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255 results for “field experiment”
Data and R code used in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment
<p>This release contains the raw data, R code, and RootPainter model supporting the results described in Alonso-Crespo et al (2024) Exploring priority and year effects on plant diversity, productivity and vertical root distribution: first insights from a grassland field experiment.</p>
Dataset for "All field emission experiments are noisy, ... are any meaningful ?"
<p>The dataset are in text format, the files to analyze and generate the figures are in jupyter format for python with a copy in pdf format.</p> <p>Description of files and folders :</p> <p>I) <strong>Data</strong></p> <p>This folder contains the different experimental I-V data</p> <p>II) <strong>Data analysis for a work function of 4.5eV</strong></p> <p>This file analyse the data in the "Data" folder and generates the files in the "<strong>Analyzed</strong>" folder.</p> <p>It includes also the data to plot Figure 2, 3, 5, 9 and 10.</p> <p>III) <strong>Data analysis for a work function of 5eV</strong></p> <p>This file analyse the data in the "Data" folder and generates the files in the "<strong>Analyzed5eV</strong>" folder.</p> <p>IV) <strong>Data analysis of the drift</strong></p> <p>This file analyse the data in the "Analyzed" and "Analyzed5eV" folders.</p> <p>It includes also the data to plot Figure 4 and 8.<br>V) <strong>Figure 6</strong></p> <p>This file analyse the data in ".\Analyzed\paramIV4d.txt".</p> <p>It plots Figure 6.</p> <p>VI) <strong>Figure 7</strong></p> <p>This file analyse the data in ".\Data\IV4d.txt".</p> <p>It plots Figure 7.</p> <p>VII) <strong>Generating noisy data</strong></p> <p>This file contains numerical simulations of I-V data with noise and generates the files in the "Generated_nosiy_data" folder.</p> <p>VIII) <strong>Plotting noisy data</strong></p> <p>This file plots Figure 11 and 12 from the data in the "Generated_nosiy_data" folder.</p>
Raw data and MTEX script for the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling"
<p>This dataset contains the EBSD (.ctf) files of the different sample areas analyzed in the article : "Quantification of grain boundary mobilities in natural olivine by annealing experiments and full-field modelling" by J. Furstoss, S. Demouchy, A. Tommasi, E. Gardès, F. Barou and N. Marino, which is expected to be published in Tectonophysics. This repository also contains the Analyze.m MTEX script which has been used for the post-processing of the EBSD files. This script has to be run in matlab and outputs different figures and .csv files containing the raw data used in the article. For any questions please contact jfurstoss@orange.fr </p>
POLITO Radiosonde Cluster: In-Field Experiment Dataset
<p>This dataset comprises data from in-field experiments involving a cluster of POLITO radiosondes launched under various atmospheric conditions:</p> <p>Launch 1. In-field cluster launch of 10 radiosondes on a cloudy day within the Alpine Atmospheric Boundary Layer (ABL), St. Barthelemy, Valle d'Aosta, November 3, 2022. <br>Launches 2-3. Two in-field cluster launches with 10 and 12 radiosondes within the Chilbolton ABL, UK (July 5-6, 2023, WESCON campaign). <br>Launch 4. In-field cluster launch of 10 radiosondes within the Udine, Italy ABL (June 19, 2024, CISM).<br>Launches 5-6. Two in-field cluster launches with 5 and 9 radiosondes respectively within the Chilbolton ABL, UK (September 24-26, 2023, AMOF application).</p> <p>For more info and questions, please contact to shahbozbek.abdunabiev@polito.it, daniela.tordella@polito.it. </p>
Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation
<p>This dataset contains data from a field experiment described in the publication "Wise, D. H. & Farfan, M.A. (2021) Effects of enhanced productivity of resources shared by predators in a food-web module: Comparing results of a field experiment to predictions of mathematical models of intra-guild predation. Ecology and Evolution, 00: 1-11. <a href="https://doi.org/10.1002/ece3.8375">https://doi.org/10.1002/ece3.8375</a>".</p> <p>The field experiment compared the response to increased input of nutrients and energy (artificial detritus) to an empirical model of intra-guild predation (IGP) to the predictions of published, simple mathematical models of asymmetric IGP (a generalist IG Predator that feeds both on a specialist IG Prey and a Resource that it shares with the IG Prey). The empirical model was a food-web module created by pooling species abundances across many families in a community of soil micro-arthropods into three response variables: IG Predator (large predatory mites), IG Prey (small predatory mites) and a shared Resource (fungivorous mites and springtails). The pattern of change over time in densities of the three response variables (IG Predator, IG Prey and Resource) was compared to the predictions of mathematical models of IGP to determine if the feeding relationships in this community of soil micro-arthropods could be abstracted into a simple IGP module. Thus, we were testing the hypothesis that IGP is a dominant organizing principle in this community.</p> <p>Simple mathematical models predict that increased input of nutrients and energy to the shared Resource will increase the equilibrium density of Resource and IG Predator, but will decrease that of IG Prey. By the experiment's end, densities of fungivores (Resource) had increased ~1.5x (ratio of pooled fungivore densities in the High treatment to plots with no addition of detritus (None treatment); and IG Predator densities had increased ~4x. Contrary to the prediction of mathematical models, IG Prey had not decreased, but instead had increased ~1.5x. We discuss possible reasons for the failure of the empirical model to agree with IGP theory.</p>
Webinar on "Fighting AMR in animals: experiences and progress from the field" - WAAW 2021
<p>During the WAAW campaign on 24 November, EU funded H2020 projects AVANT, DISARM, HealthyLivestock and ROADMAP joined forces to share experiences and progress from the field about the challenge of antimicrobial resistance in animals. Testimonials with hands-on experiences, actions and innovative solutions of livestock sector actors such as farmers, vets, pet owners and breeders on tackling AMR were demonstrated.</p> <p>The video is available on YouTube: <strong><a href="http://youtu.be/S5QIQ5Wff-Y">https://youtu.be/S5QIQ5Wff-Y</a></strong></p> <p>Disclaimer: The invited speakers and the attendees of the webinar have given their informed and explicit consent to the project consortium partners for the publication of this video according to the GDPR in the EU Regulation 2016/679.</p> <p>The presentations and opinions disclosed in this video are only for general information purposes and do not constitute a joint declaration on behalf of the beneficiaries of the project AVANT, DISARM, Healthy Livestock and ROADMAP.</p> <p>For any further questions please contact us at:</p> <ul> <li><strong><a href="avant@rtds-group.com">avant@rtds-group.com</a></strong> (project AVANT),</li> <li><strong><a href="info@disarmproject.eu">info@disarmproject.eu</a></strong> (project DISARM),</li> <li><strong><a href="healthylivestockproject@yahoo.com">healthylivestockproject@yahoo.com</a></strong> (project Healthy Livestock) or</li> <li><strong><a href="mailto:roadmap.communication@gmail.com">roadmap.communication@gmail.com</a></strong> (project ROADMAP). </li> </ul> <p> </p> <p> </p>
Bottom-up effect of host protective symbionts on parasitoid diversity: Limited evidence from two field experiments
<p>1. Protective symbionts can provide effective and specific protection to their hosts. This protection can differ between different symbiont strains with each strain providing protection against certain components of the parasite and pathogen community their host faces. Protective symbionts are especially well known from aphids where, among other functions, they provide protection against different parasitoid wasps. However, most of the evidence for this protection comes from laboratory experiments.</p> <p>2. Our aim was to understand how consistent protection is across different symbiont strains under natural field conditions and whether symbiont diversity enhanced the species diversity of colonizing parasitoids, as could be expected from the specificity of their protection.</p> <p>3. We used experimental colonies of the black bean aphid, Aphis fabae, to investigate symbiont conferred protection under natural field conditions over two seasons. Colonies differed only in their symbiont composition, carrying either no symbionts, a single strain of the protective symbiont Hamiltonella defensa, or a mixture of three H. defensa strains. These aphid colonies were exposed to natural parasitoid communities in the field. Subsequently, we determined the parasitoids hatched from each aphid colony.</p> <p>4. The evidence for a protective effect of H. defensa was limited and inconsistent between years, and aphid colonies harboring multiple symbiont strains did not support a more diverse parasitoid community. Instead, parasitoid diversity tended to be highest in the absence of H. defensa.</p> <p>5. Symbiont conferred protection, although a strong and repeatable effect under laboratory conditions, may not always cause the predicted bottom-up effects under natural conditions in the field.</p>
Data supporting "Can Long-Term Experiments Predict Real Field N and P Balance and System Sustainability? Results from Maize, Winter Wheat, and Soybean Trials Using Mineral and Organic Fertilisers"
<p>Data supporting "Can Long-Term Experiments Predict Real Field N and P Balance and System Sustainability? Results from Maize, Winter Wheat, and Soybean Trials Using Mineral and Organic Fertilisers" by Piccoli et al. (2021) Agronomy 2021, 11, 1472. https://doi.org/10.3390/agronomy11081472</p>
Database of non-target invertebrates recorded in field experiments of genetically engineered Bt maize and corresponding non-Bt maize: data files
<p><span>This database represents a comprehensive collection of experimental field data from all over the world on non-target invertebrates recorded in genetically engineered/modified Bt and non-Bt maize. The three data files deposited here are described by Meissle et al. (2022), BMC Research Notes, <span><a href="https://doi.org/10.1186/s13104-022-06021-3"><span>https://doi.org/10.1186/s13104-022-06021-3</span></a></span><span> </span>.</span></p> <p><span>The database was created for a systematic review with the question if growing Bt maize changes abundance or ecological function of non-target animals compared to growing of non-GM maize, published by Meissle et al. (2022), Environmental Evidence, <a href="https://doi.org/10.1186/s13750-022-00272-0"><span>https://doi.org/10.1186/s13750-022-00272-0</span></a></span>.</p> <p>Data file 1 contains the database with 7279 records of non-target invertebrate abundance, activity density, or predation or parasitism in Bt and non-Bt maize, extracted from 120 publications. Data file 2 includes the list and definitions of variables in the database, and data file 3 represents the critical appraisal questions and answer options.</p>
Is negative density-dependent reproduction regulated by density-induced stress in root voles? Two field experiments
<p>Density dependence in reproduction plays an important role in stabilising population dynamics via immediate negative feedback from population density to reproductive output. Although previous studies have shown that negative density-dependent reproduction is associated with strong spacing behaviour and social interaction between individuals, the proximal mechanism for generating negative density-dependent reproduction remains unclear. In this study, we investigated the effects of density-induced stress on reproduction in root voles. Enclosed Founder populations were established by introducing six (low density) and 30 (high density) adults per sex into per enclosure (four enclosures per density in total) during the breeding season from April to July 2012 and from May to August 2015. Faecal corticosterone metabolite (FCM) levels, reproductive traits (recruitment rate and the proportion of reproductively active indivuduals), and founder population numbers were measured following repeated live-trapping in both years. The number of founders was negatively associated with recruitment rates and the proportion of reproductively active indivuduals, displaying a negative density-dependent reproduction. FCM level was positively associated with the number of founders. The number of founder females directly affected the proportion of reproductive females , and directly and indirectly through their FCM levels affected the recruitment rate; the effect of the number of male founders on the proportion of reproductive males was mediated by their FCM level. Our results showed that density-induced stress negatively affected reproductive traits and that density-induced stress is one ecological factor generating negative density-dependent reproduction.</p>
Full-field displacements and strains obtained by digital image correlation during fatigue crack growth experiments
<p>This data publication contains full-field displacements and strains obtained by 3D digital image correlation (DIC) using a GOM Aramis 12M system including three fatigue crack propagation (fcp) experiments of AA2024-T3 aluminium sheet material.</p> <p>The repository consists of three datasets of different experiments named </p> <ul> <li>S<sub>950,1.6 </sub>- MT950 specimen, 1.6 mm sheet thickness, load ratios R=0.3, 1.0</li> <li>S<sub>160,2.0 </sub>- MT160 specimen, 2.0 mm sheet thickness, load ratios R=0.1, 0.25, 0.5, 0.75, 1.0</li> <li>S<sub>160,4.7 </sub>- MT160 specimen, 4.7 mm sheet thickness, load ratios R=0.1, 0.25, 0.5, 0.75, 1.0</li> </ul> <p>where S<sub>w,t</sub> denotes a middle tension (MT) specimen with width w and thickness t. The nodal DIC measurements at different times during the experiments are provided as .txt files we call <em>"nodemaps" </em>and stored in subfolders "<strong>Nodemaps</strong>". Each <em>nodemap</em> consists of a header containing meta data information like a running number (current stage index) or the applied force, followed by the nodal displacements and strains in tabular form. Additionally, the dataset S<sub>160,4.7</sub> contains crack path and crack tip labels for each nodemap in the subfolder "<strong>GroundTruth</strong>". The ground truth is provided as arrays of size 256x256. Each pixel of the array contains the label "2" for the class "crack tip", "1" for the class "crack path", or "0" for the class "background". These labels were created in a semi-manual fashion and can be used for machine learned crack detection using supervised training.</p> <p>These datasets were recently used to evaluate neural attention of convolutional neural networks trained on fatigue crack tip detection in <a href="https://www.nature.com/articles/s41598-022-13275-1">Melching et al. (Sci Rep, 2022)</a>. Additional guidance on data loading and usage can also be found at <a href="https://github.com/dlr-wf/explainable-crack-tip-detection">https://github.com/dlr-wf/explainable-crack-tip-detection</a>.</p> <p>The experiments S<sub>160,2.0</sub> and S<sub>160,4.7 </sub>were conducted and analysed by <a href="https://doi.org/10.1111/ffe.13433">Strohmann et al. (FFEMS, 2021)</a>.</p> <p>The experiment S<sub>950,1.6</sub> was conducted and analysed by <a href="https://doi.org/10.1111/ffe.13335">Breitbarth et al. (FFEMS, 2020)</a>.</p>
LPCA beach morphological evolution during October 2018 field experiment
<p>LPCA beach morphological evolution during October 2018 field experiment. <strong>(a)</strong> Time exposure (timex) image consisting of averaged pixel intensity over the record length of the stack and <strong>(b)</strong> standard deviation image showing the amount of change in pixel intensity over the record length of the stack in order to highlight preferential wave breaking. The magenta line indicates the zero-elevation contour relative to NGF-IGN69. <strong>(c)</strong> Kalman-filtered cBathy video-derived bathymetries. Elevation contours are spaced at 0.5 m intervals relative to NGF-IGN69. <strong>(d)</strong> Bathymetric change maps; difference between cBathy-derived bathymetries (panel c) and the cBathy-derived bathymetry from 8/Oct/2018 07:30:00 GMT, where red colors indicate sand accretion and blue colors sand erosion with respect to 8 October 2018 video-derived bathymetry. <strong>(e)</strong> Offshore significant wave height H<sub>s</sub> (red line; left axis), tidal elevation (blue line; right axis), 12-h-averaged alongshore wave energy flux P<sub>long</sub> (green line; right axis) and 12-h-averaged angle of peak wave incidence θ<sub>p</sub> (purple line; right axis) time series.</p>
DATA - Modern manufacturing enables magnetic field cycling experiments and parahydrogen induced hyperpolarization with a benchtop NMR
<p>Datasets and software for the publication "Modern manufacturing enables magnetic field cycling experiments and parahydrogen induced hyperpolarization with a benchtop NMR"</p>
Data from: A field experiment exploring disturbance-and-recovery, and restoration methodology of Zostera capensis to support its role as a coastal protector
<p>This DRYAD data set covers statistical analysis for the study, "Seagrass restoration experiment to support coastal protection." </p> <p>Dataset attached covers row data regarding field experiments carried out to demonstrate the time needed for the seagrass to recover after disturbance (imitation of anthropogenic impact). The data is centered on showing the evolution (increase) of seagrass shoot density after a quantified period (time series over a year) where the pressure to seagrass is halted. Halting of pressure would resemble a total ban or reduction of anthropogenic impact of digging and revolving of seagrass; action carried out by communities, aiming to collect clams and other shellfish. This data covers also variation in sediments and epiphytes. </p> <p>Additional data is provided on the seagrass restoration methodology that was added to the above-mentioned experiment. The IUCN Red listed Vulnerable seagrass species, <em>Zostera capensis</em> was tested using the plug method (a sediment-based methodology). Two size plugs, made of PVC tube, were tested: 4.5 cm and 7.5 cm diameter size, over a 12-month period (measurements carried out on four occasions). The 7.5 PVC tube experiment revealed a higher survival rate and is therefore a more suitable method for future <em>Z. capensis </em>restoration in impacted areas.</p> <p>These data can be re-used as long as it cites the original data (this paper). To comply with best practices, we recommend mentioning the source of the data.</p>
Intraspecific plant-soil feedback in four tropical tree species is inconsistent in a field experiment
<p>Soil microbes can influence patterns of diversity in plant communities via plant-soil feedbacks. Intraspecific plant-soil feedbacks occur when plant genotype causes variation in soil microbial composition, resulting in differences in the performance of seedlings growing near their maternal plants versus seedlings growing near non-maternal conspecific plants. How consistently such intraspecific plant-soil feedbacks occur in natural plant communities is unclear, especially under variable field conditions. We conducted an in situ experiment with four native tree species on Barro Colorado Island (BCI), Panama. Seedlings of each species were transplanted beneath their maternal tree or another conspecific tree in the BCI forest. Mortality and growth were assessed at the end of the wet season (~4 months post-transplant) and at the end of the experiment (~7 months post-transplant). Differences in seedling performance among field treatments were inconsistent among species and eroded over time. Effects of field environment were detected at the end of the wet season in two of the species: <em>Virola surinamensis</em> seedlings had higher survival beneath their maternal tree than other conspecific trees, while the opposite pattern was found in <em>Ormosia macrocalyx</em>. However, these differences disappeared by the end of the experiment. Our results suggest that intraspecific plant-soil feedbacks may not occur consistently under field conditions in tropical tree species and may have a limited role in determining seedling performance in tropical tree communities. Future studies are needed to elucidate the environmental and genetic factors that determine the incidence and direction of intraspecific plant-soil feedbacks in plant communities.</p>
PVLAB: Remotely Sensed Surface Currents from Field Experiments (2013, 2018, 2021, 2022)
<p>This archive contains 2-min mean remotely sensed surface currents generated using optical imagery and PIV (Dooley et al., 2024) from field experiments (2013, 2018, 2021, 2022) occurring at the U.S. Army Corps of Engineers Field Research Facility, in Duck, NC. The README.txt file contains information regarding variables found in the MATLAB (PVLAB_PIV_SurfaceFlows.mat) file, including estimate locations, units, and timestamps.</p> <p>Estimates were generated at times with appropriate conditions for remote sensing (e.g., sufficient foam tracer) that were within 1-day of measured bathymetry at the field site. Additional data for the field site (obtained by the USACE Field Research Facility or by NOAA) including the measured bathymetry and wave conditions can be found at: https://chlthredds.erdc.dren.mil/thredds/catalog/frf/catalog.html</p> <p>Remote sensing estimates are not perfect and errors in filtering out bad data are possible. Please reach out to Ciara Dooley at cdooley@whoi.edu, Steve Elgar at selgar@mac.com, and Britt Raubenheimer at braubenheimer@whoi.edu if you have any questions. Additionally, the optical imagery (large dataset, many TBs) used to generate flow estimates can be accessed by contacting the authors.</p> <p> </p>
Figure 5 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic
Figure 5. Landing areas of the drifters (left) and their percentage distribution (right).
Figure 3 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic
Figure 3. Map of the study region showing CTD stations and ADCP transects.
Figure 2. 2015 in Concurrent Field Experiments and Satellite Surveys for Assessing Environmental Risk in the Coastal Zone of Southeast Baltic
Figure 2. 2015 traffic density map of southeast Baltic (© Marine Traffic).
Data on the acoustic field in experiments with an acoustic vortex in the air
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