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2,611 results for “students”

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zenodo40/100

The impact of pharmaceutical form and simulated side effects in an open-label-placebo RCT for improving psychological distress in highly stressed students (Open Data and Open Materials)

<p>&nbsp; Open-label placebo (OLP) may be utilized to reduce psychological distress. Yet, potential contextual effects have not been explored. We investigated the impact of pharmaceutical form and the simulation of side effects in a parallel group RCT (DRKS00030987). A sample of 177 highly stressed university students at risk of depression were randomly assigned by computer generated tables to a one-week intervention with active or passive OLP nasal spray or passive OLP capsule or a no-treatment control group. After the intervention, groups differed significantly in depressive symptoms but not regarding other outcomes of psychological distress (stress, anxiety, sleep quality, somatization), well-being or treatment expectation. OLP groups benefitted significantly more compared to the no-treatment control group (<em>d</em>=.40), OLP nasal spray groups significantly more than the OLP capsule group (<em>d</em>=.40) and the active OLP group significantly more than the passive OLP groups (<em>d</em>=.42). Interestingly, before intervention, most participants, regardless of group assignment, believed that the OLP capsule would be most beneficial. The effectiveness of OLP treatments seems to be highly influenced by the symptom focus conveyed by the OLP rationale. Moreover, pharmaceutical form and simulation of side effects may modulate efficacy, while explicit treatment expectation seems to play a minor role.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Public dataset about students' leadership competence

<p>Public dataset&nbsp;about students&#39; leadership competence.&nbsp;The evidence consists of the activities and responsibilities of shared leadership.&nbsp;40 work teams and 237 students participated in this research work.&nbsp;The subject in which the experience was carried out was &ldquo;Fundamentals of Programming&rdquo; in the first year and first semester of the Biotechnology degree at the&nbsp;Technical University of Madrid. The data was collected during the 2019-2020 academic year (pre-Covid-19 Pandemic); 15 teams and 90 students participated face-to-face&nbsp;(37.11% male and 62.89% female). In the 2020-2021 academic year (Covid-19 Pandemic), 12 teams and 70 students participated online (34.78% male and 65.22% female). During the 2021-2022 academic year (post-Covid-19 Pandemic), 13 teams and 77 students participated in person (41.03% male and 58.97% female).&nbsp;All the research was carried out in compliance with the standards defined by the Ethical Committee of the&nbsp;Technical University of Madrid.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions

<p>Table 1 - Methodology&nbsp;</p> <p>Table 2 -&nbsp;Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 -&nbsp;Factor Analysis Results</p> <p>Table 5 -&nbsp;Validation of the assumptions of MANOVA</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform

<p>Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform<br> =======================================================</p> <p>&bull; If you publish material based on this dataset, please cite the following :</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&bull; The Zenodo repository : Laila El-Hamamsy, Barbara Bruno,&nbsp;Jessica Dehler Zufferey, and Francesco Mondada (2023). Dataset for the evaluation of student-level outcomes of a primary school Computer Science curricular reform&nbsp;[Data set]. Zenodo. https://doi.org/10.5281/zenodo.7489244</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&bull; The associated peer reviewed article that will appear in the International Journal of STEM education : El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820</p> <p>&bull; License: This work is licensed under a Creative Commons Attribution 4.0 International license (CC-BY-4.0)</p> <p>&bull; Creator: El-Hamamsy, L., Bruno, B., Dehler Zufferey, J., and Mondada, F.</p> <p>&bull; Date: May 2nd 2023</p> <p>&bull; Subject: Computer Science; Curricular Reform; Elementary Education; Learning Achievement; Computational Thinking; Perception Survey; Equity; Gender Gaps</p> <p>&bull; Dataset format: CSV</p> <p>&bull; Dataset collection: January 2021 to May 2022</p> <p>&bull; Dataset size : &lt; 100 kB</p> <p>&bull; Dataset content : three excel files. We provide the detailed description of each of the files below. The original questions are available in the associated publication [1]. Please note that these datasets contain missing values due to students either not being present for all data collections or not having the associated teacher-related data.</p> <p>&bull; Abbreviations :<br> &nbsp; - CS : Computer Science<br> &nbsp; - CT : Computational Thinking<br> &nbsp; - PD : Professional Development</p> <p>&bull; Funding : This work was funded by the the NCCR Robotics, a National Centre of Competence in Research, funded by the Swiss National Science Foundation (grant number 51NF40_185543)</p> <p>&nbsp;</p> <p># References</p> <p>[1] El-Hamamsy, L., Bruno, B., Audrin, C., Chevalier, M., Avry S., Dehler Zufferey, J., and Mondada, F. (2023). How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. arXiv, to appear in the International Journal of STEM Education. https://doi.org/10.48550/arXiv.2306.00820</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Dataset for the article: Evaluating the Predictive Performance of Quick Methods for Estimating Task Difficulty and Student Ability in Automated Computer Programming Assessment

<p>This open access repository houses the dataset utilized in the research article:</p><p>Pankiewicz, M. (2023). Evaluating the Predictive Performance of Quick Methods for Estimating Task Difficulty and Student Ability in Automated Computer Programming Assessment. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 1413-1418). Vienna, Austria: Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/primary/p/222666</p><p>The repository includes these files:</p><p>"submissions.csv": This data file captures the evaluation results of programming assignments. It is organized by the following columns:</p><p>&nbsp;</p><ul><li>"user_id": The unique identifier for each student who submitted the assignment.</li><li>"task_id": The unique identifier for each task that received submissions.</li><li>"submission_seconds": The number of seconds since the first user accessed the initial task's description within the system.</li><li>"correct": The outcome of the evaluation (1 denotes correct; 0 denotes incorrect).</li><li>"subject": The specific subject matter that the task addresses.</li></ul><p>&nbsp;</p><p>"subjects.csv": This data file comprises the roster of subjects for which tasks have been assigned within the system. It includes these columns:</p><p>&nbsp;</p><ul><li>"subject_id": The unique identifier for each subject.</li><li>"subject": The actual name of the subject.</li></ul><p>&nbsp;</p>

opencc-zeroJun 2023View details →
zenodo40/100

Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions

<p>Raw Data Table</p> <p>Table 1 - Methodology&nbsp;</p> <p>Table 2 -&nbsp;Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 -&nbsp;Factor Analysis Results</p> <p>Table 5 -&nbsp;Validation of the assumptions of MANOVA</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Sentence-aligned student translations of Crito (Ancient Greek, English, German, Persian)

<p>This dataset is a corpus of five student&#39;s translation of Plato&#39;s Crito aligned at sentence-level with the original Ancient Greek text, one German translation, and two English translations. The Ancient Greek text is the Burnet edition, made available by Perseus Digital Library. For more information, see:&nbsp;<br> https://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.01.0169%3Atext%3DCrito%3Asection%3D43a<br> &nbsp;</p> <p>The details of the eight translations (five Persian, two English, and one German translations) are as follows:</p> <ul> <li>German Translation:&nbsp;The German translation of Schleiermmacher available on Project Gutenberg has been aligned at the sentence level.<br> For more information, see: Plato, F. Schleiermacher, Platons Werke, In der Realschulbuchhandlung, 1809<br> Link to the text on Project Gutenberg:<br> https://www.projekt-gutenberg.org/platon/platowr1/kriton.html<br> &nbsp;</li> <li>English Translations: Two different English translations of &quot;Crito&quot;, one by Benjamin Jowett and the other by Harold North Fowler are included in the dataset.<br> For more information on Jowett&#39;s translation, see:<br> Plato, H. N. Fowler, W. Lamb, Plato in Twelve Volumes, Vol. 1 translated by Harold North<br> Fowler; Introduction by W.R.M. Lamb, volume 1, Harvard University Press and Wiliam<br> Heinemann Ltd., Cambridge, MA and London, 1966.<br> Fowler&#39;s translation on Perseus Digital Library:<br> https://www.perseus.tufts.edu/hopper/text?doc=plat.+crito+43a<br> For more information on Jowett&#39;s translation, see:<br> Plato, B. Jowett, Crito, The Internet Classics Archive, Massachusetts Institute of Technology,<br> http://classics.mit.edu/Plato/crito.html.<br> &nbsp;</li> <li>Persian Translations: The dataset consists of five Persian translations by students who have already completed a 30-hour Homeric Greek course. Each translator has translated the text into Persian using treebanks, commentaries, lexicon entries, and English and German translations. The translators themselves aligned the Persian translations to the Greek text at word-level using Ugarit. The alignments are available in their Ugarit profile:<br> Shouresh Assimi: https://ugarit.ialigner.com/userProfile.php?userid=50956<br> Aylar Mahmoudzadeh Sarabi: https://ugarit.ialigner.com/userProfile.php?userid=63464&amp;tgid=9576<br> Nima Mohammadi: https://ugarit.ialigner.com/userProfile.php?userid=52434&amp;tgid=9362<br> Kimia Nikpour: https://ugarit.ialigner.com/userProfile.php?userid=52378<br> Farshid Rahimi: https://ugarit.ialigner.com/userProfile.php?userid=50932&amp;tgid=9727</li> </ul> <p>The group&#39;s initial goal was to produce one finalized translation of Crito to Persian, but due to the intriguing variations in the translations and the text&#39;s intricacy, it was decided to provide three finalized translations rather than one. The finalized translations will be available in Beyond Translation as part of the Perseus Digital Library under a Creative Commons license. For more information on our final versions of Crito, see:&nbsp;http://beyond-translation.perseus.org</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Supplementary Material for "How Students Plagiarize Modeling Assignments"

<p>Supplementary Material for the Paper &quot;How Students Plagiarize Modeling Assignments&quot; at the Educators Symposium at MODELS&#39;23.</p>

openmit-licenseAug 2023View details →
zenodo40/100

Data technostress in university students in Lima

<p>The information was collected using the TS4US scale, previously validated in Spanish in Spain and Chile, and which in this case has been tested with confirmatory factor analysis (CFA) for a sample of 328 university students from four areas of Lima.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions

<p>Blank Instrument</p> <p>Coding File</p> <p>Data File</p> <p>Raw Data</p> <p>Table 1 - Methodology&nbsp;</p> <p>Table 2 -&nbsp;Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 -&nbsp;Factor Analysis Results</p> <p>Table 5 -&nbsp;Validation of the assumptions of MANOVA</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Corporate Social Responsibility & Students' Perceptions: Evidence from Indian Higher Education Institutions

<p>Raw Data</p> <p>Table 1 - Methodology&nbsp;</p> <p>Table 2 -&nbsp;Affirmations on CSR under study</p> <p>Table 3 - Characterization of the Sample</p> <p>Table 4 -&nbsp;Factor Analysis Results</p> <p>Table 5 -&nbsp;Validation of the assumptions of MANOVA</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Dataset of Israeli and Palestinian students' attitudes before and after playing games PeaceMaker and Fact Finders

<p>203 Israeli and Palestinian students participated in a quasi-experimental pre-test post-test design and played the games PeaceMaker and Fact Finders in a different order (Peace Maker first, Fact Finders second or Fact Finders first, Peace Maker second) or played one of the two games (either PeaceMaker or Fact Finders). Their viewpoints and attitudes towards both conflicts (Israel-Palestine conflict and Cyprus conflict)&nbsp;were measured before and after playing each game.</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

Dataset for the paper "Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school" published in BMJ Open (2023)

<p><strong>Full reference of&nbsp;the paper:&nbsp;</strong></p> <p>Barbier JM, Carrard V, Schwarz J, et al. Exposure of medical students to sexism and sexual harassment and their association with mental health: a cross-sectional study at a Swiss medical school. BMJ Open 2023;13:e069001. doi:10.1136/bmjopen-2022-069001</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov40/100

Longitudinal COVID-19 Antibody Testing in Indiana University Undergraduate Students

ClinicalTrials.gov study NCT04620798. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
dryad40/100

Data from: Variations in regional white matter volumetry and microstructure during the post-adolescence period: a cross-sectional study of a cohort of 1,713 university students

Open the record for dataset details and reuse information.

publicJul 2021View details →
dryad40/100

Data from: More than a token photo: humanising scientists enhances student engagement

Open the record for dataset details and reuse information.

publicNov 2024View details →
dryad40/100

Data from: The MRi-Share database: Brain imaging in a cross-sectional cohort of 1,870 university students

Open the record for dataset details and reuse information.

publicSep 2022View details →
dryad40/100

Can technical education in high school smooth postsecondary transitions for students with disabilities?

Open the record for dataset details and reuse information.

publicMay 2024View details →
edi40/100

Forest Community Dynamics in Hemlock Overlook, Virginia: A Ten-Year Student-Collected Forest Plot Dataset

During a ten-year observation period three 0.1 ha plots in Hemlock Overlook Regional Park, Fairfax County, VA, were regularly sampled. Student observers recorded and identified to species wherever possible, all trees with a DBH of 3cm or greater in these plots. In total there were 94 sampling events across the ten years with a total of 4,536 trees counted and measured. Of the recorded trees, the most frequently sampled trees were beech (Fagus grandifolia), with 1,681 records and the least frequently recorded trees were maple (Acer spp.) with 410 records. This dataset adds to the literature a longitudinal consistent sampling dataset that can be used for forestry and forest ecology research.

openCC0Aug 2020View details →
zenodo36/100

Educational and workforce development through creation of programs in transportation to generate future careers for our students in Navajo Nation region

<p>Navajo Technical University (NTU) in New Mexico, has made a partnership with the Tran-SET regional center at Louisiana State University, LSU. We have provided learning and training the Native American students in transportation-related Industries to some of STEM students at NTU through these partnerships opportunities.<br> The program was designed and supported by Native American students from high school to STEM undergraduate students. The program was implemented accordingly with four main components: (1). Selected eligible and interested<br> Native American student to paid summer internships to the field and facilities of transportations industries and participate in research summer at LSU. (2). Directed the students to the transportation-related workshops and conducting at research NTU and they provided with and prepared them with the necessary background in transportation fields. (3). Several students were selected to research during the academic semester related to the field particularly, analyzing the causes of workforce shortages in the transportation industry. (4). We are planning to create and offer transportation certificate programs at NTU to train and expose the Native American students in transportation fields in the future if we get additional funding. We also proposed projects and conducted significant outreach activities in some of the local high schools and colleges. If successful we are planning to develop online courses, which would be provided for free to the Native American universities across the nation in order to make this program more sustainable.<br> Also, we are expected and planning to support 15-20 undergraduate and high school students per year through this partnership program. Other activities undertaken by NTU were the collaboration with different research, education, and outreach projects related to transportations undertaken by the NTU faculty partners. Some of the NTU STEM and pre-engineering students participated in the summer research internship programs, educational, laboratory, site visits as well as exposing students to the most technically-advanced Material research laboratories in Region 6 as well as state-of-the-art facilities at LSU. Some NTU students worked with local industries and agencies to enhance workforce development in the region.</p>

opencc-by-4.0Jun 2020View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record