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431
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Dataset results
431 results for “EVs”
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV Data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds.</p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds.</p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds.</p>
First Results from ABRACADABRA-10 cm: A Search for Sub-$\mu$eV Axion Dark Matter — 2018 Data
<p>Extracted limits from the Axion Dark Matter search associated with the article: <em>First Results from ABRACADABRA-10 cm: A Search for Sub-μeV Axion Dark Matter </em>(To be published in Phys. Rev. Lett. 2019)</p>
Unveiling the role of miRNAs from MSC-EVs in neuroinflammation and behavioral impairments induced by chronic alcohol consumption
<p><strong>Part of the project: "Unveiling the role of miRNAs from MSC-EVs in neuroinflammation and behavioral impairments induced by chronic alcohol consumption."</strong></p> <p>This dataset contains small RNA sequencing data derived from extracellular vesicles (EVs) isolated from human adipose tissue-derived mesenchymal stem cells (MSC-EVs). The data was generated to study the potential therapeutic effects of repeated intravenous administration of MSC-EVs on neuroinflammation, cognitive dysfunction, and addictive-like behaviors induced by chronic alcohol consumption.</p> <p>Total RNA from MSC-EVs was extracted using the Total Exosome RNA Isolation Kit (Invitrogen). Small RNA libraries were constructed with the Small RNA-Seq Library Prep Kit (Lexogen) and sequenced on the Illumina NextSeq 550 platform with a 1 x 150 bp read length. The raw sequencing data are provided in fastq format.</p> <p> </p> <div> </div>
EV based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance
<p>This dataset serves as a supplementary material for the research article <em>EV-based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance</em> by Tynjälä <em>et al</em>. For further details, please refer to our publication for a detailed description of the methods used to generate this dataset.</p> <p>In summary, we isolated and sequenced miRNAs from extracellular vesicles (EVs) isolated from irradiated and non-irradiated MCF7 cells. Sequencing libraries were prepared with QIAseq miRNA Library Kit (Qiagen, Germany) and sequenced with Illumina NextSeq 500 platform (Illumina). In-house bioinformatics workflow was used to process the sequencing data. Unique molecular identifier (UMI) sequences were first extracted and added to FASTQ header with UMI-tools while discarding the 3’ adapter and primer sequences. Reads shorter than 16 bp were discarded with cutadapt. Provided sequencing data is in FASTQ format and trimmed from adapter and UMI sequences. We have also provided miRNA counts and results of following differential gene expression analysis in tab-delimited format.</p> <p> </p> <p> </p>
EV data monitoring
<p>Electric Vehicle (EV) data collected by Emotion, expert Italian company specialized in the sector of electric mobility, partner of SOFIE project.</p> <p>These data were collected using a particular OBD device connected on each EV. OBD communicates using a TCP/IP system.</p> <p>Data shown in this dataset were updated every 10 seconds. </p>
Starspot mapping with adaptive parallel tempering. II. Application to TESS data for M-dwarf flare stars, AU Microscopii, YZ Canis Minoris, and EV Lacertae (Flare Tables)
<p>For TESS PDC-SAP data of AU Mic (Sector 1 and 27), YZ CMi (Sector 7 and 34), and EV Lac (Sector 16), detected flare properties are listed: the peak time (BJD-2745000), amplitude, equivalent duration (sec), and e-folding time (day).</p>
Optical data for Cu2O, CuO and Cu in the 1 eV to ~ 100 eV energy range.
<p>Our optical data in (J. Phys.: Condensed Matter.24 (2012) 175002; DOI10.1088/0953-8984/24/17/175002) for Cu<sub>2</sub>O, CuO, and Cu in the 1 eV to ~ 100 eV energy range has received a strong and continued interest and we have had requests to share the data in digital form.</p> <p>Here we therefore make the data available for n and k in Fig. 8 of the paper in two Excel files.</p>
EV Fire paper search string results
<p>EV Fire paper search string results</p>
Technical Solutions for Increasing DER and EV Hosting Capacity in Distribution Grids in the Czech Republic in Terms of European Project Interflex
<p>dataset for scientific paper</p>
Supplementary materials for "Testing the goodness of the EVS gender role attitudes scale"
<p>The files include supplementary results for background analyses performed for the manuscript "Testing the goodness of the EVS gender role attitudes scale" submitted to the journal <em>Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique</em>. One file reports the result from exploratory factor analyses run on the EVS 2008 scale with 7 and 8 items; the other one shows intermediate results from the stepwise regression models performed on the same scale from EVS 2008 and EVS 1999.</p> <p>Lomazzi, V. (2017). Testing the Goodness of the EVS Gender Role Attitudes Scale. <em>Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique</em>, <em>Forthcoming</em>. https://doi.org/10.1177/0759106317710859</p>
A Dataset for EV movement and charging based on metropolitan Melbourne
<p> This document presents a dataset based on which electric vehicle (EV) movement and charging may be simulated. Data is collected from various sources describing the metropolitan Melbourne area and comprises: A list of EVs, suburb locations and dwelling statistics, residential consumption patterns considering deviations based on suburb and household size, statistics regarding work behaviour including commute patterns, pricing for various electricity products as well as statistical data to derive rooftop photo voltaic (PV) generation. Furthermore, methodologies are provided to create rudimentary probability distributions describing forecasts for residential electricity consumption and rooftop PV generation based on historic data. Lastly, a methodology for basic shift scheduling is presented, allowing to create basic travel patterns for EVs commuting between their residences and places of employment.</p>
FLAMINGo, an EnLight EVs Cluster member
<p>FLAMINGo together with LEVIS, REVOLUTION, Fatigue4light and ALMA projects created a collaborative cluster team namely "EnLight EVs" <br><br>*This Video was developed with the support of the Horizon results booster Portfolio Dissemination Strategy*</p>
Tissue factor content measured by ELISA in different size fractions of EVs.
<p>Figure 1. Tissue factor (TF) content measured by ELISA in different size fractions of EVs.</p> <p>Data expressed as pg of TF in 1 x 10<sup>6</sup> EV ± SD from eight independent experiments. Data analyzed by one-way ANOVA, * symbolizes statistical significance p<0.05. <1000nm, <450nm, <200nm indicate samples filtered using syringe-top filters and their respective pore sizes.</p>
FLAMINGo video: Assembly and integration of steering knuckle onto EV by ALKE
<p>Check out the video developed by ALKE Electric Vehicles! ALKE is one of the FLAMINGo project partners which serves as the end user validating the developed lightweight parts. The video is divided into two sections: 1. the first section showcases the assembly of the steering knuckle on the bench, while 2. the second one depicts its integration onto the vehicle along with related functional tests. We are therefore pleased to confirm the successful completion of the task!</p>
Raw datasets and media accompanying the manuscript: Extracellular Vesicles (EVs) Are Copurified with Feline Calicivirus, yet EV-Enriched Fractions Remain Infectious
<p>Raw datasets and media accompanying the manuscript: <strong>Extracellular Vesicles (EVs) Are Copurified with Feline Calicivirus, yet EV-Enriched Fractions Remain Infectious</strong></p>
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.