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.

2,045

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2,045 results for “Plan S”

Learn how ShareScore rates datasets ↗
zenodo36/100

Instances for Multi-Commodity Supply Vessel Planning Problem With Order Selection and Time Window Decisions

<p>Instances for Multi-Commodity Supply Vessel Planning Problem With Order Selection and Time Window Decisions</p>

openother-openNov 2021View details →
zenodo36/100

Bhitri (Saidpur, Uttar Pradesh). Site plan.

<p>Bhitri (Saidpur, Uttar Pradesh). Site plan showing areas excavated 1968-73 by K K Sinha under the auspices of the Department of Ancient Indian History, Culture and Archaeology, BHU.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

The National Composite Index for Family Planning (NCIFP): results and methodological issues

<p>This dataset accompanies a paper under consideration for publication in Gates Open Research by Rebecca Rosenberg, John Ross, Karen Hardee and Imelda Zosa-Feranil. The file includes raw data, as well as a tab&nbsp;for each table and figure in the paper.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network

<p>The file uploaded provides input data for the paper &quot;A multi-uncertainty-set-based robust transmission expansion planning model using an efficient linear AC network&quot;.</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Program Determinants of Unmet Need for Family Planning

<p>This data file accompanies a paper submitted for publication in PLOS ONE by Rebecca Rosenberg, John Ross, Karen Hardee and Imelda Zosa-Feranil. The file includes a separate tab for each table and figure in the paper.</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation

<p>Input and output data associated with the paper Co-Optimization of Reservoir and Power Systems (COREGS) for Seasonal Planning and Operation. Can be used with the COREGS model at https://github.com/lcford2/coregs.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Database of Systematic review of the literature. Planning of ICT in educational centers

<pre>These documents include a database of RSL articles developed on strategic planning in the integration of ICT in educational centers.</pre>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Raw Sensor Data for STRIDE Project J "Improving Work Zone Mobility through Planning, Design and Operations"

<p>This dataset contains the raw traffic data from 9 sensors located on I-59 southbound near Tuscaloosa, Alabama, from October 3 to October 16, 2016.&nbsp; These data were used in the research for&nbsp;STRIDE Project J &quot;Improving Work Zone Mobility through Planning, Design and Operations&quot; and described in the STRIDE Final Project for this project.</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Research data: "Effects of Network Structures on the Production Planning in Closed-loop Supply Chains – A Case Study based Analysis for Lithium-ion Batteries in Europe"

<p>This data set belongs to the paper Effects of Network Structures on the Production Planning in Closed-loop Supply Chains &ndash; A Case Study based Analysis for Lithium-ion Batteries in Europe in the International Journal of Production Economics (DOI). The BatPac model, as well as, the model for the economic assessment of the recycling route are not included. The needed data can be found in the file (name). Further, the BatPaC model can be gather from the website of Argonne National Laboratory and the assessment tool for the recycling routes via this DOI: 10.5281/zenodo.6500946.</p> <p>&nbsp;</p> <p>This work is part of the research project Recycling 4.0 (EFRE | ZW 6-85018080), which is funded by the European Regional Development Fund and managed by the development bank for the German federal state of Lower Saxony (NBank).</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Grain Size Distribution of slickenlines from Plan de los Platanos and Big Piute Faults

<p>Grain Size Distribution (GSD) of&nbsp;Plan de Platanos (<strong>PP</strong>) and Big Piute (<strong>BP</strong>) Fault Slickenlines</p> <p>Grains were manually segmented from images&nbsp;of increasing magnifications obtained through optical&nbsp;and SEM microscopy. The size of the grains was then estimated from the grains&#39; area by calculating&nbsp;the diameter (<strong>d<sub>equ</sub></strong>) of a circle of equivalent area.</p> <p><strong>Instruments:</strong></p> <ul> <li>ZEISS AX10 Petrographic microscope</li> <li>ZEISS Merlin HR-SEM (BSE)</li> </ul> <p><strong>PP</strong>---&gt; sample <strong>PP_AU01a</strong>_--&gt; Orientation <strong>XZ</strong>----&gt;N=8617-----&gt;andesite</p> <p><strong>BP</strong>---&gt; sample <strong>BP_07b</strong>--&gt; Orientation <strong>YZ</strong>----&gt;N=11425------&gt;quartzite</p> <p><strong>Unit&nbsp; of length (1st colum): </strong>micro meters <strong>(&micro;m</strong>)</p> <p>We use Tikoff et al (2019) naming convention for thin section orientation.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Tikoff, B., Chatzaras, V., Newman, J., &amp; Roberts, N. M. (2019). Big data in microstructure analysis: Building a universal orientation system for thin sections. <em>Journal of Structural Geology</em>, <em>125</em>, 226&ndash;234. https://doi.org/10.1016/j.jsg.2018.09.019</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Dataset (NWB format) from Gao et al (2018) A cortico-cerebellar loop for motor planning. Nature, Nov;563(7729):113-116.

<p><strong>Summary</strong></p> <p>These experiments measure neuronal responses from anterior lateral motor cortex (ALM) and deep cerebellar nucleus (CN) of adult mice performing pole location discrimination with a short-term memory. In some cases, we manipulate activity of one brain region while recording from the other region.</p> <p>&nbsp;</p> <p>Dataset:</p> <p><em>Li N (2018). Extracellular recordings from anterior lateral motor cortex (ALM) and cerebellar nucleus neurons of adult mice performing a tactile decision behavior. </em></p> <p>&nbsp;</p> <p>Data included in this release:</p> <p>34 sessions (9 mice), ALM recording during fastigial or dentate photoactivation</p> <p>20 sessions (4 mice), ALM recording during DCN photoinhibition</p> <p><em>(Data already available at: </em><a href="http://dx.doi.org/10.6080/K0NS0S26"><em>http://dx.doi.org/10.6080/K0NS0S26</em></a><em>)</em></p> <p>&nbsp;</p> <p>185 sessions (18 mice), CN recording. In some sessions, ALM photoinhibition was tested</p> <p><em>(Data included in this release. Data is in NWB format).</em></p> <p>&nbsp;</p> <p>Data from the follow publication:</p> <p><em>Gao Z, Davis C, Thomas AM, Economo MN, Abrego AM, Svoboda K, De Zeeuw CI, Li N (2018). A cortico-cerebellar loop for motor planning. Nature, Nov;563(7729):113-116. doi: 10.1038/s41586-018-0633-x. Epub 2018 Oct 17.</em></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Animals</strong></p> <p>This dataset contains data from 31 mice (age &gt;&nbsp;P60, both male and female mice, Supplemental Table 1). 9 C57B1/6 mice were used for ALM recordings during photo-activation of the CN. 4 L7-cre (<a href="#_ENREF_3">Lewis et al., 2004</a>) crossed to Ai32 (Rosa26-LSL-ChR2-EYFP, JAX Stock#012569) (<a href="#_ENREF_5">Madisen et al., 2012</a>) mice were used for ALM recordings during CN photo-inhibition.</p> <p>10 C57B1/6 mice were used for CN recording experiments. 8 VGAT-ChR2-EYFP mice (Jackson laboratory, JAX Stock#014548) (<a href="#_ENREF_7">Zhao et al., 2011</a>) were used for CN recordings during ALM photo-inhibition.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Experimental methods</strong></p> <p>Detailed experimental methods are described in the manuscript (Gao et al 2018).</p> <p>&nbsp;</p> <p><strong><em>Behavior</em></strong></p> <p>Mice measured the location of an object using their whiskers during a sample epoch (1.3 s) (<a href="#_ENREF_6">O&#39;Connor et al., 2010</a>). After the sample epoch they must hold their decision about object location in memory for a delay period (1.3 s) (<a href="#_ENREF_2">Guo et al., 2014</a>).&nbsp; At the end of the delay period, an auditory cue (0.1) instructed the mice to report their decision with directional licking (&ldquo;lick left&rdquo;/&rdquo;lick right&rdquo;).&nbsp;</p> <p>&nbsp;</p> <p><strong><em>CN ChR2 photo-activation </em></strong></p> <p>For ChR2 photo-activation of the CN, wild-type mice injected with AAV2-hSyn1-(h134R)ChR2-EYFP virus were used. Light from a 473 nm laser (Laser Quantum, Part# Gem 473) was controlled by an acousto-optical modulator (AOM; Quanta Tech) and a shutter (Vincent Associates). To prevent the mice from distinguishing photostimulation trials from control trials using visual cues, a &lsquo;masking flash&rsquo; was delivered using 470 nm LEDs (Luxeon Star) near the eyes of the mice. The masking flash began as the pole started to move and continued through the end of the epoch in which photostimulation could occur. The photostimulus was pulses of light (5 ms pulse duration) delivered at 20 Hz and a range of peak powers (5, 10, 15mW). The power values reported in the paper indicate average powers (0.5, 1, 1.5 mW). The powers were measured at the fiber tip. The photostimulus started at the beginning of a task epoch and continued for 0.455 s (10 pulses).</p> <p>&nbsp;</p> <p><strong><em>CN photo-inhibition</em></strong></p> <p>In L7-cre &times; Ai32 mice, ChR2 was expressed in cerebellar Purkinje cells. We photostimulated Purkinje cells to inhibit neurons in the CN. The photostimulus was a 40&nbsp;Hz sinusoid (average power, 4.5&nbsp;mW) lasting for 1.3 sec, including a 100-200ms linear ramp during the laser offset to reduce rebound neuronal activity.</p> <p>&nbsp;</p> <p><strong><em>ALM photo-inhibition</em></strong></p> <p>ALM is centered on bregma anterior 2.5 mm, lateral 1.5 mm (<a href="#_ENREF_1">Chen et al., 2017</a>; <a href="#_ENREF_2">Guo et al., 2014</a>; <a href="#_ENREF_4">Li et al., 2016</a>). For photo-inhibition of ALM, we photostimulated cortical GABAergic neurons in VGAT-ChR2-EYFP mice (8 mice). Photostimulation was performed through the clear-skull cap implant by directing the blue laser over the skull (beam diameter: 400 &micro;m at 4&sigma;, bregma anterior 2.5 mm, lateral 1.5 mm). The light transmission through the intact skull was 50% (<a href="#_ENREF_2">Guo et al., 2014</a>). We photo-inhibited ALM for 1.3&nbsp;s at the beginning of the delay epoch, including a 100 ms linear ramp at the laser offset to minimize rebound excitation. This photostimulus was empirically determined to produce robust photo-inhibition in ALM (<a href="#_ENREF_2">Guo et al., 2014</a>; <a href="#_ENREF_4">Li et al., 2016</a>). The photo-inhibition silenced 90% of spikes in a cortical area of 1mm radius (at half-max) through all cortical layers. For unilateral ALM photo-inhibition, we used a 40 Hz sinusoidal photostimulus (1.5mW average power at the skull surface) at 2.5 mm anterior and 1.5 mm lateral from bregma. For bilateral ALM photo-inhibition, we used a constant photostimulus and a scanning galvo (GVSM002, Thorlabs), which stepped the laser beam sequentially through the photo-inhibition sites at the rate of 1 step per 5 ms (step time: 0.2 ms; dwell time: 4.8 ms; measured using a photodiode). 8 photo-inhibition sites were spaced in 1 mm at anterior 2-3 mm and lateral 1-2 mm from bregma, covering ALM. Peak power was adjusted based on the number of photo-inhibition sites to achieve 1.5&nbsp;mW average power per site.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong><em>Electrophysiology</em></strong></p> <p>Extracellular spikes were recorded using 32-channel NeuroNexus silicon probes (Part# A4x8-5mm-100-200-177) or 64-channel Cambridge NeuroTech silicon probes (H2 acute probe, 25 &micro;m spacing, 2 shanks). The 32-channel voltage signals were multiplexed, digitized by a PCI6133 board at 400 kHz (National Instruments) at 14 bit, demultiplexed (sampling at 25,000 Hz) and stored for offline analysis. The 64-channel voltage signals were amplified and digitized on an Intan RHD2164 64-Channel Amplifier Board (Intan Technology) at 16 bit, recorded on an Intan RHD2000-Series Amplifier Evaluation System (sampling at 20,000 Hz) using Open-Source RHD2000 Interface Software from Intan Technology (version 1.5.2), and stored for offline analysis.</p> <p>&nbsp;</p> <p>The extracellular recording traces were band-pass filtered (300-6 kHz).&nbsp; Events that exceeded an amplitude threshold (4 standard deviations of the background) were subjected to manual spike sorting to extract single-units (<a href="#_ENREF_2">Guo et al., 2014</a>).</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Data analysis</strong></p> <p>For ALM recordings, units are classified based on spike shape. Spike widths were computed as the trough-to-peak interval in the mean spike waveform. Units with spike width &lt;&nbsp;0.35&nbsp;ms were defined as fast-spiking neurons (82/1309) and units with spike widths &gt;&nbsp;0.45&nbsp;ms as putative pyramidal neurons (1194/1309). Units with intermediate values (0.35 - 0.45 ms, 33/1309) were excluded from analyses. This classification was previously verified by optogenetic tagging of GABAergic neurons (<a href="#_ENREF_2">Guo et al., 2014</a>).</p> <p>&nbsp;</p> <p>For CN recordings, units are classified based on recording location. We estimated unit locations based on recording track labeling, recording depth, and the lamination of activity patterns across the recording shanks. In <em>post-hoc</em> histology, CN boundaries were visible in DAPI staining.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>Chen, T.W., Li, N., Daie, K., and Svoboda, K. (2017). A Map of Anticipatory Activity in Mouse Motor Cortex. Neuron<em> 94</em>, 866-879 e864.</p> <p>Guo, Z.V., Li, N., Huber, D., Ophir, E., Gutnisky , D.A., Ting, J.T., Feng, G., and Svoboda, K. (2014). Flow of cortical activity underlying a tactile decision in mice. Neuron<em> 81</em>, 179-194.</p> <p>Lewis, P.M., Gritli-Linde, A., Smeyne, R., Kottmann, A., and McMahon, A.P. (2004). Sonic hedgehog signaling is required for expansion of granule neuron precursors and patterning of the mouse cerebellum. Dev Biol<em> 270</em>, 393-410.</p> <p>Li, N., Daie, K., Svoboda, K., and Druckmann, S. (2016). Robust neuronal dynamics in premotor cortex during motor planning. Nature.</p> <p>Madisen, L., Mao, T., Koch, H., Zhuo, J.M., Berenyi, A., Fujisawa, S., Hsu, Y.W., Garcia, A.J., 3rd, Gu, X., Zanella, S.<em>, et al.</em> (2012). A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nature neuroscience<em> 15</em>, 793-802.</p> <p>O&#39;Connor, D.H., Clack, N.G., Huber, D., Komiyama, T., Myers, E.W., and Svoboda, K. (2010). Vibrissa-based object localization in head-fixed mice. The Journal of neuroscience : the official journal of the Society for Neuroscience<em> 30</em>, 1947-1967.</p> <p>Zhao, S., Ting, J.T., Atallah, H.E., Qiu, L., Tan, J., Gloss, B., Augustine, G.J., Deisseroth, K., Luo, M., Graybiel, A.M.<em>, et al.</em> (2011). Cell type-specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function. Nature methods<em> 8</em>, 745-752.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Dataset (MATLAB format) from Gao et al (2018) A cortico-cerebellar loop for motor planning. Nature, Nov;563(7729):113-116.

<p><strong>Summary</strong></p> <p>These experiments measure neuronal responses from anterior lateral motor cortex (ALM) and deep cerebellar nucleus (CN) of adult mice performing pole location discrimination with a short-term memory. In some cases, we manipulate activity of one brain region while recording from the other region.</p> <p>&nbsp;</p> <p>Dataset:</p> <p><em>Li N (2018). Extracellular recordings from anterior lateral motor cortex (ALM) and cerebellar nucleus neurons of adult mice performing a tactile decision behavior. </em></p> <p>&nbsp;</p> <p>Data included in this release:</p> <p>34 sessions (9 mice), ALM recording during fastigial or dentate photoactivation</p> <p>20 sessions (4 mice), ALM recording during DCN photoinhibition</p> <p><em>(Data already available at: </em><a href="http://dx.doi.org/10.6080/K0NS0S26"><em>http://dx.doi.org/10.6080/K0NS0S26</em></a><em>)</em></p> <p>&nbsp;</p> <p>185 sessions (18 mice), CN recording. In some sessions, ALM photoinhibition was tested</p> <p><em>(Data included in this release. Data is in MATLAB format).</em></p> <p>&nbsp;</p> <p>Data from the follow publication:</p> <p><em>Gao Z, Davis C, Thomas AM, Economo MN, Abrego AM, Svoboda K, De Zeeuw CI, Li N (2018). A cortico-cerebellar loop for motor planning. Nature, Nov;563(7729):113-116. doi: 10.1038/s41586-018-0633-x. Epub 2018 Oct 17.</em></p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Animals</strong></p> <p>This dataset contains data from 31 mice (age &gt;&nbsp;P60, both male and female mice, Supplemental Table 1). 9 C57B1/6 mice were used for ALM recordings during photo-activation of the CN. 4 L7-cre (<a href="https://zenodo.org/record/6647629#_ENREF_3">Lewis et al., 2004</a>) crossed to Ai32 (Rosa26-LSL-ChR2-EYFP, JAX Stock#012569) (<a href="https://zenodo.org/record/6647629#_ENREF_5">Madisen et al., 2012</a>) mice were used for ALM recordings during CN photo-inhibition.</p> <p>10 C57B1/6 mice were used for CN recording experiments. 8 VGAT-ChR2-EYFP mice (Jackson laboratory, JAX Stock#014548) (<a href="https://zenodo.org/record/6647629#_ENREF_7">Zhao et al., 2011</a>) were used for CN recordings during ALM photo-inhibition.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Experimental methods</strong></p> <p>Detailed experimental methods are described in the manuscript (Gao et al 2018).</p> <p>&nbsp;</p> <p><strong><em>Behavior</em></strong></p> <p>Mice measured the location of an object using their whiskers during a sample epoch (1.3 s) (<a href="https://zenodo.org/record/6647629#_ENREF_6">O&#39;Connor et al., 2010</a>). After the sample epoch they must hold their decision about object location in memory for a delay period (1.3 s) (<a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>).&nbsp; At the end of the delay period, an auditory cue (0.1) instructed the mice to report their decision with directional licking (&ldquo;lick left&rdquo;/&rdquo;lick right&rdquo;).&nbsp;</p> <p>&nbsp;</p> <p><strong><em>CN ChR2 photo-activation </em></strong></p> <p>For ChR2 photo-activation of the CN, wild-type mice injected with AAV2-hSyn1-(h134R)ChR2-EYFP virus were used. Light from a 473 nm laser (Laser Quantum, Part# Gem 473) was controlled by an acousto-optical modulator (AOM; Quanta Tech) and a shutter (Vincent Associates). To prevent the mice from distinguishing photostimulation trials from control trials using visual cues, a &lsquo;masking flash&rsquo; was delivered using 470 nm LEDs (Luxeon Star) near the eyes of the mice. The masking flash began as the pole started to move and continued through the end of the epoch in which photostimulation could occur. The photostimulus was pulses of light (5 ms pulse duration) delivered at 20 Hz and a range of peak powers (5, 10, 15mW). The power values reported in the paper indicate average powers (0.5, 1, 1.5 mW). The powers were measured at the fiber tip. The photostimulus started at the beginning of a task epoch and continued for 0.455 s (10 pulses).</p> <p>&nbsp;</p> <p><strong><em>CN photo-inhibition</em></strong></p> <p>In L7-cre &times; Ai32 mice, ChR2 was expressed in cerebellar Purkinje cells. We photostimulated Purkinje cells to inhibit neurons in the CN. The photostimulus was a 40&nbsp;Hz sinusoid (average power, 4.5&nbsp;mW) lasting for 1.3 sec, including a 100-200ms linear ramp during the laser offset to reduce rebound neuronal activity.</p> <p>&nbsp;</p> <p><strong><em>ALM photo-inhibition</em></strong></p> <p>ALM is centered on bregma anterior 2.5 mm, lateral 1.5 mm (<a href="https://zenodo.org/record/6647629#_ENREF_1">Chen et al., 2017</a>; <a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>; <a href="https://zenodo.org/record/6647629#_ENREF_4">Li et al., 2016</a>). For photo-inhibition of ALM, we photostimulated cortical GABAergic neurons in VGAT-ChR2-EYFP mice (8 mice). Photostimulation was performed through the clear-skull cap implant by directing the blue laser over the skull (beam diameter: 400 &micro;m at 4&sigma;, bregma anterior 2.5 mm, lateral 1.5 mm). The light transmission through the intact skull was 50% (<a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>). We photo-inhibited ALM for 1.3&nbsp;s at the beginning of the delay epoch, including a 100 ms linear ramp at the laser offset to minimize rebound excitation. This photostimulus was empirically determined to produce robust photo-inhibition in ALM (<a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>; <a href="https://zenodo.org/record/6647629#_ENREF_4">Li et al., 2016</a>). The photo-inhibition silenced 90% of spikes in a cortical area of 1mm radius (at half-max) through all cortical layers. For unilateral ALM photo-inhibition, we used a 40 Hz sinusoidal photostimulus (1.5mW average power at the skull surface) at 2.5 mm anterior and 1.5 mm lateral from bregma. For bilateral ALM photo-inhibition, we used a constant photostimulus and a scanning galvo (GVSM002, Thorlabs), which stepped the laser beam sequentially through the photo-inhibition sites at the rate of 1 step per 5 ms (step time: 0.2 ms; dwell time: 4.8 ms; measured using a photodiode). 8 photo-inhibition sites were spaced in 1 mm at anterior 2-3 mm and lateral 1-2 mm from bregma, covering ALM. Peak power was adjusted based on the number of photo-inhibition sites to achieve 1.5&nbsp;mW average power per site.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong><em>Electrophysiology</em></strong></p> <p>Extracellular spikes were recorded using 32-channel NeuroNexus silicon probes (Part# A4x8-5mm-100-200-177) or 64-channel Cambridge NeuroTech silicon probes (H2 acute probe, 25 &micro;m spacing, 2 shanks). The 32-channel voltage signals were multiplexed, digitized by a PCI6133 board at 400 kHz (National Instruments) at 14 bit, demultiplexed (sampling at 25,000 Hz) and stored for offline analysis. The 64-channel voltage signals were amplified and digitized on an Intan RHD2164 64-Channel Amplifier Board (Intan Technology) at 16 bit, recorded on an Intan RHD2000-Series Amplifier Evaluation System (sampling at 20,000 Hz) using Open-Source RHD2000 Interface Software from Intan Technology (version 1.5.2), and stored for offline analysis.</p> <p>&nbsp;</p> <p>The extracellular recording traces were band-pass filtered (300-6 kHz).&nbsp; Events that exceeded an amplitude threshold (4 standard deviations of the background) were subjected to manual spike sorting to extract single-units (<a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>).</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Data analysis</strong></p> <p>For ALM recordings, units are classified based on spike shape. Spike widths were computed as the trough-to-peak interval in the mean spike waveform. Units with spike width &lt;&nbsp;0.35&nbsp;ms were defined as fast-spiking neurons (82/1309) and units with spike widths &gt;&nbsp;0.45&nbsp;ms as putative pyramidal neurons (1194/1309). Units with intermediate values (0.35 - 0.45 ms, 33/1309) were excluded from analyses. This classification was previously verified by optogenetic tagging of GABAergic neurons (<a href="https://zenodo.org/record/6647629#_ENREF_2">Guo et al., 2014</a>).</p> <p>&nbsp;</p> <p>For CN recordings, units are classified based on recording location. We estimated unit locations based on recording track labeling, recording depth, and the lamination of activity patterns across the recording shanks. In <em>post-hoc</em> histology, CN boundaries were visible in DAPI staining.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>Chen, T.W., Li, N., Daie, K., and Svoboda, K. (2017). A Map of Anticipatory Activity in Mouse Motor Cortex. Neuron<em> 94</em>, 866-879 e864.</p> <p>Guo, Z.V., Li, N., Huber, D., Ophir, E., Gutnisky , D.A., Ting, J.T., Feng, G., and Svoboda, K. (2014). Flow of cortical activity underlying a tactile decision in mice. Neuron<em> 81</em>, 179-194.</p> <p>Lewis, P.M., Gritli-Linde, A., Smeyne, R., Kottmann, A., and McMahon, A.P. (2004). Sonic hedgehog signaling is required for expansion of granule neuron precursors and patterning of the mouse cerebellum. Dev Biol<em> 270</em>, 393-410.</p> <p>Li, N., Daie, K., Svoboda, K., and Druckmann, S. (2016). Robust neuronal dynamics in premotor cortex during motor planning. Nature.</p> <p>Madisen, L., Mao, T., Koch, H., Zhuo, J.M., Berenyi, A., Fujisawa, S., Hsu, Y.W., Garcia, A.J., 3rd, Gu, X., Zanella, S.<em>, et al.</em> (2012). A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing. Nature neuroscience<em> 15</em>, 793-802.</p> <p>O&#39;Connor, D.H., Clack, N.G., Huber, D., Komiyama, T., Myers, E.W., and Svoboda, K. (2010). Vibrissa-based object localization in head-fixed mice. The Journal of neuroscience : the official journal of the Society for Neuroscience<em> 30</em>, 1947-1967.</p> <p>Zhao, S., Ting, J.T., Atallah, H.E., Qiu, L., Tan, J., Gloss, B., Augustine, G.J., Deisseroth, K., Luo, M., Graybiel, A.M.<em>, et al.</em> (2011). Cell type-specific channelrhodopsin-2 transgenic mice for optogenetic dissection of neural circuitry function. Nature methods<em> 8</em>, 745-752.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans

<p>As policies, good practices and funder mandates on research data management evolve, more emphasis has been put on the licencing of data. Licencing information allow potential re-users to quickly identify what they can do with the data in question and is therefore an important component to ensure the reusability of research.</p> <p>In my research I analyse a pre-existing collection of 840 Horizon 2020 public data management plans (DMPs) available on the repository of the University of Vienna, Phaidra,, to determine which ones mention creative commons licences and among those who do, what licences are being used.</p> <p>This excel file contains the data underlying the publication &quot;Uncommon Commons? Creative Commons licencing in Horizon 2020 Data Management Plans &quot;.</p> <p>Sheet 1 contains the data collected in the previous &quot;Data Re-Use&quot; project: 840 DMPs downloaded from CORDIS and vetted to ensure they are public documents and not copyrighted</p> <p>Sheet 2 contains the same data as sheet 1, with columns D to Q not visible (for better reading) but an added column R which now contains the CC licening information (where available)</p> <p>Sheet 3 is filtered so that only the projects containing CC BY relevant licencing are shown</p> <p>Sheet 4 is filtered so that only the projects containing CC-BY-SA relevant licencing are shown</p> <p>Sheet 5 is filtered so that only the projects containing CC-BY-NC relevant licencing are shown</p> <p>Sheet 6 is filtered so that only the projects containing CC-BY-ND relevant licencing are shown</p> <p>Sheet 7 is filtered so that only the projects containing Cc-BY-NC-ND relevant licencing are shown</p> <p>Sheet 8 is filtered so that only the projects containing CC-BY-NC-SA relevant licencing are shown</p> <p>Sheet 9 is filtered so that only the projects containing CC0 relevant information are shown</p> <p>Sheet 10 provides an overview table of the relevant licences (manual entry)</p> <p>Sheet 11 and 12 contain graphic visulations of the data as used in the article</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

STRIDE Project D5: Overcoming Barriers to Freight and Logistics Firm Collaboration with Urban Planning

<p>This dataset contains a list of Reddit posts and the corresponding threads for those posts resulting from targeted searches of four delivery-related subreddits conducted in Fall 2021. We used this dataset to understand driver practices in and views on delivering in urban areas and the challenges they face.</p> <p>It was downloaded using Reddit&#39;s API through the RedditExtractoR package for the R programming language. Re-use of this data is subject to Reddit API terms.</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Data Management Plan: FNS Project "Le scénario chez Alain Tanner : discours et pratiques. Une approche génétique du récit filmique et des représentations de genre"

<p>Le pr&eacute;sent projet entend investiguer, sur la base principalement des archives personnelles d&rsquo;Alain Tanner d&eacute;pos&eacute;es &agrave; la Cin&eacute;math&egrave;que suisse (CS), la gen&egrave;se des dix-neuf longs m&eacute;trages de fiction r&eacute;alis&eacute;s par le cin&eacute;aste suisse romand entre 1969 (<em>Charles mort ou vif</em>) et 2004 (<em>Paul s&rsquo;en va</em>) en optant pour une m&eacute;thodologie relevant de l&rsquo;&eacute;tude g&eacute;n&eacute;tique des textes sc&eacute;naristiques.&nbsp;</p> <p>Parall&egrave;lement &agrave; l&rsquo;&eacute;tude des archives de production qui nous renseignent sur les pratiques d&rsquo;&eacute;criture, nous envisageons le discours tenu &agrave; propos du sc&eacute;nario par Tanner, l&rsquo;un des cin&eacute;astes suisses &agrave; avoir b&eacute;n&eacute;fici&eacute; d&rsquo;une importante reconnaissance internationale et exerc&eacute; un impact consid&eacute;rable sur la mani&egrave;re dont le cin&eacute;ma a &eacute;t&eacute; con&ccedil;u dans son pays. Nous postulons que le &laquo;&nbsp;sc&eacute;nario&nbsp;&raquo; se situe au c&oelig;ur de l&rsquo;&oelig;uvre du cin&eacute;aste dans la mesure o&ugrave; ce dernier a constamment entretenu un rapport ambivalent &agrave; ce stade de la fabrication de ses films&nbsp;: alors qu&rsquo;il n&rsquo;a eu de cesse de relativiser le r&ocirc;le de l&rsquo;&eacute;criture au profit de la mise en sc&egrave;ne, il a par ailleurs constamment probl&eacute;matis&eacute;, dans ses prises de position publiques et ses nombreux textes de r&eacute;flexion sur sa pratique, la question de l&rsquo;&eacute;criture. La constitution d&rsquo;un historique de production de l&rsquo;ensemble des longs m&eacute;trages que Tanner a r&eacute;alis&eacute;s, (co)produits et (co)&eacute;crits, ainsi qu&rsquo;une &eacute;tude comparative des &eacute;tats et variantes de sc&eacute;nario entre eux et avec les diff&eacute;rents films tels qu&rsquo;ils ont &eacute;t&eacute; exploit&eacute;s sont ainsi corr&eacute;l&eacute;s &agrave; l&rsquo;ensemble des discours sur le cin&eacute;ma qui ont &eacute;t&eacute; &eacute;mis par Tanner &agrave; travers divers canaux m&eacute;diatiques, ainsi qu&rsquo;avec la r&eacute;ception critique de ses films qui s&rsquo;est fait l&rsquo;&eacute;cho de son discours et a comment&eacute; son travail. L&rsquo;engagement institutionnel de Tanner dans les ann&eacute;es 1960 ainsi que sa visibilit&eacute; m&eacute;diatique tout au long de sa carri&egrave;re permettront d&rsquo;offrir un &eacute;clairage plus large sur l&rsquo;histoire du cin&eacute;ma suisse de fiction.&nbsp;</p> <p>La gen&egrave;se des sc&eacute;narios de Tanner sera en particulier envisag&eacute;e dans ce que leur &eacute;tude apporte sur un plan m&eacute;thodologique &agrave; la g&eacute;n&eacute;tique des textes, et dans la mani&egrave;re dont ceux-ci s&rsquo;appuient sur du mat&eacute;riel ant&eacute;rieur (romans pour ses deux adaptations, journaux intimes, faits divers, photographies, cartes g&eacute;ographiques, etc.), programment diff&eacute;rents aspects du film &agrave; venir (dialogues, mouvement d&rsquo;appareil, montage, jeu d&rsquo;acteur, bande-sons, etc.) et r&eacute;sultent d&rsquo;une &eacute;criture collaborative. A ce titre, trois personnalit&eacute;s ayant travaill&eacute; successivement comme cosc&eacute;nariste sur des films de Tanner et stimul&eacute; sa r&eacute;flexion sur le cin&eacute;ma font l&rsquo;objet d&rsquo;une &eacute;tude&nbsp;: le critique d&rsquo;art John Berger, l&rsquo;actrice et chanteuse Myriam M&eacute;zi&egrave;res et enfin le romancier et figure du monde des lettres et des m&eacute;dias Bernard Comment. Les modalit&eacute;s de la cr&eacute;ation &agrave; quatre mains sont discut&eacute;es dans une perspective double&nbsp;: (1) une &eacute;tude narratologique (la construction du r&eacute;cit et des personnages, le processus de l&rsquo;adaptation, etc.)&nbsp;; (2) une &eacute;tude des repr&eacute;sentations genr&eacute;es. Sur ces deux plans, nous avons l&rsquo;ambition de montrer, en d&eacute;pit d&rsquo;ambivalences diverses, combien le cin&eacute;ma de Tanner se distingue de la production dominante et m&ecirc;me du cin&eacute;ma d&rsquo;auteur francophone post-Nouvelle Vague par une originalit&eacute; certaine qui demeure &agrave; ce jour trop peu discut&eacute;e dans l&rsquo;histoire du cin&eacute;ma (suisse).&nbsp;L&rsquo;&eacute;tude de ce corpus se pr&ecirc;te &agrave; affiner l&rsquo;approche g&eacute;n&eacute;tique en l&rsquo;adaptant &agrave; l&rsquo;h&eacute;t&eacute;rog&eacute;n&eacute;it&eacute; et au non-conformisme des pratiques de Tanner.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

Supplemental material for the paper entitled "Estimating and planning hospital costs of public hospitals in Brazil"

<p>[xlsx] Stepdown cost accounting (SDCA) for estimating cost on hospitals network;</p> <p>[xlsx] Factor analysis for estimating hospital costs based on few operations variables.</p> <p>[xlsx] Cost Components and Care Modules approaches - results for each hospital of the network.</p> <p>[zip] Simulation-optimisation algorithm and models.</p> <p>[zip] Results from simulation-optimisation model.</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

REMODEL. WP5. Cable Manipulation Planning, Execution and Interactive Perception. T5-3. Bimanual wire and cable manipulation. Data related to a paper for the conference SysInt 2022

<p>The datasets contain data recorded during the experiment reported in the paper:</p> <p>G. Laudante, and S. Pirozzi, &ldquo;An Intelligent System for Human Intent and Environment Detection Through Tactile Data,&rdquo; 6th International Conference on System-Integrated Intelligence (SysInt 2022), Genova, Italy. (DOI: 10.1007/978-3-031-16281-7_47)</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

English Electric Co. of Australia, Plan No. 2

This is one of three suspension bridge designs proposed by the English Electric Company of Australia for a Sydney Harbour Bridge. Read the Sydney Harbour Bridge story [here](https://thebridge.sl.nsw.gov.au/). *The English Electric Co. of Australia Ltd, Plan No. 2, Sydney Harbour Bridge: Report on Tenders, 1924, TQ028863* [View in the State Library of New South Wales catalogue](http://digital.sl.nsw.gov.au/delivery/DeliveryManagerServlet?dps_pid=FL6619380&amp;embedded=true&amp;toolbar=false) Source: Objaverse 1.0 / Sketchfab

opencc-bySep 2018View details →
zenodo36/100

Haunted House plan section

produced by internal and external photogrammetry. 1-1 scale model. Source: Objaverse 1.0 / Sketchfab

opencc-byNov 2021View details →
zenodo36/100

"Maid of Ashton" Sheer Plan

MV Maid of Ashton was a passenger ferry launched in 1953 and built by Yarrow and Co. Ltd. of Scoutstoun, Glasgow, for the Caledonian Steam Packet Company. Founded in 1889, The Caledonian Steam Packet Company would later merge with David MacBraye's in 1973 to become the company CalMac, still in operation today. Originally serving the Holy Loch, the vessel was eventually sold and operated on the Thames in London as a floating restaurant. This document is a Sheer Plan – drawn by hand using ink on starched linen, a sheer plan is a drawing showing some of the most important lines on a ship. This plan was drawn up as part of the process of designing and constructing a vessel. You can still see the Yarrow and Co. stamp signed by the draughtsman in the bottom right corner. Source: Objaverse 1.0 / Sketchfab

opencc-zeroMay 2019View 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.