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461 results for “Electrophysiology”

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zenodo40/100

Fig. 6 in Antennal sensillum morphology and electrophysiological responses of olfactory receptor neurons in trichoid sensilla of the diamondback moth (Lepidoptera: Plutellidae)

Fig. 6. Detailed surface morphology of sensilla coeloconica (A, B and C) and sensilla auricillica (D, E and F) of the antennae of Plutela xylostella.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 8 in Antennal sensillum morphology and electrophysiological responses of olfactory receptor neurons in trichoid sensilla of the diamondback moth (Lepidoptera: Plutellidae)

Fig. 8. Traces of the response spikes of the olfactory receptor neurons (ORNs) in class A trichoid sensilla of female Plutella xylostella in response to various green leaf volatiles. Each trace shows the extracellular signals for a period of 5 s. The scale bar indicates the stimulation for 0.1 s with corresponding test stimulus.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 9 in Antennal sensillum morphology and electrophysiological responses of olfactory receptor neurons in trichoid sensilla of the diamondback moth (Lepidoptera: Plutellidae)

Fig. 9. Traces of the response spikes of the olfactory receptor neurons (ORNs) in class D trichoid sensilla of female Plutella xylostella in response to geraniol and (±)-linalool. Each trace shows the extracellular signals for a period of 5 s. The scale bar indicates the stimulation for 0.1 s with corresponding test stimulus.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 1 in Antennal sensillum morphology and electrophysiological responses of olfactory receptor neurons in trichoid sensilla of the diamondback moth (Lepidoptera: Plutellidae)

Fig. 1. The length (triangles) and diam (squares) of each flagellar subsegment of the antennae of female (A) and male (B) diamondback moth, Plutella xylostella. Data obtained from 3 females and 5 males.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Fig. 5 in Antennal sensillum morphology and electrophysiological responses of olfactory receptor neurons in trichoid sensilla of the diamondback moth (Lepidoptera: Plutellidae)

Fig. 5. Detailed surface morphology of the sensilla trichodea (A, B, C and D) and sensilla chaetica (A, B and E) of the antennae of Plutela xylostella.

opencc-by-4.0Jun 2016View details →
zenodo40/100

Electrophysiological recordings from human-derived cardiomyocytes in the form of MEA (microelectrode array) recordings

<p><span>The electrophysiological data were acquired using standard software for MEA acquisition, such as the programs provided with the used MEA acquisition system coupled with the SiMulTox prototype.</span></p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170127_03

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170127_03&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jan 2018View details →
zenodo40/100

BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 4. Histogram age distributions of the 100 Schizophrenia patients illustrating clusters of patients at 20, 30, 40, and 50 years old.

<p>The figure below is a histogram distribution of the ages of one hundred Schizophrenia<br> patients in this study. There appears to be a cyclical peak every ten-years cycles at 20, 30, 40, and<br> 50-year-old patients. This may suggest a recent finding that CD8 T cells, which play a pivotal role<br> in mediating long-term immunity to Toxoplasma, are down-regulated in schizophrenia patients<br> (Bhadra et al., 2013). Based on the aforementioned statements, a vaccine for Toxoplasmosis may be<br> difficult to achieve, but the treatment and screening possibilities in patients with psychosis are<br> available today.</p>

opencc-by-4.0Dec 2014View details →
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BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 3. Resulting comparisons isolating the Dopamine D2 Mesolimbic Pathway

<p>Moreover, a study in Prague identified that Toxoplasmosis triggers schizophrenia in<br> predisposed subjects (Flegr et al., 2014). It may very well be that the Toxoplasmosis parasite<br> increasing dopamine secretions in the frontal lobes may very well lead to decreased cerebral<br> volumes. Cat feces, sexual contact, and eating raw or undercooked pork are well known transmitters<br> of the Toxoplasmosis parasite and may be advisable that patients take precautions of the possibility<br> of these triggering symptoms of psychosis with these possible routes of infection. Another adjunct to Atypical Antipsychotics may be to treat the potential cerebral Toxoplasmosis infection with<br> Cotrimoxazole or Pyrimethamine/Clindamycin.</p>

opencc-by-4.0Dec 2014View details →
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BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 2. Resting State neuroimaging findings illustrating the action of atypical antipsychotics on postsynaptic dopamine D2

<p>Contrastingly, the results of the one-hundred males and females diagnosed with<br> Schizophrenia compared to the thirty-two females diagnosed with Major Depressive Disorder or<br> Depressive Episodes. The one-hundred male and female Schizophrenia patients had an average age<br> of 32-years-old and a Standard Deviation of 11.8-years. Whereas, the Depressive Episode and<br> Major Depressive Disorder females had an average age of 50-years old and a Standard Deviation of<br> 11.7-years. The statistically significant neuroimaging results identified the Delta (1.5&ndash;6 Hz)<br> frequency band at the neuroanatomical location of the region of the Superior Frontal Gyrus<br> (p=0.007; t=2.08, BA 10, X=25, Y=55, Z=30) with greater neuronal oscillations and synchrony in<br> the one-hundred males and females diagnosed with Schizophrenia than the thirty-two females<br> diagnosed with Depressive Episodes and Major Depressive Disorder.</p>

opencc-by-4.0Dec 2014View details →
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BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 12 Anorexia Nervosa Patients to 12 Controls-Figure 2: All axial slices of sLORETA imaging results of Resting State EEG Supra-Threshold Voxels in both the Parahippocampal (limbic) and Fusiform (temporal) Gyri illustrating decreased neuronal activity in the Anorexia Nervosa patients.

<p>Results from the sLORETA imaging indicates decreased neuronal activation within the Left<br> Fusiform Gyrus located in the Temporal lobe and Parrahippocampal gyrus, which is located in the<br> Limbic Lobe (Table 1). This correlates with other fMRI findings where patients with early onset<br> AN have exhibited reduced unilateral blood flow in the temporal lobe. The Parahippocampal and<br> Fusiform Gyri are centers that process emotions. Previous studies in which these regions have<br> shown activation involve women that have distorted perceptions of their bodies from a cognitive<br> perspective (Santel et al., 2006). It is apparent from our findings that the Fusiform Gyrus may play<br> a vital role in the processing of visual appearance of the human body. There is also a correlation<br> with the somatosensory limbic pathway in the limbic lobe, due to the similarity of function.</p>

opencc-by-4.0Dec 2014View details →
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BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 1. Group comparisons designed for isolating the mesolimbic Dopamine D2

<p>All patients diagnosed with Schizophrenia were medicated with atypical antipsychotics, Olanzapine (dose 5mg/day to 20mg/day) or Risperidone (dose 1mg/day to 4mg/day) blocking both Dopamine D2 and Serotonin 5-HT2 receptors. Whereas, all of the patients diagnosed with Major Depression or Depressive Episode were medicated with Sertraline (50mg/day to 200mg/day maximum dose) or Citalopram (20mg/day to 40mg/day maximum dose). This research protocol was approved by the Bioethical Commission of the Medical University of Lublin.&nbsp;</p>

opencc-by-4.0Dec 2014View details →
zenodo40/100

BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 12 Anorexia Nervosa Patients to 12 Controls-Figure 1: sLORETA imaging results of Resting State EEG Supra-Threshold Voxels in both the Parahippocampal (limbic) and Fusiform (temporal) Gyri illustrating decreased neuronal activity in the Anorexia Nervosa patients relative to Control participants

<p>The findings of the sLORETA analysis indicated that, the difference is statistically<br> significant (p=0.03) using a one-tailed t-test: Anorexia &gt; Controls. The brains of the patients with<br> Anorexia Nervosa illustrated decreased neuronal activity in the Left Fusiform Gyrus and the Left<br> Parahippocampal Gyrus (p=0.03) in the resting-state brains when Anorexia Patients were sitting for<br> 3min, as compared to the Controls sitting for 3minutes.</p>

opencc-by-4.0Dec 2014View details →
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Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170124_01

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170124_01&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jan 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170123_02

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170123_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Feb 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161220_02

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161220_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jun 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161207_02

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161207_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161212_02

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161212_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161206_02

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161206_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161026_03

<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161026_03&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>

opencc-by-4.0Jul 2018View 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