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.
10,016
datasets available to search
ShareScore release 0.9.0
Dataset results
10,016 results for “Observation”
The electrical activity of Saharan dust as perceived from surface electric field observations: Field Mill Datasets
<p>Electric Field Mill time series used for the reproduction of the results in the following manuscript:</p> <p><strong>"The electrical activity of Saharan dust as perceived from surface electric field observations" - accepted in ACP</strong></p> <p>Authors: Vasiliki Daskalopoulou, Sotirios A. Mallios, Zbigniew Ulanowski, George Hloupis, Anna<br> Gialitaki, Ioanna Tsikoudi, Konstantinos Tassis and Vassilis Amiridis</p>
Dataset for "Observations of new particle formation, modal growth rates, and direct emissions of sub-10 nm particles in an urban environment"
<p>Dataset for "Observations of new particle formation, modal growth rates, and direct emissions of sub-10 nm particles in an urban environment". Each directory contains a README.md including descriptions in Markdown format.</p>
Data from: Headache study: The management of chronic headache with referral from primary care to direct access to Magnetic Resonance Imaging (MRI) compared to Neurology services: an observational prospective study in London
<p><b>Objectives</b>. To evaluate the cost, accessibility and patient satisfaction implications of two clinical pathways used in the management of chronic headache.</p> <p><b>Intervention</b>. Management of chronic headache following referral from Primary Care that differed in the first appointment, either a Neurology appointment or an MRI brain scan.</p> <p><b>Design and setting</b>. A pragmatic, non-randomised, prospective, single-center study at a Central Hospital in London.</p> <p><b>Participants. </b>Adult patients with chronic headache referred from Primary to Secondary Care.</p> <p><b>Primary and secondary outcome measures.</b> Participants' use of health care services and costs were estimated using primary and secondary care databases and questionnaires quarterly up to 12 months post-recruitment. Cost analyses were compared using generalised linear models (GLM). Secondary outcomes assessed: access to care, patient satisfaction, headache burden and self-perceived quality of life using headache-specific (MIDAS, HIT-6) and a generic questionnaire (EQ-5D-5L).</p> <p><b>Results. </b>Mean (SD) cost up to 6 months post-recruitment per participant was £578 (£420) for the Neurology group (n=128) and £245 (£172) for the MRI group (n=95), leading to an estimated mean cost difference of £333 (95% CI £253 to £413, p<0.001). The mean cost difference at 12 months increased to £518 (95% CI £401 to £637, p<0.001). When adjusted for baseline and follow-up imbalances between groups, this remained statistically significant. The utilisation of brain MRI improved access to care compared to the Neurology group (p<0.001). Participants in the Neurology group reported higher levels of satisfaction associated with the pathway and led to greater change in care management.</p> <p><b>Conclusion. </b>Direct referral to brain MRI from Primary Care led to cost-savings and quicker access to care but lower satisfaction levels when compared with referral to Neurology services. Further research into the use of brain MRI for a subset of patient population more likely to be reassured by a negative brain scan should be considered.</p>
Datensatz zur Bestimmung des ILRS-Referenzpunktes am Satellite Observing System Wettzell
<p>Die Kombination von geodätischen Raumtechniken ist essentiell für die Bestimmung eines globalen geodätischen Referenzrahmens sowie von Erdrotationsparametern. Eine direkte Verknüpfung der unterschiedlichen Raumtechniken ist aufgrund der geringen physischen Verknüpfungen nicht ohne Zusatzinformationen sinnvoll möglich. Eine Schlüsselrolle spielen hierbei lokale Verbindungsvektoren (Local-Ties), die zwischen den geometrischen Referenzpunkten der Raumtechniken definiert sind. Diese Verbindungsvektoren lassen sich an Forschungseinrichtungen wie dem Geodätischen Observatorium Wettzell durch präzise terrestrische Vermessung bestimmen. Eine besondere Herausforderung stellen hierbei die Referenzpunkte von VLBI-Radio- und SLR-Laserteleskopen dar, da diese nicht materialisiert und direkt taktil bestimmt werden können.<br> In diesem Beitrag wird eine indirekte Methode zur Bestimmung des geometrischen Referenzpunktes eines VLBI-Radio- bzw. SLR-Laserteleskopes vorgestellt. Das entwickelte Modell erlaubt eine automatisierte und prozessbegleitende messtechnische Erfassung aller relevanten Größen. Der neue Modellansatz erfordert darüber hinaus keine Synchronisation zwischen dem Messinstrument und dem Teleskop, sodass Messunsicherheiten minimiert werden. Eine erfolgreiche Validierung erfolgte 2018 am Satellite Observing System Wettzell, bei der die Datenerhebung vollständig automatisiert mit dem Lasertracker AT401 durchgeführt wurde, und der Referenzpunkt mit einer Unsicherheit von 50 μm bestimmt werden konnte.</p>
Mixing ratios and FRFs of ODSs observed in air samples from research aircraft campaigns in 2016 and 2017
<p>This data set consists of mixing ratios and fractional release factors of ozone-depleting substances measured in air samples collected during research aircraft campaigns in 2016 and 2017 which were both sampling air masses related to the upper part of the Asian Summer Monsoon and above. These activities were part of the EU Stratoclim-603557 project and a corresponding manuscript has been submitted to the journal JGR Atmospheres. This version also includes the supplement of that manuscript.</p>
Equatorial pitch angle distributions of 1 – 50 keV electrons in Earth's inner magnetosphere: an empirical model based on the Van Allen Probes observations
<p>This dataset contains the parameters of the pitch angle distribution model of 1 – 50 keV electrons, constructed using data from the HOPE instrument on the Van Allen Probes A using method described in the manuscript, along with the example IDL programs to read in model coefficients and plot out the model PADs.</p>
Intrinsic elastic anisotropy of Westerly granite observed by ultrasound measurements, microstructural investigations and neutron diffraction
<p>Westerly granite (WG) has been accepted as an isotropic homogeneous rock. Here we return to WG and observe significant elastic anisotropy using multidirectional ultrasonic sounding on spherical samples at pressures up to 400 MPa. Thermal treatment of WG leads to formation of microcracks that reduce elastic wave velocities and increase its elastic anisotropy. The 3D distribution of P-wave velocities at low pressure is close to orthorhombic symmetry. Application of hydrostatic pressure closes most of thermally induced microcracks and decreases elastic anisotropy of WG, but at high pressure the anisotropy is practically reversed compared to low pressure: maximum P-wave velocity direction at low pressures is near minimum velocity direction at high pressure and vice versa. To understand this effect, microstructures of the rock were investigated by optical and scanning electron microscopy. Preferred orientations of four major rock-forming minerals – quartz, orthoclase, plagioclase and biotite – were measured by time-of-flight neutron diffraction, which confirms significant crystal alignment. All these data were used to numerically model anisotropic elastic properties of WG. It is shown that WG possesses weak intrinsic elastic anisotropy related mainly to the preferred orientation of feldspars formed during igneous crystallization. Observed microcracks are mostly related to the cleavage planes of feldspars and biotite, and thus also demonstrate preferred orientation. Higher preheating temperatures produce larger quantity of longer microcracks. These microcracks act against the weak intrinsic elastic anisotropy of WG, and define the elastic anisotropy at low pressures.</p>
Data for "Martian oxygen and hydrogen upper atmospheres responding to solar and dust storm drivers: Hisaki space telescope observations"
<p>Data files (.npy) and python codes (.ipynb) to produce the figures in the paper.</p> <p>Download the zip file (dataforfigures_v2.zip), open plot_figX.ipynb with Jupyter notebook, and run it.</p> <p> </p>
Observational signal of the interaction between mountain–plain wind and urban breeze under weak synoptic systems
<p>The dataset contains all material involved in figure4a, figure4b, figure5, figure6, figure7 and figure8. There are six data sheets in this xlsx file. Meteorological data acquired between 2013 and 2015 were used to investigate at Hangzhou. there are three key points: (1)Criteria to identify valley wind episodes from ground-based observations were proposed and evaluated. (2)Interactions between mountain–plain wind and urban breeze were found from surface observations.(3)The interaction can modulate the reversal times of diurnal mountain-plain winds.</p> <p>The data is including wind direction, wind speed and temperature with 5-min sampling. Every data sheet has a readme for a more detailed explanation, and you need to analyse them in combination with figures. </p>
Direct Observational Evidence of the Simultaneous Excitation of Electromagnetic Ion Cyclotron Waves and Magnetosonic Waves by an Anisotropic Ring Distribution
<p>dataset of "Direct Observational Evidence of the Simultaneous Excitation of Electromagnetic Ion Cyclotron Waves and Magnetosonic Waves by an Anisotropic Proton Ring Distribution"</p>
Data set - Lagrangian observations and modelling of turbulence along a tidally influenced river - Refined model
<p>The 'Dataset_Kaipara_Lagrangian_refined.mat' file contains Lagrangian observations collected in the Kaipara river and corresponding model predictions, after refinement of the model. </p> <p> </p> <p>The 'Kaipara_model_refined.mat' files contains the grid and bathymetry of a model of the Kaipara River, New Zealand, created notably in order to study turbulence in a Lagrangian frame of reference. </p>
Capability of super-spheroids for modeling PARASOL observations under dusty-sky conditions
<p>Data and Figure for paper 'Capability of super-spheroids for modeling PARASOL observations under dusty-sky conditions'</p>
Observed trends in the South Asian monsoon low-pressure systems and rainfall extremes since the late1970s
<p>LPS tracks for the manuscript "Observed trends in the South Asian monsoon low-pressure systems and rainfall extremes since the late1970s"</p>
Data from: Time to market for drugs approved in Canada between 2014-2018: an observational study
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objectives: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>This study examines the length of time between when a patent application is filed in Canada for a new drug and when it is available for patients (time to market) and various components of that time. It also looks at whether various factors explain the time between patent application to New Drug Submission and compares Canadian and American times. Drugs approved between January 1, 2014 and December 31, 2018 are examined. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Design: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>Descriptive study</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Data Sources: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>Websites from Health Canada, Food and Drug Administration, Merck Index, United States Patent and Trademark Office, World Health Organization and previously published articles.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Interventions: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>None</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Primary and Secondary Outcomes: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>The primary outcomes are time to market, time from patent application to New Drug Submission (pre-NDS time), review time, time from approval to availability (postapproval time) and factors that may influence the pre-NDS time. The secondary outcome is a comparison of Canadian and American review times and times between patent application and approval. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>There were 113 drugs available for analysis. The median time to market was 11.80 years (inter-quartile range (IQR) 9.40, 14.05). The component median times were pre-NDS 10.00 years (IQR 8.05, 12.80), review time 0.96 years (IQR 0.75, 1.15) and postapproval time 0.15 years (IQR 0.08, 0.28). Less than 8% of the pre-NDS time was explained by the factors that were analyzed in a multiple linear regression equation. There was no statistically significant difference between Canadian and American pre-NDS times. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusion: </b></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>On average, once a drug reaches the market companies have a median of 8.2 years before the patent expires and generics can reach the market. Most of the time between the filing of a patent application and when a drug is marketed is determined by decisions that are largely under the control of the company.</span></span></span></span></span></span></span></span></span></span></span></p>
ADV MODEX Observations
<p>Observations at the relevant points in the MODEX flume for ADV measurements. Experiment numbers are given in the relevant paper -- information to be released soon.</p>
Observations of AOD and GEOS-Chem simulation model output dataset
<p>Archive of observations of AOD (MODIS Deep Blue, MAIAC, AERONET) used to evaluate the simulations of using high resolution offline dust emission, upon submission of the following manuscript:</p> <p>Meng, Jun, R. V. Martin, P. Ginoux, M. Hammer, M. P. Sulprizio, D. A. Ridley, and A. van Donkelaar, Grid-independent high resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (version 12.5.0), Geoscientific Model Development, Submitted. </p> <p>This dataset can also be accessed via this FTP ftp://stetson.phys.dal.ca/jmeng/GMD_OfflineDust_data/ </p> <p>The folder "GMD_OfflineDust_data" contains three folders, "AERONET", "MODIS" and "GC_output", representing AERONET AOD, MODIS AOD and model outputs respectively. </p>
Figure Data for the paper: "Observation of the onset of a blue jet into the stratosphere"
<p>Data files for the figures in Neubert et al. (2019): "Observation of the onset of a blue jet into the stratosphere".</p> <p>The data is given per panel of the respective figure. Figure and panel are indicated in the file name.</p> <p>The photometer data is given as one time sequence without the separation in frames, while the camera data is stored per frame. The different frames have their own tab in the .xlsx files.</p> <p> </p> <p>More information on the data of this study is given in the main paper.</p>
In-water observations highlight the effects of provisioning on whale shark behaviour at the world's largest whale shark tourism destination
The whale shark is the world's largest fish that forms predictable aggregations globally, many of which support tourism industries. The largest non-captive provisioned whale shark destination globally is at Oslob, Philippines, where >500,000 tourists visit yearly. There, the sharks are provisioned daily, year-round, allowing the human-shark interaction in nearshore waters. We used in-water behavioural observations of whale sharks between 2015 and 2017 to understand the relationship between external stimuli and shark behaviour, whether frequency of visits at the site can act as a predictor of behaviour, and the tourist compliance to the code of conduct. Mixed effects models revealed that the number of previous visits at the site was a strong predictor of whale shark behaviour, and that provisioned sharks were less likely to exhibit avoidance. Compliance was poor, with 93% of surveys having people <2 m from the animal, highlighting overcrowding on whale sharks at Oslob. Given the behavioural implications to whale sharks highlighted here and the local community's reliance on the tourism industry, it is imperative to look into improving management strategies to increase tourist compliance and strive for sustainable tourism practices.
FIGURE 140 in Review of the genus Beckhoplia Dombrow, 2005 with the description of fifteen new species from South Africa and observations on its biogeography (Coleoptera: Scarabaeidae: Melolonthinae: Hopliini)
FIGURE 140. Distributions of 18 Beckhoplia Dombrow, 2005 species, showing the concentration of species around the Northern Cape town of Nieuwoudtville.
FIGURE 139 in Review of the genus Beckhoplia Dombrow, 2005 with the description of fifteen new species from South Africa and observations on its biogeography (Coleoptera: Scarabaeidae: Melolonthinae: Hopliini)
FIGURE 139. The winter-rainfall zone of South Africa (diagonal lines) spans across the Fynbos (dark shading) and Succulent Karoo (light grey shading) biomes. The core distribution area for Beckhoplia Dombrow, 2005 species is indicated by a rectangle to show it's regional context.
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.