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4,182 results for “universities”
Selected data from "Small-scale universality in the spectral structure of transitional pipe flows"
<p>Data from Figure 4 and Figure 6 of "Small-scale universality in the spectral structure of transitional pipe flows", Science Advances (2019). Included are spatial spectra normalized with the Kolmogorov scale and viscosity. The collapse of the normalized spectra is indicative of the small-scale universality predicted by Kolmogorov. The data are taken from turbulent and transitional pipe flows at different Re and different positions from the wall from both experiments and simulations (experiments are at the centerline only).</p>
R-Script surface contour: Republic of Moldova project report Free University Berlin
<p>This R-Script supplements (surface contour) the project of the Freie Universität Berlin with the title: <strong>Anwendung geoarchäoogischer Methoden zum Verständnis anthropogener Spuren der Poineşti-Lucaşeuca Kultur in Ivancea-Sub Pădure, Republik Moldau. </strong>The project was carried out by students during the module Projekt I at the Freien Universität Berlin. Fieldwork was conducted 16th - 23rd September 2018in the vicinity of Ivancea (central Moldova), about 30km north of the capital Chisinau. </p>
Self medication among university students in san jose, costa rica databases
<p>These is the database used for the research study "Self medication among university students in San Jose, Costa Rica". There are two csv files, a codified database and a database with legends. Please note legends are in Spanish. If you have any questions, contact natalianorori@gmail.com </p> <p> </p>
Map 1 in A Preliminary Study on the Birds of Berhampur University (Bhanja Bihar) Campus, Ganjam, Odisha, India
Map 1. Location and vegetation of Berhampur University Campus, Odisha, India.
Figure 2 in A Preliminary Study on the Birds of Berhampur University (Bhanja Bihar) Campus, Ganjam, Odisha, India
Figure 2. Genus and species percentage of birds of Bhanja Bihar Campus (Berhampur University).
Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 140 to 154 m²/g<br>Expected specific surface area for argon (BET): 129 to 135 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 24 to 25 m²/g<br>Expected specific surface area for argon (BET): 20 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Freshwater and Marine Image Bank, University Libraries, U Washington: Freshwater and Marine Image Bank, U Washington
The Freshwater and Marine Image Bank is a digital collection from the University of Washington Libraries of images related to freshwater and marine topics, in all their diversity. It includes images of fish, shellfish, and marine mammals, pictures of fish hatcheries and dams and vessels, materials related to polar exploration, regional and traditional fisheries, and limnological (freshwater) subjects. Its scope is global. <p></p>http://content.lib.washington.edu/fishweb/index.html<p></p>The Freshwater and Marine Image Bank is a digital collection from the University of Washington Libraries of images related to freshwater and marine topics, in all their diversity. It includes images of fish, shellfish, and marine mammals, pictures of fish hatcheries and dams and vessels, materials related to polar exploration, regional and traditional fisheries, and limnological (freshwater) subjects. Its scope is global. <p></p>http://content.lib.washington.edu/fishweb/index.html
Freshwater and Marine Image Bank, University Libraries, U Washington: Original zip resource
The Freshwater and Marine Image Bank is a digital collection from the University of Washington Libraries of images related to freshwater and marine topics, in all their diversity. It includes images of fish, shellfish, and marine mammals, pictures of fish hatcheries and dams and vessels, materials related to polar exploration, regional and traditional fisheries, and limnological (freshwater) subjects. Its scope is global. <p></p>http://content.lib.washington.edu/fishweb/index.html<p></p>
University of Tartu Europeana Collection
Countless natural history treasures are deposited in museums across the world, many hidden away beyond easy access. The OpenUp! project creates a free access to these resources, offering over one million items belonging to the world__s biodiversity heritage. The objects made available through OpenUp! consist of high quality images, videos and sounds, as well as natural history artworks and specimens, and also include many items previously inaccessible to visitors. Information provided through OpenUp! is checked by scientists and made available through the Europeana portal at www.europeana.eu.
Data set from the design of experiment assessment rubric, from university students / future teachers
<p>Using an assessment rubric comprising three levels of success, we evaluated six aspects of designing an experiment, which we call dimensions. This way, specific challenges were identified in two of the dimensions: forming a hypothesis and manipulating the experimental variables, where students often failed to succeed and get lower scores.</p> <p>The data presented here were collected from four (4) diagnostic worksheets, which were made available to students at the beginning of the semester, where a theoretical introduction to the course is given, with reference to learning theories and their use in the teaching of Physics. Therefore, data were collected prior to discussions about the inquiry-based approach, experimental investigations, and the scientific content, such as the concepts and phenomena mentioned in the worksheets. </p> <p>For the present study, we slightly modified and used a rubric that has been proposed to assess the DoE by primary and secondary school students (Lefkos et al., 2011). The modified rubric, has already been tested in a pilot study with fruitful results (Lefkos, 2024).</p> <p>Lefkos, I. (2024). An Assessment Rubric for Future Teachers’ Ability to Design Experiments. In C. Fazio & P. Logman (Eds.), <em>Challenges in Physics Education</em> (pp. 105–117). Springer. https://doi.org/10.1007/978-3-031-48667-8_7</p> <p>Lefkos, I., Psillos, D., & Hatzikraniotis, E. (2011). Designing experiments on thermal interactions by secondary-school students in a simulated laboratory environment. <em>Research in Science & Technological Education</em>, <em>29</em>(2), 189–204. https://doi.org/10.1080/02635143.2010.533266</p>
Brazilian University STEM Postgraduate Program Research Members Dataset
<div> <div>The dataset, anonymized to protect privacy, contains information from the STEM department of a Brazilian university, covering seven major research areas declared by faculty members who are current or former participants in the postgraduate program.</div> </div>
ODAQ v1: Additional Results from Ball State University (BSU)
<p>This package contains additional subjective results for ODAQ v1: <a href="../records/10405774">https://zenodo.org/records/10405774</a></p> <p>The additional results contained in this package were obtained at the Ball State University (BSU), Muncie, Indiana, where the same listening test as described in ODAQ v1 was carried out with 16 participants divided in two cohorts.</p> <p>Cohort B1 had 8 subjects with a mean age of 20.4 years (SD .34 years), with average of 2.5 years of experience (SD .76). Cohort B2 had 8 subjects with a mean age of 20.75 years (SD 2.22 years), with average of 2 years of experience (SD .97).</p> <p>The difference in training between Cohort B1 and B2 was that the training for Cohort B2 did not address the concept of the anchor and no use of the term was made during oral instruction. Both cohorts were exposed to the same training materials and levels of impairment, including the 3.5k and 7k anchor conditions, but only for Cohort B1 the anchor condition was referred to as such and introduced under the explicit anchor label when played for the group.</p> <p>Useful Links:</p> <ul> <li>Paper: <a href="https://aes2.org/publications/elibrary-page/?id=22721">https://aes2.org/publications/elibrary-page/?id=22721</a></li> <li>GitHub project page for ODAQ: <a href="https://github.com/Fraunhofer-IIS/ODAQ/">https://github.com/Fraunhofer-IIS/ODAQ/</a></li> <li>Listening test app: <a href="https://github.com/Netflix-Skunkworks/listening-test-app" target="_blank" rel="noopener">https://github.com/Netflix-Skunkworks/listening-test-app</a></li> </ul>
Auditory Scene Analysis dataset (Multichannel universal sound separation & polyphonic audio classification)
<p>We constructed a new dataset for <strong>multichannel universal sound separation</strong> and <strong>polyphonic audio classification</strong> tasks.</p> <p>We constructed a new dataset for multichannel USS and polyphonic audio classification tasks. The proposed dataset is designed to reflect various conditions, including moving sources with temporal onsets and offsets. For foreground sound sources, signals from 13 audio classes were selected from open-source databases (Pixabay and FSD50K, Librispeech, MUSDB18, Vocalsound). These signals were resampled to 16 kHz and pre-processed by either padding zeros or cropping to 4 seconds. Each sound source has a 75% probability of being a moving source, with speeds ranging from 0 to 3 m/s. The dataset features between 2 to 4 foreground sound sources, along with one background noise from the diffused TAU-SNoise dataset with a signal-to-noise ratio (SNR) ranging from 6 to 30 dB. The simulations were conducted using gpuRIR. Room dimensions were set to a width and length between 5 and 8 meters, and a height between 3 and 4 meters, with reverberation times ranging from 0.2 to 0.6 seconds. These parameters were sampled from uniform distributions. We simulated spatialized sound sources using a 4-channel tetrahedral microphone array with a radius of 4.2 cm. The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.</p> <p>The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.</p>
MEFI Theory: The Grand Symmetry of the Universe
<div> </div> <div>Title:</div> <div>MEFI Theory: The Grand Symmetry of the Universe</div> <div> </div> <div>Abstract:</div> <div>This paper introduces the MEFI Theory (Modified Einstein Field Interaction), a revolutionary framework that unveils the Grand Symmetry of the Universe. MEFI theory builds upon Einstein’s field equations, proposing a universal model in which the forces governing quantum interactions and cosmic dynamics are fundamentally linked by a single unifying principle.</div> <div> </div> <div>Through a series of meticulously crafted simulations, MEFI theory demonstrates how self-similar patterns, waveforms, and energy propagations manifest uniformly across all scales, from the subatomic to the cosmic. The study explores:</div> <div> </div> <div>• Quantum-to-Cosmic Energy Propagation: Showcasing how energy inputs at the quantum scale propagate seamlessly through to large cosmic structures.</div> <div>• Fractal Emergence: Revealing fractal patterns under dark field compression, illustrating the natural symmetry from quantum interactions to galaxy formations.</div> <div>• Oscillatory and Waveform Scaling: Demonstrating the consistency of oscillations and waveforms across scales, from particle interactions to cosmic waveforms.</div> <div>• Cosmic Feedback Loops: Simulating the feedback between quantum-level interactions and large-scale cosmic systems, highlighting the interconnectedness of all systems.</div> <div>• Holographic Principle: Modeling how quantum systems encode information that projects onto larger cosmic structures, supporting the idea of a unified field.</div> <div>• Universal Resonance Frequencies: Identifying the resonance frequencies that are constant across all scales, reinforcing the concept of a deeply connected universe.</div> <div> </div> <div>These simulations provide compelling visual evidence that MEFI theory explains the scale-invariant nature of the forces shaping the universe. By modifying Einstein’s field interactions, this theory proposes that the same governing principles apply consistently at all levels of reality—from the smallest particles to the largest cosmic structures. The Grand Symmetry of the Universe is not merely a theoretical insight but a law of nature that binds the cosmos together, ensuring harmony and coherence across all scales.</div> <div> </div> <div>Keywords:</div> <div>MEFI theory, Modified Einstein Field Interaction, grand symmetry, dark field compression, quantum interactions, cosmic dynamics, fractal patterns, holographic principle, universal resonance, scale-invariance, unified forces.</div> <p> </p> <p> </p> <p>Sincerely,</p> <p>Steven Greenmyer</p>
Hacettepe University Event (HUE) Dataset - Driving - Part 1
<p>Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in diverse and challenging low-light conditions. Our dataset includes 106 sequences, encompassing indoor, cityscape, twilight, night, driving, and controlled scenarios, each carefully recorded to address various illumination levels and dynamic ranges. Utilizing a hybrid RGB and event camera setup. we collect a dataset that combines high-resolution event data with complementary frame data. We employ both qualitative and quantitative evaluations using no-reference metrics to assess state-of-the-art low-light enhancement and event-based image reconstruction methods. Additionally, we evaluate these methods ona a downstream object detection task. Our findings reveal that while event-based methods perform well in specific metrics, they may produce false positives in practical applications. This dataset and our comprehensive analysis provide valuable insights for future research in low-light vision and hybrid camera systems. </p>
Hacettepe University Event (HUE) Dataset - Indoor - Part 2
<p>Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in diverse and challenging low-light conditions. Our dataset includes 106 sequences, encompassing indoor, cityscape, twilight, night, driving, and controlled scenarios, each carefully recorded to address various illumination levels and dynamic ranges. Utilizing a hybrid RGB and event camera setup. we collect a dataset that combines high-resolution event data with complementary frame data. We employ both qualitative and quantitative evaluations using no-reference metrics to assess state-of-the-art low-light enhancement and event-based image reconstruction methods. Additionally, we evaluate these methods on a downstream object detection task. Our findings reveal that while event-based methods perform well in specific metrics, they may produce false positives in practical applications. This dataset and our comprehensive analysis provide valuable insights for future research in low-light vision and hybrid camera systems. </p>
Hacettepe University Event (HUE) Dataset - Controlled
<p>Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in diverse and challenging low-light conditions. Our dataset includes 106 sequences, encompassing indoor, cityscape, twilight, night, driving, and controlled scenarios, each carefully recorded to address various illumination levels and dynamic ranges. Utilizing a hybrid RGB and event camera setup. we collect a dataset that combines high-resolution event data with complementary frame data. We employ both qualitative and quantitative evaluations using no-reference metrics to assess state-of-the-art low-light enhancement and event-based image reconstruction methods. Additionally, we evaluate these methods on a downstream object detection task. Our findings reveal that while event-based methods perform well in specific metrics, they may produce false positives in practical applications. This dataset and our comprehensive analysis provide valuable insights for future research in low-light vision and hybrid camera systems. </p>
Hacettepe University Event (HUE) Dataset - Twilight - Part 2
<p>Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in diverse and challenging low-light conditions. Our dataset includes 106 sequences, encompassing indoor, cityscape, twilight, night, driving, and controlled scenarios, each carefully recorded to address various illumination levels and dynamic ranges. Utilizing a hybrid RGB and event camera setup. we collect a dataset that combines high-resolution event data with complementary frame data. We employ both qualitative and quantitative evaluations using no-reference metrics to assess state-of-the-art low-light enhancement and event-based image reconstruction methods. Additionally, we evaluate these methods on a downstream object detection task. Our findings reveal that while event-based methods perform well in specific metrics, they may produce false positives in practical applications. This dataset and our comprehensive analysis provide valuable insights for future research in low-light vision and hybrid camera systems. </p>
Hacettepe University Event (HUE) Dataset - City - Part 1
<p>Low-light environments pose significant challenges for image enhancement methods. To address these challenges, in this work, we introduce the HUE dataset, a comprehensive collection of high-resolution event and frame sequences captured in diverse and challenging low-light conditions. Our dataset includes 106 sequences, encompassing indoor, cityscape, twilight, night, driving, and controlled scenarios, each carefully recorded to address various illumination levels and dynamic ranges. Utilizing a hybrid RGB and event camera setup. we collect a dataset that combines high-resolution event data with complementary frame data. We employ both qualitative and quantitative evaluations using no-reference metrics to assess state-of-the-art low-light enhancement and event-based image reconstruction methods. Additionally, we evaluate these methods on a downstream object detection task. Our findings reveal that while event-based methods perform well in specific metrics, they may produce false positives in practical applications. This dataset and our comprehensive analysis provide valuable insights for future research in low-light vision and hybrid camera systems. </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.