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Dataset results
74 results for “single unit”
Single-unit and multi-unit peer-to-peer transactions in a microgrid (uGIM dataset)
<p>uGIM is a microgrid intelligent management platform that can represent individual end-users using a multi-agent approach. This dataset has data regarding two weeks (May 13<sup>th</sup> to May 18<sup>th</sup>, 2019, and September 30<sup>th</sup> to October 6<sup>th</sup>, 2019) where auction-based peer-to-peer transactions were performed in a real microgrid.</p> <p>The data was collected by uGIM agents and auctions were executed every hour. The hour-ahead auctions are performed by the sellers in a fully distributed approach. To create this dataset two NanoPi M1 Plus (with 1.2 GHz quad-core CPUs and 1 GB of RAM running the Ubuntu 16.04.6 LTS operating system), and three Raspberry Pi Model B+ (with 1.4 GHz 64-bit quad-core CPUs and GB of RAM running the Raspberry Pi OS operating system) were used.</p> <p>uGIM related publications:<br> - Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. <a href="http://doi.org/10.1016/j.measurement.2019.107427">https://doi.org/10.1016/j.measurement.2019.107427</a><br> - Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. <a href="http://doi.org/10.1109/ACCESS.2020.2985254">https://doi.org/10.1109/ACCESS.2020.2985254</a><br> - Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. <a href="http://doi.org/10.14201/gredos.144238">https://doi.org/10.14201/gredos.144238</a><br> - Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. <a href="http://doi.org/10.1016/j.jclepro.2019.118154">https://doi.org/10.1016/j.jclepro.2019.118154</a></p> <p> </p> <p><em>(if you used this dataset in your publications, please send us your information so we can add your publication to the list above)</em></p> <p><br>We would be grateful if you could acknowledge the use of this dataset in your publications. Please use the Zenodo publication to cite this work.</p>
Porous single crystal unit-cell simulation database for ductile fracture by void growth and coalescence
<p>Ductile fracture through void growth to coalescence occurs at the grain scale in numerous metallic alloys encountered in engineering applications. In order to perform mechanical homogenization of porous single crystals, a database of porous single crystal unit-cell simulation results has been gathered through Finite Element Modeling and Fast-Fourrier Transform simulations, respectively performed on Z-set and Amitex_FFTP. In these simulations, a cubic unit-cell with a unique central spherical void undergo axisymmetric mechanical loading. Mechanical simulations are performed within finite strain theory. Input parameters of interest are stress triaxiality, crystallographic orientation, initial porosity and strain hardening law type; results include macroscopic stress, macroscopic deformation gradient, porosity, void aspect ratio, ligament size and cell aspect ratio.</p>
Single-unit auditory nerve fibre responses of young-adult and aging gerbils
Open the record for dataset details and reuse information.
A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts
<p>The purpose of this study was t<span>o compare Global Warming Potential (GWP) of hospitals converting from single-use to reusable sharps containers (SSC, RSC). Does conversion to RSC result in GWP reduction? </span><span>Using BS PAS 2050:2011 principles, a retrospective, before/after intervention quantitative model together with a purpose-designed, attributional "cradle-to-grave" life cycle tool, were used to determine the annual GHG emissions of the two sharps containment systems. Functional unit was total fill-line litres (FLL) of sharps containers needed to dispose of sharps for one-year period in 40 trusts. Scope 1, 2 and 3 emissions were included. Results were workload-normalised using NHS national hospital patient-workload indicators. A sensitivity analysis examined areas of data variability.</span></p> <p><span><b>Setting</b>. Acute-care hospital trusts in United Kingdom.</span></p> <p><span><b>Participants</b>. 40 NHS hospital Trusts using RSC.</span></p> <p><span><b>Intervention</b>. <span>Conversion from SSC to RSC. SSC and RSC usage details in </span><span>17 base-line trusts immediately prior to 2018 were applied to the RSC usage details of the 40 trusts using RSC in 2019</span><span>.</span></span></p> <p><span><span>The comparison of GWP </span>calculated in carbon dioxide equivalents (CO<sub>2</sub>e)<span> generated in the manufacture, transport, service and disposal of</span> 12 months, hospital-wide usage of both containment systems in the 40 trusts. </span><span>The 40 trusts converting to RSC reduced their combined annual GWP by 3267.4 tonnes CO<sub>2</sub>e (-83.9%); eliminated incineration of 900.8 tonnes of plastic; eliminated disposal/recycling of 132.5 tonnes of cardboard; and reduced container exchanges by 61.1%. GHG as kg CO<sub>2</sub>e/1000 FLL were 313.0 and 50.7 for SSC and RSC systems respectively. A sensitivity analysis showed substantial GHG reductions within unit processes could be achieved, however their impact on relevant final GWP comparison varied <5% from base comparison.</span> Adopting RSC is an example of a sustainable purchasing decision that can assist trusts meet NHS GHG reduction targets and can reduce GWP permanently with minimal staff behaviour-change.</p>
Neural processing and perception of Schroeder‐phase harmonic tone complexes in the gerbil: Relating single‐unit neurophysiology to behavior
<p><span>Schroeder-phase harmonic tone complexes have been used in physiological and psychophysical studies in several species to gain insight into cochlear function. Each pitch period of the Schroeder stimulus contains a linear frequency sweep; the duty cycle, sweep velocity, and direction are controlled by parameters of the phase spectrum. Here, responses to a range of Schroeder-phase harmonic tone complexes were studied both behaviorally and in neural recordings from the auditory nerve and inferior colliculus of Mongolian gerbils. Gerbils were able to discriminate Schroeder-phase harmonic tone complexes based on sweep direction, duty cycle, and/or velocity for fundamental frequencies up to 200 Hz. Temporal representation in neural responses based on the van Rossum spike-distance metric, with time constants of either 1 ms or related to the stimulus' period, was compared to average discharge rates. Neural responses and behavioral performance were both expressed in terms of sensitivity, d', to allow direct comparisons. Our results suggest that in the auditory nerve, stimulus fine structure is represented by spike timing while envelope is represented by rate. In the inferior colliculus, both temporal fine structure and envelope appear to be represented best by rate. However, correlations between neural d' values and behavioral sensitivity for sweep direction were strongest for both temporal metrics, for both auditory nerve and inferior colliculus. Furthermore, the high sensitivity observed in the inferior colliculus neural rate-based discrimination suggests that these neurons integrate across multiple inputs arising from the auditory periphery.</span></p>
Simultaneous single-unit recording from the basal amygdala and dorsal hippocampus
<p>Animals seeking survival needs must be able to assess different locations of threats in their habitat. However, the neural integration of spatial and risk information essential for guiding goal-directed behavior remains poorly understood. Thus, we investigated simultaneous activities of fear-responsive basal amygdala (BA) and place-responsive dorsal hippocampus (dHPC) neurons as rats left the safe nest to search for food in an exposed space and encountered a simulated 'predator.' In this realistic situation, BA cells increased their firing rates and dHPC place cells decreased their spatial stability near the threat. Importantly, only those dHPC cells synchronized with the predator-responsive BA cells remapped significantly as a function of escalating risk location. Moreover, optogenetic stimulation of BA neurons was sufficient to cause spatial avoidance behavior and disrupt place fields. These results suggest a dynamic interaction of BA's fear signaling cells and dHPC's spatial coding cells as animals traverse safe-danger areas of their environment.</p>
LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794
<p><strong>OVERVIEW</strong></p> <p>All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd</p> <p>For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around)</p> <p>Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015</p> <p>Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena</p> <p>All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files</p> <p><br> <strong>RAT SPECIFIC NOTES</strong></p> <p>R2142</p> <p>>>2014-08-06</p> <p>Screening, Track1 and SleepPost present</p> <p> </p> <p>R2192</p> <p>>>2104-09-17</p> <p>Track1 and SleepPost sessions present</p> <p>>>2014-10-01</p> <p>Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost)</p> <p> </p> <p>R2217</p> <p>>>2014-12-13</p> <p>Screening, Track1 and SleepPost present</p> <p>>>2014-12-18</p> <p>Screening, Track1 and SleepPost present</p> <p><br> R2335</p> <p>>>2015-10-26</p> <p>Screening, Track1 and SleepPost present<br> </p> <p>R2336</p> <p>>>2015-11-01</p> <p>Track1 and SleepPost present</p> <p>>>2015-11-04</p> <p>Track1 and SleepPost present</p> <p> </p> <p>R2337</p> <p>>>2015-11-27</p> <p>Track1 and SleepPost present</p> <p>>>2015-12-01</p> <p>Track1 and SleepPost present</p>
Single unit electrophysiology of optogenetically identified dopamine neurons in classical conditioning with probabilistic outcome of reward and punishment
<p>We collected single-unit data (.mat file) from optogenetically identified dopamine neurons in the lateral VTA in mice. These dopamine neurons were recorded while animals performed 4 different variation of classical conditioning tasks with different ratio of probabilistic outcomes of water reward and aversive air puff. In one task, one cue was associated with both water and puff in a probabilistic manner.</p>
SMaRT Blood: Single-unit Versus Multiple-unit Packed Red Blood Cell Transfusion in Non-acute Postpartum Anemia
ClinicalTrials.gov study NCT03419780. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Haploidentical CD34+ Selected Cells Combined With Single Unit Umbilical Cord Blood Transplant for Treatment of High-risk Hematologic Disorders
ClinicalTrials.gov study NCT03093844. IPD Sharing: NO. Countries: 1. Publications: 4.
A Single Centre, Prospective, Observational Study to Assess the Use of the Rehabilitation Tool, GripAble, in Patients With Upper Limb Spasticity Receiving Botulinum Toxin-A (BoNT-A) in the United King
ClinicalTrials.gov study NCT05169775. IPD Sharing: YES. Countries: 1. Publications: 0.
Neural processing and perception of Schroeder‐phase harmonic tone complexes in the gerbil: Relating single‐unit neurophysiology to behavior
Open the record for dataset details and reuse information.
Simultaneous single-unit recording from the basal amygdala and dorsal hippocampus
Open the record for dataset details and reuse information.
Single unit electrophysiology of optogenetically identified dopamine neurons in classical conditioning with probabilistic outcome of reward and punishment
Open the record for dataset details and reuse information.
Data from: Dynamics of mesoscale brain network during decision-making learning revealed by chronic, large-scale single-unit recording
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A before/after intervention study to determine impact on life cycle carbon footprint of converting from single-use to reusable sharps containers in 40 United Kingdom NHS Trusts
Open the record for dataset details and reuse information.
High-density single-unit human cortical recordings using the Neuropixels probe
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Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of plant diversity in units of ShannonWeaverHprime on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains plant diversity measurements in ShannonWeaverHprime units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Acer rubrum (red maple) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Acer rubrum (red maple) measurements in percent units and were aggregated to a yearly timescale.
Fernow Experimental Forest site, station Compartment 8, subcompartment C, single tree selection harvest in mixed hardwood forest, study of relative frequency of Acer saccharum (sugar maple) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Fernow Experimental Forest (FER) contains relative frequency of Acer saccharum (sugar maple) measurements in percent units and were aggregated to a yearly timescale.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.