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.
3,283
datasets available to search
ShareScore release 0.9.0
Dataset results
3,283 results for “males and females”
Fig. 8 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 8. Pregenital (5th) sternite of Delia radicum male
Fig. 1 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 1. Delia radicum female
Fig. 7 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 7. Male terminalia of Delia platura in lateral view
Fig. 3 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 3. Hind leg of Delia platura male
Fig. 11 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 11. Pregenital (5th) sternite of Delia floralis male
Fig. 10 in Male And Female Morphology Of Some Central European Delia (Anthomyiidae) Pests
Fig. 10. Male terminalia of Delia radicum in lateral view
Fig. 2 in Methods to separate Lobesia botrana (Lepidoptera: Tortricidae) males from females for the implementation of sterile insect-inherited sterility technique control tactics
Fig. 2. Fifh instar larvae of Lobesia botrana indicating various shades of blue and green.
Fig. 8. Male A and female B in Striatoandricus sanchezi Cuesta-Porta & Melika & Nicholls & Stone & Pujade-Villar 2022, n. sp.
Fig. 8. Male A and female B embryos with complete yolk sac. Scale bar = 15 cm.
Figure 4. Bamberene dorsospina, AM P42848 male, A, B, dorsal and ventral views of trunk; C, anterior view of cephalon: D, male, oviger; E, female oviger; F, NMV J62425, proboscis tip and chelae; G, AM P43312 larva removed from male; H, juvenile removed from male.
Figure 4. Bamberene dorsospina, AM P42848 male, A, B, dorsal and ventral views of trunk; C, anterior view of cephalon: D, male, oviger; E, female oviger; F, NMV J62425, proboscis tip and chelae; G, AM P43312 larva removed from male; H, juvenile removed from male.
Figure 3. Stylopallene tubirostris, A, B, male, dorsal and lateral views of trunk; C, female, anterior view of cephalon; D, scape process; E, live specimen; F, juveniles on male; G, juvenile; H, exuviae attached to male oviger.
Figure 3. Stylopallene tubirostris, A, B, male, dorsal and lateral views of trunk; C, female, anterior view of cephalon; D, scape process; E, live specimen; F, juveniles on male; G, juvenile; H, exuviae attached to male oviger.
Figure 1. Stylopallene cheilorhynchus, A, B, male, dorsal and lateral views of trunk; C, female, anterior view; D, live specimen; E, protonymphon on ovigers; F, discarded exuvia.
Figure 1. Stylopallene cheilorhynchus, A, B, male, dorsal and lateral views of trunk; C, female, anterior view; D, live specimen; E, protonymphon on ovigers; F, discarded exuvia.
Masked datasets from an fMRI experiment on the impact of semantic priming on the perception of ambivalent (male versus female) faces
<p>Twenty-four female native Dutch speakers participated in the fMRI experiment and gained monetary compensation for their participation. Only female participants were recruited for the study, in order to avoid gender-related confounding factors. The study was approved by the local ethics committee (CMO Arnhem-Nijmegen, Radboud University Medical Center, ethical approval for studies on healthy human subjects at the Donders Centre for Cognitive Neuroimaging, no ECG 2012-0910-058) and conducted in accordance with their guidelines. All participants signed informed consent forms before the experiment. The data from seven subjects were excluded from the analysis: 3 subjects failed to finish the task and 4 subjects exhibited head motion that exceeded the maximum acceptance rate of 2 [mm]. The remaining 17 subjects (females, age 18-29 years) reported no neurological diseases, and had normal or corrected-to-normal vision. </p> <p>A set of realistic 3D faces was morphed across gender (from extremely female to extremely male) using FaceGen Modeller 3.5 (Singular Inversions, www.facegen.com). The morphing procedure started from 40 distinct faces. For each face, we gradually modulated gender features in 5 steps with the same amount of feature transformation in each step. The face stimuli were presented frontally and cropped around the oval of the face. We controlled for luminance using SHINE toolbox for MATLAB. The perceptual boundary within gender continuum of faces was established in a separate behavioral experiment.</p> <p>Each trial started with priming: presentation of a gender-related word 'man' or 'vrouw' for 0.2 [s]. Then, after the fixation cross 0.25 [s]), a face was presented (0.5 [s]), followed by an inter-trial period of a randomized length of 5-7 [s]. Participants were asked to perform a matching task: respond 'yes' if a word and subsequent picture corresponded in gender, and 'no' otherwise. The experiment was carried out in Dutch. The buttons were counterbalanced across subjects. The experiment was divided into 6 blocks in order to avoid fatigue. Each block consisted of 50 trials. The order of stimuli was randomized across blocks and participants. We used Presentation software (version 17.1, www.neurobs.com) in order to screen the stimuli during the experiment.</p> <p>Functional images were acquired using 3T Skyra MRI system (Siemens Magnetom), T2* weighted echo-planar images (gradient-echo, repetition-time TR = 1760 [ms], echo-time TE = 32 [ms], 0.7 [ms] echo spacing, 1626 hz/Px bandwidth, generalized auto-calibrating partially parallel acquisition (GRAPPA), acceleration factor 3, 32 channel brain receiver coil). In total, 78 axial slices were acquired (2.0 [mm] thickness, 2.0*2.0 [mm] in plane resolution, 212 [mm] field of view (FOV) whole brain, anterior-to-posterior phase-encoding direction).</p> <p>The data reprocessing was performed using SPM12 (Welcome Trust Center for Neuroimaging, University College London, UK). Functional scans were realigned to the first scan of the first run with further realignment to the mean scan. We performed slice-time correction on realigned images to account for differences in image acquisition between slices. Motion-related components were removed from the data using a data-driven ICA-AROMA. Denoised functional scans were spatially normalized to the Montreal Neurological Institute (MNI) space without changing the voxel size. Normalized data were smoothed spatially with a Gaussian kernel of 6 [mm] full-width at half-maximum.</p> <p>We extracted region-of-interest (ROI) mask using Anatomical Automatic Labeling atlas (AAL). According to our a priori hypothesis, we preselected the bilateral SPL (4288 voxels) and the bilateral IPL (3792 voxels).</p>
Fig. 3 in Male and female association in Trichomyia Haliday in Curtis, 1839 using a molecular approach (Diptera, Psychodidae, Trichomyiinae), and description of new species from Brazil
Fig. 3. Dendrogram of genetic similarity among Trichomyia species analyzed, F, female.
Males miss and females forgo: auditory masking from vessel noise impairs foraging efficiency and success in killer whales - CALIBRATED MOVEMENT DATA AND VARIABLES SUPPORTING ANALYSES
<p><strong>Description of the data and file structure<br></strong>This record contains data from animal-borne biologging instruments (Dtags) temporarily affixed to fish-eating killer whales, supporting the analyses presented in the following article:</p> <p> Tennessen. J.B., Holt, M.M., Wright, B.M., Hanson, M.B., Emmons, C.K., Giles, D.A., Hogan, J.T., Thornton, S.J., Deecke, V.B. 2024. Males miss and females forgo: auditory masking from vessel noise impairs foraging efficiency and success in killer whales. <em>Global Change Biology</em>.<strong> </strong>In press.</p> <p>The data include the following: (1) calibrated movement data from analyzed Dtag deployments, and (2) a spreadsheet containing the variables included in the fully-saturated and final models listed in Table 2 in the article cited above. All methodological details necessary to contextualize analysis procedures are provided in the methods section of the article. The following data files are available under separate DOIs: 10.5281/zenodo.13333019 - all 2009 & 2010 audio data; 10.5281/zenodo.13328931 - all 2011 & 2014 audio data.</p> <p>These data are provided by NOAA Fisheries' Northwest Fisheries Science Center, and Fisheries and Oceans Canada, to support reproducibility of all statistical analyses presented in the article. Please cite your usage of our data. For inquiries about data use, or for general questions, please contact Dr. Jennifer B. Tennessen, at jtenness@uw.edu.</p> <p> </p> <p><strong>Description of the movement data files<br></strong>The movement files have been calibrated from the raw data and are ready to use. The files contain the .mat extension, and need to be opened using Matlab and the tagtools tool kit available at https://github.com/animaltags . Tutorials for working with the toolkit are available at animaltags.org . These files contain several vector and matrix variables. We define those used in our analyses below. For questions about how to work with these files, please contact Dr. Jennifer B. Tennessen, at jtenness@uw.edu.</p> <p>Aw: calibrated triaxial accelerometer data (converted from tag frame to whale frame)</p> <p>fs: sample rate (50 Hz)</p> <p>head: animal's circular heading (rotation about the dorsal-ventral axis, in radians)</p> <p>Mw: calibrated triaxial magnetometer data (converted from tag frame to whale frame)</p> <p>p: depth (in meters)</p> <p>pitch: animal's pitch (rotation about the left-right axis, in radians)</p> <p>roll: animal's roll (rotation about the anterior-posterior axis, in radians)</p> <p>tempr: temperature recorded on tag (in Celsius)</p> <p>TT: time cues for the start and end of every analyzed dive within a deployment. This matrix contains 6 columns:<br>-col 1: start cue (in sec)<br>-col 2: end cue (in sec)<br>-col 3: maximum depth of dive (m)<br>-col 4: time cue at max depth (in sec)<br>-col 5: mean depth (m)<br>-col 6: mean compression</p> <p> </p> <p><strong>Description of the analyzed variables<br></strong>The data are provided column-wise in a spreadsheet, whereby each column contains one of several variables used to build the corresponding models listed in Table 2 in the above article. Model details are provided in the above article, including the statistical packages needed to run the models. </p> <p><em>The following is a list of variable names (column headers) and their corresponding definitions:<br></em><strong>bzsounds:</strong> binary presence (1)/absence (0) of buzz bouts within a dive. Buzzing is defined as the occurrence of echolocation clicks with an inter-click interval < 11 ms<br><strong>code:</strong> categorical identifier of the numerical week of year in which the tag was deployed (e.g., week 33 of 2009 is different than week 33 of 2011)<br><strong>deployment:</strong> the event whereby a tag was affixed to an individual killer whale and data were collected via tag sensors; each deployment was assigned a unique deployment ID, consisting of the first letter of the Genus and species names (“oo” for Orcinus orca), followed by two digits corresponding to the year (“09” = 2009), followed by the Julian day of the year (e.g. “234”), followed by a letter indicating the deployment order of the day. NRKW deployments were assigned a through l, and SRKW deployments were assigned m through z (e.g. “a” = first deployment of the day for NRKW, “m” = first deployment of the day for SRKW)<br><strong>durwho: </strong>duration of a whole dive, in seconds. Dives were defined as all departures from the surface, to at least 1 m or deeper, followed by a return to within 0.5 m of the surface<br><strong>divenum: c</strong>hronological identifier for dive position within a deployment (e.g., for the 10<sup>th</sup> dive within a deployment, divenum = 10)<br><strong>kindet: </strong>binary presence (1)/absence (0) of a prey capture event within a dive. Prey capture was informed by the occurrence of stereotyped movement signatures in sensor data indicative of prey capture, following an established method validated with visual and acoustic confirmation of predation events. Prey capture is defined as the occurrence of three movement variables indicative of prey capture (peak jerk, roll and heading variance) each exceeding pre-determined thresholds (see Tennessen et al. 2019b in above article for details)<br><strong>maxdep:</strong> maximum depth of a dive, in meters<br><strong>NLmax: </strong>the maximum noise level received during a dive, measured as the root-mean-square sound pressure level (dB re 1 mPa) within one second bins over the 15-45 kHz frequency band<br><strong>population:</strong> population to which the tagged whale belongs (NRKW = Northern Resident killer whale; SRKW = Southern Resident killer whale)<br><strong>sex:</strong> sex of tagged whale (F = female, M = male, NA = unknown)<br><strong>sc:</strong> binary presence (1)/absence (0) of slow-click sounds within a dive. Slow-clicking is defined as the occurrence of echolocation clicks with an inter-click interval >100 ms<br><strong>tagID:</strong> identifier for the individual tag used for each deployment<br><strong>year:</strong> year of deployment</p>
Male-like ornamentation in female hummingbirds results from social harassment rather than sexual selection DATA_CODE
<p>Contains all relevant data and code for analyses and figures used in "Male-like ornamentation in female hummingbirds results from social harassment rather than sexual selection" by Jay J. Falk, Michael S. Webster, and Dustin R. Rubenstein. Current Biology, 2021. </p>
Acoustic feature measurements of male and female NZ bellbird (Anthornis melanura) song syllables
<p>Acoustic feature measurements of 20,700 syllables (acoustic units) of male and female birdsong, from NZ bellbirds (Anthornis melanura). The measurements were extracted in Koe bioacoustics software (koe.io.ac.nz), on recordings from six sites in the Hauraki Gulf, northeastern New Zealand. The sites are Tawhiti Rahi island (Poor Knights island group), Lady Alice Island (Hen and Chicks island group), Hauturu (Little Barrier Island), Tawharanui Peninsula, Repanga (Cuvier Island), and Tiritiri Matangi Island.</p> <p>Descriptions of extracted acoustic features can be found at https://github.com/fzyukio/koe/wiki#extract-unit-features</p>
Coverage data in males and females, and genetic markers used for genetic mapping of the guppy LG12 (sex chromosome pair)
<p>The study used genetic mapping and coverage data in genome sequences of multiple male and female individuals of <i>M. picta</i> from multiple natural populations to investigate genetic degeneration of the Y chromosome, and quantify gene loss from the Y. The files include coverage results from the sex chromosome that were (i) used for sexing the sequenced individuals, and (ii) combined with autosomal results to analyze M/F, M/A and F/A depth of coverage ratios. Genetic mapping was also used to validate sex linkage, and the data set includes files with genotypes of genetic markers.</p>
Figure 1. A in ''Riding'' behaviour by males of Conops quadrifasciata (Diptera: Conopidae): Do females set up ''riders'' as targets for takeovers by larger males?
Figure 1. A male rider employs an abdomen lift to thwart a slightly larger attacker.
Colorful traits in female birds relate to individual condition, reproductive performance, and male mate preferences: A meta-analytic approach dataset
<p>Colorful traits in females are suggested to have evolved and be maintained by sexual selection. Although several studies have evaluated this idea, support is still equivocal. <span><span>Evidence has been compiled in reviews, and a handful of quantitative synthesis have explored evidence of the link between condition and specific color traits in males and females. However, understanding the potential function of females' colorful traits in sexual communication has not been the primary focus of any of those previous studies</span></span><span>. </span>Here, using a meta-analytic approach, we find that evidence from empirical studies in birds supports the idea that colorful female ornaments are positively associated with residual mass and immune response, clutch size, and male-mate preferences. Hence, colorful traits in female birds likely evolved and are maintained by sexual selection.</p>
Figures 7-16 in Description of the female of Poeciloxestia plagiata (Waterhouse, 1880), and of the male of Iuati spinithorax Martins & Galileo, 2010 (Coleoptera, Cerambycidae)
Figures 7-16. (7-15) Iuati spinithorax: (7) Dorsal habitus, male; (8) Ventral habitus, male; (9) Lateral habitus, male; (10) Head, frontal view, male; (11) Head and prothorax, holotype female; (12) Head and prothorax, female 1; (13) Head and prothorax, female 2; (14) Elytron, female 1; (15) Elytron, female 2. (16) Butherium erythropus, head, frontal view, female.
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.