><strong>Anatomical MRI scan:</strong> T1-weighted (MPRAGE), 1 per subject</li> <li><strong>fMRI scan:</strong> GE-EPI, 1 or 2 runs per subject, run duration 600 - 1200 s</li> <li><strong>Subjects:</strong> 13 <em>Macaca fascicularis</em></li> <li><strong>Age range:</strong> 6.8 - 19.8 years</li> <li><strong>Weight range:</strong> 3.6 - 8.1 kg</li> <li><strong>Sex:</strong> all females</li> <li><strong>Ethics oversight:</strong> Lower Saxony State Office for Consumer Protection and Food Safety, Hannover, Germany (approval number 33.19-42502-04-16/2278)</li> </ul> </li> <li><em><strong>Marmoset</strong></em> <ul> <li><strong>Institution:<em> </em></strong>German Primate Center (Deutsches Primatenzentrum GmbH - Leibniz-Institut für Primatenforschung), Göttingen, Germany</li> <li><strong>MR system:</strong> Bruker BioSpec 9.4 T, equpped with B-GA 20S gradient</li> <li><strong>Anatomical MRI scan:</strong> Proton density-weighted (PDw) with magnetization transfer (MT) pulse, 1 per subject</li> <li><strong>fMRI scan:</strong> GE-EPI, 1 run per subject, run duration 600 s (except for sub-21, containing 4 runs of 300 s duration each).</li> <li><strong>Subjects:</strong> 21 <em>Callithrix jacchus</em></li> <li><strong>Age range:</strong> 1.9 - 14.2 years</li> <li><strong>Weight range:</strong> 337 - 517 g</li> <li><strong>Sex:</strong> 11 females</li> <li><strong>Ethics oversight:</strong> Lower Saxony State Office for Consumer Protection and Food Safety, Hannover, Germany (approval numbers 33.19-42502-04-17/2496 and 33.19-42502-04-17/2535)</li> </ul> </li> <li><em><strong>Rat1</strong></em> <ul> <li><strong>Institution:<em> </em></strong>German Primate Center (Deutsches Primatenzentrum GmbH - Leibniz-Institut für Primatenforschung), Göttingen, Germany</li> <li><strong>MR system:</strong> Bruker BioSpec 9.4 T, equpped with B-GA 12S2 gradient</li> <li><strong>Anatomical MRI scan:</strong> T2-weighted (TurboRARE), 1 per subject</li> <li><strong>fMRI scan:</strong> GE-EPI, 6 runs per subject (except for sub-10: 4 runs), run duration 720 s</li> <li><strong>Subjects:</strong> 11 <em>Rattus norvegicus</em>, Wistar strain</li> <li><strong>Weight range:</strong> 350 - 450 g</li> <li><strong>Sex:</strong> all females</li> <li><strong>Ethics oversight:</strong> Lower Saxony State Office for Consumer Protection and Food Safety, Hannover, Germany (approval number 33.19-42502-04-15/2042)</li> </ul> </li> <li><em><strong>Rat2</strong></em> <ul> <li><strong>Institution:<em> </em></strong>A.I.V. Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland</li> <li><strong>MR system:</strong> Bruker PharmaScan 7 T</li> <li><strong>Anatomical MRI scan:</strong> NOT provided</li> <li><strong>fMRI scan:</strong> GE-EPI, 6 runs per subject (except for sub-10: 4 runs), run duration 720 s</li> <li><strong>Subjects:</strong> 6 <em>Rattus norvegicus</em>, Wistar strain</li> <li><strong>Weight range:</strong> 265 - 350 g</li> <li><strong>Sex:</strong> all males</li> <li><strong>Ethics oversight:</strong> Animal Ethics Committee of the Provincial Government of Southern Finland</li> </ul> </li> </ol> <p><strong>Example data</strong></p> <p>Before you commit to downloading the BIDS-formatted datasets, we encourage you to examine the example data that we provide in the root folder. These include one anatomical (stuctural MRI) and one functional (fMRI) scan from each of the four datasets (Rat2 contains functional scans only), with their respecitve <strong><em>.json sidecars</em></strong>. A preview of these example scans is provided by <em><strong>0_preview.pdf.</strong></em></p>
Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques - dataset
<p>Dataset from Tuyishime M, Spreng RL, et al. Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques. Frontiers in Immunology 2023 doi: 10.3389/fimmu.2023.1260377</p>
Data from "Behavioral flexibility is associated with changes in structure and function distributed across a frontal cortical network in macaques"
<p>DATA FILES from the study below:</p> <p><strong><a href="https://www.biorxiv.org/content/10.1101/603530v1">Behavioral flexibility is associated with changes in structure and function distributed across a frontal cortical network in macaques</a></strong></p> <p>Jérôme Sallet, MaryAnn P Noonan, Adam Thomas, Jill X O’Reilly, Jesper Anderson, Georgios KPapageorgiou, Franz X Neubert, Bashir Ahmed, Jackson Smith, Andrew H Bell, Mark J Buckley, LéaRoumazeilles, Steven Cuell, Mark E Walton, Kristine Krug, Rogier B Mars, Matthew FS Rushworth</p> <p>bioRxiv 603530; doi: <a href="https://doi.org/10.1101/603530">https://doi.org/10.1101/603530</a></p> <p>*.nii.gz files could be opened with FSLeyes -<a href="https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLeyes)">https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSLeyes)</a></p> <p>Dara are also available from : https://www.jeromesallet.org/data-ofc-reversal-learning</p>
Data from Churan et al. Action-dependent processing of self-motion in parietal cortex of macaque monkeys
<p><strong>Animals</strong></p> <p>Two adult male monkeys (macaca mulatta) participated in the study. Single-unit recordings were done using standard tungsten microelectrodes (FHC, Bowdoin, USA) with an impedance of ~2 MΩ at 1 kHz that were positioned by an hydraulic micromanipulator (MO-95, Narishige, Tokyo, Japan). A stainless-steel guiding tube was used for transdural penetration and support of the electrode. The neuronal signal was processed using a commercial system (Alpha Omega, Nof HaGalil, Israel). It was band-pass filtered (cut-off frequencies at 500 Hz and 8000 Hz) and sampled at 44 kHz.</p> <p><strong>Apparatus</strong></p> <p>During recordings, the monkeys were sitting head-fixed in a primate chair in a dark room, and their eye-position was monitored at 1000 Hz using a video-based eye tracker (EyeLink 1000, SR Research, Ottawa, Canada). The chair was positioned at a distance of 97 cm from a semi-transparent screen (size 160 cm x 90 cm, subtending the central 79 deg x 50 deg of the visual field) on which the visual stimuli were back-projected using a PROPixx-projector (VPixx Technologies, St-Bruno de Montarville, Canada) running at a resolution of 1920 x 1080 pixels and at a frame rate of 100 Hz. A custom-made touch sensor (length 10 cm, diameter 1 cm) was integrated into the monkey chair in front of the monkey and its status was monitored online at a sampling rate of 1 kHz.</p> <p><strong>Data processing</strong></p> <p>Single units were isolated using a semi-manual spike sorter (Plexon Inc, Dallas, Texas). To this end we used a threshold on the electrode signal that was set manually to separate the action potentials from noise. The samples that exceeded the threshold were further analyzed using principal components as well as other features that were derived from the signal (like local maxima and minima). Then clusters of samples with similar properties were identified visually and each defined as representing a single unit. For a detailed description of the sorting process see the offline User Guide (Plexon, 2020).</p> <p>Further description of the Methods, see: Churan et al. 2021, doi: 10.1152/jn.00049.2021</p> <p><strong>Data:</strong></p> <p>The file '<strong>data_active_passive.mat</strong>' contains following variables:</p> <p>monkey: code for the tested monkey (1=monkey S, 2=monkey O)</p> <p>baseline: Mean and standard deviation of the activity in a time window of 150 ms to 20 ms before the press of the button.</p> <p>reaction: Mean time between the switch of the color of the fixation point from red to green and the time of the button press.</p> <p>anti_p: Significance of a one sided t-test between the baseline activity and activity 200 ms to 0 ms prior to the onset of stimulus motion.</p> <p>p_win (a (1-3),b (1-3),c (1-3),n(1-110)): 4D matrix containing p-values of t-tests</p> <p>a:</p> <p>1: Was preparatory activity significantly higher in the passive relative to the active condition?</p> <p>2: Was preparatory activity significantly lower in the passive relative to the active condition?</p> <p>3: Was the tonic motion response (200 ms to 500 ms after motion onset) significantly different between the active and the passive conditions?</p> <p>b:</p> <p>1: Calculation was made based on all motion directions</p> <p>2: Calculation was made based on the preferred motion direction</p> <p>3: Calculation was made based on the flanking motion directions</p> <p>c:</p> <p>1: Calculation was made based on all presented delays</p> <p>2: Calculation was made based on the shorter set of delays (500 ms to 700 ms)</p> <p>3: Calculation was made based on the longer set of delays (701 ms to 1000 ms)</p> <p>n: number of the investigated neuron</p> <p>psth_alldir: cell array containing the PSTHs (obtained by convolving each spike with a Gaussian as described in the manuscript) in a time window between 1000 ms before and 800 ms after the onset of motion (in 1 ms steps). PSTHs were calculated based on data from all tested directions. Each cell array consists of 4 elements containing different conditions:</p> <p>1: active condition</p> <p>2: passive condition shorter set of delays (500 ms to 700 ms)</p> <p>3: passive condition longer set of delays (701 ms to 1000 ms)</p> <p>4: passive condition all delays</p> <p>psth_bestdir: same as above - using only the preferred direction</p> <p>psth_nbestdir: same as above - using only the flanking directions</p> <p>d_alldir: cell array containing the continuous d-prime (as described in the manuscript) in a time window between 1000 ms before and 800 ms after the onset of motion (in 1 ms steps). d' were calculated based on data from all tested directions. Each cell array consists of 4 elements containing different conditions:</p> <p>1: active condition</p> <p>2: passive condition shorter set of delays (500 ms to 700 ms)</p> <p>3: passive condition longer set of delays (701 ms to 1000 ms)</p> <p>4: passive condition all delays</p> <p>d_bestdir: same as above - using only the preferred direction</p> <p>d_nbestdir: same as above - using only the flanking directions</p> <p>The file '<strong>timecourse_preparatory.mat</strong>' contains the cell array 'd_alldir_preparatory' that consists of 201 elements. Each of the elements contains PSTHs of 23 neurons that have exhibited significant preparatory activity in the passive condition in a time window 1000 ms to 0 ms before the motion onset. Each of the 201 elements describes a specific range of delays between button press and motion onset. This delay range is always a 100 ms wide sliding window, e.g. the element 1 represents delays between 500 and 600 ms, in element 2, the delays are between 501 and 601 ms and so on with the last element (201) representing delays between 700 and 800 ms.</p> <p>Some example code that re-creates most of the figures from the manuscript and that may serve as a starting point for further exploration of the data is available on request from the corresponding author.</p>
Pregnancy advertisement Japanese macaques, Data Set
<p>Data set used for the analyses of female Japanese macaques (<em>Macaca fuscata</em>) sexual signals of pregnancy (variations in behaviors, estrus calls and face color).</p> <p>Here are some of the variables tested: ecall=estrus calls, contactm=contact made, contactb=contact borken, apf=female approaches, apm=male approaches, rd=R/G ratio (redness), lum=luminance, pregmonth=period of interest with pcp:pre-conceptive, m1:1<sup>st</sup> month of pregnancy, m2: 2<sup>nd</sup> month of pregnancy.</p>
Genetic architecture of immune cell DNA methylation in the rhesus macaque
<p><strong>Complete model outputs from rhesus macaque (<em>Macaca mulatta</em>) whole blood meQTL and eQTL analyses in article, "Genetic architecture of immune cell DNA methylation in the rhesus macaque". </strong></p> <p><strong><em>cis</em> meQTL model output (SNP-CpG associations):</strong> </p> <ol> <li>IMAGE_573_meqtl_model_res_wPVE.txt: <ul> <li>Model results from IMAGE meQTL mapping including all genome, chromatin state annotations, and PVE estimates</li> </ul> </li> <li>pqlseq_allimagesnps_res_converged_wpve.txt: <ul> <li>Model results from PQLseq meQTL mapping including PVE estimates </li> </ul> </li> </ol> <p><strong><em>cis</em> eQTL model output (SNP-gene associations): </strong></p> <ol> <li>eqtl_res_sva5_gemma_172samples_qvalue.txt: <ul> <li>Model results from GEMMA eQTL mapping </li> </ul> </li> </ol> <p> </p>
Data from: Twist and chew: three dimensional tongue kinematics during chewing in macaque primates
<p>Three-dimensional (3D) tongue movements are central to performance of feeding functions by mammals and other tetrapods, but 3D tongue kinematics during feeding are poorly understood. Tongue kinematics were recorded during grape chewing by macaque primates using biplanar videoradiography. Complex shape changes in the tongue during chewing are dominated by a combination of flexion in the tongue's sagittal planes and roll about its long axis. As hypothesized for humans, in macaques during tongue retraction the middle (molar region) of the tongue rolls to the chewing (working) side simultaneous with sagittal flexion, while the tongue tip flexes to the other (balancing) side. Twisting and flexion reach their maxima early in the fast close phase of chewing cycles, positioning the food bolus between the approaching teeth prior to the power stroke. Although 3D tongue kinematics undoubtedly vary with food type, the mechanical role of this movement—placing the food bolus on the post-canine teeth for breakdown—is likely to be a powerful constraint on tongue kinematics during this phase of the chewing cycle. The muscular drivers of these movements are likely to include a combination of intrinsic and extrinsic tongue muscles.</p>
No evidence that grooming is exchanged for coalitionary support in the short- or long-term via direct or generalized reciprocity in unrelated rhesus macaques
<p>Reciprocity is a prominent explanation for cooperation between non-kin. Studies seeking to demonstrate reciprocity often focus on direct reciprocity in the timescale of minutes to hours, whereas alternative mechanisms like generalised reciprocity and the possibility of reciprocation over longer timescales of months and years are less often explored. Using a playback experiment, we tested for evidence of direct and generalised reciprocity, across short and longer timescales. We examined the exchange of grooming for coalitionary support between female rhesus macaques in a population with a complete genetic pedigree. Females that received grooming were not more responsive to calls for coalitionary support from female groupmates compared to control females that received agonism or no interaction – even when the call belonged to a females' most recent grooming partner. Similarly, females were not more responsive to calls for support from their most frequent grooming partner of the last two years, nor if they received large amounts of grooming from all other females in their group. We interpret these results as an absence of evidence for direct or generalised reciprocity on any timescale in the exchange of grooming for coalitionary support in rhesus macaques. If grooming is exchanged for support in this population, it is with an intensity below our ability to detect or over a longer timescale than we examined. We propose by-product explanations may be responsible and highlight the importance of investigating multiple mechanisms when testing apparently cooperative behaviours.</p>
Rhesus macaque cone ratio heritability
<p><span>A defining feature of catarrhine primates is uniform trichromacy – the ability to distinguish red (long; L), green (medium; M), and blue (short; S) wavelengths of light. While the tuning of photoreceptors is conserved, the ratio of L:M cones in the retina is variable within and between species, with human cone ratios differing from other catarrhines. Yet, the sources and structure of variation in cone ratios are poorly understood, precluding a broader understanding of color vision variability. Here, we report a large-scale study of a pedigreed population of macaques. We collected foveal RNA and analysed opsin gene expression using cDNA. We estimated the additive genetic variance of cone ratios. The average L:M ratio and standard error was 1.03:1± 0.02. There was no age effect, and genetic contribution to variation was negligible. We found marginal sex effects with females having larger ratios than males. S cone ratios (0.143: 1± 0.002) had significant genetic variance with a heritability estimate of 43% but did not differ between sexes or age groups. Our results contextualize the derived human condition of L-cone dominance and provide new information about the heritability of cone ratios and variation in primate color vision.</span></p>
The Virtual Macaque Brain: A macaque connectome for large-scale network simulations in TheVirtualBrain
<p>A whole-cortex macaque structural connectome constructed from a combination of axonal tract-tracing and diffusion-weighted imaging data. Created for modeling brain dynamics using TheVirtualBrain platform. Website: thevirtualbrain.org</p>
Immunohistochemistry of Multimodal profiling of lung granulomas in macaques reveals cellular correlates of tuberculosis control
<p>(A) Architecture of macaque TB lung granuloma, where lymphocytes and macrophages are present in distinct regions. Immunohistochemistry and confocal microscopy were performed on a granuloma from an animal at 11 weeks post-Mtb infection to visualize localization of CD11c+ macrophages (cyan), CD3+ T cells (yellow), and CD20+ B cells (magenta)</p> <p>(B) Detection of mast cells in a 10-week NHP granuloma using immunohistochemistry, staining for tryptase (green) and c-kit (CD117)(red).</p> <p>(C) Detection of mast cells in a human lung granuloma. Hematoxylin and eosin stain and immunohistochemistry with multinucleated giant cells (stars, (top left) and c-kit (CD117) staining (indicated by arrows, top and bottom right).</p>
Macaque ecogeography and craniodental data
<p>Between-species (ecogeography + craniodental morphology) and within-species csv files (geo, climate, elevation + craniodental morphology).</p> <p>Longitude and latitude in decimal degrees (DD); altitude in meters (m); mean, min and max temperature in degrees Celsius * 10; temperature seasonality as standard deviation (SD) * 100; annual, min and max rainfall in millimeters (mm); rainfall seasonality as the coefficient of variation (CV). </p> <p><strong>Between-species:</strong> species mean data for 12 macaque species, plus an ultrametric phylogenetic tree. Here, ecogeography includes various range variables and habitat and dietary parameters.</p> <p><strong>Within-species:</strong> <em>M. nemestrina (N </em>= 43 from 28 unique localities), <em>M. fascicularis (N </em>= 70 from 45 unique localities), and <em>M. mulatta (N </em>= 44 from 33 unique localities)<em>. </em>Raw data for adult specimens are provided, with imputed values for the morphological data where there were missing data (e.g., due to damage or loss of teeth). Imputed data can easily be recognised as values with more than two decimal places. <br> <br> <strong>Citation:</strong> Grunstra, N.D.S., Mitteroecker, P., & Foley, R.A. (2018). A Multivariate Ecogeographic Analysis of Macaque Craniodental Variation. <em>American Journal of Physical Anthropology</em>.</p>
NKI Translational Neuroscience Laboratory macaque MRI dataset
<p>This dataset includes whole brain MRI data from a group of three rhesus macaques. The dataset includes functional MRI data in the form of contrast (Monocrystalline iron oxide nanoparticles (MION)) enhanced echo planar images, T1-weighted and T2-weighted anatomical images, and diffusion weighted images for each subject. The fMRI data is a mix of anesthetized resting state imaging, somatosensory stimulation, and awake movie watching. </p>
Fig. 6 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 6. The prevalence of parasites is examined in relation to a) location and b) season. Multicolor triangles and circles in the plots represent individual data points (triangles) and centroid of each specific grouping factor (circle).
Fig. 3 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 3. Photomicrographs of various GI parasites of the rhesus macaques at 400×: Trophozoite of E. histolytica (A), Cyst of E. histolytica (B), Cyst of E. coli (C), Cyst of Iodomoeba butschlii (D), Cyst of Giardia spp. (E), Trophozoite of Balantioides coli (F), Cyst of Balantioides coli (G), Egg of Trichuris spp. (H), Egg of Strongyloides spp. (I), Larva of Strongyloides spp. (J), Egg of Hookworm (K), Egg of Trichostrongylus spp. (L), Egg of Ascarid spp. (M), Egg of Physaloptera spp. (N), Egg of Toxocara spp.(O), Egg of Toxocara spp. (P), Egg of Strongyle spp. (Q), Egg of Strongyle spp.(R), Oocyst of Cryptosporidium spp. (S), Unknown spp. 1 (T).
Fig. 1 in Gastro-intestinal parasites of urban rhesus macaques (Macaca mulatta) in the Kathmandu Valley, Nepal
Fig. 1. Map showing the four fecal collection sites of the urban rhesus macaques in the Kathmandu Valley.
Fig. 3 in Prevalence and new genotypes of Enterocytozoon bieneusi in wild rhesus macaque (Macaca mulatta) in China: A zoonotic concern
Fig. 3. Sequence variation in the ITS region of the rRNA gene of Enterocytozoon bieneusi isolates from rhesus macaque. The ITS sequences of 5 known genotypes (D, PL9, CAF4, EbpC, and SCC-2) and 8 novel genotypes (Mul6 to 13) identified in this study, were aligned with each other. The dots and transverse lines indicate base identities and deletions, respectively, relative to the ITS sequence of genotype D.
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.