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1,506 results for “objects”

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dryad36/100

Urban and rural chickadee response to novel object and simulated predator

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publicJun 2024View details →
dryad36/100

Processed data objects for snPATHO-seq paper

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publicOct 2024View details →
dryad36/100

Data from: Objective autonomic signatures of tinnitus and sound sensitivity disorders

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publicApr 2025View details →
dryad36/100

Provision of high meat content food and object play reduce predation of wild animals by domestic cats Felis catus

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publicFeb 2021View details →
dryad36/100

Data and code for: Why are biting flies attracted to blue objects?

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publicJun 2023View details →
dryad36/100

Quantitative analysis of subcellular distributions with an open-source, object-based tool

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publicJan 2021View details →
dryad36/100

Data for: Attributes of CloudSat identified echo objects

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publicFeb 2023View details →
dryad36/100

Repeated fuel treatments fall short of fire-adapted regeneration objectives in a Sierra Nevada mixed conifer forest, USA

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publicNov 2024View details →
dryad36/100

The dilemma of objective function selection for sensitivity and uncertainty analyses of semi-distributed hydrologic models across spatial and temporal scales

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publicJan 2025View details →
dryad36/100

The optimal time to approach an unfamiliar object: A Bayesian model

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publicApr 2023View details →
dryad36/100

Behavioral responses to a series of similar but distinct novel objects in house sparrows

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publicMar 2023View details →
dryad36/100

Spike-timing based coding in neuromimetic tactile system enables dynamic object classification

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publicMar 2024View details →
dryad36/100

Datasets for: PARNAS: Objectively selecting the most representative taxa on a phylogeny

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publicApr 2023View details →
dryad36/100

Supplementary methods and data for: Dogs with a vocabulary of object label remember labels for at ‎least two years

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publicApr 2024View details →
dryad36/100

3,832 annotated images of scanned Hollywood pressbooks for object detection Model

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publicOct 2025View details →
dryad36/100

EEG responses to camouflage objects

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publicJul 2024View details →
dryad36/100

Data from: Treefrogs exploit temporal coherence to form perceptual objects of communication signals

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publicSep 2020View details →
zenodo32/100

Brainport, Automated valet parking, RS camera object detection

<p><strong>Scenario description</strong>:</p> <p>RS Camera object detection and publication of the iot message from type AutoPilot.ObjectDetection to the PMS via IoT platforms</p> <p><strong>Session description</strong>:</p> <p>A car drive on the AVP road segment and stop and the RS camera detect the car as obstacle and send the obstacle information to the PMS for free obstacle route calculation for AD-car</p> <p><strong>Datasets descriptions</strong>:</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle</p> <p>Dataset Description This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_DroneAvpCommand</strong>: Data sent from drone</p> <p>Dataset Description This dataset contains route information for a vehicle to a designated parking spot</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with absolute coordinates</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with relative coordinates</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services</p> <p>Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle.</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_ParkingSpotDetection</strong>: Data sent from drone to parkingService</p> <p>Dataset Description This dataset contains informaton about detected parking spots</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystem</strong>: Data from GPS on the vehicle</p> <p>Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystemResampled</strong>: Data from GPS on the vehicle</p> <p>Dataset Description This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o temperature and battery state of the vehicles</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpCommand</strong>: Data sent from ParkingService to vehicle</p> <p>Dataset Description This dataset contains route to parkingspot, and some other environmental information</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpStatus</strong>: Data sent from vehicle to ParkingService</p> <p>Dataset Description This dataset contains information about the current status and parkingstatus of the vehicle</p> <p><strong>AUTOPILOT_BrainPort_AutomatedValetParking_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p>

opencc-by-4.0Jan 2020View details →
zenodo32/100

3D models of Catalhoyuk reconstructed houses and objects

<p>3D models of the Catalhoyuk reconstructed houses and objects included in the EMOTIVE Catalhoyuk virtual reality experience. More information can be found here: https://emotiveproject.eu/index.php/what-we-do/experiences/</p>

opencc-by-4.0Feb 2020View details →
zenodo32/100

Sample Research Object for Zenodo

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque sodales, dolor imperdiet viverra gravida, turpis est aliquet nisi, vel fermentum augue nisi ut mi. Curabitur placerat egestas scelerisque. Nunc sit amet justo non eros rhoncus egestas a semper dui. Sed at ipsum nec elit sodales rhoncus. Fusce vel ante id mi consectetur tincidunt. Proin lobortis dui vel nunc lacinia pellentesque. Sed pretium justo quis dolor ornare, in egestas turpis eleifend. Sed tellus tellus, fermentum cursus ligula vitae, tincidunt consectetur velit. Vivamus a magna varius, pulvinar purus quis, molestie odio. Nam auctor semper nisi at vehicula. Vestibulum et dui quis metus fringilla tempus. Integer vitae purus nisi. Curabitur a elit at eros mattis lobortis et at lectus.

opencc-by-4.0Apr 2020View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.