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Brain imaging (fMRI, EEG), neural recordings, connectome, cognitive experiments, psychology
1,805 datasets
This dataset supports visualization methods for analyzing ionic current dynamics in conductance-based neural models. It contains data from six example bursting model neurons with similar activity but up to a 3-fold difference in conductance densities. The data illustrates changes in membrane potential waveforms and current contributions under perturbations.
This dataset provides empirical evidence for a quantum Zeno effect in human decision-making processes. It was created by James M. Yearsley and published in 2020 to support the application of quantum principles in decision theory.
Aggregating neuroimaging data from a study assessing raclopride binding to striatal dopamine D2 receptors during a letter-updating task and a control condition. The data was collected before and after 5 weeks of updating training, with findings showing training increased striatal dopamine release during the task. The dataset was authored by Lars Bäckman and published in 2020.
Featuring fMRI data from a within-subject pharmacological challenge study investigating opioidergic mechanisms in hedonic processing. The study used the opioid receptor antagonist naloxone to measure its effect on neural activation in regions like the ventral striatum and amygdala during reward delivery versus anticipation. The dataset was authored by Christian Buchel and last updated in June 2020.
Data from a study investigating metacognitive illusions in monkeys using a match-to-sample task. The dataset contains information on monkey confidence wagers and accuracy when perceptual fluency of stimuli was manipulated. It was authored by Stephen Ferrigno and published in 2020.
2020 data from a study by Yusuke Tomina applying a double-sided voltage-sensitive dye microscope to the segmental ganglia of the medicinal leech Hirudo verbana. The dataset contains simultaneous recordings of membrane potential dynamics from nearly all identifiable neurons in the ganglion, enabling analysis of neuronal network activity during sensory processing and motor control.
Data from a 2020 study by Do-Hyoung Kim investigating the role of tetrahydrobiopterin (BH4) in regulating feeding behavior in Drosophila. The dataset supports findings on BH4 biosynthesis enzymes Punch, Purple, and Sepiapterin Reductase (Sptr) and their effects on neuropeptide F (NPF) neurons. It includes experimental results linking fat-body-derived BH4 to satiety signaling.
2020 research by Mario Senden provides data for evaluating frameworks that estimate population receptive fields (pRFs) from fMRI signals. The study systematically compares the effects of stimulus choice, presentation mode, and BOLD signal averaging on pRF parameter estimates. It concludes with an analysis of the temporal consistency of pRFs across two separate measurement sessions.
12,336 participants from the Atherosclerosis Risk in Communities (ARIC) study were assessed for systemic inflammation using biomarkers like fibrinogen and C-reactive protein (CRP) during midlife. Their cognitive function in memory, executive function, and language was tracked over three visits spanning 20 years. The data supports analyses of associations between specific inflammatory markers and long-term cognitive trajectories.
Aggregating fMRI brain activity data from supporters of a radical Islamist group in Barcelona, Spain, measuring their willingness to fight and die for sacred and non-sacred values. The study was authored by Nafees Hamid and published in 2019.
Boundaries for the different stages of the Natural Risk Prevention Plan (PPRN) for Megève in Haute-Savoie, France. The dataset includes prescribed, regulated, and study perimeters, each defined by an official act with a specific effective date. The data was provided by the Bureau de Recherches Géologiques et Minières and last updated on March 29, 2019.
Regulated zones defined by the natural risk prevention plan (PPR) for Megève, Haute-Savoie, approved on 14/08/2012. The dataset, provided by the Bureau de Recherches Géologiques et Minières (BRGM), categorizes areas based on hazard levels as defined in Article L562-1 of the French Environmental Code. It was last updated on the platform in March 2019.
Erebus volcano in Antarctica was monitored for hydrogen, sulfur dioxide, water, and carbon dioxide emissions from its lava lake between December 2010 and January 2011. The dataset includes measurements from low-cost electrochemical sensors and experimental phase equilibria data from 900 to 1025°C. It was produced by the organization SCIOPS.
NCEI Accession 0161716 contains navigational and physical oceanographic data collected at the Astoria-Megler Bridge South Channel fixed station in the Columbia River estuary. The Center for Coastal Margin Observation & Prediction collected the data, which includes measurements of conductivity, salinity, water temperature, depth, and hydrostatic pressure at frequent intervals from March 1998 to September 2010. NANOOS assembled and submitted the data to NOAA NCEI as part of the Integrated Ocean Observing System Data Assembly Centers Data Stewardship Program.
CTD cast data from the R/V Meg L. Skansi captures oceanographic conditions in the Gulf of Mexico during September 2010. The Subsurface Monitoring Unit collected profiles of water density, salinity, temperature, and dissolved oxygen following the Deepwater Horizon oil spill. These quality-assured measurements document the marine environment's physical and chemical state in the immediate aftermath of a major environmental disaster.
Airborne magnetic, gravity, and ice radar data acquired during the Prince Charles Mountains Expedition of Germany-Australia (PCMEGA) to investigate sub-ice geology. The dataset was used to model tectonic terranes and a Neoproterozoic sedimentary basin with a calculated volume of approximately 35,000 cubic kilometers. It was provided by the Australian Antarctic Data Centre (AU_AADC) and last updated in March 2006.
Laboratory measurements of firn density and permeability from cores drilled at the WAIS Divide and Megadunes sites in Antarctica. The data covers the lock-in zone through pore close-off. Collected by the AMD_USAPDC organization and last updated in 2005.
GPR and GPS data capture the internal layering and surface characteristics of snow megadunes across a 60 km² study area on the East Antarctic Plateau. The dataset was collected during two field seasons in 2002 and 2003-2004 by researchers from the AMD_USAPDC. It aims to refine models of dune formation and assess their impact on paleoclimate records derived from ice cores.
Physical property measurements from snow pits and firn cores collected in Antarctica. The data includes density, permeability, diffusivity, and microstructure (grain and pore size) for snow pits up to 2 meters and firn cores from 12 to 30 meters. It was published by AMD_USAPDC on NASA EarthData and last updated in January 2004.
December 2002 to January 2003 data collected by the Prince Charles Mountains Expedition of Germany and Australia (PCMEGA). The dataset contains airborne gravity and magnetometer measurements from a survey covering the Prince Charles Mountains in Antarctica, flown by Fugro Airborne Surveys. It includes 29,844 line kilometres of data with precise geodetic and instrument specifications.