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1,211 results for “instrument”
Geophysical survey of Peninsula Point, NWT, Canada, using Tromino® 3G ENGY instruments, 310719 – 030819.
<p>This is a survey over the changing topography of a massive ice type site, Peninsula Point (UTM 8N 573400, 7701000), within the Canadian National Landmark, NWT, Canada. These data can be used as a reference for future such studies to assess massive ground ice presence. This dataset contains the survey data from Tromino® 3G ENGY instruments, collected from 310719 – 030819. The project files contain the metadata of each instrument position in UTM and acquisition times. Data were collected by Northumbria University and Natural Resources Canada.</p>
Total Arctic sea ice extent during the Instrumental Era
<p>This dataset contains six different reconstructions of total Arctic sea ice extent during the Instrumental Era. These reconstructions were produced using data assimilation of climate model output and temperature observations. The prior ensembles were drawn from climate model output from both the Community Climate System Model version 4 (CCSM4, Last Millennium simulation Landrum et al., 2013) and Max Planck Institute for Meteorology (MPI-ESM-P, Last Millennium simulation Taylor et al., 2012). Temperature observations were drawn from three different products: 25 HadCRUT, Berkeley Earth (BE, Rohde et al., 2013), and NASA Goddard Institute for Space Studies 26 (GISTEMP, Hansen et al., 2010). These reconstructions are published in Brennan et al. (2020). </p> <p>Brennan, M. K., Hakim, G. J., & Blanchard-Wrigglesworth, E. (2020). Arctic sea-ice variability during the instrumental era. Geophysical Research Letters, 47, e2019GL086843. https:// doi.org/10.1029/2019GL086843</p>
IODP Expedition 362 Rig instrumentation
<p>Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.</p>
All single period stimuli for the low-instrument experiment
<p>All single period stimuli for low-instrument experiment by Jussi Jaatinen and Jukka Pätynen.</p>
Miniaturizing photonic instruments for sensing
<p>On October 5, 2020, the sixth Scientific Online Lecture of the IPANEMA project was organized. The lecture has been given by Prof. Dr Ibrahim Abdulhalim from the <a href="https://www.photonicsys.com/">PhotonicSys</a>. Through this lecture, IPANEMA researchers were able to learn more about using Smart Phones as a tool for miniaturization.</p> <p> </p> <p> </p>
bsafdi/XMM_BSO_DATA: Instrument Responses
<p>A repository containing the instrument responses for the analysis used in <a href="https://arxiv.org/abs/2102.02207">2102.02207</a>. The remainder of the data can be found on <a href="https://github.com/bsafdi/XMM_BSO_DATA">the paper's github</a>, along with additional supplementary data.</p> <p>The response files are stored in the <a href="https://www.h5py.org/">h5py</a> format. TThere are two files, <code>XMM-BSO-dataset-MOS.hdf5</code> and <code>XMM-BSO-dataset-PN.hdf5</code>, which store the MOS and PN data, respectively. Within each file there are 30 rings, accessed with keys <code>ring_[1-30]</code>. The instrument response is provided with key <code>dtr</code> in [cm^2]. Additional information may be found in the github README.</p>
Data from: Calculating the ecological impacts of animal-borne instruments on aquatic organisms
1. Animal-borne instruments provide researchers with valuable data to address important questions on wildlife ecology and conservation. However, these devices have known impacts on animal behaviour and energetics. Tags deployed on migrating animals may reduce reproductive output through increased energy demands or cause phenological mismatches of foraging and nesting events. For marine organisms, the only tagging guidelines that exist are based on lift and thrust impacts on birds – concepts that do not translate well to aquatic animals. Herein, we provide guidelines on assessing drag from animal-borne instruments and discuss the ecological impacts on marine organisms. Of particular concern is the effect of drag from instruments to the welfare of the animals and for the applicability of collected data to wild populations. 2. To help understand how drag from electronic tags affects marine animals in the wild, we used marine turtles as model aquatic organisms and conducted wind tunnel experiments to measure the fluid drag of various marine turtle body types with and without commercially available electronic tags (e.g. satellite, TDR, video cameras). We quantified the drag associated with carrying biotelemetry devices of varying frontal area and design (squared or tear drop shaped) and generated contour plots depicting percentage drag increase as a framework for evaluating tag drag by scientists and wildlife managers. Then, using concepts of fluid dynamics, we derived a universal equation estimating drag impacts from instruments across marine taxa. 3. The drag of the marine turtle casts was measured in wind speeds from 2 to 30 m s−1 (Re 3·0 × 104–1·9 × 106), equivalent to 0·1–1·9 m s−1 in seawater. The drag coefficient (CD) of the marine turtles ranged from 0·11 to 0·22, which is typical of other large, air-breathing, marine vertebrates (0·08–0·26). The CD of tags in reference to the turtle casts was 0·91 ± 0·18 and most tags caused minimal additional drag (<5%) to adult animals, but the same devices increased the drag for juveniles significantly (>100%). The sensitivity of aquatic animals to instrument drag is a dynamic relationship between the fluid flow patterns, or CD, and the frontal area ratio of the animal and tag. 4. In this paper, we have outlined methods for quantifying the drag costs from animal-borne instrumentation considering the instrument retention time (time to release from the animal) and the activity of the instrumented animal. With this valuable tool, researchers can quantify the drag costs from animal-borne instrumentation and choose appropriate tags for their intended study organism and question. Reducing drag will ultimately reduce the impact on the instrumented animals and lead to greater biological realism in the collected data.
Data from: NREM2 and sleep spindles are instrumental to the consolidation of motor sequence memories
Although numerous studies have convincingly demonstrated that sleep plays a critical role in motor sequence learning (MSL) consolidation, the specific contribution of the different sleep stages in this type of memory consolidation is still contentious. To probe the role of stage 2 non-REM sleep (NREM2) in this process, we used a conditioning protocol in three different groups of participants who either received an odor during initial training on a motor sequence learning task and were re-exposed to this odor during different sleep stages of the post-training night (i.e., NREM2 sleep [Cond-NREM2], REM sleep [Cond-REM], or were not conditioned during learning but exposed to the odor during NREM2 [NoCond]). Results show that the Cond-NREM2 group had significantly higher gains in performance at retest than both the Cond-REM and NoCond groups. Also, only the Cond-NREM2 group yielded significant changes in sleep spindle characteristics during cueing. Finally, we found that a change in frequency of sleep spindles during cued-memory reactivation mediated the relationship between the experimental groups and gains in performance the next day. These findings strongly suggest that cued-memory reactivation during NREM2 sleep triggers an increase in sleep spindle activity that is then related to the consolidation of motor sequence memories.
Psychometric Properties of an Instrument Measuring Mon-keypox Knowledge, Perception, and Beliefs of Health Threat in Health Science Students in a Middle-Income Country
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Calibration Data for "Sycamore" instrument in Lee Lab, Cambridge; Prime95B sCMOS cameras, Gain 3
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Rabbit's spinal surgical videos using two types of instruments
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Impulse dispersion of aerosols during playing wind instruments
<p>The data includes video recordings in MP4 format.</p>
Supplementary material 13 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Group 5: Hal-Ferħ area
Supplementary material 12 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Group 4: Ta' Qali Commercial Area
Supplementary material 10 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Group 1: Ta' Qali Commercial Area
Supplementary material 9 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Instruments for NbS design
Supplementary material 7 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Urban green spaces, health and socio-environmental justice in cities
Supplementary material 6 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Ecological succession and vegetation assemblages in a Mediterranean climate
Supplementary material 8 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
NbS and performance-based planning
Supplementary material 11 from: Tomaskinova J, Geneletti D, Dicks LV, Grace M, Collier M, Longato D, Stoev P, Sapundzhieva A, Balzan MV (2021) Capacity-building as an instrument to foster the implementation of nature-based solutions. Research Ideas and Outcomes 7: e77666. https://doi.org/10.3897/rio.7.e77666
Group 3: Marsa Sports Complex
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.