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3,435 results for “Visualization”
Visual Counts of Tree Reproduction near NEON plots at Harvard Forest since 2020
Mast seeding, a resource pulse that has cascading effects in the environment, is a measure that can provide insight into forest dynamics. When masting data is collected in sequential years it can provide information on how tree populations are responding to climatic and environmental variables, and can also be used to relate to other indices, such as seed-eating animal species. The objective of this study is to quantify the yearly seed production of mast seeding tree species at Harvard Forest which are located near National Ecological Observatory Network (NEON) plots. This project is part of larger NEON-enabled project examining mast seeding on a continental scale at 25 NEON sites in the United States, which uses mast seeding records in conjunction with NEON collected data products like mammal box-trapping, tick drags, and bird point counts. Data collected on mast seeding can be linked to these other indices at regional and continental scales.
OLVSL_ Object-location visual statistical learning
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High-field 7T Visual fMRI Datasets
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Hand-selective visual regions represent how to grasp 3D tools for use: brain decoding during real actions
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Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
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Sharpening of Hierarchical Visual Feature Representations of Blurred Images
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Shared neural codes for visual and semantic information about familiar faces in a common representational space
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PsPM-RRM1-2: SCR, ECG, respiration and eye tracker measurements in response to electric stimulation or visual targets
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG), respiration and eye tracker (including pupillometry) measurements for each of 29 healthy unmedicated participants (7 males and 22 females aged 23.5 +/- 3.6 years) in response to 10 discomforting electric stimulations to the forearm (RRM1) or 10 visual targets in a visual detection task (RRM2). The sample partly overlaps with data set <a href="https://doi.org/10.5281/zenodo.1292568">PsPM-FR</a>. Some participants did not take part in RRM1 or RRM2 such that there are 25 recordings for RRM1 and 26 recordings for RRM2. Electric shock stimuli are 0.2 ms wide square current pulse repeated at 500 Hz for 500 ms and individually adjusted amplitude just below the pain threshold. Visual stimuli are red crosses (+) embedded in a white digit stream; each stimulus is presented during 200 ms and separated by a 800 ms blank interval. ITI is selected randomly on each trial from 40 s, 45 s or 50 s. A baseline period with distractors but no targets concludes experiment RRM2. (This is in contrast to the methods description in Bach et al. (2016), according to which the baseline period was randomly either in the beginning or at the end of the experiment. This discrepancy was caused by an error in the code that controlled the experiment presentation.)</p>
Ten years (2013-2023) of fish assemblage data collected seasonally with underwater visual surveys on paired artificial and natural reefs
<p>The study of assembly patterns and dynamics of organisms has long remained a foundational theme in ecology. Further, the relationship between assemblages and different habitats can provide important insight on ecological processes and guide management and conservation efforts (e.g., restoration, protected areas). We conducted underwater visual surveys of reef fish assemblages at 14 sites in the eastern Gulf of Mexico, including eight that were paired artificial and natural reefs. By using a paired design, we controlled biotic (e.g., larval supply), abiotic (e.g., depth), and socio variables (e.g., fishing access) to isolate the effect of reef type. Trained scientific SCUBA divers with extensive experience with reef fishes from the broader tropical western Atlantic region conducted two to four 10-minute stationary surveys on the paired reefs each season (i.e., calendar quarters) for 10 years from spring 2013 to spring 2023. We also surveyed six additional artificial reefs from winter 2020 to spring 2023 that lacked natural reef pairs. During each survey, the divers identified and estimated the total lengths of all taxa<strong> </strong>observed within an imaginary cylinder around them. The imaginary cylinders had a radius up to 7.5 meters (depending on horizontal visibility) and extended from the seafloor to the highest visible water above the diver. During the period of study, we conducted a total of 1,349 surveys and counted 544,736 fish that represented 171 taxa (most at the species level). Analyses of these data have revealed habitat-specific heterogeneity of the fish assemblages at both taxonomic and functional trait levels, the importance of herbivory in structuring the benthos, and socio-ecological interactions in the system, among other findings. These data may be useful for other researchers interested in patterns and dynamics of populations and communities, functional traits, taxa-habitat relationships, and for parameterizing statistical, joint distribution, metacommunity, and ecosystem models. In addition, because many of the observed taxa<strong> </strong>are of management concern, they may be useful for researchers interested in fisheries science. The data are free to use, are not copyright restricted, and we ask users to cite this data paper.</p>
PsPM-TC: SCR, ECG, EMG and respiration measurements in a discriminant trace fear conditioning task with visual CS and electrical US.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times from 18 healthy unmedicated participants (8 males and 10 females aged 23.89+/-2.52 years) participating in a classical (Pavlovian) discriminant trace fear conditioning task. CS were a red and a blue rectangle presented for 3 seconds. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 10 Hz frequency. SOA between the CS onset and US was 4 s. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
PsPM-VC7B: SCR and PSR measurements in a delay fear conditioning task with visual CS and electrical US.
<p>This dataset includes pupil size response (PSR) and skin conductance response (SCR) measurements. Also included are CS and US information, keypress responses, keypress response times, key correctness and shock ratings for each of 21 healthy unmedicated participants (6 males and 15 females aged 27.9+/-5.5 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. Four sets of CS+/CS- were used. Simple CS consisted of Gabor patches rotated to the left or to the right; complex CS consisted of plaids created from two Gabor patches that were overlaid on each other with a 230° angle, rotated to the left or to the right. US consisted of a train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants’ dominant forearm through a pin-cathode/ring-anode configuration. SOA between the CS and US is 3.5 s. The ITI is randomly determined on each trial to be 7, 9, or 11 s.</p>
PsPM-DoxMemP: SCR, ECG and respiration measurements in a delay fear conditioning task with visual CS and electrical US.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times for 20 healthy unmedicated participants (7 males and 13 females aged 26.15+/-4.15 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS were a red and a blue rectangle. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 10 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
PsPM-FR: SCR, ECG and respiration measurements in a delay fear conditioning task with visual CS and electrical US.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times for 31 healthy unmedicated participants (09 males and 23 females aged 23.32+/-3.61 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS were a red and a blue rectangle. US consisted of 0.5 s square electric pulses with 0.2-ms duration and 10 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. During extinction phase, an auditory startle probe (ST) was delivered 3.8 s after CS onset via headphones (100 dB, 50 ms duration with 2ms on- and offset ramp). The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p> <p> </p>
The Interplay between Hebbian and homeostatic plasticity in the Adult Visual cortex
<p>Data linked to the article "The interplay between Hebbian and homeostatic plasticity in the adult visual cortex", Journal of Physiology, DOI: <a href="https://doi.org/10.1113/JP287665">https://doi.org/10.1113/JP287665</a></p> <p>Data from binocular rivalry measurements and processed data from EEG Visual Evoked Potentials (VEP) are separated in different files.</p> <p>The ocular dominance index (ODI) files are split in two: the "ODI_values" file contains the raw measurements from participants, and the "change_from_baseline file" contains the same data normalized to baseline for each measurement.</p> <p>In both files, each column refers to a different measurement and condition:</p> <p>noHFS: data measured with the 17Hz HFS block before monocular deprivation<br>HFS: data measured with the 8.6Hz HFS block before monocular deprivation</p> <p>Baseline: Ocular dominance index measured at the start of the session, before any manipulation<br>Post_MD_1: first measurement after 60 minutes monocular deprivation (starting immediately after the end of deprivation)<br>Post_MD_2: second measurement after 60 minutes monocular deprivation (starting 11 minutes after the end of deprivation)<br>Post_MD_3: third measurement after 60 minutes monocular deprivation (starting 22 minutes after the end of deprivation)</p> <p>In VEP files, each column refers to a different condition:</p> <p>HFS: VEP recorded in the high-frequency stimulation condition, no monocular deprivation<br>HFS_MD: VEP recorded in the high-frequency stimulation condition with monocular deprivation<br>noHFS: VEP recorded in the condition where the HFS block was withheld, as a control for its role in our effect</p> <p>pre: first 500 measurements, before the High-Frequency Stimulation (HFS) block<br>post: last 500 measurements, after the HFS block (or after the break in the noHFS condition).</p>
Sparse camera volumetric video applications. A comparison of visual fidelity, user experience , and adaptability. Supplementary Video
<p>This video is a supplementary video material to the paper "Sparse camera volumetric video applications. A comparison of visual fidelity, user experience , and adaptability". It shows a comparision of five volumetric videos scenes, captured with three different sparse volumetric video applications. This video aims to visualize the difference in fidelity and artifacts that each system expresses.</p>
Dataset for the study Multisensory spatial perception in visually impaired infants
<p>Data from the study "Multisensory spatial perception in visually impaired infants". Data are in textual tab-delimited format.</p> <p> </p> <p>Summary</p> <p>Congenitally blind infants are not only deprived of visual input but also of visual influences on the intact senses. The important role that vision plays in the early development of multisensory spatial perception<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib1">1</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib2">2</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib3">3</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib4">4</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib5">5</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib6">6</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib7">7</a> (e.g., in crossmodal calibration<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib8">8</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib9">9</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib10">10</a> and in the formation of multisensory spatial representations of the body and the world<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib1"><sup>1</sup></a><sup>,</sup><a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib2"><sup>2</sup></a>) raises the possibility that impairments in spatial perception are at the heart of the wide range of difficulties that visually impaired infants show across spatial,<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib8">8</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib9">9</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib10">10</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib11">11</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib12">12</a> motor,<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib13">13</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib14">14</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib15">15</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib16">16</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib17">17</a> and social domains.<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib8"><sup>8</sup></a><sup>,</sup><a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib18"><sup>18</sup></a><sup>,</sup><a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib19"><sup>19</sup></a> But investigations of early development are needed to clarify how visually impaired infants’ spatial hearing and touch support their emerging ability to make sense of their body and the outside world. We compared sighted (S) and severely visually impaired (SVI) infants’ responses to auditory and tactile stimuli presented on their hands. No statistically reliable differences in the direction or latency of responses to <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/auditory-stimulation">auditory stimuli</a> emerged, but significant group differences emerged in responses to tactile and audiotactile stimuli. The visually impaired infants showed attenuated audiotactile spatial integration and interference, weighted more tactile than auditory cues when the two were presented in conflict, and showed a more limited influence of representations of the external layout of the body on tactile spatial perception.<a href="https://www.sciencedirect.com/science/article/pii/S0960982221012513#bib20"><sup>20</sup></a> These findings uncover a distinct phenotype of multisensory spatial perception in early postnatal visual deprivation. Importantly, evidence of audiotactile spatial integration in visually impaired infants, albeit to a lesser degree than in sighted infants, signals the potential of multisensory rehabilitation methods in early development.</p> <p>Orienting responses and reaction times (RT) are reported, based on the scoring of two independent naive raters, for each trial of each subject, group (SVI/S), posture (Uncrossed/Crossed), and sensory condition (Tactile only, Auditory only, Audiotactile congruent, Audiotactile incongruent).</p> <p>Trial is the trial number, condition is the sensory condition, audio and tactile respectively refer to the side of the stimulated hand, response_status reports if the response is defined or undefined, response modality reports if the modality used by subjects to respond/not to respond to stimuli (hand, eye, both hands, no motion), group is if the subject was a sighted (S) or a severely visually impaired (SVI) infant, age_mounth is the age expressed in months, RT_rater1, RT_rater 2 and RT are respectively the RT assigned by the two raters and the merge of the two estimations (for RTs, the mean), the same organization for response_side, and for response_modality (for those variables, when the estimation of the two raters did not agree, the merged classification was set to unknown, that is uncertain/undefined).</p>
Visual survey of insect communities on Iva frutescens in summer 2013 and 2014 on Sapelo Island, Georgia
Visual surveys were conducted in summer 2013 and 2014 to record the insect fauna that occurred on patches of Iva frutescens. Forty-four patches of Iva frutescens at three locations on Sapelo Island, Georgia, were marked for repetitive surveys. Thirty-eight of these patches were sampled in 2014. The patches were visually surveyed every three days from May 29 - June 15, 2013, and from June 1 - July 29, 2014, and the taxon and abundance of insects were recorded. This submission contains three data tables: 1. Insect fauna of Iva patches in 2013. This data set includes observations of 44 patches on 6 sampling dates, and includes Armases crab data. 2. Insect fauna of Iva patches in 2014. This data set includes observations of 38 patches on 20 sampling dates. 3. Structure of Iva patches on Sapelo Island in 2013. This data set contains the dimensions (Length, Width, Height) and surrounding environments of the Iva patches that were surveyed in 2013. The GPS locations of the patches were measured in 2014.
Decoding of multisensory semantics and memories in low-level visual cortex
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Visual Oddball Task (256 channels)
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Effects of Phase Regression on High-Resolution Functional MRI of the Primary Visual Cortex
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ScienceDex guides
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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.