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78 results for “field response”
Evaluating rose yield responses to compost treatments: Data from an 18-month field study in Kenya
<p>This dataset and these scripts supports the manuscript 'Modelling cut rose yield after compost amendment over an 18-month period using repeated sigmoidal Gompertz curve fitting' by Evy de Nijs, Roland Bol, Albert Tietema & Emiel van Loon. </p> <p>Roses are an important crop for the floricultural sector of Kenya. Roses are a perennial crop and under continuous production for six to ten years. To optimize rose production, it is essential to understand how different management practices impact yield over time. This dataset contains a detailed record of rose yield data collected in an 18-month large-scale field experiment. The aim of this experiment was to evaluate the effect of pre-planting compost amendment on the yield and quality of cut roses. It was conducted in a polythene greenhouse near lake Naivasha, Kenya. Yield data included the number of stems harvested per day per flowering bed. Data presented here offer a comprehensive view of the impacts of different compost treatments on the yield of cut roses. Combined with the offered scripts, this is the framework presented in the aforementioned manuscript. This approach allows to use repeated growth curves to analyze yields compared to a baseline General Additive Model. </p> <p> </p> <p>de Nijs, E. A., Tietema, A., Bol, R., & van Loon, E. E. (2025). Modeling Cut Rose Yield Over an 18‐Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting. <em>Plant‐Environment Interactions</em>, <em>6</em>(3), e70049.</p>
Soil organic carbon and nutrient dynamics in response to anaerobic digestate application to farm fields, Eastern Iowa, 2011-2023
This dataset documents a long-term, field-scale study of anaerobic digestate application on commercial croplands in eastern Iowa, USA. It includes detailed records of digestate composition, application rates, and timing, as well as soil test results collected over a 12-year period (2011–2023) from 14 agricultural fields. The dataset supports analysis of soil organic carbon (SOC), nutrient dynamics, and isotopic composition in response to digestate inputs. It contains 421 georeferenced soil samples, digestate nutrient profiles, field management histories, and spatial boundaries. The data were collected as part of a collaborative effort between researchers at Iowa State University and Sievers Family Farms to evaluate the agronomic and environmental implications of integrating anaerobic digestion into row crop and livestock systems.
Dataset and supplementary files - Behavioral response of chub (Squalius cephalus), barbel (Barbus barbus) and brown trout (Salmo trutta) to pulsed direct current electric fields and resulting optimal waveform for use at electrified bar racks
<p><strong>Behavior Library.zip: </strong>For each species and behavior observed during the experiments an exemplary video is provided. </p><p><strong>Behavior_all.pdf: </strong>Additional plots showing the thresholds for the first time each individual behavior was observed for all fish species and tested waveforms</p><p><strong>Species.pdf: </strong>Additional plot allowing direct comparison of observed thresholds for the tested species when subjected to different waveforms. </p><p><strong>data.csv:</strong> All data necessary to reevaluate the conducted experiments. The dataset consists of</p><ul><li>Experiment ID</li><li>waveform - indicating the set of electrical parameters used</li><li>fish species and fish id </li><li>behavior - observed behavior</li><li>time from and time to - time in s after the start of the experiment that a behavior was started and ended respectively</li><li>type - point or interval referring to whether a behavior is considered instantaneous or continuous</li><li>voltage - applied voltage at the start of the given behavior</li><li>experiment_timestamp - date and time of the start of the experiment</li><li>breathing rate start - breathing rate at the start of the experiment</li><li>water conductivity - water conductivity at a reference temperature of 25°C [muS/cm]</li><li>water temperature [°C]</li><li>breathing rate end - breathing rate at the end of the experiment</li><li>meta behavior - assigned category of meta behavior based on the observe behavior category</li><li>standard length, total length and height - standard length, total length and height of the tested fish in [mm]</li><li>volume - calculated fish volume based on the measured length and height and an assumed elliptical form of the fish</li><li>Fangdatum - Date of catch</li><li>t.Pulse - pulse length of the tested waveform [ms]</li><li>Frequency - Frequency of the tested waveform</li><li>N.Pulses.Group - Number of pulses per group of pulses for the waveform pattern</li><li>t.Gap - time between two pulses within a group of pulses [ms]</li><li>DutyCycle - Percentage of time current is flowing for a given waveform. Calculated based on the waveform parameters</li><li>usage - first, second or third time a fish was used in the experiments. </li><li>field strength - field strength at the time of this behavior calculated based on the applied voltage</li><li>c_w ambient water conductivity [muS/cm]</li><li>p_d - power density calculated based on the field strength and the ambient water conductivity</li><li>p_t - power transferred to the fish calculated based on the field strength, the ambient water conductivity and an assumed conductivity of the fish of 115 muS/cm</li></ul><p> </p><p> </p>
Light response curves measured from shoots harvested at three levels in the canopy from 19 1m x 1m plots dominated by S. pulchra or B. nana shrubs near LTER Shrub plots at Toolik Field Station, AK the summer of 2012.
This dataset contains light response curves and modeled light curve parameters from shoots clipped from low, mid, and the top parts of tall, shrub canopies dominated either by Salix pulchra or Betula nana. Six shoots were harvested from each 1m x 1m plot, two from each level in the canopy in plots located near the LTER shrub plots at Toolik Field Station, AK the summer of 2012. The species harvested were chosen based on the species present in each plot, thus the species from each segment of the canopy may not be the same. Additional information about each shoot can be found in the "2012_GS_ITEX_PF_ShootA-CiData" and "2012_GS_ITEX_PF_ShootHarvestData" pages, regarding the A-Ci response, area, mass, leaf area index, and leaf nitrogen content of each shoot. The file "2012_GS_ITEX_PercentCover" contains the species cover data for each plot.
The role of down-slope water and nutrient fluxes in the response of Arctic hill slopes to climate change, output from MBLGEMIII for typical tussock-tundra hill slope near Toolik Field Station, Alaska.
Output data sets of the MBL-GEM III model for a typical tussock-tundra hill slope. The model is described in two papers: Le Dizès, S., Kwiatkowski B.L., Rastetter E.B., Hope A., Hobbie J.E., Stow D., Daeschner S., 2003 Modelling biogeochemical responses of tundra ecosystems to temporal and spatial variations in climate in the Kuparuk River Basin (Alaska), Journal of Geophysical Research Vol. 108 No. D2 10.1029/2001JD000960. Rastetter, E.B., B. L. Kwiatkowski, S. Le Dizès, and J.E. Hobbie. 2004. The Role of Down-Slope Water and Nutrient Fluxes in the Response of Arctic Hill Slopes to Climate Change. Biogeochemistry 69:37-62.
Data from: Annual species' experimental germination responses to light and temperature do not correspond with their microhabitat associations in the field
<p>Annual species have evolved sets of germination cues that are thought to be predictive of the post-germination environment. In naturally patchy environments, germination microsites often vary considerably in the amount of light they receive and in the diurnal temperature fluctuations they experience. However, whether species' differential germination responses to light and temperature are associated with their spatial patterns of occurrence remains largely untested.</p> <p>We surveyed species' occurrences in annual plant communities in 150 quadrats across gradients of canopy cover and litter cover. Nineteen species recorded in this survey were then included in a germination experiment that manipulated (1) Light vs. Dark (12h light or continuous dark) approximating seeds near the soil surface versus those covered by litter and (2) Cold vs. Warm temperature regimes (7/18 °C and 7/24 °C) approximating diurnal fluctuations experienced in shaded versus sun-exposed microsites, respectively.</p> <p>In the germination experiment, six species had highest germination probabilities in the Light treatment (regardless of temperature), five in <em>Cold</em> + <em>Light</em>, one in <em>Warm</em> + <em>Light</em>, two were indifferent to the treatments, and four did not germinate at all. Binomial linear mixed-effects models showed that species' maximum responses to light and temperature did not explain their spatial distributions along canopy cover and litter cover gradients, contrary to theoretical expectations of germination being a strong driver of species' occurrences.</p> <p>Despite variation in species' responses to experimental treatments, no association was found with their field microsite associations. Germination strategies in our system were wider than expected for Mediterranean systems. Our results support that germination cues are not strong drivers of microhabitat associations in this system.</p>
A field study of the molecular response of brown macroalgae to heavy metal exposure: an (epi)genetic approach
<p>We used next-generation sequencing to study DNA methylation changes and DNA sequence variation (SNPs) in thalli from four populations of the brown macroalgae <em>Fucus vesiculosus</em> reciprocally transplanted between two polluted and two unpolluted sites. For this, we performed reduced representation bisulfite DNA sequencing.</p>
Room Impulse Responses for Low-Frequency Sound Field Control
<h2>About</h2> <div> <div> <div> <p>A dataset of room impulse responses (RIRs) measured in the low frequency range, for different measurement signal lengths, in two rooms with different acoustic conditions. Acquired with the purpose of low-frequency sound zones rendering and evaluation, the dataset can be used in general for different sound field control methods.</p> <p>By design, the dataset is composed of two sets of RIRs: one intended for the design of the control strategies, and another one intended for evaluation [1]. The RIRs of the first set, obtained with measurement signals of different length, allow exploring the influence of the acquisition time of the RIRs in the control methods [2]. The RIRs of the second set allow evaluating the sound field generated at and around the position of the RIRs of the first set.</p> <p>The RIRs were acquired with the Synchronized Swept-Sine (SSS) method, proposed by Novak et al. [3], at a samplig frequency of 48 kHz with SSS signals varying from 15 Hz to 600 Hz. The obtained RIRs were re-sampled to 1.2 kHz.</p> <p>Two files with different contents have been added:</p> <ul> <li><strong>RIR_LF_SFC_Light:</strong> contains the documentation, MatLab codes, and the ready-to-use RIRs stored as 3D-arrays in .mat files.<br><br></li> <li><strong>RIR_LF_SFC_Full:</strong> in addition to files in <strong>RIR_LF_SFC_Light</strong>, it contains the original SSS signals and the signals recorded during the measurements. These were used to retrieve the RIRs and therefore, can be used for custom purposes. <br><br></li> </ul> </div> </div> </div> <div> <h2>Citation</h2> <p>Please cite the database with the following paper:</p> <p>@inproceedings{cadavid_ATvsSS_2024,<br>title={Spatial Sampling versus Acquisition Time of Room Impulse<br> Responses for Low-Frequency Sound Zones},<br> author={Cadavid, Jos{\'e} and M{\o}ller, Martin Bo and van Waterschoot, Toon and Bech, S{\o}ren and {\O}stergaard, Jan},<br> booktitle={Audio Engineering Society Convention 156},<br> year={2024},<br> organization={Audio Engineering Society} }</p> <h2>Acknowledgements</h2> <p>The authors would like to thank <a href="https://orcid.org/0000-0002-1452-2227" target="_blank" rel="noopener">Antonin Novak</a>, <a href="https://orcid.org/0000-0002-2175-6603" target="_blank" rel="noopener">Christian S. Pedersen</a>, and Claus Vestergaard for their help with the RIRs measurements.</p> <p>This project has received funding from the European Union’s (EU) Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions Grant No. 956369.</p> </div>
Fig. 4 in Response to enantiomers of (Z3Z9)-6,7-epoxy-octadecadiene, sex pheromone component of Ectropis obliqua Prout (Lepidoptera: Geometridae): electroantennagram test, field trapping, and in silico study
Fig. 4. Pan trap catches of male Ectropis obliqua Prout baited with binary blends of racemic and enantiomers of Z3Z9-6,7-epo-18:Hy with triene in XianNing County, China. (A) Z3Z9-6S,7R-epoxy-18:H (6 μg) + Z3Z6Z9-18:H (4 μg); (B) Z3Z9-6R,7S-epoxy-18:H (6 μg) + Z3Z6Z9-18:H (4 μg); (C) blank lure (control). Data are mean ± SD (n = 8) of male E. obliqua trap catches in Xian-Ning County, China, May 2016 by 3 different combinations compared with water pan trap.
Fig. 1 in Response to enantiomers of (Z3Z9)-6,7-epoxy-octadecadiene, sex pheromone component of Ectropis obliqua Prout (Lepidoptera: Geometridae): electroantennagram test, field trapping, and in silico study
Fig. 1. Sex pheromone components of Ectropis obliqua Prout. (A) sex pheromone components; (B) enantiomers of Z3Z9-6,7-epo-18:Hy.
Fig. 5. Modeled 3D in Response to enantiomers of (Z3Z9)-6,7-epoxy-octadecadiene, sex pheromone component of Ectropis obliqua Prout (Lepidoptera: Geometridae): electroantennagram test, field trapping, and in silico study
Fig. 5. Modeled 3D structure and validation of EoblPBP1. (A) Sequence alignment of EoblPBP1 and template 1DQE_A. α-helices are displayed as squiggles. Identical residues are highlighted in white letters with deep blue background. (B) Overall structure of the EoblPBP1. Three disulfide bonds are in red. N-terminus, C-terminus, and α-helices are labeled. Two potential key residues: Thr117 and Arg 121 are in orange. (C) Ramachandran plot of EoblPBP1.
Data from: Annual species’ experimental germination responses to light and temperature do not correspond with their microhabitat associations in the field
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Data from: Site-level field of view is associated with altered anti-predator responses in farming damselfish
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Data from: Root responses to elevated CO2, warming, and irrigation in a semi-arid grassland: integrating biomass, length, and life span in a 5‐year field experiment
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iGluSnFR wide-field imaging responses to 2-72 Hz flicker
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Human ISMRMRD datasets for "MaxGIRF: Image Reconstruction Incorporating Concomitant Field and Gradient Impulse Response Function Effects"
<p>Human axial and sagittal ISMRMRD datasets for "MaxGIRF: Image Reconstruction Incorporating Concomitant Field and Gradient Impulse Response Function Effects".</p> <p>Code to process and reconstruct the data is available here: <a href="https://github.com/usc-mrel/lowfield_maxgirf">https://github.com/usc-mrel/lowfield_maxgirf</a></p>
Phantom ISMRMRD datasets for "MaxGIRF: Image Reconstruction Incorporating Concomitant Field and Gradient Impulse Response Function Effects"
<p>Phantom ISMRMRD datasets for "MaxGIRF: Image Reconstruction Incorporating Concomitant Field and Gradient Impulse Response Function Effects".</p> <p>Code to process and reconstruct the data is available here: <a href="https://github.com/usc-mrel/lowfield_maxgirf">https://github.com/usc-mrel/lowfield_maxgirf</a></p>
Table 2: Mean and Standard Deviation of Responses by Field of Knowledge and Parenting Practices
<p><strong><span>Table 2 of 13</span></strong></p> <p><strong><span>Table 2: Mean and Standard Deviation of Responses by Field of Knowledge and Parenting Practices </span></strong></p> <p> </p>
Fig. 2 in Response to enantiomers of (Z3Z9)-6,7-epoxy-octadecadiene, sex pheromone component of Ectropis obliqua Prout (Lepidoptera: Geometridae): electroantennagram test, field trapping, and in silico study
Fig. 2. Field trial of Ectropis obliqua Prout. (A) Water pan trap; (B) male moths captured.
Locomotor Responses of Utricular Mutants to High Magnetic Field Exposure
<p>Wild-type mice or head-tilt (het) or tilted (tlt) mutant mice were exposed to static 14.1 T magnetic field, or sham-exposed, for 30 min; locomotor activity was recorded for 2 minutes after exposure. The het and tlt mice lack otoconia in the inner ear, and are unresponsive to vestibular linear acceleration. After magnetic field exposure, wild-type mice and tlt mice show suppressed rearing and tight counter-clockwise circling. The het mutant mice do not show circling nor is their rearing suppressed. This suggests that otoconia, or a function that depends on otoconia, are required for full vestibular responsiveness to magnetic fields.</p>
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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.
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.