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4,182 results for “universities”
A universal qudit quantum processor with trapped ions
<p>Source data underlying the graphical representations used in the figures.</p>
SCoRe - Student Crowd Research. A german dataset of university students' written reflections on their participation in collaborative research-based learning focused on sustainability topics and using videos as a research tool.
<p>Schriftliche Reflexionen von 57 Studierenden als Prüfungsleistung im Rahmen des forschenden Lernens mit Video zu Nachhaltigkeitsthemen. Die Reflexionen wurden durch vorgegebene Fragen angeleitet. Die hier vorliegenden Texte sind, von den Studierenden selbst niedergeschriebene, Transkripte von Sprechtexten eines Self-Video-Casts. Es handelt sich dabei um eine benotete Prüfungsleistung einer universitätsübergreifenden Wahlpflicht-Lehrveranstaltung mit 1-3 Credit-Points.</p> <p>A dataset containing written reflections of 57 university students from several German universities and fields of study on their participation in collaborative research-based learning focused on sustainability topics and using videos as a research tool. These reflections were guided by given questions. The texts presented here are transcripts of spoken texts of self-video-casts, written down by the students themselves. The texts were graded as part of an inter-university elective course worth 1-3 credit points.</p>
Scoping survey on the state of play of Open Science at SEA-EU universities
<p>Survey data that sought to collect information about the state of play on Open Research Data Management practices amongst the SEA-EU Alliance.</p>
Research on Universities Profile upon Entrepreneurship and Innovation Orientation: Case of Developing Countries
<p>This Data set is a part of a research project of "Research on Universities Profile upon Entrepreneurship and Innovation Orientation: Case of Developing Countries" </p>
Data from: Preston's universal formula for avian egg shape
<p>The main data are 50 photographs of eggs, one from each of 50 species. </p> <p>25 of these species have pyriform eggs, based on the traditional usage of this descriptive term.</p> <p>The photographs were taken to allow an investigation of egg shape, so they are lit from behind to provide a clear silhouete and were arranged to have the plane containing their longest axis parallel to the 'film' plane.</p> <p>A csv file contains basic information about each egg.</p> <p>A second csv file contains the results of processing these photographs (using the script GetErrors.R) to assess the error associated with various methods of summarising egg shape, including Preston's universal formula.</p> <p>A third csv file conatins some summary information on many more eggs obtained from a different study.</p>
Bibliographic Metadata from Zurich University of Teacher Education (PHZH) 2021
<p>The data for this set were extracted from unstructured bibliographic metadata in the online personal portraits of PHZH staff and from the PHZH repository. The two sources were merged, cleaned, and supplemented with relevant parameters regarding a comprehensive Open Access monitoring. The set provides the PHZH data basis for the national Open Access monitoring (<a href="https://oam.oamonitor.ch/">https://oam.oamonitor.ch/</a>) by swissuniversitis/CSAL.</p>
Data from: How does sustainable water consumption in the shower relate to different dimensions of perceived well-being? Empirical evidence from university students
<p>Water scarcity is already a worrying issue and it is predicted to get worse in the future. This creates an imperative to use water efficiently and sustainably. In the domestic sphere, one of the main uses of water is showering, not only for hygiene reasons but also as a wellness activity. In order to gain insight into the implications of sustainable shower use, in this paper we analyse the relationship between subjective well-being and water consumption in the shower. We aim to answer the following questions: 1) How does shower water consumption relate to subjective well-being, 2) Does this relationship differ depending on showering habits (time spent in the shower, and number of showers per week), and 3) Does this relationship differ depending on the season (winter and summer). The dataset contains information on 937 students from different disciplines at the University of Granada, Spain. The different interpretations of subjective well-being considered are life satisfaction, affect, and vitality. Results suggest that there is a negative relationship between water consumption and subjective well-being, in line with the literature that identifies a well-being dividend from green behaviour (being pro-environmental helps the environment and increases happiness). All subjective well-being dimensions are negatively related to time spent in the shower, regardless of the season. In contrast, the frequency of showering is not significantly related to well-being. Therefore, it appears that higher water consumption does not translate into higher perceived well-being, indicating that there is no conflict between efficient shower water use and individual well-being.</p>
Proximate Chemical Analyses of Black Soldier Fly Frass (BSFF), Common House Cricket Frass (CHCF), and NPK 15:15:15 Granulated Slow-Release Fertilizers, Universiti Sains Malaysia Plant House Top Soil, and all Post-harvest Soils of applied Fertilizers.
<p>Proximate Chemical Analyses of Black Soldier Fly Frass (BSFF), Common House Cricket Frass (CHCF), and NPK 15:15:15 Granulated Slow-Release Fertilizers, Universiti Sains Malaysia Plant House Top Soil, and all Post-harvest Soils of applied Fertilizers. </p>
International research collaboration - New funding opportunities for universities of applied sciences
<p><b>Abstract</b></p><p class="dhik-abstract-content">A coordinated measure within DFG's portfolio is explained, meant to support Universities of Applied Sciences UAS to find international cooperation partners for potential DFG research projects. In case of interest on all DFG's UAS-measures, please supply your contact data to Jennifer.Gronau@dfg.de</p><p></p><p><b>Weitere Beiträge aus dem DHIK-Forum 2022 auf Zenodo:</b></p><p class="dhik-session-list"></p><ul><li>Session #1: Viktor Sigrist: Internationalisierung - Partnerschaften für den Ausbau von Forschung und Entwicklung (DOI:<a href="https://zenodo.org/record/7123701">10.5281/zenodo.7123701</a>)</li><li>Session #2: Dieter Leonhard: DHIK- Strategien der internationalen Zusammenarbeit in Forschung und Lehre (DOI:<a href="https://zenodo.org/record/7123456">10.5281/zenodo.7123456</a>)</li><li>Session #3: Stephen Wittkopf: Wissens- und Innovationstransfer - Interdisziplinäre Zusammenarbeit mit Unternehmen und Institutionen (DOI:<a href="https://zenodo.org/record/7025707">10.5281/zenodo.7025707</a>)</li><li>Session #4: Xiao Feng: CDHAW - Chinesisch-Deutsche Hochschule für Angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123458">10.5281/zenodo.7123458</a>)</li><li>Session #5: Antonio Pita und Isabel Kreiner: Academy-Industry-Collaboration - Outreach Strategy (DOI:<a href="https://zenodo.org/record/7123460">10.5281/zenodo.7123460</a>)</li><li>Session #6: Martin Sternberg: Promotionsrecht – aktueller Stand an deutschen Hochschulen für angewandte Wissenschaften (DOI:<a href="https://zenodo.org/record/7123757">10.5281/zenodo.7123757</a>)</li><li>Session #7: Adrian Derungs: Duo mit Innovationskraft - Zusammenspiel von Forschung und Wirtschaft in der Zentralschweiz (DOI:<a href="https://zenodo.org/record/7123767">10.5281/zenodo.7123767</a>)</li><li>Session #8: Theres Paulsen: Transdisziplinäre Forschung - komplexe gesellschaftliche Herausforderungen erfordern diverse Ansätze (DOI:<a href="https://zenodo.org/record/7123769">10.5281/zenodo.7123769</a>)</li><li><b>Session #9: Jörg Schneider: International research collaboration - New funding opportunities for universities of applied sciences (<a href="#collapseTwo">Video</a>)</b></li><li>Session #10: Cornelia Spycher und Matthew Whellens: Horizon Europe - overview of funding opportunities for your research and innovation (DOI:<a href="https://zenodo.org/record/7123773">10.5281/zenodo.7123773</a>)</li><li>Session #11: Janique Siffert: Eureka Eurostars - erfolgreiche Förderung für internationale Innovationsprojekte (DOI:<a href="https://zenodo.org/record/7123777">10.5281/zenodo.7123777</a>)</li><li>Session #12: Ludger Fischer: Energy Lab - ein Netzwerk für innovative Lösungen im Energiebereich (DOI:<a href="https://zenodo.org/record/7123779">10.5281/zenodo.7123779</a>)</li><li>Session #13: Jörg Worlitschek: Thermal energy storage - heating the north, cooling the south (DOI:<a href="https://zenodo.org/record/7123781">10.5281/zenodo.7123781</a>)</li><li>Session #14: Jonas Mühlethaler: Neues DC Microgrid-Konzept – netzunabhängige Elektrifizierung in Entwicklungsländern (DOI:<a href="https://zenodo.org/record/7123783">10.5281/zenodo.7123783</a>)</li><li>Session #15: Tommy Claussen: Dekarbonisierung des Gebäudesektors - digitale Transformation in der Gebäudetechnik und im Gebäudemanagement (DOI:<a href="https://zenodo.org/record/7123785">10.5281/zenodo.7123785</a>)</li><li>Session #16: Christoph Imboden: Flexibility solutions - making the power grid fit for the future (DOI:<a href="https://zenodo.org/record/7123787">10.5281/zenodo.7123787</a>)</li><li>Session #17: Uwe Schulz: Spielerisches Sarnetz - Simulationen für die fossile Unabhängigkeit einer Ortschaft (DOI:<a href="https://zenodo.org/record/7123790">10.5281/zenodo.7123790</a>)</li><li>Session #18: Jana Koehler: Künstliche Intelligenz – Erfolg durch Erwünschtheit, Machbarkeit und Wirtschaftlichkeit (DOI:<a href="https://zenodo.org/record/7123792">10.5281/zenodo.7123792</a>)</li><li>Session #19: Rolf Kamps: KI in der Prävention - Befragungsmethoden und Schulungen trainieren, Krankheitserreger erkennen (DOI:<a href="https://zenodo.org/record/7123794">10.5281/zenodo.7123794</a>)</li><li>Session #20: Gwendolyne Pascua: Artificial Intelligence in Space - CIMON assisting astronauts on the International Space Station (DOI:<a href="https://zenodo.org/record/7123796">10.5281/zenodo.7123796</a>)</li><li>Session #21: Tobias Matter et.al.: Augmented Reality Soundscapes - mit maschinellem Lernen Klangkulissen von zukünftigen Bauvorhaben generieren (DOI:<a href="https://zenodo.org/record/7123798">10.5281/zenodo.7123798</a>)</li><li>Session #22: Angela Nicoara: Internet of Things - transforming businesses, people's lives and driving growth in the coming years (DOI:<a href="https://zenodo.org/record/7123800">10.5281/zenodo.7123800</a>)</li><li>Session #23: Adrian Koller: Feldrobotik - unermüdliche und zunehmend intelligentere Hilfe in der Landwirtschaft (DOI:<a href="https://zenodo.org/record/7123802">10.5281/zenodo.7123802</a>)</li><li>Session #24: Widar von Arx et.al.: Realisierung der Verkehrswende - Einfluss der Preispolitik in der Mobilität (DOI:<a href="https://zenodo.org/record/7124000">10.5281/zenodo.7124000</a>)</li><li>Session #25: Andreas Liebrich: Tourismusdateninfrastruktur - Was die Schweiz von Europa lernen kann (DOI:<a href="https://zenodo.org/record/7123806">10.5281/zenodo.7123806</a>)</li><li>Session #26: Frank Pöhlau und Stefan May: Find life on Mars - Schülerprojekte zur mobilien Robotik (DOI:<a href="https://zenodo.org/record/7123808">10.5281/zenodo.7123808</a>)</li><li>Session #27: Jiayun Shen: Open Innovation - Innovationsmanagement bei der Schweizerischen Post (DOI:<a href="https://zenodo.org/record/7123810">10.5281/zenodo.7123810</a>)</li><li>Session #28: Tobias Specker: Interkulturelles Management – innovative Konzepte zum Ausbau der China-Kompetenzen an Hochschulen (DOI:<a href="https://zenodo.org/record/7123812">10.5281/zenodo.7123812</a>)</li><li>Session #29: Elena Algorri: Swimming robots - exploring the unterwater from the surface (DOI:<a href="https://zenodo.org/record/7123814">10.5281/zenodo.7123814</a>)</li><li>Session #30: Sergio Camacho: Robotics and Digital Systems Engineering at the Tec de Monterrey (DOI:<a href="https://zenodo.org/record/7123816">10.5281/zenodo.7123816</a>)</li><li>Session #31: Thomas Dorn: Industrie 4.0 - Forschungskooperationen mit der CDHAW und der Tongji Universität Shanghai (DOI:<a href="https://zenodo.org/record/7123818">10.5281/zenodo.7123818</a>)</li><li>Session #32: Walter Reichert et.al.: Kollaboration und Unterstützung - Mobile Robotik und Exoskelette in der flexiblen Produktion (DOI:<a href="https://zenodo.org/record/7123820">10.5281/zenodo.7123820</a>)</li><li>Session #33: Louis Palmer: Solar Butterfly - climate pioneer world tour supported by HSLU (DOI:<a href="https://zenodo.org/record/7123822">10.5281/zenodo.7123822</a>)</li></ul><p></p>
Figure 1 Study area with 10 in Know your campus: salient research potential of prostigmatic soil mite fauna (Acariformes: Prostigmata, Endeostigmata) within university campus area
Figure 1 Study area with 10 sampling localities (nos. 1-10) and its border marked by black line.
CS2900 - Multi-dimensional Data Processing Slidecasts Royal Holloway, University of London
<p>Slidecasts of CS2900 (Multi-dimensional Data Processing - but essentially Linear Algebra for Computer Scientists) 2018/2019. For undergraduate CS students.</p>
Limassol Municipal University Library
Limassol Municipal University Library was built in 1931 (started in 1917), and it was known as Megaro Pilavaki (Μέγαρο Πηλαβάκη). It has been reconstructed in 3D using photogrammetry (more than 1150 photos) in RealityCapture, by the Graphics & Extended Reality Lab, Department of Computer Science, University of Cyprus. Source: Objaverse 1.0 / Sketchfab
University Library - T-Shirt - White
To celebrate IUPUI's 50th anniversary, we're 3D scanning some of the apparel the University has released throughout the years. This shirt was 3D scanned using a Creaform Go Scan 50. Source: Objaverse 1.0 / Sketchfab
Elevated perceived stress in university students due to COVID-19 pandemic: Potential contributing factors in a propensity-score matched sample
<p><strong>Open Data and Open Materials of: </strong></p> <p><strong>Elevated perceived stress in university students due to COVID-19 pandemic: Potential contributing factors in a propensity-score matched sample. </strong></p> <p><strong><em>Scandinavian Journal Of Psychology</em>.</strong></p> <p><strong>Abstract</strong></p> <p><strong>Objective</strong>: Onset of the Coronavirus Disease 2019 (COVID)-pandemic has increased students’ perceived burdens. The current study aimed to examine COVID-related changes and to identify potential factors that contribute to students’ stress.</p> <p><strong>Method</strong>: Adopting a cross-sectional cohort-study design, we examined perceived stress, depressive and anxiety symptoms with a specific focus on the role of study-related variables such as perceived study-related demands, study-related resources, academic procrastination, and stress enhancing beliefs. Two cohorts (<em>N</em><sub>pre-COVID</sub>=2175;<em>N</em><sub>COVID</sub>=959) were recruited at the same university and matched with regard to their propensity score (age, gender, semester).</p> <p><strong>Results</strong>: Compared to the pre-COVID cohort, university students in the COVID-cohort reported more perceived stress, more depressive and anxiety symptoms, more academic procrastination due to fear of failure, more stress-enhancing beliefs, more distress due to the housing situation, and more perceived study-related challenges (Cohen’s <em>d</em>=.15–.45). A stepwise regression analysis identified depressive symptoms, procrastination due to fear of failure, general self-efficacy, increased study demands, perceived difficulties with to self-organised learning, distress due to housing, and stress enhancing beliefs as predictors of perceived stress in the COVID-cohort.</p> <p><strong>Discussion</strong>: Findings suggest that the switch to online-only education increased the study-related burden for students, primarily due to exams being replaced by a greater amount of regular coursework and imposing demands on self-organised learning. Possibly, stress enhancing beliefs and procrastination due to fear of failure might have been elevated due to less opportunity for social referencing and lack of felt social support by peer students.</p> <p><strong>Conclusion</strong>: Experienced increased burden in students during the COVID pandemic was mostly accounted for by the lack of perceived individual resources rather than by the increase in objective study-related demands.</p>
Collaborating with Kharkiv National University of Radio Electronics
<div>Publications co-authored by the Kharkiv National University of Radio Electronics and other Kharkiv Universities</div> <div>Dataset from SciVal </div> <div>Year range 2013 to 2022</div>
The Relationship between Self-Perception of Smile Aesthetics and Personality Traits of University Students: A Cross-Sectional Study
<p>Los documentos contienen la base de datos que se obtuvo del estudio "The Relationship between Self-Perception of Smile Aesthetics and Personality Traits of University Students: A Cross-Sectional Study", siendo datos reales de estudiantes de una universidad nacional de Perú. Luego se encuentra el documento con los instrumentos, en formato como se presentó para la ejecución. </p> <p> </p>
University Hospital Augsburg nursing staff capacity
<p>The dataset contains information on the hourly nursing staff capacity, i.e. the total number of deployed nursing staff, and the number of planned and unplanned absences of the University Hospital in Augsburg. It includes data from four hospital wards of different medical areas and spans a period of one and a half years from January 1st, 2022 to June 30th, 2023. </p>
Marine seismic multichannel data collected in the Pomeranian Bay and around Rügen (southern Baltic Sea) by University of Hamburg
<p>The dataset includes multi-channel seismic data collected during various marine student training cruises. The cruises were organized and led by the Institute of Geophysics at the University of Hamburg.</p> <p>The seismic sources were GI-Guns or Mini-GI-Guns from the company SODERA. The data was recorded with various analog streamer systems. All data are poststack time-migrated with suppressed seafloor multiples.</p> <p>All data are in SEG-Y format with CDP-coordinates at standard byte positions (UTM33)</p> <table> <tbody> <tr> <td> <p>Vessel</p> </td> <td> <p>Cruise-ID</p> </td> <td> <p>Year</p> </td> </tr> <tr> <td> <p>RV ALKOR</p> </td> <td> <p>AL225</p> </td> <td> <p>2003</p> </td> </tr> <tr> <td> <p>RV HEINCKE</p> </td> <td> <p>HE217</p> </td> <td> <p>2004</p> </td> </tr> <tr> <td> <p>RV ALKOR</p> </td> <td> <p>AL263</p> </td> <td> <p>2005</p> </td> </tr> <tr> <td> <p>RV ALKOR</p> </td> <td> <p>AL562</p> </td> <td> <p>2021</p> </td> </tr> <tr> <td> <p>RV ALKOR</p> </td> <td> <p>AL582</p> </td> <td> <p>2022</p> </td> </tr> <tr> <td> <p>RV ALKOR</p> </td> <td> <p>AL605</p> </td> <td> <p>2023</p> </td> </tr> </tbody> </table>
T-Factor. WP2 Dataset: Advanced Case Study Interviews for university of Łódź, Poland
<p>This dataset presents three anonymized interviews performed on-line by a researcher from the Department of Social Pedagogy of the University of Łódź, Poland as part of the activities in Work Package 2 of the T-Factor project. The content of that package is relevant to the issue of advance cases of meanwhile uses in Lodz. The interviewees represent different institutions or organizations involved in an urban regeneration in Łódź and their stories are focused on their understandings on meanwhile uses and the ways how they contribute to the overall effort to manage this time in Lodz.</p>
Deep learning insights into non-universality in the halo mass function
<p>Data used in paper <em>Deep learning insights into non-universality in the halo mass function</em> (DOI: <a href="https://doi.org/10.1093/mnras/stae1696">doi.org/10.1093/mnras/stae1696</a>).</p> <p><code>Model_outputs.zip</code> contains the saved latents, predictions, ground truths, and the relevant cosmological quantities used in the analysis (see <code>Model_outputs_readme.md</code>).</p> <p><code>Trained_model.zip</code> has the trained baseline IVE model. It contains the saved model weights and code needed to build and load the model weights, as well as the test dataset (see <code>Trained_model_readme.md</code>).</p>
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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.