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1,163 results for “demonstration”
Magnolia Warbler (Setophaga magnolia) flight calls demonstrate individuality and variation by season and recording location
<p><span>Flight calls are short vocalizations frequently associated with migratory behavior that may maintain group structure, signal individual identity, and facilitate intra- and interspecific communication. In this study, Magnolia Warbler (<em>Setophaga magnolia</em>) flight call characteristics varied significantly by season and recording location, but not age or sex, and an individual's flight calls were significantly more similar to one another than to calls of other individuals. To determine if flight calls encode traits of the signaling individual during migration, we analyzed acoustic characteristics of the calls from the nocturnally migrating Magnolia Warbler. Specifically, we analyzed calls recorded from temporarily captured birds across the northeastern United States, including Appledore Island in Maine, Braddock Bay Bird Observatory in New York, and Powdermill Avian Research Center in Pennsylvania to quantify variation attributable to individual identity, sex, age, seasonality, and recording location. Overall, our findings suggest that Magnolia Warbler flight calls may show meaningful individual variation and exhibit previously undescribed spatiotemporal variation, providing a basis for future research.</span></p>
Subset of Project FeederWatch data demonstrating observer shift
<p>This is a subset of data from the Project FeederWatch dataset, <a href="https://feederwatch.org/explore/raw-dataset-requests/">available on the their website</a>. This dataset is restricted to a 15 km radius around Washington, D.C., and includes observations from the most consistent observers. My GitHub repository, titled <a href="https://github.com/GatesDupont/observer_shift">observer_shift</a>, includes R scripts that processes the raw Project FeederWatch dataset and generates this data subset.</p>
Angley et al. AAC Demonstration Data
<p>The "Single-Case Graphs" file contains GraphPad Prism files for the data in Angley et al.'s paper in addition to the FCT pretraining and FCT evaluation graphs. The "Summary Graph" shows a bar graph depicting the percentage reduction of challenging behavior, accuracy of communication responses, and cooperation across phases of the study. For those who do not have Prism, please see the PDF file. We also included high-resolution versions of the screen layouts from Figures 1 and 2 in a Word document.</p>
Data from: Genomic footprint of cladogenesis revealed through RADseq and Sanger sequencing demonstrates congruent patterns in the velvet worm Peripatopsis sedgwicki species complex (Onychophora: Peripatopsidae)
<p>In the present study, first generation DNA sequencing (mitochondrial cytochrome c oxidase subunit one, <em>COI</em>) and reduced-representative genomic RADseq data were used to understand the patterns and processes of diversification of the velvet worm, <em>Peripatopsis sedgwicki</em> species complex across its distribution range in South Africa. For the RADseq data, three datasets (two primary and one supplementary) were generated corresponding to 1259 - 11,468 SNPs, in order to assess the species diversity and phylogeographic of the species complex. Tree topologies for the two primary datasets were inferred using maximum likelihood and Bayesian inferences methods. Phylogenetic analyses using the <em>COI </em>datasets retrieved four distinct, statistically well-supported clades within the species complex. Five species delimitation methods applied to the <em>COI </em>data (ASAP, bPTP, bGMYC, STACEY, and iBPP) all showed support for the distinction of the Fort Fordyce Nature Reserve specimens. In the main <em>P. sedgwicki </em>species complex, the species delimitation methods revealed a variable number of operational taxonomic units and overestimated the number of putative taxa. Divergence time estimates coupled with the geographic exclusivity of species and phylogeographic results suggest recent cladogenesis during the Plio/Pleistocene. The RADseq were subjected to a principal components analysis and a discriminant analysis of principal components, under a maximum-likelihood framework. The latter results corroborate the four main clades observed using the <em>COI</em> data, however, applying additional filtering revealed additional diversity. The high overall congruence observed between the RADseq and <em>COI </em>data suggests that first generation sequence data remain a cheap and effective method for evolutionary studies, although RADseq does provide a far greater resolution of contemporary temporo-spatial patterns. </p>
Diel greenhouse gas emissions demonstrate a strong response to vegetation patch types in a freshwater wetland
<p>Data supporting submitted research paper. "All_flux_variables.csv" includes all plot data and is organized by the date/time of sample, campaign number, and sample location in rows and data collected as headers in the columns. "Flux_tower_data.csv" are meterological variables include in data analysis collected by a flux tower on sight. All other files are time series data for water pH (n = 2), water temperature (n = 3-5). Refer to the "metadata.csv" for units and descriptions of data in files. </p>
Incoherent phenomena in anisotropic periodic structures: from modeling to experimental demonstration
<p>Experimental measurement of difracted light Fig. 9 (subplot a consists of Grating_520_90_740_medium, columns 14 and 16) and Fig. 10 (reflection and transmission spectra of diffraction order generated by attached Python code) in the article Incoherent phenomena in anisotropic periodic<br>structures: from modeling to experimental demonstration.</p>
Two mosquito salivary antigens demonstrate promise as biomarkers of recent exposure to P. falciparum-infected mosquito bites
<p>Measuring malaria transmission intensity using the traditional entomological inoculation rate is difficult. Antibody responses to mosquito salivary proteins such as SG6 have previously been used as biomarkers of exposure to <em>Anopheles</em> mosquito bites. Here, we investigate four mosquito salivary proteins as potential biomarkers of human exposure to mosquitoes infected with <em>P. falciparum</em>: mosGILT, SAMPSP1, AgSAP, and AgTRIO. We tested population-level human immune responses in longitudinal and cross-sectional plasma samples from subjects with known <em>P. falciparum</em> infection from low and moderate transmission areas in Senegal using a multiplexed magnetic bead-based assay. AgSAP and AgTRIO were the best indicators of recent exposure to infected mosquitoes, with antibody responses to AgSAP in a moderate endemic area, and to AgTRIO in both low and moderate endemic areas, significantly higher than healthy non-endemic control cohort (p-values = 0.0245, 0.0064, and <0.0001 respectively). No antibody responses significantly differed between the low and moderate transmission area, or between equivalent groups during and outside the malaria transmission seasons. For AgSAP and AgTRIO, reactivity peaked 2-4 weeks after clinical <em>P. falciparum</em> infection and declined 3 months after infection. Reactivity to both AgSAP and AgTRIO peaked after infection and did not differ seasonally nor between areas of low and moderate transmission, suggesting reactivity is due to exposure to infectious mosquitos or recent biting rather than general mosquito exposure. Kinetics suggest reactivity is relatively short-lived. AgSAP and AgTRIO are promising candidates to incorporate into multiplexed assays for serosurveillance of population-level changes in <em>P. falciparum</em>-infected mosquito exposure.</p>
D1.3.2 Lab demonstrator of 6GSMART Cloud continuum Orchestrator-MNO
<p><em>D1.3.2 Lab demonstrator of 6GSMART Cloud continuum Orchestrator-MNO</em></p> <p>Video</p> <p>Developed by TELEFÓNICA-MINSAIT</p>
D2.3.1 Lab demonstrator of 6GSMART private-public interworking
<p><em>D2.3.1 Lab demonstrator of 6GSMART private-public interworking</em></p> <p>Video</p> <p>Developed by TELEFÓNICA-MINSAIT (Spain)</p>
Dataset for Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr(VI) reduction
<p><strong>This repository contains data from the manuscript:</strong></p> <p>Víchová, V., Oborná, J. K., Petr, M., Soukupová, J., Pechancová, R., Pluháček, T., & Filip, J. (2024). Sulfidation of air-stable iron nanoparticles: A novel strategy how to boost their reactivity demonstrated on Cr (VI) reduction. <em>Journal of Water Process Engineering</em>, <em>67</em>, 106246. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jwpe.2024.106246" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jwpe.2024.106246</a></p> <p><strong>Abstract of the manuscript:</strong></p> <p>Sulfidated zero-valent iron nanoparticles (S-nZVI) have been extensively studied as environmentally promising<br>alternative material, which enables reduction of variety of extremely dangerous pollutants directly in the<br>environment. However, synthesis and manipulation with these extremely reactive/pyrophoric nZVI particles<br>represents a challenge and requires special precautions. In this study, we report a synthesis of S-nZVI from airstable<br>core-shell nZVI, which reactivity with contaminants and properties are comparable with the commonly<br>prepared S-nZVI particles (where the precursor was bare/pyrophoric nZVI particles). The undeniable novelty<br>dwells in the simplicity of the synthetic process, which ensures consequential safe and easy handling, manipulation,<br>and application of S-nZVI particles. This material, especially highly effective against halogenated organic<br>compounds and heavy metals, was characterized in detail and its advanced characteristics were evaluated in the<br>process of hexavalent chromium (Cr(VI)) reduction from model aqueous solutions and polluted groundwater.<br>The results offer valuable insights into the preparation of a novel nanomaterial with high application potential in<br>the effective degradation of heavy metals in polluted water. Overall, the novel way prepared S-nZVI particles,<br>designed for the potential large-scale production, eliminates the drawbacks of S-nZVI synthesized from bare nZVI<br>particles and offers the effective material suitable for any on-site application.</p>
D2.3.2 Lab demonstrator of 6GSMART private-public interworking
<p><em>D2.3.2 Lab demonstrator of 6GSMART private-public interworking - Cloud perspective</em></p> <p>This deliverable consists of a lab demonstrator of the software components that constitute the 6GSMART private-public interworking system.</p>
Making people work skillfully together with the support of the TeamFluent tool - video of a demonstration
<p>This is a video prepared for a demonstration held at the OCCE 2021 conference:</p> <p>Lakkala, M., Dexter, P., Rautiainen, J., Männistö, T., & Toom, A. (2021). Making people work skillfully together with the support of the TeamFluent tool. OCCE 2021 DTEL IFIP TC3 Conference, 17-20 August, 2021, Tampere, Finland. See the book of abstracts: h<a href="http://ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf">ttps://www.occe2021.fi/wp-content/uploads/2021/08/OCCE2021_BookOfAbstracts_20210810.pdf</a> (pp. 37-38).</p> <p>TeamFluent is a research-based tool originally developed at the University of Helsinki in the dLearn.Helsinki project (<a href="https://blogs.helsinki.fi/dlearnhelsinki/">https://blogs.helsinki.fi/dlearnhelsinki/</a>) and further developed by TeamFluent Ltd. (<a href="https://www.teamfluent.eu/">https://www.teamfluent.eu/</a>).</p>
BarWare Cell Hashing Pipeline Demonstration
<p>Data and code used to demonstrate the BarWare cell hashing deconvolution pipeline.</p>
Operational data from industrial automation demonstrator EnAS
<p><strong>General description</strong></p> <p>The dataset consists of a data stream of operational data from the industrial automation demonstrator EnAS, installed in the Aalto Factory of the Future laboratory. The data includes for every register a timestamp and operational data, which consists of the state of digital sensors and actuators, as well as markers captured manually to annotate the detection of an error state in the system by the operator. </p> <p>Each row represents a snapshot of all the operational signals in the machine. The data was reported and logged by exception, i.e. a new register was logged only when a single digital signal changed its state. The data was collected without a polling period. The registers represent the natural execution time. </p> <p>The dataset was recorded between 23rd September 2020 and 2nd February 2021 by Gadidjah Ögmundsdóttir as part of her MSc thesis project. It has a total of 219893 registers.</p> <p> </p> <p><strong>Equipment</strong> </p> <p>The machine uses wireless controllers. The automated process was programmed following the IEC61499 standard in NxT Studio (software from NXT control). </p> <p>Image 1.jpg presents a plant view of the system and the component names. Image 2.jpg presents a perspective view of some components not included in Image 1. The component names appear on the column headers of the dataset.</p> <p> </p> <p><strong>Data collection process</strong></p> <p>The data was collected using a python script running a TCP IP server instance through the socket library. One controller from the system collected and concatenated all the signals and sent them to the TCP IP server, where the messages were logged in the CSV file. </p> <p>Data was collected during September and October in 2020, and January and February in 2021.</p> <p>In October 2020, the conveyor belt on section 6 broke, and was replaced by a new one in December.</p> <p>The data was typically collected on a day-to-day basis. The first recordings in October have some noise due to the mechanical adjustments on the position of sensors.</p> <p> </p> <p><strong>Process</strong> </p> <p>The solution is used to demonstrate the delivery system for small cylindrical workpieces coming in two possible colors, green or red. The pieces travel through a piece holder running over a closed loop serial conveyor system.</p> <p>There are two production variants resulting in either a correct or incorrect piece color. </p> <p>The process resulting in an incorrect piece color requires swapping the workpieces using both jacks. In contrast, the process resulting in a correct piece color, only includes handling the workpiece with the jack 2.</p> <p>Every production sequence starts moving the piece from C3 and ends in C3.</p> <p> </p> <p><strong>EnAS dataset description</strong></p> <p>Based on the equipment description, the data consists of the following columns:</p> <ul> <li>Timestamp: [YYYY-MM-DD hh:mm:ss]: Timestamp of logged data point </li> <li>C1: [0,1], a value of 0 indicates that the motor 1 is off while 1 indicates it is on</li> <li>LS1: [0,1], a value of 0 indicates that the sensor 2 is off while 1 indicates it is on</li> <li>C2: [0,1], a value of 0 indicates that the motor 2 is off while 1 indicates it is on</li> <li>LS2: [0,1], a value of 0 indicates that the sensor 2 is off while 1 indicates it is on</li> <li>C3: [0,1], a value of 0 indicates that the motor 3 is off while 1 indicates it is on</li> <li>LS3: [0,1], a value of 0 indicates that the sensor 3 is off while 1 indicates it is on</li> <li>C4: [0,1], a value of 0 indicates that the motor 4 is off while 1 indicates it is on</li> <li>LS4: [0,1], a value of 0 indicates that the sensor 4 is off while 1 indicates it is on</li> <li>C5: [0,1], a value of 0 indicates that the motor 5 is off while 1 indicates it is on</li> <li>LS5: [0,1], a value of 0 indicates that the sensor 5 is off while 1 indicates it is on</li> <li>C6: [0,1], a value of 0 indicates that the motor 6 is off while 1 indicates it is on</li> <li>LS6: [0,1], a value of 0 indicates that the sensor 6 is off while 1 indicates it is on</li> <li>TS1: [0,1], a value of 0 indicates that the Jack 1 Top sensor is off while 1 indicates it is on</li> <li>BS1: [0,1], a value of 0 indicates that the Jack 1 Bottom sensor is off while 1 indicates it is on</li> <li>ES1: [0,1], a value of 0 indicates that the Jack 1 Extended sensor is off while 1 indicates it is on</li> <li>RS1: [0,1], a value of 0 indicates that the Jack 1 Retracted sensor is off while 1 indicates it is on</li> <li>EA1: [0,1], a value of 0 indicates that the Jack 1 Extend actuator is off while 1 indicates it is on</li> <li>BA1: [0,1], a value of 0 indicates that the Jack 1 Bottom actuator is off while 1 indicates it is on</li> <li>VA1: [0,1], a value of 0 indicates that the Jack 1 gripper vacuum is off while 1 indicates it is on</li> <li>S1: [0,1], a value of 0 indicates that the sledge on Jack 1 shift is off while 1 indicates it is on</li> <li>TS2: [0,1], a value of 0 indicates that the Jack 2 Top sensor is off while 1 indicates it is on</li> <li>BS2: [0,1], a value of 0 indicates that the Jack 2 Bottom sensor is off while 1 indicates it is on</li> <li>ES2: [0,1], a value of 0 indicates that the Jack 2 Extended sensor is off while 1 indicates it is on</li> <li>RS2: [0,1], a value of 0 indicates that the Jack 2 Retracted sensor is off while 1 indicates it is on</li> <li>EA2: [0,1], a value of 0 indicates that the Jack 2 Extend actuator is off while 1 indicates it is on</li> <li>BA2: [0,1], a value of 0 indicates that the Jack 2 Bottom actuator is off while 1 indicates it is on</li> <li>VA2: [0,1], a value of 0 indicates that the Jack 2 gripper vacuum is off while 1 indicates it is on</li> <li>S2: [0,1], a value of 0 indicates that the sledge on Jack 2 shift is off while 1 indicates it is on</li> <li>ME: [0,1], 1 indicates that a motion error occurred, most likely connected to the conveyor mechanism</li> <li>HE: [0,1], 1 indicates that a handling error occurred, most likely connected to the jacks</li> <li>UE: [0,1], 1 indicates that an unknown error occurred</li> <li>PV: [1,2], 1 indicates production variant 1 which results in a correct workpiece color, and 2 indicates production variant 2 which results in an incorrect workpiece color</li> </ul>
Age-dependent timing and routes demonstrate developmental plasticity in a long-distance migratory bird
<p>1. Longitudinal tracking studies have revealed consistent differences in the migration patterns of individuals from the same populations. The sources or processes causing this individual variation are largely unresolved. As a result, it is mostly unknown how much, how fast, and when animals can adjust their migrations to changing environments. 2. We studied the ontogeny of migration in a long-distance migratory shorebird, the black-tailed godwit (Limosa limosa limosa), a species known to exhibit marked individuality in the migratory routines of adults. By observing how and when these individual differences arise, we aimed to elucidate whether individual differences in migratory behaviour are inherited or emerge as a result of developmental plasticity. 3. We simultaneously tracked juvenile and adult godwits from the same breeding area on their south- and northward migrations. To determine how and when individual differences begin to arise, we related juvenile migration routes, timing, and mortality rates to hatch date and year of birth. Then, we compared adult and juvenile migration patterns to identify potential age-dependent differences. 4. In juveniles, the timing of their first southward departure was related to hatch date. However, their subsequent migration routes, orientation, destination, migratory duration, and likelihood of mortality were unrelated to the year or timing of migration, or their sex. Juveniles left the Netherlands after all tracked adults. They then flew non-stop to West Africa more often and incurred higher mortality rates than adults. Some juveniles also took routes and visited stopover sites far outside the well-documented adult migratory corridor. Such juveniles, however, were not more likely to die. 5. We found that juveniles exhibited different migratory patterns than adults, but no evidence that these behaviours are under natural selection. We thus eliminate the possibility that the individual differences observed among adult godwits are present at birth or during their first migration. This adds to the mounting evidence that animals possess the developmental plasticity to change their migration later in life in response to environmental conditions as those conditions are experienced.</p>
Demonstrating a Bayesian Online Learning forEnergy-Aware Resource Orchestration in vRANs
<p>Radio Access Network Virtualization (vRAN) will spearhead the quest towards supple radio stacks that adapt to heterogeneous infrastructure: from energy-constrained platforms deploying cells-on-wheels (e.g., drones) or battery-powered cells to green edge clouds. We demonstrate a novel machine learning approach to solve resource orchestration problems in energy-constrained vRANs. Specifically, we demonstrate two algorithms: (i) BP-vRAN, which uses Bayesian online learning to balance performance and energy consumption, and (ii) SBP-vRAN, which augments our Bayesian optimization approach with safe controls that maximize performance while respecting hard power constraints. We show that our approaches are data-efficient, converge an order of magnitude faster than other machine learning methods-and have provably performance, which is paramount for carrier-grade vRANs. We demonstrate the advantages of our approach in a testbed comprised of fully-fledged LTE stacks and a power meter, and implemented our approach into O-RAN's non-real-time RAN Intelligent Controller (RIC).</p>
Local Ultrasonic Resonance Spectroscopy: A Demonstration on Plate Inspection - Dataset
<p><em><strong>The peer-reviewed publication using this dataset has been published in the Journal of Nondestructive Evaluation, and can be accessed via <a href="https://doi.org/10.3390/epidemiologia2030024">https://doi.org/10.1007/s10921-020-00674-5</a>. Please cite this article when using the dataset.</strong></em></p>
Demonstration videos of Erkki Kurenniemi's DICO - a digitally controlled oscillator for composer Osmo Lindeman
<p>The set contains demonstration videos Erkki Kurenniemi's DICO - a dgitally controlled oscillator shot at the UHMRL - University of Helsinki Music Research Laboratory and Electronic Music Studio on May 20, 2012 by Mikko Ojanen.</p> <p>DICO is a twelve-step sequencer with digital memory custom-designed by FInnish electronic musical instrument designer Erkki Kurenniemi for composer Osmo Lindeman in 1969.</p> <p>See also: DICO - digitally controlled oscillator (1969) by Erkki Kurenniemi: a demo by Mikko Ojanen. <a href="https://vimeo.com/80931815">https://vimeo.com/80931815</a></p> <p> </p> <p>For more information about the DICO see:</p> <p>Ojanen, Mikko. (2020). User Stories of Erkki Kurenniemi's Electronic Musical Instruments, 1961–1978 (20201127_01) [Zenodo]. <a href="https://doi.org/10.5281/zenodo.4018719">https://doi.org/10.5281/zenodo.4018719</a></p> <p>Suominen, Jari (2021). The user manual of DIR-DICO. [Link to the online resource to be added]</p> <p> </p>
Extirpated prairie species demonstrate more variable phenological responses to warming than extant congeners
<p><i>Premise of the study. </i>Shifting phenology in response to climate is one mechanism that can promote population persistence and geographic spread; therefore, species with limited ability to phenologically track changing environmental conditions may be more susceptible to population declines. Alternatively, apparently, nonresponding species may demonstrate divergent responses to multiple environmental conditions experienced across seasons.</p> <p><i>Methods. </i>Capitalizing on herbarium records from across the Midwestern United States and detailed botanical surveys documenting local extinctions over the past century, we investigate whether extirpated and extant taxa differ in their phenological responses to temperature and precipitation experienced during winter and spring (during flowering and the growing season prior to flowering) or in their magnitude of flowering time shift over the past century.</p> <p><i>Key results. </i>Although warmer temperatures across seasons advanced flowering, extirpated and extant species differed in the magnitude of their phenological responses to winter and spring warming. Extirpated species demonstrated inconsistent phenological responses to warmer spring temperatures. Meanwhile, extant species consistently advanced flowering in response to warmer spring temperatures. In contrast, extirpated species advanced flowering more than extant species in response to warmer winter temperatures. Greater spring precipitation tended to delay flowering for both extirpated and extant taxa. Finally, both extirpated and extant taxa delayed flowering over time.</p> <p><i>Conclusions. </i>This study highlights the importance of understanding phenological responses to seasonal warming and indicates that extirpated species may demonstrate more variable phenological responses to temperature than extant congeners, a finding consistent with the hypothesis that appropriate phenological responses may reduce species' likelihood of extinction.</p>
Data sets used to demonstrate the software MadHitter in the manuscript "The Landscape of Receptor-Mediated Precision Cancer Combination Therapy Via a Single-Cell Perspective"
<p>This is a zip archive of nine single-cell RNASeq data sets used in the manuscript entitled:</p> <p>"The Landscape of Receptor-Mediated Precision Cancer Combination Therapy Via A Single-Cell Perspective" by Saba Ahmadi, Pattara Sukprasert, Rahulsimham Vegesna, Sanju Sinha, Fiorella Schischlik, Natalie Artzi, Samir Khuller, Alejandro A. Schaffer, Eytan Ruppin,</p> <p>The README.txt describes the data sets in detail.</p> <p>The associated software can be found at https://github.com/ruppinlab/madhitter</p>
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.