Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,182
datasets available to search
ShareScore release 0.9.0
Dataset results
4,182 results for “universities”
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result / 15 Days / Created By Jihyeon Yoon(somehowme@gmail.com, flyingtext@nate.com, flyingtext@hotmail.com) Latest prediction can be available on map at https://sonagi-weather.web.app Prediction is based on the observation data of - Korea Meteorological Administration API - United States National Weather Service API - Canada MSC GeoMet API
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result / 15 Days / Created By Jihyeon Yoon(somehowme@gmail.com, flyingtext@nate.com, flyingtext@hotmail.com) Latest prediction can be available on map at https://sonagi-weather.web.app Prediction is based on the observation data of - Korea Meteorological Administration API - United States National Weather Service API - Canada MSC GeoMet API
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result
Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result / 15 Days / Created By Jihyeon Yoon(somehowme@gmail.com, flyingtext@nate.com, flyingtext@hotmail.com) Latest prediction can be available on map at https://sonagi-weather.web.app Prediction is based on the observation data of - Korea Meteorological Administration API - United States National Weather Service API - Canada MSC GeoMet API - ECMWF IFS04 within Europe area
Slovak Supermodel M1 (SSM1) : Matej Bel University SKRIPTOR project datasets
<p><strong>Slovenský supermodel pre rukopisy M1 (SSM1)</strong></p> <p>24. apríla 2024 o 9:09 sme spustili Transkribus Expert v. 1.27.0 tvorbu novej súhrnnej slovenskej supermodelky. Podkladom pre vytvorenie supermodelu pre určité slovenské rukopisy boli čiastkové modely riešiteľov problémov v projekte Skriptor <br>Model má označenie <strong>ID63569 Slovak Supermodel M1 (SSM1). </strong><strong>Na vytvorenie modelu</strong> použitých 1359 stran v kvalite Ground Truth (GT); <strong>56713 riadkov a 333777 slov. Z toho 1224 strán na školenie (Train set) a 135 strán na overenie nového modelu (Validation set).</strong></p> <p>Podklady k tomuto vzoru sú v <strong>slovenskom, latinskom, maďarskom a českom jazyku. slovakizovaná čeština.</strong> Vstupné rukopisy mali rôznu kvalitu z hľadiska digitalizovaných. Niektoré digitalizované obrázky boli použité z digitálnych úložísk, zvyčajne v dobrej kvalite 600 dpi a niektoré boli výsledkom skenovania pomocou zariadenia ScanTent a softvéru DocScan v dostatočnej kvalite 300 dpi. Ukážky písiem dokumentov nájdete vo výskumnej štúdii Skriptor. </p> <p>Zdrojové datasety:</p> <table> <tbody> <tr> <td> <p>Typ</p> </td> <td> <p>Vlastník</p> </td> <td> <p>Model</p> </td> <td> <p>Názov modelu</p> </td> <td> <p>Počet strán GT</p> </td> <td> <p>Spolupráca</p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Bôbová Mária</p> </td> <td> <p>ID49629</p> </td> <td> <p>SKRIPTOR_library_catalog_29.9P</p> </td> <td> <p><strong>25</strong></p> <p>(22/3)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Katuščák Dušan</p> </td> <td> <p>ID63169</p> </td> <td> <p>SKRIPTOR_Slovak_hand</p> </td> <td> <p><strong>331</strong></p> <p>(300/31)</p> </td> <td> <p><em>Transkripcia</em>: K. Komorová, M. Bôbová, J. Kiss; <em>Dat.analýza</em>: E. Kowalská, I. Kollárová, T.Albert</p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Kunec Patrik</p> </td> <td> <p>ID60311</p> </td> <td> <p>BBBDA - Canonical visitation protocol, 1756 - 8th</p> </td> <td> <p> <strong>50</strong></p> <p>(43/7)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Kurhajcová Alica</p> </td> <td> <p>ID57344</p> </td> <td> <p>SKRIPTOR_Model J.M. Hurban</p> </td> <td> <p><strong>655</strong></p> <p>(590/65) </p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Maliniak Pavol</p> </td> <td> <p>ID61347</p> </td> <td> <p>Abraham model 18</p> </td> <td> <p> <strong>90</strong></p> <p>(82/8)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Nagy Imrich</p> </td> <td> <p>ID60197</p> </td> <td> <p>SKRIPTOR_Catalog_Koháry_SABB</p> </td> <td> <p><strong>137 </strong></p> <p>(125/12)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p>M</p> </td> <td> <p>Tomeček Oto</p> </td> <td> <p>ID59197</p> </td> <td> <p>Neolatin Metales 1820</p> </td> <td> <p> <strong>129</strong></p> <p>(117/12)</p> </td> <td> <p> </p> </td> </tr> <tr> <td> <p><strong>M1</strong></p> </td> <td> <p><strong>All</strong></p> </td> <td> <p><strong>ID63569</strong></p> </td> <td> <p><strong>Slovak Supermodel M1 (SSM1)</strong></p> </td> <td> <p><strong> 1328</strong></p> <p><strong>(1359)</strong></p> </td> <td> <p><strong>Riešitelia APVV</strong></p> <p><strong>(rozdiel: rôzne parametre?)</strong></p> </td> </tr> </tbody> </table> <p><br>Samotné ukážky považujeme za veľmi dôležité pre ďalšie využitie a zdokonaľovanie modelu, keďže ďalší bádatelia získajú predstavu o podobnom alebo odlišnom písaní vlastných dokumentov, ktoré chcú prepisovať. <br><strong>Boli dosiahnuté hodnoty Train Set: 4,90 % a Validation Set: 5,30 %.</strong><br>Vytvorenie modelu SSM1 na serveri Transkribus trvalo dva dni, 5 hodín, 16 sekúnd, teda <strong>53 hodín a 58 minút.</strong> Proces tvorby bol ukončený po <strong>174 cykloch</strong> (epochách). <br>Model SSM1 je prvým pokusom na Slovensku o vytvorenie nástroja, prostredníctvom ktorého by bolo možné automaticky sprístupniť určité typy ručne písaných dokumentov, ktoré sa podobajú fontom používaným na ich tvorbu. <br><strong>ID63569 Slovak Supermodel M1 (SSM1)</strong> nemožno v žiadnom prípade považovať za definitívny univerzálny model na prepis historických rukopisov slovenskej proveniencie všetkých typov a období. Rozmanitosť písiem a štýlov rukopisu je nekonečná a vytvorenie optimálneho agregovaného modelu je výzvou pre ďalších výskumníkov a nadšencov v nasledujúcich rokoch. <br>Veríme však, že náš prvý agregovaný model SSM1 môže uľahčiť automatický prepis ďalších analogických rukopisov. <br>Riešiteľský tím plánuje sprístupniť datasety v rámci udržateľnosti projektu v rokoch 2024-2028 prednostne na výskumné a vzdelávacie účely pre inštitúcie a výskumníkov, ktorí chcú prispieť k vytvoreniu modelu historických rukopisov v západoslovanských jazykoch, respektíve jazyky slovenského a českého pôvodu. <strong>Copyright: CC BY-NC-SA.</strong><br>Samozrejme, takýto automatický prepis neprinesie okamžite uspokojivé výsledky. Môže však uľahčiť „hrubý“ automatický prepis ďalších stránok krok za krokom, ich ručnú opravu na stav GT a následné použitie väčších súborov údajov GT na spresnenie nového modelu založeného na našom SSM1. Po vytvorení ďalších stoviek a tisícok stránok GT bude možné pristúpiť k tvorbe ďalších generácií nových modelov založených na SSM1. Vývoj by mohol pokračovať pre rukopisy s modelmi nových generácií SSM2, SSM3 atď. Respektíve pre tlače a sadzbu (P-Print), ako sú supermodely SSP1, SSP2, SSP3 atď. (Google translate)</p> <p> </p>
Attitudes towards Homosexuality among University Students
Open the record for dataset details and reuse information.
Data from: Communication skills of medical students: Evaluation of a new communication curriculum at the University of Augsburg
<p><strong>Objectives: </strong>Teaching communication skills plays a pivotal role in medical curricula. The aim of this article is to describe and evaluate a new communication curriculum developed at the Faculty of Medicine, University of Augsburg (KomCuA), which was conceptualized by an interdisciplinary team based on recommended quality standards (<em>i.e.,</em> helical, integrated, longitudinal).</p> <p><strong>Methods: </strong>A total<strong> </strong>of 150 medical students enrolled in the 1<sup>st</sup>, 3<sup>rd</sup>, and ≥5<sup>th</sup> semester participated in the study. They completed an online survey (numerical rating scales and validated questionnaires) evaluating their current communication skills, how these developed across the curriculum in terms of quality and self-confidence, and how helpful they considered practicing in small group tutorials with simulated patients. The students' attitudes towards communication and empathy in the context of medical care were additionally assessed. The students' responses were compared across semesters using one-way univariate analysis of variance (ANOVA).</p> <p><strong>Results: </strong>Overall, students reported improved communications skills due to attending the KomCuA and further considered practicing with simulated patients as being very helpful (large effect sizes). Compared to 1<sup>st</sup> semester students, 3<sup>rd</sup> and ≥5<sup>th</sup><strong> </strong>semester students reported better communication skills (medium to large effect sizes). Additionally, ≥5<sup>th</sup><strong> </strong>semester students showed stronger agreement towards the relevance of empathy in the context of medical care (medium effect size) compared to both 1<sup>st</sup> and 3<sup>rd</sup> semester students.</p> <p><strong>Conclusion: </strong>The KomCuA has shown to be an effective communication curriculum to support medical students in the development of their communication skills and positive attitudes towards empathy. Additional studies assessing students' communication skills and empathic attitudes longitudinally are warranted to confirm the present results and to gain further knowledge on how these essential skills and attitudes develop across medical curricula.</p>
Marine multichannel seismic data collected during RV METEOR expedition M113 (University of Hamburg)
Open the record for dataset details and reuse information.
O'QUVCHILARNING MATEMATIK BILIMLARINI UNIVERSAL HARAKAT ORQALI MODELLASHTIRISH
Open the record for dataset details and reuse information.
Supplementary Video for Phillips Dissertation: "Chimpanzee and Macrotermes Interactions" University of California, Santa Cruz
Open the record for dataset details and reuse information.
Alumni of Dhaka University, Mujibnagar Government, and the Emergence of Bangladesh: A Historical Analysis
Open the record for dataset details and reuse information.
Validating Instructional Practice Scale (IPS) for University Instructors: Parallel analysis
<p>This is a parallel analysis dataset </p>
Publication list of Ferenc Kiss from the University of Novi Sad
Open the record for dataset details and reuse information.
Figure 4 in EVALUATION OF THE EFFECTIVENESS OF USING A UNIVERSAL METHOD FOR ISOLATING GENOMIC dsDNA BY SALTING OUT TECHNIQUE ACCORDING TO THE S.M. ALJANABI AND I. MARTINEZ PROTOCOL FOR YEAST SACCHAROMYCES CEREVISIAE
Figure 4. Visualisation of isolated yeast DNA (Saccharomyces cerevisiae) using the S.M. Aljanabi and I. Martinez universal protocol in 1.8% Agarose gel by horizontal electrophoresis. DNA size marker/Ladder: Gene Ruler 100bp. Plus DNA Ladder (Thermo Scientific).
Exploring the Relationships Between Health Behaviours and Related Outcomes in UK University Students: a Bayesian Network Approach
Open the record for dataset details and reuse information.
THE EFFECT OF SOCIAL SUPPORT ON BURNOUT AMONG CHINESE UNIVERSITY LECTURERS
Open the record for dataset details and reuse information.
InLUT3D: Indoor Lodz University of Technology Point Cloud Dataset
<h2>Background</h2> <p>This resource contains Indoor Lodz University of Technology Point Cloud Dataset (<strong>InLUT3D</strong>) - a point cloud dataset tailored for real object classification and both semantic and instance segmentation tasks. Comprising of <strong>321</strong> scans, some areas in the dataset are covered by multiple scans. All of them are captured using the Leica BLK360 scanner.</p> <h2>Train/test split</h2> <p>The datset's authors impose the following train-test split:</p> <table> <tbody> <tr> <td><strong>Split</strong></td> <td><strong>Setup range<br></strong></td> </tr> <tr> <td>train</td> <td>from <em>setup_0 </em>to <em>setup_300</em></td> </tr> <tr> <td>test</td> <td>from <em>setup_301 </em>to <em>setup_320</em></td> </tr> </tbody> </table> <p>The corresponding setups' objects are recommended for splits for the classificcation task.</p> <h2>Available categories</h2> <p>The points are divided into <strong>18 </strong>distinct categories outlined in the <em>label.yaml</em> file along with their respective codes and colors. Among categories you will find:</p> <ul> <li>ceiling,</li> <li>floor,</li> <li>wall,</li> <li>stairs,</li> <li>column,</li> <li>chair,</li> <li>sofa,</li> <li>table,</li> <li>storage,</li> <li>door,</li> <li>window,</li> <li>plant,</li> <li>dish,</li> <li>wallmounted,</li> <li>device,</li> <li>radiator,</li> <li>lighting,</li> <li>other.</li> </ul> <h2>Challenges</h2> <p>Several challenges are intrinsic to the presented dataset:</p> <ol> <li>Extremely non-uniform categories distribution across the dataset.</li> <li>Presence of virtual images, particularly in reflective surfaces, and data exterior to windows and doors.</li> <li>Occurrence of missing data due to scanning shadows (certain areas were inaccessible to the scanner's laser beam).</li> <li>High point density throughout the dataset.</li> </ol> <h2>Dataset structure</h2> <p>The structure of the dataset is the following:</p> <p>inlut3d.tar.gz/<br>├─ setup_0/<br>│ ├─ projection.jpg<br>│ ├─ segmentation.jpg<br>│ ├─ setup_0.pts<br>├─ setup_1/<br>│ ├─ projection.jpg<br>│ ├─ segmentation.jpg<br>│ ├─ setup_1.pts<br>...</p> <table> <tbody> <tr> <td><strong>projection.jpg</strong></td> <td>A file containing a spherical projection of a corresponding PTS file.</td> </tr> <tr> <td><strong>segmentation.jpg</strong></td> <td>A file with objects marked with unique colours.</td> </tr> <tr> <td><strong>setup_x.pts</strong></td> <td>A file with point cloud int the textual PTS format.</td> </tr> </tbody> </table> <h2>Point characteristic</h2> <p>Each PTS file contains 8 columns:</p> <table> <tbody> <tr> <td><strong>Column ID</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>1</td> <td>X Cartesian coordinate</td> </tr> <tr> <td>2</td> <td>Y Cartesian coordinate</td> </tr> <tr> <td>3</td> <td>Z Cartesian Coordinate</td> </tr> <tr> <td>4</td> <td>Red colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>5</td> <td>Green colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>6</td> <td>Blue colour in RGB space in the range [0, 255]</td> </tr> <tr> <td>7</td> <td>Category code</td> </tr> <tr> <td>8</td> <td>Instance ID</td> </tr> </tbody> </table> <p> </p>
ON THE METHODOLOGY OF ORGANIZING PHYSICAL KVN IN A TECHNICAL UNIVERSITY
Open the record for dataset details and reuse information.
Impact of Stereotype Threat on Workplace Wellbeing and Job Satisfaction of Women executives of State Universities in Sri Lanka
Open the record for dataset details and reuse information.
Factors influencing the adoption of e-government by female university students
Open the record for dataset details and reuse information.
Figure 4 from: Donegan TM (2018) What is a species? A new universal method to measure differentiation and assess the taxonomic rank of allopatric populations, using continuous variables. ZooKeys 757: 1-67. https://doi.org/10.3897/zookeys.757.10965
Figure 4 Scatter-graphs of controlled unpooled effect size (x-axis) versus statistical significance (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.