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743
datasets available to search
ShareScore release 0.9.0
Dataset results
743 results for “Drop”
OT-551 Antioxidant Eye Drops to Treat Geographic Atrophy in Age-Related Macular Degeneration
ClinicalTrials.gov study NCT00306488. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Single Dose Study of Phentolamine Mesylate Eye Drops in Patients With Severe Night Vision Disturbances
ClinicalTrials.gov study NCT04004507. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Topical Proparacaine Eye Drops to Improve the Experience of Patients Undergoing Intravitreal Injections
ClinicalTrials.gov study NCT02951351. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Safety and Efficacy Study of New Eye Drop Formulations With Refresh Tears® in Patients With Dry Eye Disease
ClinicalTrials.gov study NCT01294384. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Cysteamine Eye Drops to Treat Corneal Crystals in Cystinosis
ClinicalTrials.gov study NCT00001213. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Polihexanide (PHMB) Eye Drops in Patients Affected by Acanthamoeba Keratitis
ClinicalTrials.gov study NCT03274895. IPD Sharing: Not stated. Countries: 3. Publications: 3.
A Study to Compare the Safety and Efficacy of a New Eye Drop Formulation With REFRESH PLUS® in Participants Following LASIK Refractive Surgery
ClinicalTrials.gov study NCT01886690. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Data from: A shift in the host web occupancy of dew‐drop spiders associated with genetic divergence in the Southwest Pacific
Open the record for dataset details and reuse information.
Drop it all: Extraction-free detection of non-indigenous marine species through optimized direct-droplet digital PCR
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From crypsis to masquerade: ontogeny changes the colour defences of a crab spider hiding as bird droppings
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Single-cell Herpes simplex virus type-1 infection of neurons using drop-based microfluidics reveals heterogeneous replication kinetics
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Data from: Males that drop a sexually-selected weapon grow larger testes
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Data from: Temporal drop of genetic diversity in Bombus pauloensis
Bumblebees are economically important insects which perform essential pollination tasks in natural and managed ecosystems. Recent research studying Neotropical bumblebee species in Brazil showed a clear decrease in genetic diversity over time in Bombus pauloensis. A new temporal assessment of genetic diversity is needed to know whether this was a location specific result, or a more general phenomenon. This knowledge is essential to be able to prioritize conservation and management needs. Here, the genetic variability of B. pauloensis populations in Argentina was investigated over time using museum collection specimens from 1933 to 2016, and compared with reanalyzed data from Brazilian populations. Furthermore, specific time series were made for two Argentinean locations: Candelaria and La Plata, and compared with the time series of Porto Alegre (Brazil). All collected specimens were genotyped with 16 microsatellite loci to estimate genetic diversity parameters. Our results showed no drop in either allelic richness or expected heterozygosity over all Argentinean populations. However, a clear drop in genetic diversity was observed in two out of three location specific time series. This loss of diversity will have negative impacts on population survival, especially over longer periods of time. Furthermore, the use and release of mass-reared specimens of B. pauloensis, which may be inbred and specifically selected for certain commercial but non-adaptive traits, could further diminish the genetic pool. Thus, our result implies the urgent need for regional conservation policies of B. pauloensis in South Brazil and North Argentina.
EMUE-RMG-2-Pressure drop measurement
<p>Pressure Drop Measurement</p> <p>This example demonstrates how correlations can sometimes be removed from an uncertainty evaluation by modifying the measurement equation so that strongly correlated quantity estimates do not appear together. This is demonstrated by an example considering the pressure drop in a pressurised vessel, in which the effect of correlation between temperature measurements is removed. In this example the uncertainty associated with an estimate of pressure drop is appreciably smaller when correlation is taken into consideration.</p> <p>Files contained in dataset are:</p> <ul> <li>EMUE-RMG- Pressure drop measurement – UKAS.pdf,</li> <li>EMPIR.jpg- figure file,</li> <li>EMUELogo-03.jpg- figure file,</li> <li>Example_A.tex: LaTeX file to be compiled in order to produce EMUE-RMG- Pressure drop measurement – UKAS.pdf,</li> <li>MCMandGUMnewWithCorr.jpg: figure file,</li> <li>MCMandGUMnewWithoutCor.jpg: figure file,</li> <li>reference.bib: bibliography file,</li> <li>Compendium.bib: bibliography file,</li> <li>GUM_WithCorrelations.mat /GUM_WithoutCorrelations.mat: MATLAB function that calculates measurement uncertainty by following the GUM principle (with or without correlations),</li> <li>GUMSupp1_WithCorrelations.mat /GUMSupp1_WithoutCorrelations.mat: MATLAB function that calculates measurement uncertainty by following GUM Supplement 1 principle (with or without correlations),</li> <li>InputData_WithCorrelations.mat /InputData_WithoutCorrelations.mat: MATLAB function for input data (with or without correlations),</li> <li>PlotGUM_WithCorrelations.mat /PlotGUM_WithoutCorrelations.mat: MATLAB function for plotting the results (with or without correlations),</li> <li>PlotGUMAndMCM_WithCorrelations.mat /PlotGUMAndMCM_WithoutCorrelations.mat: MATLAB function for plotting the results (with or without correlations),</li> <li>Results_WithCorrelations.mat /Results_WithoutCorrelations.mat: MATLAB function for displaying the results (with or without correlations),</li> <li>SetFormattingSymbols_WithCorrelations.mat /SetFormattingSymbols_WithoutCorrelations.mat: MATLAB function for setting formatting symbols,</li> <li>UKASPressureDropExample_WithCorrelations.mat /UKASPressureDropExample_WithoutCorrelations.mat: Model developed in MATLAB that calculates estimated pressure drop and the associated measurement uncertainty (GUM and Monte Carlo method). One file calculates the uncertainties with and the other without correlations. These files use MATLAB functions (developed for this example) that are listed above: SetFormattingSymbols, InputData, GUM, GUMSupp1, Results, PlotGUMAndMCM, PlotGUM.</li> </ul>
Drop vertical jump biomechanics following exercise induced muscle damage
<p>Drop vertical jump biomechanical data 0h and 48h following eccentric exercise induced muscle damage of the knee extensors.</p>
FIGURE 15 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURE 15. The maximum likelihood tree showing phylogenetic relationships among four Megaxyela species and four outgroup taxa (-ln likelihood = 2913.5317). Numbers on branches indicate bootstrap values for MP and ML analyses (shown only for higher nodes with>50). Each terminal label represents the GenBank accession number for COI gene sequence. Larval samples are marked with an asterisk.
FIGURES 24–26. Megaxyela togashii. 24 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 24–26. Megaxyela togashii. 24, Late instar larva, Ashoro Town, June 30, 2010 (arrows: borders of segments; T1– T3: thoracic segments 1–3; A1–5: abdominal segments 1–5; 1–4: 1st to 4th annulets of abdominal segments 3 and 4); 25, late instar larva from Kihoku Town (sample no. 766), May 9, 2016, caudal abdominal segments, caudal view (A9, A10: abdominal segments 9, 10); 26, same larva, second and third thoracic segments, dorsal view (arrows: borders of segments; T1–T3: thoracic segments 1–3; 1–4: 1st to 4th annulets of thoracic segments 2 and 3). All photographed by A. Shinohara.
FIGURES 16–23. Megaxyela togashii. 16 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 16–23. Megaxyela togashii. 16, Live mature larva from Tatsuno City (sample no. 762), May 4, 2016 (arrows: borders of segments; T1–T3: thoracic segments 1–3; A1–10: abdominal segments 1–10); 17–23, alcohol-preserved mature larva from Kihoku Town (sample no. 765), fixed May 9, 2016; 17, head, frontal view; 18, left antenna, lateral view; 19, right mandible, lateral view (pt: posterior tooth); 20, right mandible, frontal view (pt: posterior tooth); 21, left mandible frontal view; 22, apical part of abdomen (arrows: borders of segments; A8–10: abdominal segments 8–10; 1–4: 1st to 4th annulets of abdominal segment 8); 23, anterior part of abdomen (arrows: borders of segments; A2–4: abdominal segments 2–4; 1–4: 1st to 4th annulets of abdominal segments 3 and 4; ssl: subspiracular lobe; spl: surpedal lobe). All photographed by A. Shinohara.
FIGURES 8–14. Megaxyela togashii. 8 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 8–14. Megaxyela togashii. 8, Leaflet of Juglans ailanthifolia with larva of M. togashii, Ashoro Town, June 30, 2010; 9, same larva, matured, July 2, 2010; 10, mature larva, Shintoku Town, June, 28, 2011; 11, leaflet of J. ailanthifolia with larva of M. togashii, Tatsuno City, April 30, 2016; 12, late instar larva, Kihoku Town, May 8, 2016; 13, another late instar larva, Kihoku Town, May 8, 2016; 14, dead and dried pupa with cast larval skin from Sapporo City, matured June 24, 2013, found in earthen cell in 2016. Photographed by A. Shinohara (8, 9, 11–14) and H. Hara (10).
FIGURES 1–7 in Bird droppings on chestnut leaves or sawfly larvae: DNA barcodes verify the occurrence of the archaic Megaxyela togashii (Hymenoptera, Xyelidae) in Hokkaido, Japan
FIGURES 1–7. Megaxyela togashii (1–5) and M. sp. (6, 7). 1, Leaflet of Juglans ailanthifolia with egg of M. togashii (arrowed), Tatsuno City, April 30, 2016; 2, same, close-up of egg; 3, newly hatched larva and remains of egg shell, May 1, 2016; 4, close-up of remains of egg shell, May 2, 2016; 5, early instar larva, May 2, 2016; 6, early instar larva and egg shelter with exit hole (arrowed), Mt. Odaesan, June 15, 2010; 7, egg shelter formed at apical part of leaflet, Mt. Odaesan, June 15, 2010. All photographed by A. Shinohara.
ScienceDex guides
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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.