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Data from the Knowledge Rights 21 Project Retain Institutional Survey 2022
<p>Project Retain is a one-year project led by SPARC Europe as part of The Knowledge Rights 21 (KR21) Programme, funded by Arcadia fund (https://www.arcadiafund.org.uk/) which aims to promote change in European copyright, in this case, to support Open Access. Research on rights retention and open licensing in Europe aims to underpin a campaign to develop copyright policy amongst publishers, funders and institutions to support authors.</p> <p>The results of the project Retain are published in the "Opening Knowledge: Retaining Rights and Licensing in Europe 2023" report - <a href="https://doi.org/10.5281/zenodo.8084051">https://doi.org/10.5281/zenodo.8084051</a>.</p> <p>Within the project, the survey was conducted with the aim to understand the policies and support research institutions have put in place in a number of areas affecting their researchers.<br> The survey asks about the following topics:</p> <p>1. Copyright of scientific publications - how intellectual property that protects original works of authorship applies to the written outputs of research.<br> Specifically:</p> <ul> <li>Whether the initial ownership of copyright is with authors or their</li> <li>employing organisation</li> <li>What rights are transfered from authors to publisher</li> </ul> <p>2. Author rights retention - the extent to which researchers retain rather than transferring control of their published research</p> <p>3. Reuse of scientific publications - ensuring that the written outputs of research can be reused, by the community as a whole but also by the original author in new contexts</p> <p>4. Open licensing - the promotion of licenses which grant permission to access, re-use and redistribute.</p> <p>The full survey questionnaire file is included in appended to the dataset.</p> <p>The survey was disseminated widely across Europe by SPARC Europe and its partner organisations through newsletters, email lists and social media channels in the autumn of 2022. The survey received 238 unique responses with a completion rate of 71%. </p> <p>A total of 92 responses were excluded from the final analysis because:</p> <ul> <li>they provided extremely limited or no detail in their responses</li> <li>they answered ‘no’ when asked if they agreed to take part in the survey</li> <li>their response was identifiably a duplicate </li> </ul> <p>A total of 146 unique responses were included in the final dataset and analysed.</p> <p>The deposited dataset is anonymised: the personal data and the names and URLs of the institutions are removed or redacted.<br> </p>
Dataset of the authorisation protocol of the AI-SPRINT project
<p>Dataset concerning the authorisation protocol of the AI-SPRINT European project which was created for performance evaluation purpose</p>
Results related to the case study 4 of the openENTRANCE project - SCOPE SD version 2023
<p>This dataset contains scenarios results for Case Study 4 of the openENTRANCE project.</p> <p>You can find additional information, including model results and case study setup, at Deliverable D6.2 of the openENTRANCE project at <a href="https://openentrance.eu/">openENTRANCE – open ENergy TRanstion ANalyses for a low-Carbon Economy</a>. </p> <p>Further information on the SCOPE SD model is given in: Frischmuth, F., Härtel, P.: Hydrogen sourcing strategies and cross-sectoral flexibility trade-offs in net-neutral energy scenarios for europe. Energy (2022). https://doi.org/10.1016/j.energy.2021.121598</p> <p>The data file follows the IAMC data format and the conventions established by the openENTRANCE project. See <a href="https://github.com/openENTRANCE/openentrance">https://github.com/openENTRANCE/openentrance</a> for details.</p> <p>Visit the openENTRANCE Scenario Explorer at <a href="https://data.ene.iiasa.ac.at/openentrance">https://data.ece.iiasa.ac.at/openentrance</a> for more information.</p> <p> </p>
Coralshift Master of Research Project Toy Datasets
<p><a href="https://pro.arcgis.com/en/pro-app/latest/help/data/multidimensional/what-is-netcdf-data.htm#:~:text=NetCDF%20(network%20Common%20Data%20Form,view%20from%20the%20netCDF%20file.">.netcdf</a> files for demonstrating methods and visualising data reported in the "Coralshift" Master of Research project. Datasets simplified to reduce computational demand and/or limited to <a href="http://pid.geoscience.gov.au/dataset/ga/115066">Great Barrier Reef A</a>.</p> <p><strong>GBR_A_Couce_comparison.nc </strong>– time-parameterised statistics for comparison to Couce et al. (<a href="https://doi.org/10.1111/j.1365-2699.2012.02706.x">2013</a>, <a href="https://doi.org/10.1111/gcb.16690">2023</a>).</p> <p><strong>GBR_A_all_variables_timeseries.nc </strong>– annual means of all variables used in the accompanying report.</p>
Data of soil mineralization rates, carbon and nitrogen pools in a rainfed almond crop and an irrigated mandarin crop derived from Diverfarming project
Data of soil carbon and nitrogen dynamics, auxiliary data and methods metadata from a rainfed almond crop and an irrigated mandarin crop studied in Diverfarming project
Data platform (genotyping data set) related to ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 "The role of vitamin D gene polymorphisms and its receptors in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis".
<p><strong>Data platform </strong><strong>(genotyping dataset)</strong> <strong>related to the ERDF postdoctoral project No. </strong><strong>1.1.1.2/VIAA/4/20/718</strong><strong> “</strong><strong>The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis</strong><strong>”.</strong></p> <p><strong>About the project and gathered data:</strong></p> <p>The dataset contains genotyping data on 289 sex-balanced samples (approximately 60% women / 40% men)) were created at the the multiple sclerosis (MS) Clinic of the Latvian Maritime Medical Center (LMMC) in 2011 (disease duration of 1-51 years); the collection was updated within the framework of the ERDF MS project (2017-2020) and replenished during the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 “The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis” (2021-2023).</p> <p>For the <strong>Genotyping dataset </strong>relevant information for each patient from the MS disease cohort, referring to proteasomal gene genetic variations (microsatellites and SNPs): (HSMS006 <em>(PSMA6),</em> HSMS602 <em>(FAM177A1),</em> HSMS701 <em>(KIAA0391)</em>, HSMS702 <em>(KIAA0391)</em> HSMS801 <em>(KIAA0391)</em>, rs11543947<em>(PSMB5), </em>rs2277460 (mi110), rs1048990 (mi8)<em> (PSMA6),</em> rs1048990 (mi8)<em> (PSMA6),</em> rs2295826/rs2295827<em>(PSMC6),</em> rs2348071 <em>(PSMA3),</em> rs2071543, rs9357155 <em>(PSMB8),</em> rs17587<em>(PSMB9),</em> rs74421874 <em>(PSMD9); </em>rs9275596 from HLA region; vitamin D-related genes (VDR and GC) polymorphisms: rs2228570, rs1544410, rs7975232, rs731236 (<em>VDR</em>) and rs7041, rs4588 <em>(GC).</em></p>
Balancing Innovation and Responsibility: The e-DIPLOMA Project's Approach to Ethical, Inclusive, Accessible, and Sustainable Research (video)
<p>This video includes project motivation, primary objective and methodology developed at e-DIPLOMA project and emphasize the Responsible Research and Innovation actions implemented in the project. e-DIPLOMA ensures the consideration of ethics, gender equality, legal aspects, and data privacy as well as it prioritizes transparency and accessibility.</p> <p>Project website: https://e-diplomaproject.eu/</p>
FIG. 2 in Museum as a Refuge: the case of a Community Project in La Tatacoa desert in Colombia
FIG. 2. — Photos of the exhibition: A, from Green to Ocher exhibit; B, among Giants exhibit. Photo credits: Parque Explora.
Quality Assurance Awareness in Open Source Software Projects on GitHub Analysis Dataset
<p>Dataset for the paper "Quality Assurance Awareness in Open Source Software Projects on GitHub", submitted to the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), 2023.</p>
Model output from Snow Ensemble Uncertainty Project (SEUP) as used in Seasonal Snow Predictability Derived from Early-Season Snow in North America
<p>The files provided here are the output from the median peak snow water equivalent (peak_SWE.mat), 1 December snow water equivalent (Dec1_SWE.mat), and 1 January snow water equivalent (Jan1_SWE.mat) model simulations for the Noah-MP run with MERRA-2 forcing, as used in Lundquist et al. (2023) and described in Kim et al. (2021). We also include the model grid's latitude, longitude and elevation data (SEUPlatlon.mat), and example code for plotting the data (Plotmodeldata.m) as in the Lundquist et al. (2023) paper. </p> <p>Kim, R. S., Kumar, S., Vuyovich, C., Houser, P., Lundquist, J., Mudryk, L., et al. (2021). Snow Ensemble Uncertainty Project (SEUP): Quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling. <em>The Cryosphere, 15</em>(2), 771-791.</p> <p>Lundquist, J. D., R. S. Kim, M. Durand, and L. R. Prugh, 2023, Seasonal Peak Snow Predictability Derived from Early-Season Snow in North America, Geophysical Research Letters, (submitted 2023)</p>
BioRodDis project - Individual information on rodent samples - Jura (France) 2020/2022
<p>This xlxs file contains 190 rodent individuals for which the serological statut for the Puumala (PUUV) orthohantavirus was assessed by immunofluorescence assay (IFA) and enzyme-linked immunosorbent assay (ELISA). </p> <p>The table is organized with the sequencing code in row and the different individual variables in column:</p> <p>Corresponding abbreviations:</p> <p>- CodeID : the unique identifier of each individual</p> <p>- Species: the rodent species</p> <p>- Locality: the sampling locations: La Glacière=”FRFGLA”, Mignovillard=”FRFMIG”</p> <p>- Sex: the sex (F=female; M=male)</p> <p>- Season: the season of sampling</p> <p>- Year: the year of sampling</p> <p>- Period: the season and year of sampling</p> <p>- Weight: the weight (g)</p> <p>- Body_length: the body length (cm)</p> <p>- Tail_length: the tail lenght (cm)</p> <p>- Testes_position: the testes position status (0/1)</p> <p>- Testes_length: the testes lenght (mm)</p> <p>- Seminal_ves_dev: the seminal vesicles development status(0/1)</p> <p>- Vulva: the vulva opening status (0/1)</p> <p>- Lactation: the lactation status (0/1)</p> <p>- Placental_scars: presence of placental scars (0/1)</p> <p>- Uterus_dev: the uterus development status (0/1)</p> <p>- Gestation: the gestation status (0/1)</p> <p>- Sexual_Maturity: the sexual maturity (Mature or immature)</p> <p>- IFA_PUUV: the PUUV serological status by IFA (0= negative; 1= positive)</p> <p>- Serology: the PUUV serological status by ELISA (0= negative; 1= positive)</p>
PFR AOD and solar irradiance data aquired during the MAPP project.
<p>Aerosol optical depth and solar irradiance data acquired in the frame of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04 with the Precision FilterRadiometer PFR-98-N-001. </p> <ul> <li>Monitoring period at Davos, 2021 -2022</li> <li>Rome Campaign – Sep.2021</li> <li>Izaña Campaign -Sep.2022</li> </ul> <p>for the dataset of version 1.0 the calibration of the PFR is against the PFR-Triad has been used. For the SI-traceable AOD retrieval the PTB (Physikalisch-Technische Bundesanstalt, Braunschweig, Germany) calibration (Kouremeti, Nevas et al. 2022) has been used in combination with QASUMEFTS (Gröbner, Kröger et al. 2017) for 368 nm and 412 nm, and TSIS-1 (Coddington, Richard et al. 2021) for 501 nm and 862 nm.</p> <p><strong>Calibration Record </strong></p> <p>The calibration record given as Top-of-Atmosphere PFR signal (<em>V<sub>0</sub></em>) and the expanded combined uncertainty of <em>V<sub>0</sub></em> (<em>U) </em>are given in the following table in Volts .</p> <table align="center"> <tbody> <tr> <td> <p> </p> </td> <td> <p><strong>PFR-TRIAD (2021)</strong></p> </td> <td> <p><strong>PTB</strong></p> </td> <td> <p><strong>Langley Izaña</strong></p> </td> </tr> <tr> <td> <p> </p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> <td> <p><em>V<sub>0 </sub></em>(V)</p> </td> <td> <p><strong><em>U </em></strong>(V)</p> </td> </tr> <tr> <td> <p>862nm</p> </td> <td> <p>3.380</p> </td> <td> <p>0.017</p> </td> <td> <p>3.3602</p> </td> <td> <p>0.006</p> </td> <td> <p>3.376</p> </td> <td> <p>0.003</p> </td> </tr> <tr> <td> <p>501nm</p> </td> <td> <p>3.717</p> </td> <td> <p>0.010</p> </td> <td> <p>3.7326</p> </td> <td> <p>0.006</p> </td> <td> <p>3.712</p> </td> <td> <p>0.004</p> </td> </tr> <tr> <td> <p>412nm</p> </td> <td> <p>3.503</p> </td> <td> <p>0.010</p> </td> <td> <p>3.5368</p> </td> <td> <p>0.010</p> </td> <td> <p>3.493</p> </td> <td> <p>0.005</p> </td> </tr> <tr> <td> <p>368nm</p> </td> <td> <p>4.011</p> </td> <td> <p>0.012</p> </td> <td> <p>4.0438</p> </td> <td> <p>0.026</p> </td> <td> <p>4.006</p> </td> <td> <p>0.007</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>Data description</strong> </p> <p>The data are daily files in matlab table format (table name PFR)</p> <p>The table contains 5 variables: 'Station' , 'Instrument' , 'Date' , 'Data' , 'MetaData_Flags'</p> <p>The variables of each sub-table and theirs units can be seen using e.g. the following : </p> <p>PFR.Data{1}.Properties.VariableNames, PFR.Data{1}.Properties.VariableUnits</p> <p>The signal, irradiance and atmospheric transmittance have been corrected for the Sun-Earth distance and are given at 1AU. </p> <p><em>Measurements, calibration and aanlysis performed by NK </em></p> <p><strong>References </strong></p> <p>Coddington, O. M., E. C. Richard, D. Harber, P. Pilewskie, T. N. Woods, K. Chance, X. Liu and K. Sun (2021). "The TSIS-1 Hybrid Solar Reference Spectrum." Geophysical Research Letters <strong>48</strong>(12): e2020GL091709.</p> <p>Gröbner, J., I. Kröger, L. Egli, G. Hülsen, S. Riechelmann and P. Sperfeld (2017). "The high-resolution extraterrestrial solar spectrum (QASUMEFTS) determined from ground-based solar irradiance measurements." Atmos. Meas. Tech. <strong>10</strong>(9): 3375-3383.</p> <p>Kouremeti, N., S. Nevas, S. Kazadzis, J. Gröbner, P. Schneider and K. M. Schwind (2022). "SI-traceable solar irradiance measurements for aerosol optical depth retrieval." Metrologia <strong>59</strong>(4): 044001.</p> <p><strong>Acknowledgments</strong></p> <p>This data was obtained within the joint research project EMPIR 19ENV04 MAPP “Metrology for aerosol optical properties” which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.</p>
PSR irradiance and AOD data aquired during MAPP project
<p>Aerosol optical depth (AOD) and solar irradiance data acquired in the frame of the JRP project MAPP, Metrology for Aerosol Optical Properties 19ENV04 with the Precision SpectroRadiometer PSR-009 (Gröbner and Kouremeti 2019).</p> <p>The calibrations of the PSR-009 have been performed at PMOD/WRC while the straylight correction has been measured at PMOD/WRC and PTB.</p> <p>The Top-of-Atmosphere solar spectrum convolved with the slit functions of the PSR, used for the AOD retrieval is stated in the field <em>PSR.FN_ETS</em></p> <p>· PSR_009_QASUMEFTS_env03_cosi_kittpeak_thullier_LSF_SLITextFillLSF.mat: QUASUMEFTS (Gröbner, Kröger et al. 2017) (300-450 nm) and ATLAS (Thuillier, Hersé et al. 2003)(450 nm -1030 nm) </p> <p>· PSR_009_QASUMEFTS_TSIS_HSRSall_LSF_SLITextFillLSF.mat: QUASUMEFTS (Gröbner, Kröger et al. 2017) (300-450 nm) and TSIS-1 (Coddington, Richard et al. 2021) (450 nm -1030 nm) </p> <p>· PSR_009_TSIS_HSRSall_LSF_SLITextFillLSF.mat: TSIS-1 (Coddington, Richard et al. 2021) </p> <p><strong>References </strong></p> <p>Coddington, O. M., E. C. Richard, D. Harber, P. Pilewskie, T. N. Woods, K. Chance, X. Liu and K. Sun (2021). "The TSIS-1 Hybrid Solar Reference Spectrum." Geophysical Research Letters <strong>48</strong>(12): e2020GL091709.</p> <p>Gröbner, J. and N. Kouremeti (2019). "The Precision Solar Spectroradiometer (PSR) for direct solar irradiance measurements." Solar Energy <strong>185</strong>: 199-210.</p> <p>Gröbner, J., I. Kröger, L. Egli, G. Hülsen, S. Riechelmann and P. Sperfeld (2017). "The high-resolution extraterrestrial solar spectrum (QASUMEFTS) determined from ground-based solar irradiance measurements." Atmos. Meas. Tech. <strong>10</strong>(9): 3375-3383.</p> <p>Thuillier, G., M. Hersé, D. Labs, T. Foujols, W. Peetermans, D. Gillotay, P. C. Simon and H. Mandel (2003). "The Solar Spectral Irradiance from 200 to 2400 nm as Measured by the SOLSPEC Spectrometer from the Atlas and Eureca Missions." Solar Physics <strong>214</strong>(1): 1-22.</p> <p><strong>Acknowledgments</strong></p> <p>This data was obtained within the joint research project EMPIR 19ENV04 MAPP “Metrology for aerosol optical properties” which has been supported by the European Metrology Program for Innovation and Research (EMPIR) . The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.</p> <p> </p> <p> </p>
Identifying Interdisciplinary Research in Research Projects
<p>The dataset is based on the paper: </p> <p>Hoang-Son Pham, Bram Vancraeynest, Hanne Poelmans, Sadia Vancauwenbergh and Amr Ali-Eldin ‘’Identifying Interdisciplinary Research in Research Projects’’, Scientometrics (Accepted).</p> <p>The dataset includes: </p> <p>1. FRIS_project_2019: a list of project metadata extracted from FRIS portal</p> <p>2. VODS_disciplines: a list of VODS disciplines</p> <p>3. Distance matrix: Distance matrix</p> <p> </p> <p>* Kindly refer to our paper for more details on the dataset.</p>
Microcoils current density test - H2020 UWIPOM2 PROJECT
<p>Microcoils current density test</p> <p>https://www.youtube.com/watch?v=sHlJ5IYTNTw&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
On-air microcoil current density test - H2020 UWIPOM2 PROJECT
<p>On-air microcoil current density test</p> <p>https://www.youtube.com/watch?v=CkEstS5zUFQ&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
Microcoils manufacturing process H2020 UWIPOM2 PROJECT
<p>Microcoils manufacTuring process</p> <p>https://www.youtube.com/watch?v=gwXPUAHZKFk&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
Magnet shaft glue attachment - H2020 UWIPOM2 PROJECT
<p>Magnet shaft glue attachment</p> <p>https://www.youtube.com/watch?v=_ti1S5S8bg4&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
Assembly of microrotor - H2020 UWIPOM2 PROJECT
<p>Assembly of microrotor</p> <p>https://www.youtube.com/watch?v=_mzquPWnpIE&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
Miniaturized helical antenna manufacturing process - H2020 UWIPOM2 PROJECT
<p>Miniaturized helical antenna manufacturing process</p> <p>https://www.youtube.com/watch?v=Va-iSQlFMnY&ab_channel=Prof.Efr%C3%A9nD%C3%ADezJim%C3%A9nez-UniversidaddeAlcal%C3%A1</p>
ScienceDex guides
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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.