cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13501902
title: Ihssen & Wadsley, 2020, Reward & Social Networking Sites

description: Data contained in this file are reported in: Ihssen & Wadsley (2020), A Reward and Incentive-Sensitization Perspective on Compulsive Use of Social Networking Sites – Wanting but not Liking Predicts Checking Frequency and Problematic Use Behavior, Addictive Behaviors.<br>The file contains survey data from 358 participants (mean age 20.9 years) who took part in three online studies at Durham University. The studies investigated behavioural, motivational and affective processes in relation to Social Networking Sites (SNSs).<br>Studies were presented on the Online Surveys platform (https://www.onlinesurveys.ac.uk) and approved by the Ethics Sub-Committee in the Department of Psychology at Durham University. All participants gave fully informed consent.Key measures included:-SNS use measures (typical daily time spent on SNSs, frequency of checking SNSs, indicators of problematic SNS use [adapted items from the four symptom clusters of the DSM-V criteria for substance addiction]). <br>-Wanting (urges to use SNSs) and liking of SNSs (enjoyment)<br>-Cue reactivity ("CR"): Motivational responses to logo images of four widely used SNSs (Facebook, Twitter, Instagram and Snapchat)<br>
DOI: 10.6084/m9.figshare.13521713
title: Raw_data_arh3

description: raw data arch 3<br>
DOI: 10.6084/m9.figshare.13521713.v1
title: Raw_data_arh3

description: raw data arch 3<br>
DOI: 10.6084/m9.figshare.13521908
title: Musictherapy_TLH

description: Musictherapy and preoperative anxiety in patients undergoing laparoscopic hysterectomy
DOI: 10.6084/m9.figshare.13521908.v1
title: Musictherapy_TLH

description: Musictherapy and preoperative anxiety in patients undergoing laparoscopic hysterectomy
DOI: 10.5517/ccdc.csd.cc24y5mx
title: CCDC 1994249: Experimental Crystal Structure Determination

description: Related Article: Min-Chih Tang, Yu-Chen Wei, Yen-Chen Chu, Cai-Xin Jiang, Zhi-Xuan Huang, Chi-Chi Wu, Tzu-Hsuan Chao, Pei-Hsun Hong, Mu-Jeng Cheng, Pi-Tai Chou, Yao-Ting Wu|2020|J.Am.Chem.Soc.|142|20351|doi:10.1021/jacs.0c08115
DOI: 10.5517/ccdc.csd.cc24y5ny
title: CCDC 1994250: Experimental Crystal Structure Determination

description: Related Article: Min-Chih Tang, Yu-Chen Wei, Yen-Chen Chu, Cai-Xin Jiang, Zhi-Xuan Huang, Chi-Chi Wu, Tzu-Hsuan Chao, Pei-Hsun Hong, Mu-Jeng Cheng, Pi-Tai Chou, Yao-Ting Wu|2020|J.Am.Chem.Soc.|142|20351|doi:10.1021/jacs.0c08115
DOI: 10.5517/ccdc.csd.cc25wr3y
title: CCDC 2022660: Experimental Crystal Structure Determination

description: Related Article: Ryo Inoue, Riki Kondo, Yasuhiro Morisaki|2020|Chem.Commun.|56|15438|doi:10.1039/D0CC06205G
DOI: 10.5517/ccdc.csd.cc268ckf
title: CCDC 2033834: Experimental Crystal Structure Determination

description: Related Article: Alberto Riaño, Marco Carini, Manuel Melle-Franco, Aurelio Mateo-Alonso|2020|J.Am.Chem.Soc.|142|20481|doi:10.1021/jacs.0c10345
DOI: 10.5281/zenodo.3534949
title: Toy dataset for metaGEM documentation (Gut v1)

description: This dataset was generated to test and benchmark the metaGEM workflow. The 100 bp illumina WGS reads consist of ~10% subsets of 3 paired end sets of reads from the following publication: Karlsson, Fredrik H., et al. “Gut Metagenome in European Women with Normal, Impaired and Diabetic Glucose Control.”<em> Nature</em>, vol.498,no.7452,2013,pp.99–103., doi:10.1038/nature12198. SRA Accession code ERP002469. The subsets were generated using the command line tool seqtk: <pre><code class="language-bash">seqtk sample -s100 sample_X.fastq.gz 3000000 &gt; subset_X.fastq.gz</code></pre> The sample names in the original publication used to generate the toy dataset are ERR260162 (sample1), ERR260173 (sample2), ERR260184 (sample3).
DOI: 10.5281/zenodo.3534948
title: Toy dataset for metaGEM documentation (Gut v1)

description: This dataset was generated to test and benchmark the metaGEM workflow. The 100 bp illumina WGS reads consist of ~10% subsets of 3 paired end sets of reads from the following publication: Karlsson, Fredrik H., et al. “Gut Metagenome in European Women with Normal, Impaired and Diabetic Glucose Control.”<em> Nature</em>, vol.498,no.7452,2013,pp.99–103., doi:10.1038/nature12198. SRA Accession code ERP002469. The subsets were generated using the command line tool seqtk: <pre><code class="language-bash">seqtk sample -s100 sample_X.fastq.gz 3000000 &gt; subset_X.fastq.gz</code></pre> The sample names in the original publication used to generate the toy dataset are ERR260162 (sample1), ERR260173 (sample2), ERR260184 (sample3).
DOI: 10.25625/hmgrzt/nxfzut
title: Digital Winter School L-1-1.pdf

description: Ankündigung zur digitalen Winterschule in einem kleinen Format zum FDM der UB Hildesheim im März 2021. Forscherinnen und Forscher sind eigenverantwortlich für die Einhaltung der guten wissenschaftlichen Praxis. Die Universitätsbibliothek Hildesheim begegnet ihnen im Forschungsdatenmanagement. Das FDM der Stiftung Universität Hildesheim orientiert sich an den Profilschwerpunkten der Universität, von den Erziehungswissenschaften im Fachbereich 1 bis zu Software Systems Engineering (SSE) im Fachbereich 4. Für die fortlaufende Unterstützung und Information zum FDM sind seit Beginn der Covid-19 Pandemie vorhandene Formate für den digitalen Raum neu geformt worden. Es findet weiterhin ein enger Austausch mit den Forschenden statt. Die Bewußtseinsbildung für ‘FAIRe Daten’, im Kontext einer Ermöglichung des Zugangs zu öffentlich finanzierter Forschung bestimmten Kulturwandel, konnte weiterhin gestärkt werden. Die digitale Winter School (in einem mini Format) verfolgt das Ziel zum Umgang mit Forschungsdaten aus unterschiedlichen Perspektiven zu informieren, Forscherinnen und Forscher entlang das Datenzyklus zu unterstützen und in einen weiteren Austausch mit der Forschungsdaten-Community zu treten.
DOI: 10.25625/hmgrzt/qgidye
title: as_Poster_Coffee Lectures Sommersemester 2021.pdf

description: Die Nachhaltigkeit von Forschungsdaten, das Teilen von Forschungsdaten oder Publikationen von Datenbeständen gewinnen zunehmend an Bedeutung. Journals verlangen oft die Verfügbarmachung von Publikationen der zugrundeliegenden Daten eines Artikels. Universitäten, darunter auch die Universität Hildesheim, verabschieden Research Data Policies, und Forscherinnen und Forscher diskutieren sowohl die Chancen als auch die Risiken von "Open Data", die Herausforderungen des Datenschutzes und der Forschungsethik. Annette Strauch von der Universitätsbibliothek Hildesheim gibt einen kurzen Überblick zum Thema Forschungsdatenmanagement. Zusätzlich wird das Dienstleistungsspektrum der Uni-Bibliothek zu den E-Science Unterstützungsangeboten vorgestellt.
DOI: 10.25625/hmgrzt
title: Poster zum Forschungsdatenmanagement 2021

description: Poster zu Veranstaltungen im Forschungsdatenmanagement der Stiftung Universität Hildesheim, UB Hildesheim. Digitale Winterschule zum FDM, 2021. Coffee Lectures zum FDM im Sommersemester 2021.
DOI: 10.5519/qd.jh75xka6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15129/3708a522-189e-4a41-8419-89e5f626237b
title: Data for: "Ti alloyed α-Ga2O3: route towards wide band gap engineering"

description: This dataset contains the figure files and associated spreadsheets (.xls) for the plots.
DOI: 10.5281/zenodo.4419625
title: Spatial Span and Matrix Reasoning data from the UW-Madison Learning and Transfer Lab

description: <strong>Matrices_SpatialSpan.csv</strong> includes one row for every mouse click for every trial for each participant's spatial span performance (for similar spatial span methods see Cochrane, Simmering, & Green, 2019, PLOS One). Participant IDs, trial numbers, the presence [f] or absence [n] of feedback, and task order (spatial span first or spatial span second) are included alongside by-click accuracy. Also included are each participants' average scores on a subset of items from the UCMRT (Pahor et al., 2019, Beh. Res. Meth) and from the matrices developed at Sandia National Laboratories (Matzen et al., 2010, Beh. Res. Meth.). <strong>robustCor.R </strong>is R code implementing a test of bivariate correlation. Univariate Yeo-Johnson transformations are applied, then bootstrapped correlations coefficients are calculated. Point estimates, CI, and Bayes Factors are each returned. Data were collected and code was developed as part of A. Cochrane's dissertation work at the University of Wisconsin - Madison under the supervision of C. Shawn Green.
description: {"references": ["Matzen, L. E., Benz, Z. O., Dixon, K. R., Posey, J., Kroger, J. K., & Speed, A. E. (2010). Recreating Raven's: Software for systematically generating large numbers of Raven-like matrix problems with normed properties. Behavior Research Methods, 42(2), 525\u2013541. https://doi.org/10.3758/BRM.42.2.525", "Pahor, A., Stavropoulos, T., Jaeggi, S. M., & Seitz, A. (2019). Validation of a matrix reasoning task for mobile devices. Behavior Research Methods, 51(5), 2256\u20132267. https://doi.org/10.3758/s13428-018-1152-2", "Cochrane, A., Simmering, V. R., & Green, C. S. (2019). Fluid intelligence is related to capacity in memory as well as attention: Evidence from middle childhood and adulthood. PLOS ONE, 14(8), e0221353. https://doi.org/10.1371/journal.pone.0221353"]}
DOI: 10.5281/zenodo.4419624
title: Spatial Span and Matrix Reasoning data from the UW-Madison Learning and Transfer Lab

description: <strong>Matrices_SpatialSpan.csv</strong> includes one row for every mouse click for every trial for each participant's spatial span performance (for similar spatial span methods see Cochrane, Simmering, & Green, 2019, PLOS One). Participant IDs, trial numbers, the presence [f] or absence [n] of feedback, and task order (spatial span first or spatial span second) are included alongside by-click accuracy. Also included are each participants' average scores on a subset of items from the UCMRT (Pahor et al., 2019, Beh. Res. Meth) and from the matrices developed at Sandia National Laboratories (Matzen et al., 2010, Beh. Res. Meth.). <strong>robustCor.R </strong>is R code implementing a test of bivariate correlation. Univariate Yeo-Johnson transformations are applied, then bootstrapped correlations coefficients are calculated. Point estimates, CI, and Bayes Factors are each returned. Data were collected and code was developed as part of A. Cochrane's dissertation work at the University of Wisconsin - Madison under the supervision of C. Shawn Green.
description: {"references": ["Matzen, L. E., Benz, Z. O., Dixon, K. R., Posey, J., Kroger, J. K., & Speed, A. E. (2010). Recreating Raven's: Software for systematically generating large numbers of Raven-like matrix problems with normed properties. Behavior Research Methods, 42(2), 525\u2013541. https://doi.org/10.3758/BRM.42.2.525", "Pahor, A., Stavropoulos, T., Jaeggi, S. M., & Seitz, A. (2019). Validation of a matrix reasoning task for mobile devices. Behavior Research Methods, 51(5), 2256\u20132267. https://doi.org/10.3758/s13428-018-1152-2", "Cochrane, A., Simmering, V. R., & Green, C. S. (2019). Fluid intelligence is related to capacity in memory as well as attention: Evidence from middle childhood and adulthood. PLOS ONE, 14(8), e0221353. https://doi.org/10.1371/journal.pone.0221353"]}
DOI: 10.25919/jkmf-ne45
title: Parkes observations for project P885 semester 2020OCTS_04

description: We propose to continue observing the magnetars 1E 1547.0?5408 and PSR J1622?4950 weekly, to track their rotation, flux density, and polarisation. The revolutionary UWL capabilities promise new opportunities to disentangle still mysterious radio emission mechanisms in magnetars. This promise is supported by the recent follow up of XTE J1810?197, again a radio magnetar after 10 years dormant, and of the hot-off-the-press magnetar Swift J1818.0?1607, for which our observations with the UWL receiver are providing unique and tantalizing measurements of radio spectrum and polarisation.
DOI: 10.25625/1kwm7w/c1emwq
title: as_FDM_Wintersemester FDM 2019-1.pdf

description: Generische und disziplinspezifische Schulungen aus den Bereichen Sprach- und Informationswissenschaften, Erziehungs- und Sozialwissenschaften, Kulturwissenschaften, Informatik und verschiedene Use-Cases aus der Forschung wurden im Wintersemester an der SUH angeboten. Bisher wurden diese von den Fachbereichen sehr gut angenommen.
DOI: 10.25625/1kwm7w
title: Workshops im Forschungsdatenmanagement, Stiftung Universität Hildesheim, 2019

description: Generische und disziplinspezifische Schulungen aus den Bereichen Sprach- und Informationswissenschaften, Erziehungs- und Sozialwissenschaften, Kulturwissenschaften, Informatik und verschiedene Use-Cases aus der Forschung wurden im Wintersemester an der SUH angeboten. Bisher wurden diese von den Fachbereichen sehr gut angenommen.
DOI: 10.15129/e46d23a5-227b-4e2b-8a51-0f4bdd17d644
title: Performance of Hardware Accelerated Bone Segmentation on 4DCT Images

description: Results generated from testing the performance of a bone segmentation algorithm implemented in both hardware and software for segmenting bone in medical images. The bone segmentation algorithm used was one described by Haas et al. (doi: 10.1088/0031-9155/53/6/017). The algorithm was implemented in full in software and a simplified version was developed for hardware implementation, which was implemented in both hardware and software. Details of these implementations can be obtained from the following DOI: https://doi.org/10.15129/1a667dbc-8202-443d-a52b-45b5f8b498d2. The software algorithms were executed on a 2.6GHz Intel Core i5-3230M CPU, while the hardware system was implemented on a Xilinx Zynq Z7020 device on an AvNet ZedBoard development board. Image data in the form of 4-dimensional computed tomography (4DCT) scans of a Modus Medical QUASAR Programmable Respiratory Motion Phantom (Modus Medical Devices Inc. London, ON) were obtained from Edinburgh Cancer Centre (n=8) and used as the input data. Each of the datasets contained fifteen 3D image volumes that were each segmented. The time taken to process each image volume and each slice of each image volume was recorded for each of the three implementations. See the README file for further details.
DOI: 10.25646/7815
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5519/qd.mb3bjb2b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.13521680
title: raw data.xlsx

description: <b>Hydraulic fracturing characteristics and evaluation of fracturing effectiveness under different anisotropic angles and injection rates: A uniaxial experimental investigation</b><br>
DOI: 10.6084/m9.figshare.13521680.v1
title: raw data.xlsx

description: <b>Hydraulic fracturing characteristics and evaluation of fracturing effectiveness under different anisotropic angles and injection rates: A uniaxial experimental investigation</b><br>
DOI: 10.5517/ccdc.csd.cc25vrld
title: CCDC 2021714: Experimental Crystal Structure Determination

description: Related Article: Lei Guo, Mingbin Yuan, Yanyan Zhang, Fang Wang, Shengqing Zhu, Osvaldo Gutierrez, Lingling Chu|2020|J.Am.Chem.Soc.|142|20390|doi:10.1021/jacs.0c08823
DOI: 10.5517/ccdc.csd.cc26695x
title: CCDC 2031838: Experimental Crystal Structure Determination

description: Related Article: Shu-kai Liu, Wen-Ching Chen, Glenn P. A. Yap, Tiow-Gan Ong|2020|Organometallics|39|4395|doi:10.1021/acs.organomet.0c00618
DOI: 10.5517/ccdc.csd.cc23v0yy
title: CCDC 1961430: Experimental Crystal Structure Determination

description: Related Article: Li-Ping Jiang, Mohamedally Kurmoo, Ming-Hua Zeng|2020|Dalton Trans.|49|17683|doi:10.1039/D0DT02880K
DOI: 10.5517/ccdc.csd.cc26p89h
title: CCDC 2046226: Experimental Crystal Structure Determination

description: Related Article: Majed S. Fataftah, Sam L. Bayliss, Daniel W. Laorenza, Xiaoling Wang, Brian T. Phelan, C. Blake Wilson, Peter J. Mintun, Berk D. Kovos, Michael R. Wasielewski, Songi Han, Mark S. Sherwin, David D. Awschalom, Danna E. Freedman|2020|J.Am.Chem.Soc.|142|20400|doi:10.1021/jacs.0c08986
DOI: 10.5517/ccdc.csd.cc26p8bj
title: CCDC 2046227: Experimental Crystal Structure Determination

description: Related Article: Majed S. Fataftah, Sam L. Bayliss, Daniel W. Laorenza, Xiaoling Wang, Brian T. Phelan, C. Blake Wilson, Peter J. Mintun, Berk D. Kovos, Michael R. Wasielewski, Songi Han, Mark S. Sherwin, David D. Awschalom, Danna E. Freedman|2020|J.Am.Chem.Soc.|142|20400|doi:10.1021/jacs.0c08986
DOI: 10.6084/m9.figshare.13520135
title: Supplement Table S1

description: *: <i>P</i> &lt; 0.05 Compared with CONT. †: <i>P</i> &lt; 0.05 Compared with SHAM. a: P &lt; 0.05 Compared with ROM at 7.5 N･mm in the same group. Values are mean ± standard deviation.
DOI: 10.6084/m9.figshare.13520135.v3
title: Supplement Table S1

description: *: <i>P</i> &lt; 0.05 Compared with CONT. †: <i>P</i> &lt; 0.05 Compared with SHAM. a: P &lt; 0.05 Compared with ROM at 7.5 N･mm in the same group. Values are mean ± standard deviation.
DOI: 10.6084/m9.figshare.13520135.v2
title: Hip extension range of motion in rats

description: *: <i>P</i> &lt; 0.05 Compared with CONT. †: <i>P</i> &lt; 0.05 Compared with SHAM. a: P &lt; 0.05 Compared with ROM at 7.5 N･mm in the same group. Values are mean ± standard deviation.
DOI: 10.25625/67ogfn/ddccjm
title: as_FDM_Planen,Strukturieren_DIGITAL_13.05.2020-1.pdf

description: :unav
DOI: 10.25625/67ogfn/eqqko8
title: as_FDM_Aufbereiten und Veröffentlichen, Daten teilen_CL_DIGITAL_10.06.2020-1.pdf

description: :unav
DOI: 10.25625/67ogfn/rfhs8h
title: 1as_22.04.2020_CLdigital_FDM_Forschungsethik.22.04.2020-1.pdf

description: :unav
DOI: 10.25625/67ogfn/8pcdie
title: as_FDM_Mustereinwilligungen_CL_DIGITAL_24.06.2020.pdf

description: :unav
DOI: 10.25625/67ogfn
title: Materialien (Präsentationsfolien) der Coffee Lectures zum Forschungsdatenmanagement, Sommersemester 2020

description: Forscherinnen und Forscher können sich, wenn sie bereit für ein Forschungsdatenmanagement sind, jederzeit in der Universitätsbibliothek Hildesheim zum Umgang mit Daten informieren. Wir kommen dabei auf der technischen Ebene gut, kontinuierlich weiter und gehen ganz verantwortungsvoll mit der Wissenschaftsfreiheit um. Noch vor Beginn der geplanten Forschungsprojekte denken wir das Thema Forschungsethik, Ethik in den Wissenschaften und sicherheitsrelevante Forschung mit, um Mißbrauch von Forschung zu vermeiden. In Beratungen zum FDM (‘First-Level’ - Support) ist die Forschungsethik immer ein Thema, beim qualitativen oder quantitativen Forschungsprozess. Die Art der Datenerhebung hat sich in den letzten Jahren stark verändert. Wir gehen mit Smartphones und Tablets, usw., ins "Feld". Was ist dabei zu beachten? Neben der Forschungsethik wurden andere Aspekte im Forschungsdatenmanagement behandelt.
DOI: 10.5281/zenodo.4419710
title: Data in the analysis of Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective

description: This data is used in the analysis related to the article Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective. The data contain Crude Oil Prices, Exchange Rates, and Dummy variables coded 1 for the era before the Covid-19 outbreak and 0 for the era of Covid-19.
DOI: 10.5281/zenodo.4419709
title: Data in the analysis of Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective

description: This data is used in the analysis related to the article Comparative Study of the Impact of Dummy Variables on Regression Coefficients and Canonical Correlation Indices: an Empirical perspective. The data contain Crude Oil Prices, Exchange Rates, and Dummy variables coded 1 for the era before the Covid-19 outbreak and 0 for the era of Covid-19.
DOI: 10.5281/zenodo.4381330
title: Deliverable D-IA.2.2.OH-Harmony-Cap.2.1: Completed Pilot Survey

description: This is a public deliverable of One Health EJP Joint Research Project,<strong><em> </em></strong><strong><em>Integrative Action-2.2,</em></strong> <strong>OH-HARMONY-CAP: </strong>One Health Harmonisation of Protocols for the Detection of Foodborne Pathogens and AMR Determinants. <strong>https://onehealthejp.eu/jip-oh-harmony-cap/</strong> The purpose is to develop an integrated One Health map (OHLabCap ) of the levels of system capability/capacity/interoperability for each of the EU MS that is repeatable and sustainable. The first step is to develop of a pilot survey, targeting NRLs and the primary diagnostic services (primary sector). The pilot survey covers: 1. six priority bacteria and ten priority parasites have been chosen, as model organisms, together with the antimicrobial resistance (AMR) testing of <em>Salmonella</em> and <em>Campylobacter</em>. 2. 63 questions incorporating capability, capacity, and interoperability
DOI: 10.5281/zenodo.4381329
title: Deliverable D-IA.2.2.OH-Harmony-Cap.2.1: Completed Pilot Survey

description: This is a public deliverable of One Health EJP Joint Research Project,<strong><em> </em></strong><strong><em>Integrative Action-2.2,</em></strong> <strong>OH-HARMONY-CAP: </strong>One Health Harmonisation of Protocols for the Detection of Foodborne Pathogens and AMR Determinants. <strong>https://onehealthejp.eu/jip-oh-harmony-cap/</strong> The purpose is to develop an integrated One Health map (OHLabCap ) of the levels of system capability/capacity/interoperability for each of the EU MS that is repeatable and sustainable. The first step is to develop of a pilot survey, targeting NRLs and the primary diagnostic services (primary sector). The pilot survey covers: 1. six priority bacteria and ten priority parasites have been chosen, as model organisms, together with the antimicrobial resistance (AMR) testing of <em>Salmonella</em> and <em>Campylobacter</em>. 2. 63 questions incorporating capability, capacity, and interoperability
DOI: 10.5281/zenodo.4419724
title: Waveform Data -NbVar_Syn

description: Synthetic waveform with EMI constant in frequency, varying in magnitude.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4419715
title: Waveform Data -NbConst_Syn

description: Synthetic waveform with EMI constant in magnitude and frequency.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.17632/6zts835pjp.1
title: Data for: Vitamin E can promote spermatogenesis by regulating the expression of proteins associated with the plasma membranes and protamine biosynthesis

description: The database contains proteomics and PRM data.
DOI: 10.17632/pvys7wpg64.1
title: Data for: An Analysis of Political Contributions from Neurosurgeons in the United States

description: Data on political contributions by neurosurgeons from 2003 to 2019.