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13
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ShareScore release 0.7.1
Dataset results
13 results for “CERN”
Data for the extraction of the critical temperature of niobium films deposited on copper produced at CERN for SRF applications
<p>Each data set contains the voltage signal amplitude induced in a pickup coil by an alternating magnetic field, crossing the niobium-film-on-copper sample during its state transition from normal conducting to superconducting, the corresponding sample temperature and the estimated errors for the two measured quantities. File columns: #1 sample temperature in Kelvin, #2 estimated temperature error, #3 voltage amplitude in pickup coil in Volt, #4 estimated amplitude error.</p> <p>One data set corresponds to one sample. The critical temperature can be extracted as fit parameter by fitting the amplitude versus temperature data with a logistic function, where it corresponds to the half height of the state transition curve.</p>
New Particle Search at CERN open classification data
<p>This is a reduced, anonymised dataset containing the classifications made in the New Particle Search at CERN demonstrator project available on Zooniverse during the implementation period - from the 19th of October, 2021, to the 23rd of October, 2023 - as part of the REINFORCE project.</p>
CERN Analysis Preservation User Stories
<p>This comic-like drawing is a graphical representation of the User Stories identified for CERN Analysis Preservation.</p>
CERN Open Hardware Survey 2017
<p>Data + notebook for the "CERN Open Hardware Survey" of 2017.</p>
Overview of IoT devices and vulnerable classification at CERN
<p>The figure shows the overview of IoT devices connected to the CERN's GPN and vulnerable classification done after the manual vulnerability assessment carried on by us. </p>
Global atmospheric particle formation from CERN CLOUD measurements: nucleation rate dataset
<p>Data S1 for paper "Dunne et al, (the CLOUD collaboration), Global atmospheric particle formation from CERN CLOUD measurements, Science 354 6316 (2016). Data contains nucleation rates and chamber conditions (including precursor gas concentrations) for inorganic binary and ternary (H2SO4-H2O) and (H2SO4-NH3-H2O) neutral and ion-induced nucleation measurements presented in the paper. These data were originally attached as supplemental to the paper, but are not currently available on the Science website (as of October 2024). </p> <p>Relative humidity units are percent. Care is needed to interpret all the data, for example not all ammonia values quoted were measured directly, some are inferred. See the supplementary materials of the paper for more discussion, and users of data at relative humidity other than (38+/-5)% are advised to discuss with the contact author Hamish Gordon. Ion production rate and nucleation rate units are per cm3 per second. The sulfuric acid units can be interpreted by noting that the value of 632 in the first data entry is 6.32x10^8 cm-3. </p> <p>Please cite the original Science article if you use these data: https://www.science.org/doi/10.1126/science.aaf2649</p>
Dataset for "VHEE beam dosimetry at CERN Linear Electron Accelerator for Research under ultra-high dose rate conditions"
<p>Dataset for "VHEE beam dosimetry at CERN Linear Electron Accelerator for Research under ultra-high dose rate conditions"</p> <p>Daniela Poppinga <em>et al</em> 2021 <em>Biomed. Phys. Eng. Express</em> 7 015012</p> <p>https://doi.org/10.1088/2057-1976/abcae5</p> <p> </p>
CERN PS Radial and Phase Loop Gain Analysis
<p>Dataset containing measurements and simulations of the PS radial and phase loop. These were used to determine the proportional gains, determining the conversion from measured radial or phase offset to frequency steering, of both loops.</p> <p>Contents:</p> <p><code>Kick_Data:</code> Measurements of the phase and radial loops. </p> <ul> <li><code>20degkick_staticphaseloop_C948_05(-2/-3).npz</code>: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 20 degrees without adjusting the target phase of the phase loop.</li> <li><code>40degkick_followingPL_C948_05(1-/-2/-3/-4).npz</code>: Measurements of the phase loop acting on a single bunch (normally sent to the East Area) around 948 ms cycle time. In these datasets, the RF phase is offset by 40 degrees while adjusting the target phase of the phase loop accordingly by 40 degrees.</li> <li><code>radial_loop_response_C910(-2/-3).npz</code>: Measurements of the radial loop acting on a single bunch (normally sent to the East Area) around 910 ms cycle time. In these datasets, the target radial offset is set from 13.6 mm to 0 at 910 ms cycle time</li> </ul> <p><code>Kick_Simulations:</code> Simulations reproducing the measurements for different values of the loop gains.</p> <ul> <li><code>2023_11_17.2-LoopsKick_finePL</code>: Simulations to reproduce the measurements in <code>20degkick_staticphaseloop_C948_05(-2/-3).npz</code> with different phase loop gains. (See arguments.txt, line 36 of each subfolder for the gain in each simulation)</li> <li><code>2023_11_17.2-LoopsKick_RL</code>: Simulations to reproduce the measurements in <code>radial_loop_response_C910(-2/-3).npz</code> with different radial loop gains. (See arguments.txt, line 36 of each subfolder for the gain used in each simulation.</li> </ul> <p><code>Plots:</code> Figures produced in the course of the analysis</p> <p><code>PSLoop_Technical_Info:</code> Documentation of the phase and radial loops and their developed models.</p> <p><code>PSLoop_GainDetermination.ipynb:</code> Python Notebook where the analysis is performed.</p>
CERN Dataset
<p>CERN, the European Organization for Nuclear Research, is one of the world's largest and most respected centres for scientific research.</p> <p><a href="https://zenodo-rdm.web.cern.ch/records/vqm8g-0ay54">_</a><a href="https://zenodo-rdm.web.cern.ch/records/d0edh-8x319">_</a><a href="https://zenodo-rdm.web.cern.ch/records/d0edh-8x319">_</a><a href="https://zenodo-rdm.web.cern.ch/records/th6wb-atb03">_</a><a href="https://zenodo-rdm.web.cern.ch/records/s2a3k-g3r66">_</a><a href="https://zenodo-rdm.web.cern.ch/records/a2gmt-vgn53">_</a><a href="https://zenodo-rdm.web.cern.ch/records/5mv8q-wvx88">_</a><a href="https://zenodo-rdm.web.cern.ch/records/wya8a-fh072">_</a><a href="https://zenodo-rdm.web.cern.ch/records/vyfgb-1m698">_</a><a href="https://zenodo-rdm.web.cern.ch/records/pp1xy-9sz67">_</a><a href="https://zenodo-rdm.web.cern.ch/records/wpmsv-w6971">_</a><a href="https://zenodo-rdm.web.cern.ch/records/9x0n0-v6m90">_</a><a href="https://zenodo-rdm.web.cern.ch/records/sx0bv-vmc63">_</a><a href="https://zenodo-rdm.web.cern.ch/records/eb36r-gs438">_</a><a href="https://zenodo-rdm.web.cern.ch/records/fpf73-7gb09">_</a><a href="https://zenodo-rdm.web.cern.ch/records/kqf4w-6zs29">_</a><a href="https://zenodo-rdm.web.cern.ch/records/gpaas-r2060">_</a><a href="https://zenodo-rdm.web.cern.ch/records/psczn-97650">_</a><a href="https://zenodo-rdm.web.cern.ch/records/fv85n-hak91">_</a><a href="https://zenodo-rdm.web.cern.ch/records/q8s57-4ee21">_</a><a href="https://zenodo-rdm.web.cern.ch/records/x9vcn-t0d97">_</a><a href="https://zenodo-rdm.web.cern.ch/records/awvm4-mp179">_</a><a href="https://zenodo-rdm.web.cern.ch/records/240cy-nkt39">_</a><a href="https://zenodo-rdm.web.cern.ch/records/71730-q4s10">_</a><a href="https://zenodo-rdm.web.cern.ch/records/4rc44-ab535">_</a><a href="https://zenodo-rdm.web.cern.ch/records/2x6aa-46m91">_</a><a href="https://zenodo-rdm.web.cern.ch/records/egkfw-80e61">_</a><a href="https://zenodo-rdm.web.cern.ch/records/6b8bx-5ek61">_</a><a href="https://zenodo-rdm.web.cern.ch/records/bjzss-cyg34">_</a><a href="https://zenodo-rdm.web.cern.ch/records/1eqqk-3yz13">_</a><a href="https://zenodo-rdm.web.cern.ch/records/p2mzj-nzj63">_</a><a href="https://zenodo-rdm.web.cern.ch/records/c28p9-d4f33">_</a><a href="https://zenodo-rdm.web.cern.ch/records/mscch-xa189">_</a><a href="https://zenodo-rdm.web.cern.ch/records/rv12m-28f70">_</a><a href="https://zenodo-rdm.web.cern.ch/records/bs301-g4a96">_</a><a href="https://zenodo-rdm.web.cern.ch/records/b2xb8-naf47">_</a><a href="https://zenodo-rdm.web.cern.ch/records/rfrrd-h4658">_</a><a href="https://zenodo-rdm.web.cern.ch/records/qsbbp-66x34">_</a><a href="https://zenodo-rdm.web.cern.ch/records/f2emv-5rs37">_</a><a href="https://zenodo-rdm.web.cern.ch/records/72ad4-87436">_</a><a href="https://zenodo-rdm.web.cern.ch/records/k72vd-xc327">_</a><a href="https://zenodo-rdm.web.cern.ch/records/0wjay-pna54">_</a><a 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CERN Anonymized Mattermost Data
<p>The information generated in large organizations has been a great source of information for researchers, facilitating innovation and advances in various areas. Promoting an open and transparent approach has provided diverse benefits and competitive advantages for organizations. This dataset contains anonymized data from the CERN Mattermost service. The selected entities are Channel Information, Channel Member, Channel Member History, Teams, Team Members, and User.</p> <p>Document "<strong>CERN_Mattermost_OpenData_Tables.pdf</strong>" contains the data descriptions of data entities available from Mattermost before risk assessment and anonymization.</p> <p>Document "<strong>CERN_Mattermost_OpenData_Tables-Anonymus.pdf</strong>", contains data descriptions of data entities published within this dataset found in the "matermost.json" file.</p> <p>The dataset is released under the "CC BY-NC Creative Commons Attribution Non-Commercial Licence", to prevent the commercial application of the dataset, since the intent is to use the dataset for research purposes.</p> <p>The table below provides a brief overview of the data contained in the dataset:</p> <table> <thead> <tr> <th scope="col">Description</th> <th scope="col">Value</th> </tr> </thead> <tbody> <tr> <td>Number of Users </td> <td>21231</td> </tr> <tr> <td>Number of Teams</td> <td>2367</td> </tr> <tr> <td>Number of Buildings</td> <td>151</td> </tr> <tr> <td>Number of Organisational Units</td> <td>163</td> </tr> <tr> <td>Number of Channels</td> <td>12773</td> </tr> </tbody> </table> <p>A small framework to work with the CERN Anonymized Mattermost Data Set was created and can be reached via the following link:</p> <ul> <li><a href="https://github.com/mpobaschnig/cdhf">CERN Data Handling Framework</a> (DOI: 10.5281/zenodo.6572538)</li> </ul> <p><strong>Frequently Asked Questions</strong></p> <p><strong><em>What does it mean if a user does not have an Organisational Id and/or Building Id?</em></strong></p> <ul> <li>This means that the User is an external user, for example a Guest Lecturer which has access to CERN Mattermost but is not part of an Organisational Unit or Building.</li> </ul> <p> </p>
Particle sonification (CERN)
<p>The video present a sonification of particles. The development was grant by the European Union, under the project REINFORCE. The data was obtained during this collaboration from the European Organization for Nuclear Research (CERN).</p> <p>"The REINFORCE project has received funding from the European Union’s Horizon 2020 project call H2020-SwafS-2018-2020 funded project Grant Agreement no. 872859"</p> <p> </p> <p>For more information visit:</p> <p>www.reinforceeu.eu/</p> <p>www.zooniverse.org/projects/reinforce/new-particle-search-at-cern</p>
(re)Use Indications of High Energy Physics related Research Data and Software in CERN Open Data Portal
<p>This dataset contains High Energy Physics related research data and software (re)use indications (formal citations, informal mentions) in scholarly works. All research data and software resources were identified and extracted from CERN Open Data Portal. The (re)use indications were identified by a mix of approaches: use of citation discovery services and multiple search approaches in Google Scholar. All identified research data and software (re)use indications were classified according to their purpose, location, and elements.</p> <p>The data was collected in 2018 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
Clinical Protocol CERN Feasibility Study
ClinicalTrials.gov study NCT06933420. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.