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7 results for “visual guidance”

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zenodo48/100

Dataset from: "Reward expectation facilitates context learning and attentional guidance in visual search"

<p>Dataset for&nbsp;Bergmann N, Koch D, Schub&ouml; A (2019). Reward expectation facilitates&nbsp;context learning and attentional guidance in visual search, <em>Journal of Vision</em>,&nbsp;19(3).&nbsp;<a href="https://doi.org/10.1167/19.3.10">https://doi.org/10.1167/19.3.10</a></p>

opencc-by-4.0Jul 2021View details →
zenodo48/100

Dataset: Rainbow color map distorts and misleads research in hydrology – guidance for better visualizations and science communication

<p>The rainbow color map is scientifically incorrect and hinders people with color vision deficiency to view visualizations in a correct way. Due to perceptual non-uniform color gradients within the rainbow color map the data representation is distorted what can lead to misinterpretation of results and flaws in science communication. Here we present the data of a paper survey of 797 scientific publication in the journal Hydrology and Earth System Sciences. With in the survey all papers were classified according to color issues. Find details about the data below.</p> <ul> <li><code>year</code>&nbsp;= year of publication (YYYY)</li> <li><code>date</code>&nbsp;= date (YYYY-MM-DD) of publication</li> <li><code>title</code>&nbsp;= full paper title from journal website</li> <li><code>authors</code>&nbsp;= list of authors comma-separated</li> <li><code>n_authors</code>&nbsp;= number of authors (integer between 1 and 27)</li> <li><code>col_code</code>&nbsp;= color-issue classification (see below)</li> <li><code>volume</code>&nbsp;= Journal volume</li> <li><code>start_page</code>&nbsp;= first page of paper (consecutive)</li> <li><code>end_page</code>&nbsp;= last page of paper (consecutive)</li> <li><code>base_url</code>&nbsp;= base url to access the PDF of the paper with&nbsp;<code>/volume/start_page/year/</code></li> <li><code>filename</code>&nbsp;= specific file name of the paper PDF (e.g.&nbsp;<code>hess-9-111-2005.pdf</code>)</li> </ul> <p>Color classification is stored in the&nbsp;<code>col_code</code>&nbsp;variable with:</p> <ul> <li><code>0</code>&nbsp;= chromatic and issue-free,</li> <li><code>1</code>&nbsp;= red-green issues,</li> <li><code>2</code>= rainbow issues and</li> <li><code>bw</code>= black and white paper.</li> </ul> <p>&nbsp;</p> <p>See more details (e.g., sample code to analyse the survey data) on https://github.com/modche/rainbow_hydrology</p> <p>Paper:&nbsp;Stoelzle, M. and Stein, L.: Rainbow color map distorts and misleads research in hydrology&nbsp;&ndash; guidance for better visualizations and science communication, Hydrol. Earth Syst. Sci., 25, 4549&ndash;4565, https://doi.org/10.5194/hess-25-4549-2021, 2021.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2021View details →
dryad36/100

Data for: Visual guidance of honeybees approaching a vertical landing surface

<p>Landing is a critical phase for flying animals, whereby many rely on visual cues to perform controlled touchdown. Foraging honeybees rely on regular landings on flowers to collect food, crucial for colony survival and reproduction. Here, we explore how honeybees utilize optical-expansion cues to regulate approach flight speed when landing on vertical surfaces. Three sensory-motor control models have been proposed for landings of natural flyers. Landing honeybees maintain a constant optical-expansion-rate set-point, resulting in a gradual decrease in approach velocity and gentile touchdown. Bumblebees exhibit a similar strategy, but they regularly switch to a new constant optic-expansion-rate set-point. Meanwhile, landing birds fly at a constant time-to-contact to achieve faster landings. Here, we re-examined the landing strategy of honeybee by fitting the three models to individual approach flights of honeybees landing on platforms with varying optic-expansion cues. Surprisingly, the landing model identified in bumblebees proves to be the most suitable for these honeybees. This reveals that honeybees adjust their optic-expansion-rate in a stepwise manner. Bees flying at low optic-expansion-rates tended to stepwise increase their set-point, while those flying at high optic-expansion-rates tend to stepwise decrease it. This modular landing control system enables honeybees to land rapidly and reliably under a wide range of initial flight conditions and visual landing platform patterns. The remarkable similarity between the landing strategies of honeybees and bumblebees suggests that this may also be prevalent among other flying insects. Furthermore, these findings hold promising potential for bioinspired guidance systems in flying robots.</p>

opencc-zeroDec 2021View details →
ClinicalTrials.gov36/100

Environmental Localization Mapping and Guidance for Visual Prosthesis Users

ClinicalTrials.gov study NCT04359108. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad36/100

Data from: A tutorial for scanning electrochemical cell microscopy (SECCM) measurements: Step-by-Step instructions, visual resources, and guidance for first experiments

Open the record for dataset details and reuse information.

publicMar 2025View details →
dryad36/100

Data for: Visual guidance of honeybees approaching a vertical landing surface

Open the record for dataset details and reuse information.

publicAug 2023View details →
ClinicalTrials.gov24/100

Portable Visual Guidance System Phase II

ClinicalTrials.gov study NCT00848874. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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