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4 results for “particle retention”
Research data on pavement particle retention for D6.5
<p>We tested the hypothesis that porous asphalt would be able to retain more dust (including microplastics) in its pore network than conventional dense asphalt. Hence, the collection of pore dust was done on the four sections of the carousel to compare among pavements and according to the number of cycles. This is because the different sections will experience the same weather conditions, such as precipitation, wind speeds or dust deposits.</p><p>Dust was collected each time the carousel stopped (at 0, 20,000, 50,000, 100,000, 200,000, 500,000, 750,000 and 1,000,000 cycles) using a specially designed vacuum cleaner. This equipment was used thanks to a collaboration with CSIC. Based on the laboratory results, this equipment is able to recover the particles not only on the surface but also those inside accessible pores. The area vacuumed per section was initially 30 x 5 cm2, then 30 x 15 cm2 to increase the sample size. Samples were collected both in the wheel track area and in an outer ring separated from the circulated zone. The samples are weighted and referenced to the sampling area.</p><p>Collected dust samples were stored in individual containers and sent to the laboratory of the UC to process them by thermogravimetric analysis (TGA) and SEM for their microplastics contents. </p>
Dataset accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes"
<p>The dataset in this repository is accompanying the publication "Transport and retention of micro-Polystyrene in coarse riverbed sediments: Effects of flow velocity, particle and sediment sizes" (in Microplastics and Nanoplastics, 2023, submitted 09.06.2023)</p> <p>The repository contains the raw image files of all sample filters which were scanned using the fluorescence imaging system ChemiDoc and used to analyse the infiltration behaviour of microplastic polystyrene in the manuscript. In addition, we provide the resulting data from the particle identification and geometric analysis which were derived from the raw data using ImageJ in tabular excel format. The data is structured in folders following the naming of the columns from the manuscript.</p>
CoUDlabs_WP8_T831_AaU_001 Application of Large-Scale Particle Image Velocimetry (LSPIV) technique in Aalborg retention pond
<p>This dataset includes the data obtained during the installation of a camera system to determine the surface velocities in a retention pond monitored by Aalborg University (AAU). The dataset consists of raw and processed images and surface velocity maps obtained during preliminary experiments when the retention tank was being filled and emptied. The objective is to assess the feasibility and usefulness of this type of measurement for the calibration of CFD models to optimize the operation of the installation. The data presented may help to improve and assess imaging techniques in real conditions in urban environments.</p><p>The dataset is a result from the Joint Research Activity 3 (WP8, Improving Resilience and Sustainability in Urban Drainage solutions), Task 8.3.1. (Hydrodynamic design for stormwater detention ponds optimized for cost-efficient maintenance) within Co-UDlabs project, funded under the European Union's Horizon 2020 research and innovation program under grant agreement No 101008626. </p>
Effect of Calcium Supplement Particle Size and Vitamin D Supplement on Calcium Retention in Adolescent Girls
ClinicalTrials.gov study NCT01005381. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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.