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58 results for “field application”

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zenodo36/100

Data From: B1 Field inhomogeneity correction for qDESS T2 mapping: application to rapid bilateral knee imaging

<p><strong>Purpose</strong>: T2&nbsp;mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral imaging may be useful in investigating the role of between-knee asymmetry in OA onset and progression. The quantitative double-echo in steady-state (qDESS) can provide fast simultaneous bilateral knee T2&nbsp;and high-resolution morphometry for cartilage and meniscus.<br> The qDESS uses an analytical signal model to compute T2&nbsp;relaxometry maps, which require knowledge of the flip angle (FA).&nbsp;<br> In the presence of B1&nbsp;inhomogeneities, inconsistencies between the nominal and actual FA can affect the accuracy of T2&nbsp;measurements.<br> We propose a pixel-wise B1&nbsp;correction method for qDESS T2&nbsp;mapping exploiting an auxiliary B1&nbsp;map to compute the actual FA used in the model.<br> &nbsp;<br> <strong>Methods</strong>:&nbsp;The technique was validated in a phantom and in vivo with simultaneous bilateral knee imaging.&nbsp;<br> T2&nbsp;measurements of femoral cartilage (FC) of both knees of six healthy participants were repeated longitudinally to investigate the association between T2&nbsp;variation and B1.</p> <p><strong>Results</strong>:&nbsp;The results showed that applying the B1&nbsp;correction mitigated T2&nbsp;variations that were driven by B1&nbsp;inhomogeneities.&nbsp;<br> Specifically, T2&nbsp;left-right symmetry increased following the B1&nbsp;correction (rc&nbsp;= 0.74 &gt;&nbsp;rc&nbsp;= 0.69). Without the B1&nbsp;correction, T2&nbsp;values showed a linear dependence with B1. The linear coefficient decreased using the B1&nbsp;correction (from 24.3 <span class="math-tex">\(\pm\)</span>&nbsp;1.6 ms to 4.1 <span class="math-tex">\(\pm\)</span>&nbsp;1.8) and the correlation was not statistically significant after the application of the Bonferroni correction (p-value &gt;&nbsp;0.01).<br> &nbsp;<br> <strong>Conclusion</strong>:&nbsp;the study showed that B1 correction could mitigate variations driven by the sensitivity of the qDESS T2&nbsp;mapping method to B1, therefore increasing the sensitivity to detect real biological changes. The proposed method may improve the robustness of bilateral qDESS T2&nbsp;mapping, allowing for an accurate and more efficient evaluation of OA pathways and pathophysiology through longitudinal and cross-sectional studies.</p> <p><strong>This repository contains the raw data for reproducing the&nbsp;results reported in the paper. The data are provided in NIFTI format. The repository also contains the MALTAB&nbsp;scripts used to compute B<sub>1</sub> maps from the NIFTI data.</strong></p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Field Application of a High-Power Density Electromagnetic Energy Harvester to Power Wireless Sensors in Transportation Infrastructures

<p>Traffic-induced vibration of transportation infrastructures is a reliable source of kinetic energy, which can be harvested to power conventional monitoring sensors and peripherals installed on bridges, thereby reducing some dependence on non-renewable energy. The highway statistics shows that the average daily vehicles miles travelled in the US is more than 5 billion. This is a massive source of kinetic energy that lies unused in the national transportation network. This study focuses on the design and field testing of a high-power density electromagnetic energy harvester (EMEH) to convert such a kinetic energy into electrical energy for powering ubiquitous sensors installed on transportation infrastructures. The principal investigators have been investigating the design of the EMEH using analytical and finite element simulations, as well as, its laboratory prototype fabrication and testing in the first phase. The proposed EMEH utilizes the innovative concept of creating planar array of large number of small permanent magnets through certain optimization criteria to achieve strong and focused magnetic field in a particular orientation. The proposed EMEH has a compact design, such that it can be integrated into the power circuit of wireless sensor nodes (WSNs) and installed at suitable part of a transportation infrastructure without elaborate wiring. It is capable of continuously charging the rechargeable battery of a WSN, thereby extending the lifespan of the monitoring system, almost, indefinitely. For the next phase of this research, the principal investigators propose the development and field implementation of a larger scale and more compact version of the EMEH with a minimum of 500 mW output power to be installed on selected transportation infrastructures for the evaluation of its energy harvesting efficiency and capability to derive different types of monitoring sensors and peripherals. Three different highway bridges with different fundamental frequencies, ideally between 2Hz to 8Hz, will be selected for the field testing of the EMEH. An acceleration sensor will be used to record the traffic-induced vibration of each bridge during a normal daily traffic that after signal processing is used to measure the fundamental frequency of that bridge. The dynamic characteristics of the proposed EMEH (i.e. tip mass and spring stiffness) will be modified to put it into a resonant condition with the bridge by matching their natural frequencies. The output power will be monitored and used to continuously charge a rechargeable battery powering a wireless sensor. The focus is on the feasibility of the proposed EMEH to power sensors that are used to regularly monitor the structural integrity of materials and components of highway bridges such as acceleration and temperature sensors.</p>

opencc-by-4.0May 2023View details →
dryad36/100

Data from: Herbicide screening and application method development for sustainable weed management in Tagetes erecta L. fields

Open the record for dataset details and reuse information.

publicJun 2025View details →
dryad36/100

Application of inverse theory for high spatial resolution reconstructions of thermospheric vector wind fields from Doppler shifts measured by a ground-based network of all-sky Fabry-Perot interferometers

Open the record for dataset details and reuse information.

publicMay 2022View details →
dryad32/100

Exogenous application of plant hormones in the field alters aboveground plant–insect responses and belowground nutrient availability, but does not lead to differences in plant–soil feedbacks

<p>Plant–soil feedbacks of plants that are exposed to herbivory have been shown to differ from those of plants that are not exposed to herbivores. Likely, this process is mediated by jasmonic acid (JA) and salicylic acid (SA) defense pathways, which are induced by aboveground herbivory. Furthermore, exogenous application of these phytohormones to plants alters belowground communities, but whether this changes plant–soil feedbacks in natural systems is unknown. We applied exogenous sprays of JA and SA individually and in combination to field plots in a restored grassland. Control plots were sprayed with demineralized water. After three repeated application rounds, we transplanted seedlings of the plant–soil feedback model plant Jacobaea vulgaris as phytometer plants to test the effects of potential phytohormone-mediated changes in the soil, on plant performance during the response phase. We further measured how exogenous application of phytohormones altered plant-related ecosystem characteristics (plot-level); soil chemistry, plot productivity, insect communities and predation. Biomass of the phytometer plants only co-varied with plot productivity, but was not influenced by phytohormone applications. However, we did observe compound-specific effects of SA application on insect communities, most notably on parasitoid attraction, and of JA application on soil nitrogen levels. Although we did not find effects on plant–soil feedbacks, the effects of exogenous application of phytohormones did alter other ecosystem-level processes related to soil nutrient cycling, which may lead to legacy effects in the longer term. Furthermore, exogenous application of phytohormones led to altered attraction of specific insect groups</p>

opencc-zeroAug 2020View details →
dryad32/100

Data from: Sex determination in the wild: a field application of loop-mediated isothermal amplification successfully determines sex across three raptor species

PCR-based methods are the most common technique for sex determination of birds. Although these methods are fast, easy and accurate, they still require special facilities that preclude their application outdoors. Consequently, there is a time lag between sampling and obtaining results that impedes researchers to take decisions in situ and in real time considering individuals' sex. We present an outdoor technique for sex determination of birds based on the amplification of the duplicated sex-chromosome-specific gene Chromo-Helicase-DNA binding protein using a loop-mediated isothermal amplification (LAMP). We tested our method on Griffon Vulture (Gyps fulvus), Egyptian Vulture (Neophron percnopterus) and Black Kite (Milvus migrans) (family Accipitridae). We introduce the first fieldwork procedure for sex determination of animals in the wild, successfully applied to raptor species of three different subfamilies using the same specific LAMP primers. This molecular technique can be deployed directly in sampling areas because it only needs a voltage inverter to adapt a thermo-block to a car lighter and results can be obtained by the unaided eye based on colour change within the reaction tubes. Primers and reagents are prepared in advance to facilitate their storage at room temperature. We provide detailed guidelines how to implement this procedure, which is simpler (no electrophoresis required), cheaper and faster (results in c. 90 min) than PCR-based laboratory methods. Our successful cross-species application across three different raptor subfamilies posits our set of markers as a promising tool for molecular sexing of other raptor families and our field protocol extensible to all bird species.

opencc-zeroDec 2015View details →
zenodo32/100

Field level pesticide application datasets

<p>This package contains the results of two pilot surveys collecting field level data on the application of plant protection products. The first survey was completed in 2012 with the aim of collecting information on cumulative exposure to plant protection products for operators and workers. In this pilot six countries participated, covering arable crops, soft fruits, green house cultivation, orchards and vineyards. The dataset contains results from 428 farms, 581 operators, 481 workers resulting 17,058 rows of application events. The second survey was completed in 2015 with the aim of collecting information for use in environmental risk assessments.  Applications of plant protection products over multiple years for selected fields was recorded. In this pilot eight countries participated, covering wheat, potatoes, oilseed rape, maize, sugar beet, apples, citrus, grapes and vegetables. The dataset contains results from 419 farms, 580 environmental fields, 414 operators resulting 28,903 rows of application events. In both cases this survey was considered to be a pilot since the number of farms surveyed was insufficient to be representative for any of the participating countries.</p> <p>The data was collected using  standardised questionnaires. Farmers, operators and workers were asked to provide information. The questionnaire was made up of eight topic specific forms. </p> <p>Form 1 – cropping types and area grown in the year of the survey</p> <p>Form 2 – farm business details including, size, location, number of spray operators. Information on the use of agronomists, buffer strips and Integrated Pest Management (IPM) was added in the second survey</p> <p>Form 3 – pesticide application details for the principal spray operator on the farm, including date, crop stage, product, method of application, application rate, area treated, start time and duration of application.</p> <p>Form 3b (second survey only) –off- and in-field margin information</p> <p>Form 4 – information on the principal operator, age, gender, percentage spraying undertaken, qualifications, time and PPE worn for different on farm activities</p> <p>Form 5 –details of the sprayers on the farm including make, model, age, tank capacities, filling systems, cab type, age and nozzle sets</p> <p>Form 6 –  worker activities, including date, crop stage, time since last pesticide application, activity types and number of hours</p> <p>Form 6b (second survey only) – working hours for operators and workerss</p>

opencc-by-nd-4.0Jul 2015View details →
zenodo32/100

A sample of the training data used in the paper "A Hybrid Physics-AI (HyPhAI) approach for probability fields advection: Application to cloud cover nowcasting"

<p>Copyright (2024) EUMETSAT</p>

opencc-by-4.0Feb 2024View details →
zenodo32/100

Supplementary materials to "Brakenhoff et al., Application of time series analysis to estimate drawdown from multiple well fields."

<p>This repository contains the supplementary material that allow to reproduce all the results from the study submitted to Frontiers journal.</p> <p>&nbsp;</p>

openMar 2022View details →
zenodo32/100

Data from: Application of Spatial-ID to large field mouse brain hemisphere dataset measured by Stereo-seq

<p>The application of Spatial-ID on the large field mouse brain hemisphere dataset measured by Stereo-seq technology. Briefly, three adjacent coronal sections along the anterior-posterior axis were cut from the brain 5-week-old male mouse. It fully proves the innovation and applicability of Spatial-ID.</p>

opencc-by-4.0Nov 2022View details →
dryad32/100

Data from: No evidence for impaired solitary bee fitness following pre-flowering sulfoxaflor application alone or in combination with a common fungicide in a semi-field experiment

<p class="MsoNormal"><span>Pesticide exposure is considered a major driver of pollinator decline and the use of neonicotinoid insecticides has been restricted by regulatory authorities due to their risks for pollinators. Impacts of new alternative sulfoximine-based compounds on solitary bees and their potential interactive effects with other commonly applied pesticides in agriculture remain unclear. Here, we conducted a highly replicated full-factorial semi-field experiment with the solitary bee <em>Osmia bicornis</em>, an important pollinator of crops and wild plants in Europe, and <em>Phacelia tanacetifolia</em> as a model crop. We show that spray applications of the insecticide sulfoxaflor (product Closer) and the fungicide azoxystrobin (product Amistar), both alone and combined, had no significant negative impacts on adult female survival or the production, mortality, sex ratio and body size of offspring when sulfoxaflor was applied five days before crop flowering. Our results indicate that for <em>O. bicornis</em> (1) the risk of adverse impacts of sulfoxaflor (Closer) on fitness is small when applied at least five days before crop flowering and (2) that azoxystrobin (Amistar) has a low potential of exacerbating sulfoxaflor effects under field-realistic conditions.</span></p>

opencc-zeroJan 2023View details →
ClinicalTrials.gov32/100

Field Paramedic Application of Sepsis Triage

ClinicalTrials.gov study NCT03870789. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Field Application of Shanchol in Adults in Bangladesh

ClinicalTrials.gov study NCT01762930. IPD Sharing: Not stated. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Exogenous application of plant hormones in the field alters aboveground plant–insect responses and belowground nutrient availability, but does not lead to differences in plant–soil feedbacks

Open the record for dataset details and reuse information.

publicAug 2020View details →
dryad32/100

Data from: No evidence for impaired solitary bee fitness following pre-flowering sulfoxaflor application alone or in combination with a common fungicide in a semi-field experiment

Open the record for dataset details and reuse information.

publicJan 2023View details →
dryad32/100

Data from: Sex determination in the wild: a field application of loop-mediated isothermal amplification successfully determines sex across three raptor species

Open the record for dataset details and reuse information.

publicMay 2016View details →
zenodo28/100

Systematic evaluation of ReaxFF reactive force fields for biochemical applications

<p>The tar archive contains supporting information to accompany the publication. The data includes the ReaxFF force field files, XYZ and BGF geometry files for amino acid conformers and dipeptides, pathways of initial DNEB interpolations and full connected pathways of condensation reactions.</p>

opencc-by-4.0Sep 2020View details →
zenodo28/100

Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California

<p>Earthquake relocations and Vp and Qp models of The Geysers geothermal field developed by Guo and Thurber (2021).</p> <p>&nbsp;</p> <p>Reference:</p> <p>Hao Guo, Clifford Thurber, 2021. Double-difference seismic attenuation tomography method and its application to The Geysers geothermal field, California, Geophysical Journal International, ggab017, https://doi.org/10.1093/gji/ggab017</p>

opencc-by-4.0Jan 2021View details →
zenodo28/100

Supplementary material 1 from: Matenaar D (2024) Application of extended depth of field 3D imagery to tackle the challenges of cryptic species: a use case in the genus Betiscoides Sjöstedt, 1924 (Orthoptera, Caelifera, Lentulidae) and its taxonomic implications. Evolutionary Systematics 8(1): 65-90. https://doi.org/10.3897/evolsyst.8.117735

Specimens collections sites and Genbank Acc. numbers

opencc-zeroMar 2024View details →
zenodo28/100

Datasets for the integration of MT data with magnetic inversion: proof-of-concept using synthetic data and field application

<p>This dataset is a companion dataset to the manuscript "<strong>Utilisation of probabilistic MT inversions to constrain magnetic data inversion: proof-of-concept and field application</strong>", by Jérémie Giraud, Hoël Seillé, Mark&nbsp;D. Lindsay, Gerhard Visser,&nbsp;Vitaliy Ogarko, and Mark W. Jessel.&nbsp;<br><br>It contains models and data shown in the paper.<br><br>The document was submitted for publication in Solid Earth:&nbsp;<br>https://se.copernicus.org/preprints/se-2021-124/se-2021-124-manuscript-version2.pdf<br><br>The folder organisation is as follows, where <strong>bold</strong> refers to folders and subfolders, and text in <i>italic</i> corresponds to a succinct description of the contents.<br><br>|-- <strong>Dataset_synth</strong>&nbsp; &gt; <i>synthetic dataset and results</i><br>|&nbsp;&nbsp; |-- <strong>Mag&nbsp; </strong>&gt;&nbsp; <i>magnetic data and models: inversion and results&nbsp;</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>domains &nbsp;</strong>&gt;&nbsp; <i>contains the files used to define domains for inversion</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>inversion results &nbsp;</strong>&gt;&nbsp;<i> contains subfolders with inversion results for different cases&nbsp;</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |--<strong> case a&nbsp;</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |--<strong> case b</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |--<strong> case c</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case d</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case e</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case f &nbsp;</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>membership values</strong> &nbsp;&gt;&nbsp; <i>contain files with membership values for the cases (a)-(f)</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>responses &nbsp;</strong>&gt;&nbsp; <i>simulated data with and without noise</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>true model &nbsp;</strong>&gt;&nbsp; <i>true model used for simulation</i><br>|&nbsp;&nbsp; |-- <strong>MT&nbsp; </strong>&gt;&nbsp; <i>MT probabilities,&nbsp;sites information and models</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>probabilities &nbsp;</strong>&gt;&nbsp; <i>MT-derived probabilities</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>responses &nbsp;</strong>&gt;&nbsp; <i>simulated MT data</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>edi_noise_5p &nbsp;</strong>&gt;&nbsp;<i>&nbsp;5% noise-contaminated data (*.edi files)</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |--<strong> </strong>MansfieldMT_fwd.dat &nbsp;&gt;&nbsp;<i> uncontaminated (ModEM format *.dat file)</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>model &nbsp;</strong>&gt;&nbsp; <i>model in ModEM format (*.mod) and WinGLink format (.out) formats</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- coordinates.txt &nbsp;&gt;<i>&nbsp; location of MT sites</i><br>|&nbsp;&nbsp; |-- <strong>Rock units &nbsp;</strong>&gt;&nbsp; <i>contains the file with indices of the rock unit model, in 3D, of the modified Mansfield model.&nbsp;The indices are stored as a column vector.&nbsp;</i><br><br>|-- <strong>Dataset_field</strong>&nbsp; &gt; <i>field dataset</i><br>|&nbsp;&nbsp; |-- <strong>Mag &nbsp;</strong>&gt;&nbsp; <i>magnetic data and models: inversion and results</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>admm constraints &nbsp;</strong>&gt;&nbsp;<i> file with bound constraints used in cases 3, 4, and adjusted case 4.</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>data &nbsp;</strong>&gt;&nbsp;<i> magnetic data for inversion, x, y, z, data column format.</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>inverted models &nbsp;</strong>&gt;&nbsp;<i> folders containing inversion results for the different cases tested</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case 1</strong>&nbsp;<br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case 2</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case 3</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case 4</strong><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>case 4 adjusted</strong><br>|&nbsp;&nbsp; |-- <strong>MT &nbsp;</strong>&gt;&nbsp; <i>MT probabilities and sites information</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- <strong>probabilities&nbsp; </strong>&gt;&nbsp; <i>MT probabilities of interface and rock units (*.txt files)</i><br>|&nbsp;&nbsp; |&nbsp;&nbsp; |-- coord_L26_sites&nbsp; &gt;&nbsp; <i>File containing the location of sites along ligne L26</i></p>

openMar 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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