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.
3
datasets available to search
ShareScore release 0.9.0
Dataset results
3 results for “spray distribution”
OPTIMA - spray distribution data - bed-grown carrots boom sprayer
<p>Spray distribution data of 13 nozzle configurations, consisting of different nozzle types (standard flat fan, air-inclusion, off-center), nozzle size (ISO 02, 04), spray angle (80°, 110°), and number of nozzles (3 or 4 nozzles per bed), at different nozzle heights and distance, spraying at 300 kPa. </p> <p>Read 'Info' tab for more information.</p> <p>Data presented in Zwertvaegher et al. (2022). Boom sprayer optimizations for bed-grown carrots at different growth stages based on spray distribution and droplet characteristics. Pest Management Science. https://onlinelibrary.wiley.com/doi/10.1002/ps.6792 </p>
Transversal distribution of a spray drone applying different nozzles and measuring methods
<h2><span>Abreviations: </span></h2> <p><span>One single measurement (flight of the drone on patternator, Water Sensitive paper or filter paper have been indicated as follows:</span></p> <p><span>Example “XR-1-P”: <span> </span>Nozzle – Repetition -<span> </span>Measuring Method</span></p> <p><span>Nozzle: 3 types of nozzles have been used XR, TXA, IDK</span></p> <p><span>Repetition: 1-3</span></p> <p><span>Measuring method: <strong>p</strong>atternator – <strong>w</strong>ater sensitive paper – <strong>f</strong>ilter paper</span></p> <p><span>So XR-1-P is the measurement with the XR nozzle, first repetition on patternator</span></p> <p><span> </span><strong><span>Distance cm</span></strong><span>: The distance indicates the length of the patternator, the water sensitive paper and the filter paper which ware all 600 cm. The single measuring length of the different methods were different. Patternator had 10 cm wide grooves, filter paper strips were 25 cm long and water sensitive paper strips were 20 cm long.</span></p> <p><strong><span> </span><span>Measuring methods </span></strong></p> <p><strong><span>P</span></strong><span>atternator used with 10 cm measuring width per cylinder. <br>Milliliters “ml” of liquid per cylinder are measured.</span></p> <p><strong><span>W</span></strong><span>ater Sensitive Paper: Coverage 1 = 100 % has been measured using image anlysis, 20 cm strips have been analysed</span></p> <p><strong><span>F</span></strong><span>ilter: Deposits on filter paper have been measured, recovery of the product (product/m2) is indicated in percents.</span></p> <h2><span>Standardisation of data to 20 cm units</span></h2> <p><span>Patternator: To standardise the original measuring length of 10 cm to 20 cm two measuring grooves of 10 cm just have been added.</span></p> <p><span> </span><span>Water sensitive paper: the original values of the 20 cm strips have been used</span></p> <p><span>Filter paper: New values (20 cm length) are calculated out of old values (25 cm length) attributing them the linear weight of the different length of the included measurements</span></p> <p><span>Value for 20 cm = value of original 25 cm value (FP25)</span></p> <p><span>Value for 40 cm = (FP25 * 5/20+FP50*15/20) (“5 cm of FP25 and 15 cm of FP50” are taken)</span></p> <p><span>Value for 60 cm =(FP50*10/20+FP75*10/20) (“10 cm of FP50 and 10 cm of FP75” are taken)</span></p> <p><span>Value for 80 cm =(FP75*15/20+FP100*5/20) (“15 cm of FP75 and 5 cm of FP100” are taken)</span></p> <p><span>Value for 100 cm = FP100</span></p> <p><span>and so on</span></p> <h2><span>Data standardised, Max. = 100 %</span></h2> <p><span>The maximum of each measurement was linearly standardised to 100 % to be able to compare the relative distributions of the different measurements.</span></p> <p><span>Shift of the curves: The curves were manually adjusted to have the maximum at 300 cm.</span></p>
Sensitivity of Pharmacokinetics to Differences in Particle Size Distribution of Suspension-based Nasal Sprays
ClinicalTrials.gov study NCT02588326. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.