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2,020 results for “School”
ENIS/MIDA summer school 2020: ESR 11 Aleeha Ali
<p>Aleeha Zahra Ali´s work is about digitization and how religious experiences can unfold within it. She is asking i.e.: How can religious authority manifest on popular social media platforms like <a href="https://www.instagram.com/explore/tags/youtube/">#YouTube</a>?Aleeha Zahra´s work is about digitization and how religious experiences can unfold within it. She is asking i.e.: How can religious authority manifest on popular social media platforms like <a href="https://www.instagram.com/explore/tags/youtube/">#YouTube</a>? This film is a short introduction, scraping the surface of her <a href="https://www.instagram.com/explore/tags/ethnographic/">#ethnographic</a> research project. </p>
ENIS/MIDA summer school 2020: ESR 12: Justin Benavidez
<p>Justin Benavidez's research focuses on the history of knowledge through the writings of Muhammad al-Qurtubi, from the city of Cordoba. The writings of al-Qurtubi (d. 1273), in particular his commentary of the Qur'an, offer insight into the ways in which ideas about religious knowledge were read, shared, and integrated into mainstream Islamic thought.</p> <p> </p>
ENIS/MIDA summer school 2020: ESR 10 Hayat Douhan
<p>Hayat Douhan participation in the MIDA-ENIS summer school is an occasion to explore her research context/population, which is the Moroccan Muslim religious field/community in the diaspora. In her presentation, she tackled the issue of Moroccan Imams in Europe with a focus in Germany.</p>
ENIS/MIDA summer school 2020: ESR 8 Mahdieh Tavakol
<p>Mahdieh Tavakol research is focused on the library of Baha al-Din Muhammad al-Amili (1547-1621 CE), the great Jabal Amili scholar in Safavid Persia. Her video is a brief overview of her work and the way she is trying to reconstruct this historical library whose manuscripts are now scattered around the globe.</p>
ENIS/MIDA summer school 2020: ESR 7 Robin Cognée
<p>Robin Cognée PhD focuses on #<a href="https://www.instagram.com/explore/tags/mosque/">mosque</a> history, <a href="https://www.instagram.com/explore/tags/architecture/">#architecture</a> and <a href="https://www.instagram.com/explore/tags/scripture/">#scripture</a> in Bosnia and Herzegovina. In his film he discusses this question: How has the <a href="https://www.instagram.com/explore/tags/islamiccommunity/">#IslamicCommunity</a> of Bosnia and Herzegovina been using Internet and new online tools in order to cope with the <a href="https://www.instagram.com/explore/tags/digitalera/">#digitalera</a>?</p>
ENIS/MIDA summer school 2020: ESR 5 Elmozafar Abdelhafiz
<p>Elmozfar Abdelhafiz directed (t)his piece of moving art. Elmozfar, a scientist and historian, put an interesting approach into his entertaining short film. As the presenter he asks questions like: What if we were able to view and write history interactively? What if we approached it in a manner similar to video games?</p>
ENIS/MIDA summer school 2020: ESR 2 Lena Richter
<p>Lena Richter explores how Facebook memes are used by young Moroccan non-believers to convey their experiences, struggles, and religious criticism - based on the examples of non-religious humor during Ramadan and the COVID-19 pandemic.</p>
ENIS/MIDA summer school 2020: ESR 3 Rayane Al-Rammal
<p>Rayane Al-Rammal research tackles the artistic renaissance that took place during the recent and ongoing Lebanese uprisings (October 2019 - ). Rayane is asking: How are digital artivistic forms of self-expression inspired by the revolution? And how do they circulate online?</p>
contact-primary-school
<h3><strong>Overview</strong></h3><p>This dataset is constructed from a contact network among children and teachers at a primary school.</p><p>We form hyperedges through cliques of simultaneous contacts. Specifically, for every unique timestamp in the dataset, we construct a hyperedge for every maximal clique amongst the contact edges that exist for that timestamp. Timestamps were recorded in 20-second intervals.</p><h4><strong>Statistics</strong></h4><p>Some basic statistics of this dataset are:</p><ul><li>Number of nodes: 242</li><li>Number of timestamped hyperedges: 106,879</li><li>Number of unique hyperedges: 12,799</li></ul><h4><strong>Source of original data</strong></h4><p>Sources:</p><ul><li><a href="http://www.sociopatterns.org/datasets/primary-school-temporal-network-data/">SocioPatterns</a></li></ul><h4><strong>References</strong></h4><p>If you use this dataset, please cite these references:</p><ul><li><a href="https://doi.org/10.1371/journal.pone.0023176">High-Resolution Measurements of Face-to-Face Contact Patterns in a Primary School</a>. Stehlé et al., PLoS ONE (2011).</li><li><a href="https://doi.org/10.1186/s12879-014-0695-9">Mitigation of infectious disease at school: targeted class closure vs school closure</a>. Valerio Gemmetto, Alain Barrat, and Ciro Cattuto. BMC Infectious Diseases (2014).</li><li><a href="http://www.sociopatterns.org/">The SocioPatterns collaboration</a></li></ul>
contact-high-school
<h3><strong>Overview</strong></h3><p>This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. This dataset was constructed from a contact network amongst high school students in Marseilles, France, in December 2013. The contact network was downloaded from </p><p>We form hyperedges through cliques of simultaneous contacts. Specifically, for every unique timestamp in the dataset, we construct a hyperedge for every maximal clique amongst the contact edges that exist for that timestamp. Timestamps were recorded in 20-second intervals.</p><h4><strong>Statistics</strong></h4><p>Some basic statistics of this dataset are:</p><ul><li>Number of nodes: 327</li><li>Number of timestamped hyperedges: 172,035</li><li>There is a single connected component of size 327</li></ul><h4><strong>Source of original data</strong></h4><p>Sources:</p><ul><li><a href="http://www.sociopatterns.org/datasets/high-school-contact-and-friendship-networks/">SocioPatterns</a></li></ul><h4><strong>References</strong></h4><p>If you use this dataset, please cite these references:</p><ul><li><a href="https://doi.org/10.1371/journal.pone.0136497">Contact Patterns in a High School: A Comparison between Data Collected Using Wearable Sensors, Contact Diaries and Friendship Surveys</a>. Rossana Mastrandrea, Julie Fournet, and Alain Barrat. PLoS ONE, 2015.</li></ul>
Dataset for the paper "Mental Health and Burnout during Medical School: Longitudinal Evolution and Covariates" published in PLOS ONE (2024)
<p><strong>Full reference of the paper:</strong></p> <p>Carrard V, Berney S, Bourquin C, Ranjbar S, Castelao E, Schlegel K, et al. (2024) Mental health and burnout during medical school: Longitudinal evolution and covariates. PLoS ONE 19(4): e0295100. <a href="https://doi.org/10.1371/journal.pone.0295100">https://doi.org/10.1371/journal.pone.0295100</a></p>
HR01 - High school - Konjscina (Croatia)
<p>Data files for building: HR01 - High school - Konjscina (Croatia)</p> <p>Languages: English</p> <p>These files are part of the public benchmark repository created as a part of the crossCert EU project. </p> <p>This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.</p> <p>The files are organised in the following folders (note that not all files are always provided):</p> <ol> <li>Main data and Results, with: <ol> <li>Neutral data inventory.</li> <li>Neutral results report.</li> <li>Original EPC certificate.</li> </ol> </li> <li>Energy Consumption Data, with: <ol> <li>Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.</li> </ol> </li> <li>Drawings <ol> <li>Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption models.</li> </ol> </li> <li>Other Data <ol> <li>Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.</li> </ol> </li> <li>Dynamic Model <ol> <li>Data to run a dynamic model of the building, if available.</li> </ol> </li> </ol> <p>The files have been redacted to exclude confidential information. </p>
Fighting the School-to-Prison Pipeline with Excellence Project
<p><strong>Join the movement of <a href="https://www.excellenceproject.org/take-action">organizations fighting school to prison pipeline</a> to transform education and opportunities for students at risk. Excellence Project works tirelessly to combat the school-to-prison pipeline by fostering equitable learning environments, mentorship programs, and advocacy for restorative justice. </strong></p>
School counselors' beliefs about family-school relationships
<table align="left"> <tbody> <tr> <td> <p><strong>This document informs about the items and the factors that have been extracted from the </strong><strong>Family-School Relationships questionnaire in a sample of 110 Spanish school counselors. The document has two parts, one that informs about the factors that have been extracted when measuring school counselors' beliefs about family -school relationships, and another one that informs about the factors that have been extracted when exploring school counselors' self-efficacy to relate with families.</strong></p> <p> </p> </td> </tr> </tbody> </table>
rpa-school-dataset
<p>Polish schools dataset for Robotic Process Automation tasks. See more details in the paper: "<a href="https://hdl.handle.net/10125/102746"><strong>Multi-Domain Named Entity Recognition for Robotic Process Automation</strong></a>".</p> <p>The data was sourced from the Polish registry of schools <a href="https://rspo.gov.pl/">(RSPO, <em>Rejestr Szkół i Placówek Oświatowych</em>)</a>. It is intended to be used in RPA and NER-related research. The dataset is entirely in the Polish language.</p> <p><strong>Citation</strong></p> <p>If you use this data in research works, please cite the following paper:</p> <p>Ganzha, M., Denisiuk, A., Sowiński, P., Wasielewska-Michniewska, K., & Paprzycki, M. (2023). Multi-Domain Named Entity Recognition for Robotic Process Automation.</p> <p>BibTeX:</p> <pre><code>@article{ganzha2023multi, title={Multi-Domain Named Entity Recognition for Robotic Process Automation}, author={Ganzha, Maria and Denisiuk, Aleksander and Sowi{\'n}ski, Piotr and Wasielewska-Michniewska, Katarzyna and Paprzycki, Marcin}, year={2023}, url={https://hdl.handle.net/10125/102746} }</code></pre> <p> </p>
Family Type, Mental and Physical Health of in-school Female Adolescents in Ado-Ekiti, Nigeria
<p>This dataset is based on a cross-sectional survey conducted in Ado-Ekiti, Nigeria among in-school female adolescents. The general objective of the study was to examine the influence of family type on the physical and mental health of in-school female adolescents. The data were obtained in 2017 from in-school female adolescents aged 10-18 years old. The respondents were randomly selected from four purposively selected secondary schools. Two schools were selected from the government-owned public schools and two from schools owned by individuals or private organizations. Nigeria operates a six-year secondary education; three years at the junior secondary school (JSS 1-3) and three years at the senior secondary (SS 1-3). The population for this study excluded students in SS3 because they had just concluded their terminal examination at the time of this study. Using the formula proposed by (Krejcie & Morgan, 1970) for deriving a small sample when the population is known, a sample size of 383 was derived from a population of 1656 female students in the four schools. With 10% added to adjust for non-response, a total of 421 students were involved in the study. The number of respondents allocated to each school was proportional to the size of the female students' population in each school. In each school, respondents were assigned to classes proportional to the size, and the particular respondents were identified using a random number. Data were collected with a self-administered structured questionnaire which was piloted before the actual survey. The data is saved in Stata format. </p> <p>A scale for measuring self-reported mental well was designed using questions adapted from Ross, Mirowsky, & Goldsteen (1990) and (Langton & Berger, 2011). The scale reliability coefficient was 0.85. The students were asked to state how often they experience 22 conditions such as feeling sad, discouraged, lonely, hopeless, worthless, wishing you were dead, having trouble concentrating, having difficulty sleeping, crying, and worried among others. </p> <p>Physical health was measured using a scale generated with questions adapted from (Langton & Berger, 2011; Ross et al., 1990). The students were asked to state the frequency of experiencing seven conditions in the month before the survey: feeling sick, tired, dizzy, having chest pain, a headache, muscle or joint pain, and stomach ache. The response options were every day, more than two times, two times, once, and never, graded 1-5.</p> <p>Family type was categorised in four ways: 1) two-parent and single parent. Two parents comprised of couples who were legally married and those who were living together in a consensual union whereas single parents comprised never married, widowed, divorced, and separated mother or father. 2) two-parent (monogamous), two-parent (polygynous), and single parent 3) two-parent, single father, and single mother 4) two-parent, never married, widowed, divorced, and separated</p>
Seasonal analysis comparison of three air-cooling systems in terms of thermal comfort, air quality and energy consumption for school buildings in Mediterranean climates
<p>Efficient air-cooling systems for hot climatic conditions, such as Southern Europe, are required in the context of nearly Zero Energy Buildings, nZEB. Innovative air-cooling systems such as regenerative indirect evaporative coolers, RIEC and desiccant regenerative indirect evaporative coolers, DRIEC, can be considered an interesting alternative to direct expansion air-cooling systems, DX. The main aim of the present work was to evaluate the seasonal performance of three air-cooling systems in terms of air quality, thermal comfort and energy consumption in a standard classroom. Several annual energy simulations were carried out to evaluate these indexes for four different climate zones in the Mediterranean area. The simulations were carried out with empirically validated models. The results showed that DRIEC and DX improved by 29.8% and 14.6% over RIEC regarding thermal comfort, for the warmest climatic conditions, Lampedusa and Seville. However, DX showed an energy consumption three and four times higher than DRIEC for these climatic conditions, respectively. RIEC provided the highest percentage of hours with favorable indoor air quality for all climate zones, between 46.3% and 67.5%. Therefore, the air-cooling systems DRIEC and RIEC have a significant potential to reduce energy consumption, achieving the user’s thermal comfort and improving indoor air quality.</p>
Weather Data from Randolph-Henry High School (Roanoke River Watershed) from 2021-12-06 to 2022-04-22
<p>General Metadata for Atmospheric Sampling Station at Randolph-Henry High School</p> <p>Files</p> <p>Specific metadata for each deployment can be found as text files with the file format of:</p> <pre><code>RR_weather_YYYY-MM-DD_YYYY-MM-DD_metadata.txt</code></pre> <p>Where YYYY-MM-DD_YYYY-MM-DD is the date range of the sampling period.</p> <p>Metadata File Created</p> <ul> <li>2022-05-10 by KF - copied and modified LP_weather_general_metadata.md</li> </ul> <p>File Modified</p> <p>Description</p> <p>These data are from a weather station installed at Randolph-Henry High School (37.053282 N, -78.649005 W) as part of the Longwood Environmental Observatory (leo.longwood.edu).</p> <p>All data are CC-BY and should be cited using the DOI available at <a href="https://zenodo.org/communities/leo/">https://zenodo.org/communities/leo/</a></p> <p>Station Specifics</p> <p>The specific at each site are:</p> <pre><code>* Barometric Pressure (mmHg) - Campbell Scientific CS100 Barometric Pressure Sensor * Light Flux Density (kW/m^2) - Apogee Thermopile Pyranometer * Light Total Flux (kJ/m^2) - Apogee Thermopile Pyranometer * Rainfall (mm) - not installed * Temperature (dC) - HygroVUE5 Temperature and Relative Humidity Sensor * Relative Humidity (%) - Campbell Scientific CS215 Temperature and Relative Humidity Sensor * Wind Speed (m/s) - Wind Setry 03002-5 Wind Speed and Direction Sensor * Wind Direction (degrees from true N) - Wind Setry 03002-5 Wind Speed and Direction Sensor * Data Collection - Campbell Scientific CR800 Data Logger</code></pre> <p>The sensors are sampled every 15 minutes</p> <p>Measurement Parameters, units, and Variable Names</p> <pre><code>* DATE - the date that the record was collected (YYYY-MM-DD) * TIMESTAMP - the date and time that the record was collected (YYYY-MM-DD HH:MM:SS) * RECORD.x - a unique identifying number provided from the data logger for table 1 from the original downloaded data. * BattV - The battery voltage at the time of the sampling (Volts) * PTemp_C - * Rain_mm_Tot - The total rainfall during the sampling interval (mm) * BP_mbar - The barometric pressure (mbar) * AirTC - the air temperature at the time of the sampling (dC) * RH - the relative humidity at the time of the sampling (%) * WS_ms - the wind speed at the time of the sampling event (m/s) * WindDir - the wind direction at the time of the sampling event (degrees from true N) * SlrW - the light flux density at the time of the sampling (W/m^2) * SlrMJ_Tot - the total light flux (MJ/m^2) * CS320_Temp - * DewPt_C - the dew point (dC) * RECORD.y - a unique identifying number provided from the data logger for table 1 from the original downloaded data. * BattV_Min - The minimum battery voltage at the time of the sampling (Volts)</code></pre>
Naturae cognoscere causas, Schools Endeavour
<p>A movie presenting the Schools Endeavour “Naturae cognoscere causas” by Bartłomiej Nowodworski I High School in Kraków, Mikołaj Rej XI High School in Warsaw, and “Strumienie” High School in Józefów, carried out within the third stage of the European Research Council (ERC) Consolidator Grant Project “Our Mythical Childhood” (681202): “Our Mythical Nature. The Classics and Environmental Issues in Children’s and Young Adults’ Culture”, and within the activities of The Cluster The Past for the Present: International Research and Educational Programme, Faculty of “Artes Liberales”, University of Warsaw, 2021.</p> <p>More information at the project Website <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbXJMa1VFSXFrY0xfaGZNQk5wTXBaN3h4Wkw2UXxBQ3Jtc0tucXVIMk5lVXFNaWJkcnpIbFBzRGNZcW5BeGo5TWQ3OW5fbnBObllJLWlZOEdOaER5eEdXelVBcVRJRVc5Z0hCUWlyMGxKVXNQelpGZjNiSDFRWHdWVE56c2FURXd4V1RhdVZIN3oySlNYN0NGRmV3UQ&q=http%3A%2F%2Fwww.omc.obta.al.uw.edu.pl%2F">http://www.omc.obta.al.uw.edu.pl/</a> and </p> <p>Our Mythical School Ventures: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbWFtZVZxVWVjVGIwa3NJMzRHeG1zcjFoU0xVZ3xBQ3Jtc0trQVJJbUltYnZRczdYTWEzUHdscmlaSXJ6NTBBcmhNVlhRTWhPVXg0Nm93MmJMdGIzN2hIUGZGcmxLTHJKVmxESWR0M182bXBXLUVmc1JxOWdxQ2FKYWdCR2ZER1NUZGtURmlLZkhNc0g1NDk3Sm4zNA&q=http%3A%2F%2Fomc.obta.al.uw.edu.pl%2Fventures">http://omc.obta.al.uw.edu.pl/ventures</a></p>
Extract from the PEAPL framework : Modelling "Writing sentences" competency (French as the schooling language)
<p>Competences, skills and knowledges that make up "writing sentences" competency, based on the linguistic praxeological organization of French as the schooling language (https://doi.org/10.5281/zenodo.4001381). This is an extract of the general framework, some of the visible objects are linked to other objects in other main competences. Orange links show how pedagogic ressources (game levels) are linked to framework objects.</p> <p>This framework is used for the PEAPL (peapl.eu) project to link activities in the GamesHub platform (for example activities using "L'Orthodyssée des Gram" grammar online game, available at https://www.lafamillegram.ch/#)</p> <p> </p> <p> </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.