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3 results for “Opensource”
SKYSPECTRA: an opensource data package for worldwide spectral daylight
<p>SKYSPECTRA is an open-source data package comprising spectral daylight measurements collected from various sources worldwide. The dataset encompasses measurements from both long-term measurement sites and specific periods or experiments. </p> <h2>Terms of use</h2> <p>For use of the dataset in research cite the paper titled <strong>skyspectra: an opensource data package of worldwide spectral daylight, </strong>presented at the CIE conference 2023, Slovenia, September 18-20 2023. The paper details the schema of the data package and will be publicly available soon.</p> <blockquote> <p><strong>Balakrishnan, P.</strong>, Diakite-Kortlever, A., Dumortier, D., Hernández-Andrés, J., Kenny, P., Maskarenj, M., Pierson, C., Thorseth, A., Xue, P., & Knoop, M. (2023). <em>SKYSPECTRA: An Opensource Data Package of Worldwide Spectral Daylight</em>. In <em>Proceedings of 30th session of CIE Conference, </em>15–23 September 2023. Ljubljana, Slovenia. DOI:10.25039/x50.2023.OP026</p> </blockquote> <div> <div> <div> <h2>Funding </h2> <div> <div> <div> <p>This project is funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Individual Fellowship (grant agreement No. 101032279)</p> <h2>Data availability </h2> <ul> <li>Measurement data is between <code>360 nm to 800 nm</code> wavelength</li> <li>Timestamps with solar elevation angle <code>equal to or above 15 degrees</code></li> <li>Timestamps for two dates in the months of <code>March, June, September, and December</code> (when available)</li> <li>Timestamps with <code>clear and overcast sky conditions</code> (when available)</li> <li>Locations-<code>Berlin, Beijing, Granada, Singapore, Vaulx en Velin</code> (updates of other locations are ongoing) </li> </ul> <h2>Data structure </h2> <p>Measurement datasets include four data frames or tables in .csv format, each representing a distinct type of spectral daylight measurements.</p> <ul> <li><code><strong>spectral_horizontal_irradiance.csv:</strong></code> spectral irradiance measurements of global and diffuse visible radiation recorded on a horizontal plane</li> <li><code><strong>spectral_tilt_irradiance.csv:</strong> </code>spectral irradiance measurements of global and diffuse visible radiation recorded on a tilted plane (not available currently)</li> <li><code><strong>spectral_patch_radiance.csv:</strong></code> spectral radiance measurements of visible radiation from patches of sky</li> <li><strong><code>spectral_direct_irradiance.csv:</code></strong> spectral irradiance measurements of visible radiation directly from the sun</li> </ul> <p>Supplementary datasets include four data frames or tables in .csv format, each representing additional information for each measurement. </p> <ul> <li><code><strong>meta_location.csv:</strong></code> information about the geographical location and immediate environment of where the measurements were taken</li> <li><code><strong>meta_weather.csv:</strong></code> information on sky conditions when the measurements were taken.</li> <li><code><strong>meta_sun_positions.csv:</strong></code> information about sun angles and true solar time when the measurements were taken.</li> <li><strong><code>meta_measurement_parameters.csv:</code></strong> information about specific measurement parameters used for each measurement.</li> </ul> <h2>Data collection</h2> <p>This data package contains a subset of the worldwide spectral daylight measurements collected to explore geographic variations in daylight spectral characteristics, an ongoing effort led by the CIE Technical Committee (TC 3-60). For more information on the data collection process and the templates used refer to the paper <em>skyspectra: an opensource data package of worldwide spectral daylight </em>mentioned above. </p> </div> </div> </div> </div> </div> </div>
Opensource metadatabase for the PATTERN case studies
<p>The PATTERN project is a collaborative effort between numerous scientific and non-scientific partners to collect and analyze data related to environmental and climate policy evaluation. With each partner collecting their data, it is essential to have a centralized repository of information that describes the structure, content, and context of the data being collected. This is where Deliverable 3.1 comes into play. By having a metadatabase, the PATTERN project will be able to (1) ensure consistency, (2) facilitate data sharing, and (3) enhance data quality by better monitoring. This metadatabase will enable partners within the PATTERN project to manage and share data in a more effective way. </p> <p>Reference: Opensource metadatabase for the PATTERN case studies. 2023. Anougmar, S., Van Schoubroeck, S., Lakanen, L., Halonen, V., Jouzi, F., Claudelin, A., Pisciella. P. </p>
ImmGen ULI: OpenSource Mononuclear Phagocytes Project
GEO Series GSE122108. Mus musculus. 412 samples. Type: Expression profiling by high throughput sequencing.
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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.