Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

9

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

9 results for “Canopy Density”

Learn how ShareScore rates datasets ↗
edi40/100

Far northeastern Siberia boreal forest data: Canopy cover across a larch forest density gradient

This dataset includes canopy cover within four larch stands near Cherskii, Siberia collected in 2012-2013. Data have not been published.

openOpenDec 2013View details →
zenodo36/100

Relative Density Canopy Cover Outputs for Leon Lidar data in the Florida Panhandle 2018

<p>Forest cover and density metrics (RDCC) extracted from 2018 Lidar in the Florida panhandle Leon. These 5m horizontal resolution rasters consist of 28 bands of forest cover and density metrics created using the lidR R software package from 2018 Lidar data. The 28 bands are listed in the following table:&nbsp;</p> <table> <tbody> <tr> <td> <p>RDCC Band</p> </td> <td> <p>lidR short name</p> </td> <td> <p>Metric Description</p> </td> </tr> <tr> <td> <p>Band 1</p> </td> <td> <p>Num_Returns</p> </td> <td> <p>Total number of returns in cell</p> </td> </tr> <tr> <td> <p>Band 2&nbsp;</p> </td> <td> <p>Num_GrndRet</p> </td> <td> <p>Number of ground returns in cell</p> </td> </tr> <tr> <td> <p>Band 3</p> </td> <td> <p>Num_1stRet</p> </td> <td> <p>Number of first returns in cell</p> </td> </tr> <tr> <td> <p>Band 4</p> </td> <td> <p>Grnd_Elev</p> </td> <td> <p>Ground Elevations (above geoid, etc)</p> </td> </tr> <tr> <td> <p>Band 5</p> </td> <td> <p>Mn_RH</p> </td> <td> <p>Mean of all Relative Heights</p> </td> </tr> <tr> <td> <p>Band 6</p> </td> <td> <p>SD_RH</p> </td> <td> <p>Std. Dev of all Relative heights</p> </td> </tr> <tr> <td> <p>Band 7</p> </td> <td> <p>RHt_95th</p> </td> <td> <p>Relative Height 95%</p> </td> </tr> <tr> <td> <p>Band 8</p> </td> <td> <p>RHt_90th</p> </td> <td> <p>Relative Height 90%</p> </td> </tr> <tr> <td> <p>Band 9</p> </td> <td> <p>RHt_75th</p> </td> <td> <p>Relative Height 75%</p> </td> </tr> <tr> <td> <p>Band 10</p> </td> <td> <p>RHt_50th</p> </td> <td> <p>Relative Height 50%</p> </td> </tr> <tr> <td> <p>Band 11</p> </td> <td> <p>RHt_25th</p> </td> <td> <p>Relative Height 25%</p> </td> </tr> <tr> <td> <p>Band 12</p> </td> <td> <p>RHt_10th</p> </td> <td> <p>Relative Height 10%</p> </td> </tr> <tr> <td> <p>Band 13</p> </td> <td> <p>RHt_05th</p> </td> <td> <p>Relative Height&nbsp; 5%</p> </td> </tr> <tr> <td> <p>Band 14</p> </td> <td> <p>RD_2to10ft</p> </td> <td> <p>Relative Density 2 to 10 ft (Shrubs)</p> </td> </tr> <tr> <td> <p>Band 15</p> </td> <td> <p>RD_10to20ft</p> </td> <td> <p>Relative Density 10 to 20 ft (High shrub/low midstory)</p> </td> </tr> <tr> <td> <p>Band 16</p> </td> <td> <p>RD_20to49ft</p> </td> <td> <p>Relative Density 20 to 49 ft (High midstory)</p> </td> </tr> <tr> <td> <p>Band 17</p> </td> <td> <p>RD_gt2ft</p> </td> <td> <p>Relative Density all returns gt 2 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 18</p> </td> <td> <p>RD_gt10ft</p> </td> <td> <p>Relative Density all returns gt 10 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 19</p> </td> <td> <p>RD_gt20ft</p> </td> <td> <p>Relative Density all returns gt 20 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 20</p> </td> <td> <p>RD_gt49ft</p> </td> <td> <p>Relative Density greater than 49 ft (Canopy)</p> </td> </tr> <tr> <td> <p>Band 21</p> </td> <td> <p>CC_gt2ft</p> </td> <td> <p>Canopy Cover gt 2 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 22</p> </td> <td> <p>CC_gt10ft</p> </td> <td> <p>Canopy Cover gt 10 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 23</p> </td> <td> <p>CC_gt20ft</p> </td> <td> <p>Canopy Cover gt 20 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 24</p> </td> <td> <p>CC_gt49ft</p> </td> <td> <p>Canopy Cover gt 49 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 25</p> </td> <td> <p>MnRHgt2ft</p> </td> <td> <p>Mean of all relative heights gt 2 ft (includes shrubs, midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 26</p> </td> <td> <p>MnRHgt10ft</p> </td> <td> <p>Mean of all relative heights gt 10 ft (includes all midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 27</p> </td> <td> <p>MnRHgt20ft</p> </td> <td> <p>Mean of all relative heights gt 20 ft (includes high midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 28</p> </td> <td> <p>MnRHgt49ft</p> </td> <td> <p>Mean of all relative heights gt 49 ft (includes upper canopy)</p> </td> </tr> </tbody> </table> <p>Full descriptions of the creation of these raster outputs is available in the companion publication -&nbsp;https://www.mdpi.com/2072-4292/13/23/4763&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Relative Density Canopy Cover Outputs for Choctawhatchee Lidar data in the Florida Panhandle 2018

<p>Forest cover and density metrics (RDCC) extracted from 2018 Lidar in the Florida panhandle Choctawhatchee. These 5m horizontal resolution rasters consist of 28 bands of forest cover and density metrics created using the lidR R software package from 2018 Lidar data. The 28 bands are listed in the following table:&nbsp;</p> <table> <tbody> <tr> <td> <p>RDCC Band</p> </td> <td> <p>lidR short name</p> </td> <td> <p>Metric Description</p> </td> </tr> <tr> <td> <p>Band 1</p> </td> <td> <p>Num_Returns</p> </td> <td> <p>Total number of returns in cell</p> </td> </tr> <tr> <td> <p>Band 2&nbsp;</p> </td> <td> <p>Num_GrndRet</p> </td> <td> <p>Number of ground returns in cell</p> </td> </tr> <tr> <td> <p>Band 3</p> </td> <td> <p>Num_1stRet</p> </td> <td> <p>Number of first returns in cell</p> </td> </tr> <tr> <td> <p>Band 4</p> </td> <td> <p>Grnd_Elev</p> </td> <td> <p>Ground Elevations (above geoid, etc)</p> </td> </tr> <tr> <td> <p>Band 5</p> </td> <td> <p>Mn_RH</p> </td> <td> <p>Mean of all Relative Heights</p> </td> </tr> <tr> <td> <p>Band 6</p> </td> <td> <p>SD_RH</p> </td> <td> <p>Std. Dev of all Relative heights</p> </td> </tr> <tr> <td> <p>Band 7</p> </td> <td> <p>RHt_95th</p> </td> <td> <p>Relative Height 95%</p> </td> </tr> <tr> <td> <p>Band 8</p> </td> <td> <p>RHt_90th</p> </td> <td> <p>Relative Height 90%</p> </td> </tr> <tr> <td> <p>Band 9</p> </td> <td> <p>RHt_75th</p> </td> <td> <p>Relative Height 75%</p> </td> </tr> <tr> <td> <p>Band 10</p> </td> <td> <p>RHt_50th</p> </td> <td> <p>Relative Height 50%</p> </td> </tr> <tr> <td> <p>Band 11</p> </td> <td> <p>RHt_25th</p> </td> <td> <p>Relative Height 25%</p> </td> </tr> <tr> <td> <p>Band 12</p> </td> <td> <p>RHt_10th</p> </td> <td> <p>Relative Height 10%</p> </td> </tr> <tr> <td> <p>Band 13</p> </td> <td> <p>RHt_05th</p> </td> <td> <p>Relative Height&nbsp; 5%</p> </td> </tr> <tr> <td> <p>Band 14</p> </td> <td> <p>RD_2to10ft</p> </td> <td> <p>Relative Density 2 to 10 ft (Shrubs)</p> </td> </tr> <tr> <td> <p>Band 15</p> </td> <td> <p>RD_10to20ft</p> </td> <td> <p>Relative Density 10 to 20 ft (High shrub/low midstory)</p> </td> </tr> <tr> <td> <p>Band 16</p> </td> <td> <p>RD_20to49ft</p> </td> <td> <p>Relative Density 20 to 49 ft (High midstory)</p> </td> </tr> <tr> <td> <p>Band 17</p> </td> <td> <p>RD_gt2ft</p> </td> <td> <p>Relative Density all returns gt 2 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 18</p> </td> <td> <p>RD_gt10ft</p> </td> <td> <p>Relative Density all returns gt 10 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 19</p> </td> <td> <p>RD_gt20ft</p> </td> <td> <p>Relative Density all returns gt 20 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 20</p> </td> <td> <p>RD_gt49ft</p> </td> <td> <p>Relative Density greater than 49 ft (Canopy)</p> </td> </tr> <tr> <td> <p>Band 21</p> </td> <td> <p>CC_gt2ft</p> </td> <td> <p>Canopy Cover gt 2 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 22</p> </td> <td> <p>CC_gt10ft</p> </td> <td> <p>Canopy Cover gt 10 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 23</p> </td> <td> <p>CC_gt20ft</p> </td> <td> <p>Canopy Cover gt 20 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 24</p> </td> <td> <p>CC_gt49ft</p> </td> <td> <p>Canopy Cover gt 49 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 25</p> </td> <td> <p>MnRHgt2ft</p> </td> <td> <p>Mean of all relative heights gt 2 ft (includes shrubs, midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 26</p> </td> <td> <p>MnRHgt10ft</p> </td> <td> <p>Mean of all relative heights gt 10 ft (includes all midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 27</p> </td> <td> <p>MnRHgt20ft</p> </td> <td> <p>Mean of all relative heights gt 20 ft (includes high midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 28</p> </td> <td> <p>MnRHgt49ft</p> </td> <td> <p>Mean of all relative heights gt 49 ft (includes upper canopy)</p> </td> </tr> </tbody> </table> <p>Full descriptions of the creation of these raster outputs is available in the companion publication -&nbsp;https://www.mdpi.com/2072-4292/13/23/4763&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Relative Density Canopy Cover Outputs for Block3 Lidar data in the Florida Panhandle 2018

<p>Forest cover and density metrics (RDCC) extracted from 2018 Lidar in the Florida panhandle Block 3. These 5m horizontal resolution rasters consist of 28 bands of forest cover and density metrics created using the lidR R software package from 2018 Lidar data. The 28 bands are listed in the following table:&nbsp;</p> <table> <tbody> <tr> <td> <p>RDCC Band</p> </td> <td> <p>lidR short name</p> </td> <td> <p>Metric Description</p> </td> </tr> <tr> <td> <p>Band 1</p> </td> <td> <p>Num_Returns</p> </td> <td> <p>Total number of returns in cell</p> </td> </tr> <tr> <td> <p>Band 2&nbsp;</p> </td> <td> <p>Num_GrndRet</p> </td> <td> <p>Number of ground returns in cell</p> </td> </tr> <tr> <td> <p>Band 3</p> </td> <td> <p>Num_1stRet</p> </td> <td> <p>Number of first returns in cell</p> </td> </tr> <tr> <td> <p>Band 4</p> </td> <td> <p>Grnd_Elev</p> </td> <td> <p>Ground Elevations (above geoid, etc)</p> </td> </tr> <tr> <td> <p>Band 5</p> </td> <td> <p>Mn_RH</p> </td> <td> <p>Mean of all Relative Heights</p> </td> </tr> <tr> <td> <p>Band 6</p> </td> <td> <p>SD_RH</p> </td> <td> <p>Std. Dev of all Relative heights</p> </td> </tr> <tr> <td> <p>Band 7</p> </td> <td> <p>RHt_95th</p> </td> <td> <p>Relative Height 95%</p> </td> </tr> <tr> <td> <p>Band 8</p> </td> <td> <p>RHt_90th</p> </td> <td> <p>Relative Height 90%</p> </td> </tr> <tr> <td> <p>Band 9</p> </td> <td> <p>RHt_75th</p> </td> <td> <p>Relative Height 75%</p> </td> </tr> <tr> <td> <p>Band 10</p> </td> <td> <p>RHt_50th</p> </td> <td> <p>Relative Height 50%</p> </td> </tr> <tr> <td> <p>Band 11</p> </td> <td> <p>RHt_25th</p> </td> <td> <p>Relative Height 25%</p> </td> </tr> <tr> <td> <p>Band 12</p> </td> <td> <p>RHt_10th</p> </td> <td> <p>Relative Height 10%</p> </td> </tr> <tr> <td> <p>Band 13</p> </td> <td> <p>RHt_05th</p> </td> <td> <p>Relative Height&nbsp; 5%</p> </td> </tr> <tr> <td> <p>Band 14</p> </td> <td> <p>RD_2to10ft</p> </td> <td> <p>Relative Density 2 to 10 ft (Shrubs)</p> </td> </tr> <tr> <td> <p>Band 15</p> </td> <td> <p>RD_10to20ft</p> </td> <td> <p>Relative Density 10 to 20 ft (High shrub/low midstory)</p> </td> </tr> <tr> <td> <p>Band 16</p> </td> <td> <p>RD_20to49ft</p> </td> <td> <p>Relative Density 20 to 49 ft (High midstory)</p> </td> </tr> <tr> <td> <p>Band 17</p> </td> <td> <p>RD_gt2ft</p> </td> <td> <p>Relative Density all returns gt 2 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 18</p> </td> <td> <p>RD_gt10ft</p> </td> <td> <p>Relative Density all returns gt 10 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 19</p> </td> <td> <p>RD_gt20ft</p> </td> <td> <p>Relative Density all returns gt 20 ft (for comp w/ CC)</p> </td> </tr> <tr> <td> <p>Band 20</p> </td> <td> <p>RD_gt49ft</p> </td> <td> <p>Relative Density greater than 49 ft (Canopy)</p> </td> </tr> <tr> <td> <p>Band 21</p> </td> <td> <p>CC_gt2ft</p> </td> <td> <p>Canopy Cover gt 2 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 22</p> </td> <td> <p>CC_gt10ft</p> </td> <td> <p>Canopy Cover gt 10 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 23</p> </td> <td> <p>CC_gt20ft</p> </td> <td> <p>Canopy Cover gt 20 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 24</p> </td> <td> <p>CC_gt49ft</p> </td> <td> <p>Canopy Cover gt 49 ft (based only on first returns)</p> </td> </tr> <tr> <td> <p>Band 25</p> </td> <td> <p>MnRHgt2ft</p> </td> <td> <p>Mean of all relative heights gt 2 ft (includes shrubs, midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 26</p> </td> <td> <p>MnRHgt10ft</p> </td> <td> <p>Mean of all relative heights gt 10 ft (includes all midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 27</p> </td> <td> <p>MnRHgt20ft</p> </td> <td> <p>Mean of all relative heights gt 20 ft (includes high midstory and upper canopy)</p> </td> </tr> <tr> <td> <p>Band 28</p> </td> <td> <p>MnRHgt49ft</p> </td> <td> <p>Mean of all relative heights gt 49 ft (includes upper canopy)</p> </td> </tr> </tbody> </table> <p>Full descriptions of the creation of these raster outputs is available in the companion publication -&nbsp;https://www.mdpi.com/2072-4292/13/23/4763&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Relative Density Canopy Cover Outputs for Block2 Lidar data in the Florida Panhandle 2018

<p>Forest cover and density metrics (RDCC) extracted from 2018 Lidar in the Florida panhandle Block 2. These 5m horizontal resolution rasters consist of 28 bands of forest cover and density metrics created using the lidR R software package from 2018 Lidar data. The 28 bands are listed in the following table:&nbsp;</p> <table> <tbody> <tr> <td>RDCC Band</td> <td>lidR short name</td> <td>Metric Description</td> </tr> <tr> <td>Band 1</td> <td>Num_Returns</td> <td>Total number of returns in cell</td> </tr> <tr> <td>Band 2&nbsp;</td> <td>Num_GrndRet</td> <td>Number of ground returns in cell</td> </tr> <tr> <td>Band 3</td> <td>Num_1stRet</td> <td>Number of first returns in cell</td> </tr> <tr> <td>Band 4</td> <td>Grnd_Elev</td> <td>Ground Elevations (above geoid, etc)</td> </tr> <tr> <td>Band 5</td> <td>Mn_RH</td> <td>Mean of all Relative Heights</td> </tr> <tr> <td>Band 6</td> <td>SD_RH</td> <td>Std. Dev of all Relative heights</td> </tr> <tr> <td>Band 7</td> <td>RHt_95th</td> <td>Relative Height 95%</td> </tr> <tr> <td>Band 8</td> <td>RHt_90th</td> <td>Relative Height 90%</td> </tr> <tr> <td>Band 9</td> <td>RHt_75th</td> <td>Relative Height 75%</td> </tr> <tr> <td>Band 10</td> <td>RHt_50th</td> <td>Relative Height 50%</td> </tr> <tr> <td>Band 11</td> <td>RHt_25th</td> <td>Relative Height 25%</td> </tr> <tr> <td>Band 12</td> <td>RHt_10th</td> <td>Relative Height 10%</td> </tr> <tr> <td>Band 13</td> <td>RHt_05th</td> <td>Relative Height&nbsp; 5%</td> </tr> <tr> <td>Band 14</td> <td>RD_2to10ft</td> <td>Relative Density 2 to 10 ft (Shrubs)</td> </tr> <tr> <td>Band 15</td> <td>RD_10to20ft</td> <td>Relative Density 10 to 20 ft (High shrub/low midstory)</td> </tr> <tr> <td>Band 16</td> <td>RD_20to49ft</td> <td>Relative Density 20 to 49 ft (High midstory)</td> </tr> <tr> <td>Band 17</td> <td>RD_gt2ft</td> <td>Relative Density all returns gt 2 ft (for comp w/ CC)</td> </tr> <tr> <td>Band 18</td> <td>RD_gt10ft</td> <td>Relative Density all returns gt 10 ft (for comp w/ CC)</td> </tr> <tr> <td>Band 19</td> <td>RD_gt20ft</td> <td>Relative Density all returns gt 20 ft (for comp w/ CC)</td> </tr> <tr> <td>Band 20</td> <td>RD_gt49ft</td> <td>Relative Density greater than 49 ft (Canopy)</td> </tr> <tr> <td>Band 21</td> <td>CC_gt2ft</td> <td>Canopy Cover gt 2 ft (based only on first returns)</td> </tr> <tr> <td>Band 22</td> <td>CC_gt10ft</td> <td>Canopy Cover gt 10 ft (based only on first returns)</td> </tr> <tr> <td>Band 23</td> <td>CC_gt20ft</td> <td>Canopy Cover gt 20 ft (based only on first returns)</td> </tr> <tr> <td>Band 24</td> <td>CC_gt49ft</td> <td>Canopy Cover gt 49 ft (based only on first returns)</td> </tr> <tr> <td>Band 25</td> <td>MnRHgt2ft</td> <td>Mean of all relative heights gt 2 ft (includes shrubs, midstory and upper canopy)</td> </tr> <tr> <td>Band 26</td> <td>MnRHgt10ft</td> <td>Mean of all relative heights gt 10 ft (includes all midstory and upper canopy)</td> </tr> <tr> <td>Band 27</td> <td>MnRHgt20ft</td> <td>Mean of all relative heights gt 20 ft (includes high midstory and upper canopy)</td> </tr> <tr> <td>Band 28</td> <td>MnRHgt49ft</td> <td>Mean of all relative heights gt 49 ft (includes upper canopy)</td> </tr> </tbody> </table> <p>Full descriptions of the creation of these raster outputs is available in the companion publication -&nbsp;https://www.mdpi.com/2072-4292/13/23/4763&nbsp;</p>

opencc-by-4.0Aug 2023View details →
dryad36/100

Does increasing canopy liana density decrease the tropical forest carbon sink?

Open the record for dataset details and reuse information.

publicSep 2025View details →
dryad32/100

Data from: Functional attributes of savannah soils: contrasting effects of tree canopies and herbivores on bulk density, nutrients and moisture dynamics

Open the record for dataset details and reuse information.

publicJun 2015View details →
dryad28/100

Correlation and co-localization of QTLs for stomatal density, canopy temperature, and productivity with and without drought stress in Setaria

Open the record for dataset details and reuse information.

publicFeb 2022View details →
nasa28/100

BOREAS HYD-03 Canopy Density Data

The BOREAS HYD-03 team collected several data sets related to the hydrology of forested areas. This data set contains measurements of canopy density (closure) from a variety of sites. Canopy density measurements were made during the FFC-W and FFC-T 1994 in both the SSA and NSA using a forest densiometer. This study was undertaken to predict spatial distributions of energy transfer, snow properties important to the hydrology, remote sensing signatures, and transmissivity of gases through the snow and their relation to forests in boreal ecosystems.

restrictednotspecifiedApr 2025View 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.