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11,879 results for “participation”
Conference participation critera
<p>This list describes criteria that can be relevant for researcher's decisions whether to participate at a conference or not. It is an amalgamation between criteria mentioned during interviews with computer scientists and mobility-researchers, two papers that dealt with conference properties and talks with other experts.</p> <p>This list has been created for the ConfIDent project in order to inform the creation of an academic events metadata schema.</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>
Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany
<p>Successful conservation efforts have led to recent increases of large mammals such as European bison (Bison bonasus), moose (Alces alces) and grey wolf (Canis lupus) and their return to former habitats in central Europe. While embraced by some, the recovery of these species is a controversial topic and holds potential for human-wildlife conflicts. Involving the public has been suggested to be an effective method for monitoring wildlife and mitigating associated conflicts. To assess two interrelated prerequisites for engaging people in Citizen Science (CS) – knowledge of returning species and respondents' readiness to participate in CS activities for monitoring and managing these species – we conducted a survey (questionnaire) in two wildlife parks located in different states of Germany. Based on 472 complete questionaires, we developed generalized linear models to 1) understand how sociodemographic variables and exposure to the species affected visitors' knowledge of each species, and to 2) investigate if sociodemographic variables and knowledge influenced the likelihood of visitors to participate in CS activities. Almost all visitors were aware of the returning wolf population, while knowledge and awareness about bison and moose were significantly lower. Knowledge of the two herbivores differed geographically (higher knowledge of moose in the north-eastern state), possibly indicating a positive association between exposure to the species and knowledge. However, models generally performed poorly in predicting knowledge about wildlife, suggesting that such specific knowledge is insufficiently explained by sociodemographic variables. Our model to explain stated willingness in CS indicated that younger participants and those with higher knowledge scores in the survey were more willing to engage in CS activities. Overall, our analyses highlight how exposure to large mammals, knowledge about wildlife and human demographics are interrelated - insights that are helpful for effectively recruiting citizen scientists for wildlife conservation.</p>
Overview of COVID-19 individual participant data meta-analyses (IPD-MAs)
<p>Individual participant data meta-analyses (IPD-MAs), which include harmonising and analysing participant-level data from related studies, provide several advantages over aggregate data meta-analyses, which pool study-level findings. IPD-MAs inform the design and conduct of randomised clinical trials and have informed the research and public health responses to COVID-19. To identify areas of overlap, we conducted a rapid systematic review of completed or ongoing COVID-19 IPD-MAs. We identified 31 COVID-19 related IPD-MAs, including 5 living IPD-MAs, and found several areas of overlap in study designs, populations, exposures, and outcomes of interest. Details of the 31 identified COVID-19 IPD-MAs are presented in this dataset. </p>
Exploring the relation between fundamental frequency and spectral envelope in the perception of musical instrument sounds – sound files and participant responses
<p>This database contains synthesized instrument sounds (sounds.zip), participant responses (data.zip), and a key for the stimulus order (stimKey.zip) as complementary data to [1].</p> <p>Sounds include individual stimuli for two experiments. Experiment 1 contains stimuli used for sound pleasantness and sound brightness ratings. Every rating scale includes three acoustic conditions: congruent, incongruent, and fixed, corresponding to the relation of fundamental frequency (F0) and spectral envelope (SE). See [1] for further details on this matter. Experiment 2 contains stimuli for four synthesized instrument sounds: violin, alto voice, clarinet, and tuba. Sounds were synthesized using congruent spectral envelopes (all), and register fixed spectral envelopes (low, mid, high).</p> <p>All sounds are mono signals with a sampling frequency of 44100 Hz in WAV format.</p> <p>Data includes four sets of participant response data: sound pleasantness ratings (Exp. 1), sound brightness ratings (Exp. 1), sound pleasantness ratings (Exp. 2), and sound plausibility ratings (Exp. 2).</p> <p>StimKey provides values for the first and second principal components of the synthesis space for the pleasantness (1 to 81) and brightness (1 to 16) stimulus numbers for Exp. 1.</p> <p> </p> <p>Names convention for Exp. 2 sounds:</p> <p>InstrumentName_congruencyCondition_F0..wav</p> <p> </p> <p>References:</p> <p>[1] Jacobsen, S. and Siedenburg, K. (2024). Exploring the relation between fundamental frequency and spectral envelope in the perception of musical instrument sounds. Acta Acustica, 8, 48. <a href="https://doi.org/10.1051/aacus/2024038">https://doi.org/10.1051/aacus/2024038</a>.</p>
Supplementary Material of the research study "Towards Gender Parity: Analyzing the Women Participation in STEM"
<p><span>The files present data considered in the analysis of students graduated in Brazil, from 2010 to 2019, with the purpose of contrasting STEM and Not STEM courses. </span></p> <p><span>The data was derived from Higher Education Census [Inep,2021].</span></p> <p><span>For the classification of courses as STEM courses, it was used the definition given by the SAGA methodology [UNESCO, 2016, 2017b], which refers to the International Standard Classification of Education (ISCED). </span></p> <p><span>ISCED was then related to the International Standard Classification of Education for Graduate and Specialized Courses in Brazil (Cine Brazil) [Inep, 2021], which classifies Brazilian undergraduate courses and is referenced by the official classification of courses in the Higher Education Census [Inep,2021].</span></p> <p> </p> <p><strong><span>References</span></strong></p> <p><span>Inep (2021). </span><em><span>Censo da Educação Superior</span></em><span>. </span><span>Bras</span><span>í</span><span>lia, DF. Available at https://www.gov.br/inep/pt-br/areasde-atuacao/pesquisas-estatisticas-e-indicadores/censo-daeducacao-superior/censo-da-educacao-superior.</span></p> <p><span> </span><span>Inep (2021). </span><em><span>Cine Brasil</span></em><span>. Bras</span><span>í</span><span>lia, DF. </span><span>Available at https://www.gov.br/inep/pt-br/areas-eatuacao/</span></p> <p><span>pesquisas-estatisticas-e-indicadores/cinebrasil/cine-brasil.</span></p> <p><span> </span><span>UNESCO (2016). Measuring Gender Equality in Science and Engineering: the SAGA Science, Technology and Innovation Gender Objective List (STI GOL). Technical Report SAGA Working Paper 1, UNESCO, Paris.</span></p> <p><span> </span><span>UNESCO (2017b). Measuring Gender Equality in Science and Engineering: the SAGA Toolkit. Technical Report SAGA Working Paper 2, UNESCO, Paris.</span></p>
Socialist Systems, Global Cultural Spheres and Female Participation in Education: Supplementary Materials
<p>This repository includes the dataset and Appendix used in the chapter "Socialist systems, global cultural spheres and female participation in education" by Michael Windzio, Fabian Besche-Truthe and Helen Seitzer, for the collected work titled "The Generosity of Social Polcies in Socialist and Post-socialist States" edited by Andreas Heinrich, Monika Ewa Kaminska, Heiko Pleines and Tobias Ten Brink. </p> <p>This chapter is a product of the research conducted in the Collaborative Research Center 1342 “Global Dynamics of Social Policy” at the University of Bremen. The center is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—project number 374666841—SFB 1342.</p> <p> </p>
Fig. 3 in Habitat use and abundance of goliath grouper Epinephelus itajara in Brazil: a participative survey
Fig. 3. Boxplots of median depth of sighted Epinephelus itajara at natural and artificial reefs.
Biogenic secondary organic aerosol participates in plant interactions and herbivory defense
<p>Biogenic secondary organic aerosols (SOAs) can be formed from the oxidation of plant volatiles in the atmosphere. Herbivore-induced plant volatiles (HIPVs) can elicit plant defenses, but whether such ecological functions persist after they form SOAs was previously unknown. Here we show that Scots pine seedlings damaged by large pine weevils feeding on their roots release HIPVs that trigger defenses in neighboring conspecific plants. Interestingly, the biological activity persisted after HIPVs had been oxidized to form SOAs, which was indicated by receivers displaying enhanced photosynthesis, primed volatile defenses, and reduced weevil damage. The elemental composition and quantity of SOAs likely determines their biological functions. This work demonstrates that plant-derived SOAs can mediate interactions between plants, highlighting its ecological significance in ecosystems.</p>
Participant responses - Enhancing Workplace Well-being through Digital Solutions
Open the record for dataset details and reuse information.
CATCH-EyoU: Meanings and Practices of Youth Participation and Cases of Successful Participation: Cross-national Ethnography Cases
<p>This data set contains data related to the ethnographic qualitative study (participant observations and in-depth interviews) of citizens active in youth citizenship organizations. The selected participants are active in supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, anti-austerity protests, pro-European vote, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education). The ethnographic study was performed in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. </p> <p>The data set consists of: (1) eight national textual reports of detailed observations (ethnographic field notes) of youth civic and political organizations/individual youth. The reports are in English and are fully anonymized and redacted. (2) 48 carefully redacted and ethically permissioned English language transcripts of qualitative interviews (6 interviews from each partner country) and (3) 160 carefully redacted and ethically permissioned English language transcripts of participant-observation field notes (20 A4 pages per country).</p> <p>The names of organisations and personal data of participants or employees have been strictly redacted and anonymized in order to protect participants’ privacy and comply with ethical requirements. Instead generic descriptors such as ‘National Students Organisation’ or ‘Local Municipal Youth Volunteer Centre’ are used throughout.</p> <p>The data can be reused by researchers who want to compare our data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data. </p>
CATCH-EyoU: Meanings and Practices of Youth Participation and Cases of Successful Participation: Cross-national Documentary Evidence of Youth Civic and Political Participation Initiatives
<p>The data set integrates documentary evidence of national youth civic and political participation initiatives in Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia. The evidence are represented as pamphlets, brochures, leaflets, newsletters, social media and websites, you tube videos, meme and vine campaigns. The participation initiatives are selected with a focus on initiatives used by national youth citizenship organizations for generating, supporting, communicating and engaging young people’s active participation in diverse and varied causes (the environment, voting at 16, anti-fees and cuts campaigns, rights around civic spaces and youth centers, employment and jobs-related campaigns, issues around race and religion, volunteering, refugees, local housing and education).</p> <p> </p> <p>The data set consists of: (1) a spreadsheet integrating data from all partner countries, and containing qualitative descriptions of activities and cataloguing associated materials of youth civic and political organizations; (2) a textual report containing exemplar images of publicly available online newsletters, minutes, reports and campaign materials from across the consortium (where feasible), copyright cleared and creative commons screenshots of websites, invitation letters, records of personal conversations with members of youth civic teams, quotes from researcher-conversations on social media or f-2-f with members of teams with names redacted.</p> <p>Personal data and all non-public data has been anonymized in order to protect participants’ privacy.</p> <p>The data can be re-used by researchers who want to compare our cross- European data with similar data collected in different countries, to perform textual analysis (content analysis and/or data mining) on our data. Also other stakeholders may be interested in reanalyzing our data for comparative aims.</p>
ENGLISH Participation in a new group and the identification processes: The quest for a positive social identity
<p>Dataset for manuscript Participation in a new group and the identification processes: The quest for a positive social identity</p>
Simulated and experimental data distributed to the CASP13 participants in protein structure prediction assisted with sparse NMR data
<p>All simulated and experimental data distributed to the CASP participants in protein structure prediction assisted with sparse NMR data in CASP13.</p> <p>Also available at http://predictioncenter.org/casp13/results.cgi?view=targets&model=first&tr_type=others&sub_type=N&groups_id=</p> <p> </p>
Gaze cueing by multiple people - averaged eye tracking data by participant
<p>Data for article Gaze cueing by multiple people.</p> <p>Averaged eye tracking data by participant that was included.</p> <p>Task 1 - time to first fixation and total fixation duration for each Area of Interest </p> <p>Task 2 - time to first fixation for Area of Interest as determined by the task </p>
GWAS summary statistics for corneal resistance factor in 72,301 unrelated UK Biobank white-British participants
<p>The dataset contains summary statistics of the genome-wide association study (GWAS) for corneal resistance factor (CRF) of 72,301 unrelated UK-biobank white-British individuals, originally generated by Jiang X, et al (2020<a href="https://doi.org/10.1038/s42003-020-01497-w">)</a> (doi: <a href="https://doi.org/10.1038%2Fs42003-020-01497-w">10.1038/s42003-020-01497-w</a>).</p> <p><strong>Generation of the dataset: </strong></p> <ul> <li><strong>Phynotypic filtering:</strong></li> </ul> <p>The CRF analysis was performed on the average of the left and right eye measurements. Any outliers (i.e. CRF greater than the population mean difference + 3 standard deviations) were removed. Further phenotypic filtering was applied by removing samples linked to, or self-reporting, ocular conditions that could affect the measurements accuracy such as eye surgery, refractive laser surgery, cataract surgery, glaucoma high pressure surgery or laser treatment, corneal graft surgery, eye injury, keratoconus or cornea disorders.</p> <ul> <li><strong>Population selection:</strong></li> </ul> <p>Using the genetic quality control of the UK Biobank, white British participants with imputed data failing heterozygosity or/and missingness, or having a mismatch between self-reported and genotype-derived gender or showing putative sex chromosome aneuploidy as well as individuals who have withdrawn from the study at the time of analysis were removed. <em>This GWAS is restricted to individuals who were <strong>not closely related</strong> (pairwise kinship coefficient greater than 0.025 calculated by KING).</em> Finally, a total of 72,301 individuals were included in the GWAS.</p> <ul> <li><strong>GWAS:</strong></li> </ul> <p>The GWAS was performed using the generalized linear model (--glm) in PLINK2, common and low-frequency (MAF > 0.5%) well-imputed (INFO > 0.6) variants. Covariates fitted in the model were: age, sex, genotyping array, assessment center, genotyping batch, and the 20 first principal components of ancestry provided by the UK Biobank.</p> <ul> <li>UK Biobank application number: 19655</li> </ul> <p> </p> <p>Methods:</p> <p>Please see Jiang X, et al (2020<a href="https://doi.org/10.1038/s42003-020-01497-w">)</a> (doi: <a href="https://doi.org/10.1038%2Fs42003-020-01497-w">10.1038/s42003-020-01497-w</a>) for more details:</p> <p> </p> <p><strong>Header Description:</strong></p> <ul> <li>CHROM: chromosome,</li> <li>POS: hg19/GRCh37 position</li> <li>ID: variant Rsid</li> <li>A1: effective allele, minor allele</li> <li>A2: alternative allele, major allele</li> <li>BETA: effect size</li> <li>SE: standard error</li> <li>P: P value</li> <li>INFO: imputation quality</li> <li>MAF: Minor allele frequency</li> </ul> <p> </p> <p><strong>Some related analysis using this dataset: </strong></p> <p>Jiang X, et al (2020<a href="https://doi.org/10.1038/s42003-020-01497-w">)</a> (doi: <a href="https://doi.org/10.1038%2Fs42003-020-01497-w">10.1038/s42003-020-01497-w</a>): Fine-mapped CRF GWAS loci using FINEMAP and in-sample linkage disequilibrium data </p> <p>Jiang X, et al (2023) (doi: <a href="https://doi.org/10.3389%2Ffgene.2023.1171217">10.3389/fgene.2023.1171217</a>): Two colocalisation analysis using fine-mapped data: 1) CRF - cis-e/sQTL (GTEx v8); (2) CRF-keratoconus</p>
Bigwig files for paper "STK19 is a transcription-coupled repair factor that participates in UVSSA ubiquitination and TFIIH loading"
<p>Bigwig files for paper "STK19 is a transcription-coupled repair factor that participates in UVSSA ubiquitination and TFIIH loading". </p>
Eng SafeFood4EU Participants Feedback Survey
<p>This file contains the data set for the English questionnaire results, including figures for the SafeFood4EU project and Course Results. A separate file is available for the Bulgarian dataset. </p>
Genetic fine-mapping results for 56 NMR metabolites measured in 246,683 UK Biobank participants
<p>Fine-mapping credible sets for 56 metabolites measured in 246,683 UK Biobank participants using the Nightingale Health platform. Fine-mapping was performed using the https://github.com/AlasooLab/reGSusie workflow.<br><br>The 56_metabolites_finemapping_credible_sets.tsv file contains the fine-mapped credible sets for all 56 metabolites. The *_coloc5_final.tsv.gz files contain the log Bayes factors for each metabolite in each fine-mapped region. </p>
SPARCS_WP3_Espoo_City_SPARCS-WP3 participants in Smart Otaniemi events
<p>Number of participants in Smart Otaniemi, and other related, events completed during SPARCS Work Package 3 (WP3)</p>
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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.