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1,891 results for “Field data”
Data from: A well-studied parasitoid fly of field crickets uses multiple alternative hosts in its introduced range
<p>Organisms and their natural enemies can have dynamic coevolutionary trajectories, but anthropogenic effects like species introductions interrupt existing coevolutionary relationships. For parasites in particular, if they are introduced to a location without their hosts, they can only persist in the new environment if alternative hosts are 1) present, 2) detectable to parasites, and 3) capable of sustaining parasites. The circumstances surrounding the addition of alternative hosts to a parasite's repertoire are rarely observed. The parasitoid fly Ormia ochracea locates its field cricket hosts by orienting acoustically to their conspicuous mating songs. In Hawaii, O. ochracea is only known to parasitize one species, Teleogryllus oceanicus, but rapid evolution of T. oceanicus mating song over the past 20 years has led to several prevalent morphs of the cricket that produce no song or novel songs that the flies cannot detect. Yet flies persist in populations that lack ancestral singing T. oceanicus, prompting us to investigate the possibility of alternative hosts in Hawaii. We demonstrate first that three potential alternative hosts (Gryllodes sigillatus, Gryllus bimaculatus, and Modicogryllus pacificus) are present. Second, O. ochracea exhibits a positive phonotactic response to all three species' songs in the field and in the lab. And third, O. ochracea can successfully develop to pupae and emerge as adults in all three species. Our discovery of alternative hosts for O. ochracea in Hawaii infuses the system with intriguing complexity and offers extensive opportunities for future work.</p>
A near-field Head-Related Transfer Function (HRTF) data set of KEMAR with high distance resolution
<p>A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented ('KEMAR_NFHRIRmea_1cm.sofa'). HRTFs are measured at 83448 spatial points at distances ranging from 20 to 110 cm, elevations from -25° to 35°, and azimuths from 0° to 355°. The distance resolution of the HRTF data is 1 cm, higher than that of any existing public near-field HRTF databases. Therefore, the dataset enables further exploration of the distance dependence of near-field HRTFs, and is beneficial for applications of realistic and dynamic binaural rendering of nearby sound sources. An additional data set of simulated HRTFs with 1.5 cm distance resolution is also provided ('KEMAR_NFHRIRsim_1.5cm.sofa') for a direct comparison with the measured HRTFs or other purposes.</p>
Data from: Rapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought
<p>While we know that climate change can potentially cause rapid phenotypic evolution, our understanding of the genetic basis and degree of genetic parallelism of rapid evolutionary responses to climate change is limited. In this study, we combined the resurrection approach with an evolve and resequence design to examine genome-wide evolutionary changes following drought. We exposed genetically similar replicate populations of the annual plant <em>Brassica</em> <em>rapa</em> derived from a field population in southern California to four generations of experimental drought or watered conditions in a greenhouse. Genome-wide sequencing of ancestral and descendant population pools identified hundreds of SNPs that showed evidence of rapidly evolving in response to drought. Several of these were in stress response genes, and two were identified in a prior study of drought response in this species. However, almost all genetic changes were unique among experimental populations, indicating that the evolutionary changes were largely non-parallel, despite the fact that genetically similar replicates of the same founder population had experienced controlled and consistent selection regimes. This non-parallelism of evolution at the genetic level is potentially because of polygenetic adaptation allowing for multiple different genetic routes to similar phenotypic outcomes. Our findings help to elucidate the relationship between rapid phenotypic and genomic evolution and shed light on the degree of parallelism and predictability of genomic evolution to environmental change.</p>
Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment
<p>Selection of the data in the following paper:<br> Sengers, B. A. M., Steinfeld, G., Hulsman, P., & Kuehn, M. (2023). Validation of an interpretable data-driven wake model using lidar measurements from a free-field wake steering experiment. Wind Energy Science Discussions, 1-32.</p> <p>This data subset provides input parameters commonly used in wake models, as well as ten-minuted averaged cross sections of the flow field at 4 rotor diameters downstream, as measured by a nacelle-mounted lidar. </p> <p>Cite this as:<br> B.A.M. Sengers (2023). Dataset: Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment. https://doi.org/10.5281/zenodo.7741395</p>
IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization
<p>IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization. </p> <p>This data is split up into two folders. </p> <p>"stationary_magnetometer_data" 0.1Hz samples of a RM3100 magnetometer that was kept in one position from July 2022 through February 2023. The data is partitioned into separate files for analytical convenience of our research. Each file here is a CSV with a timestamp (synchronized with chrony to a central computer) and the three components of the measured magnetic field. We did not calibrate this stationary magnetometer.</p> <p>"UAV_and_mocap_data" has many subfolders. Each subfolder is labeled by a date and a small description of the goals for that test segment. There is a single "EXPLANATION" file in each subfolder that gives more detail on the provided data. The data here includes the trajectory flown by the UAV, outdoor calibration data to adjust the raw magnetometer measurements, and IMU/motion capture data for each listed flight test. The EXPLANATION file should explain what trajectory was flown for each individual flight test. </p>
Experimental data for "Magnetic field control of light-induced spin accumulation in monolayer MoSe2"
<p>This repository contains the experimental data related to the article "Magnetic field control of light-induced spin accumulation in monolayer MoSe<sub>2</sub>" and is provided to the reader under the “data availability” directive. The files have been organized following the figure notation of the main text.</p>
Simulation data and code used for the publication in Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes"
<p>Simulation data used in the publication Magn. Reson. "Time-domain proton-detected local-field NMR for molecular structure determination in complex lipid membranes". The simulation data set, and the code developed to generate such data, are included. Details in the published paper </p>
Experimental data of a channel bifurcation with mobile-bed without and with vane-fields
<p>Experimental data of laboratory experiments of a channel bifurcation: a main and a lateral diversion channel, both with mobile bed, rectangular cross-section, performing a 90º angle between them.<br> Experiments run until the equilibrium bed was reached.</p> <p>4 experiments:<br> (i) no vanes - NV;<br> (ii) with a vane-field - VF;<br> (iii) with a second vane-field configuration with the alignment of the vanes (angle beta) = 30º - VF30;<br> (iv) with the same vane-field configuration as (iii) but with angle beta = 10º - VF10.</p> <p>Water depth at the downstream end of the main channel is equal to 0.10 m.<br> Width of the main channel = 0.68 m in (i)-(ii), and 0.67 in (iii)-(iv).<br> Width of the diversion channel = 0.26 m in (i)-(ii), and 0.25 in (iii)-(iv).<br> Discharge at the entrance of the main channel = 29 l/s.<br> Discharge ratio per unit width of the channels: 0.5 in (i)-(ii), and 0.2 in (iii)-(iv).<br> Height of the vanes = 0.03 m above the average bed level of the approach flow.</p> <p>Data measured provided for each experiment: <br> (i) profiles along direction x of the water surface levels and the bed topography;<br> (ii) average values and fluctuations of the 3 components of velocities at a dense grid of points (see figures with the plan views of the measured grid). In the vertical direction z, the points are spaced in 0.5 cm or 1 cm.<br> All the data was measured for the equilibrium bed.</p> <p>The velocities were measured with a side-looking Vectrino. Data was despiked (see Goring and Nikora, 2002 DOI 10.1061/(ASCE)0733-9429(2002)128:1(117) ), and points with correlation < 70% or SNR < 15 db were discarded.</p> <p>For further information see:</p> <p>Baltazar, J.; Alves, E.; Bombar, G.; Cardoso, A.H. Effect of a Submerged Vane-Field on the Flow Pattern of a Movable Bed Channel with a 90º Lateral Diversion. Water 2021, 13, 828. https://doi.org/10.3390/w13060828</p> <p>PhD thesis "Sediment control at lateral water intakes through submerged vane-fields", by Joana Baltazar (Instituto Superior Técnico, Lisbon, Portugal)<br> </p>
Lake Ontario field data - 2013 & 2018
<p>This is the field dataset that was used to calibrate and validate the Lake Ontario Hydrodynamic model</p> <p>Contains: </p> <ul> <li>water temperature from temperature chain data</li> <li>Acoustic Doppler Current Profiler data</li> <li>Tributary flows data</li> <li>Water level data</li> <li>Wave data</li> </ul>
Climatic records and within field data on yield and harvest quality over a whole vineyard estate.
<p>The data were obtained on a 30 ha vineyard located in a peri-urban area near a city of 10,000 inhabitants (Villeneuve-lès-Maguelone, France; 43.532300° N, 3.864230° E). The data includes 3 types of data:</p> <ul> <li> <p><strong>Block(s) data</strong>: the data describes each vineyard block. The description parameters of the blocks are the identity, the year of plantation, the variety of the grapes, the area, the inter-row distance and vine-distance. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 68 features.</p> </li> <li> <p><strong>Agronomic data</strong>: The data describes production parameters for each “harvest sector” for the 2022 harvest season. A harvest sector is the area covered by the harvester to fill a harvest trailer before its departure to a cellar. The mean area of these harvest sectors over the vineyard is equal to 0.3 ha. The data is provided as vector data (.shp and associated files) using the WGS84 global coordinate reference system for latitude and longitude. The data is composed of 87 features associated with 87 harvest sectors. Each harvest sector is characterized by the harvest date, the block(s) id(s) that it belongs to, the percentage of unproductive plants(Uplants) and yield parameters (Mass, Yield and Yield PP). For 50 of them, harvest quality parameters are available (Sugar, Alcohol, Total acidity, pH, Yeast Assimilable Nitrogen and Organic Nitrogen).</p> </li> <li> <p><strong>Weather data</strong>: the data consists of meteorological data for the 2020, 2021 and 2022 years recorded by a weather station located in the center of the vineyard. The recorded parameters are the followings: date, hour, relative humidity, rain gauge and air temperature. The acquisition time step is 15 minutes. The data are provided in Comma Separated Values (CSV) format. It is composed of 97988 lines. Each line describes meteorological data recorded at a given time.</p> </li> </ul>
the supplemental data of 'It is the Frequency that Matters - Effects of Electromagnetic Fields on the Release and Content of Extracellular Vesicles.'
<p>This data set is the supplemental data of the manuscript ‘It is the Frequency that Matters - Effects of Electromagnetic Fields on the Release and Content of Extracellular Vesicles.’</p>
Code and data for: Decoupling channel count from field-of-view and spatial resolution in single-sensor imaging systems for fluorescence image-guided surgery
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Data from: Rapid, parallel evolution of field mustard (Brassica rapa) under experimental drought
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Data from: Breaking Barriers? Ethnicity and socioeconomic background impact on early career progression in the fields of ecology and evolution
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Data from: Carbon debt of field-scale Conservation Reserve Program grasslands converted to annual and perennial bioenergy crops
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Data from: Mapping coastal redwoods (<em>Sequoia sempervirens</em>) across their natural range: An updateable and field-validated distribution map using Sentinel satellite data and cloud computing
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Climate model experiments of regional-scale tree die-off replaced by shrubs (all monthly data fields): Part 3
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Data from: Sensation of electric fields in Drosophila melanogaster
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Data from: Spectroscopic approach to correction and visualisation of bright-field light transmission microscopy biological data
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Data from: field evaluation: the effect of two transgenic Bt maize events on predatory arthropods in the Huang-Huai-Hai summer maize-growing region of China
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.