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1,891 results for “Field data”
Clustering Data for Passive Tracers in Random Velocity Fields
<p>Contains the post-processed model output. All detected clusters from each individual model run used to compile statistics are included as well as python scripts to manipulate cluster objects and create figures.</p>
Figs 9 – 16 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure
Figs 9 – 16. Live specimens, Pholcus sabah Huber, 2011 (9 – 10), Ph. lintang Huber, sp. nov. (11 – 12) and Ph. erawan Huber, 2011 (13 – 16). 9. ♂ from Poring, Sabah. 10. ♂ from Sepilok, Sabah. 11 – 12. ♂ and ♀ from Bako, Sarawak. 13. ♂ from Khao Nan, Thailand. 14. Male from Erawan, Thailand. 15 – 16. ♂ and ♀ with egg-sac from Gunung Jerai, Malaysia.
Figs 1 – 8 in The Southeast Asian Pholcus halabala species group (Araneae, Pholcidae): new data from field observations and ultrastructure
Figs 1 – 8. Live specimens, Pholcus halabala Huber, 2011 (1 – 6) and Ph. ubin Huber, sp. nov. (7 – 8). 1. ♂ from MacRitchie, Singapore. 2. ♂ from Gunung Jerai, Malaysia. 3. ♀ with egg-sac from Gunung Liang, Malaysia. 4. Juvenile in web with silk tufts, Upper Selatar, Singapore. 5. ♀ with egg-sac from Hala Bala, Thailand. 6. ♀ with egg-sac from Ulu Dong, Malaysia. 7 – 8. ♂ and ♀ from Pulau Ubin, Singapore.
Data for "A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array"
<p>In a manuscript entitled “A New Method of Three-Dimensional Location for Low-frequency Electric Field Detection Array”, the lightning location data obtained by the low-frequency electric field detection array (LFEDA) were analyzed. The data of our results are including in the Data_for_Fig_0x.ogw. These files can be opened by Origin 9.0(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Jeanbille_et_al_2024_Exclusion_experiment_ANALYSIS: code and data for "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly"
<p>Release of code and data associated with the publication "Size exclusion experiment in a grassland field unravels top-down control of the soil fauna on microbial community assembly".</p>
Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor"
<p>Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor". For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Data for "Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression"
<p>The dataset for the manuscript titled</p> <p>"Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression".</p> <blockquote> <p>Oh, G. and Austin, P. H.: Quantifying the Oscillatory Evolution of Simulated Boundary-Layer Cloud Fields Using Gaussian Process Regression, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-352, 2024.</p> </blockquote> <p> </p> <p>The dataset contains input parameters used for the SAM LES model run (Khairoutdinov and Randall, 2003) based on the CGILS S2 parameters (CGILS.zip) and the main raw output used for the manuscript (clusters.zip). The latter contains a list of Parquet files for the 12-hour model run, sampled every minute. The raw output consists of the coordinates of all cloudy cells in the model domain, which is used to construct the cloud size distribution as described in the manuscript.</p>
Data from: People's appreciation of colorful field margins in intensively used arable landscapes and the conservation of plants and invertebrates
<p>Sown field margins can improve the conservation of biodiversity in rural areas and can contribute to the aesthetics of rural landscapes, thereby potentially increasing public support for agri-environmental measures. However, these two functions do not necessarily coincide. This raises the question whether field margins that are appreciated for their contribution to landscape aesthetics also deliver on the conservation of biodiversity. We conducted choice experiments with different groups of citizens and collected biodiversity data in the Netherlands, to investigate if the number of colors and vegetation cover in field margins increased respondents' appreciation for them, and how these visual cues correlated with taxonomic diversity and abundance of plants and invertebrates in those field margins. Using manipulated photos, we also assessed whether the presence of colorful field margins in a range of different rural landscapes increased respondents' appreciation of those landscapes. Respondents preferred colorful margins with high vegetation cover and showed a preference for green rural landscapes with colorful field margins. The presence of colorful field margins increased landscape aesthetics most in the least appreciated landscapes. The number of colors correlated positively with the diversity of sown and spontaneous plant species, and overall invertebrate abundance and abundance of predatory invertebrates, but was not related to invertebrate diversity. Our results show for the first time that colorful field margins support both public appreciation and diversity of plants and abundance of ground-dwelling invertebrates, with potential advantages to farmers in terms of natural pest control, at least in intensively used agricultural landscapes. However, management practices to maintain a high number of colors over time may be detrimental for invertebrate diversity. To optimize the different functions, we recommend that field margin layouts should consist of a perennial part that is allowed to develop over time, in combination with a part that is managed for its colorfulness.</p>
Density field data & VTK files for dislocation embedding analysis
<p>The dataset includes dislocation density field results and VTK files from the discrete dislocation dynamics (DDD) simulation of an FCC-based structure (Al).</p> <p>Various loading directions in compression ([100], [110], [111], [234]) and their misorientations (-10°, -5°, 0°, +5°, +10°) were analyzed using two different initial dislocation densities in the DDD simulation.</p> <p>Post-processing was done with two different discretizations, yielding a dataset with the following description:</p> <p><strong>ddd_8res_0deg </strong>— 8x16x8 discretization data with 0° misorientation.<br><strong>ddd_8res_p5deg</strong> — 8x16x8 discretization data with +5° misorientation.<br><strong>ddd_8ress_m5deg </strong>— 8x16x8 discretization data with -5° misorientation.<br><strong>ddd_8res_p10deg</strong> — 8x16x8 discretization data with +10° misorientation.<br><strong>ddd_8res_m10deg </strong>— 8x16x8 discretization data with -10° misorientation.</p> <p><strong>ddd_16res_0deg </strong>— 16x32x16 discretization data with 0° misorientation.<br><strong>ddd_16res_p5deg </strong>— 16x32x16 discretization data with +5° misorientation.<br><strong>ddd_16ress_m5deg</strong> — 16x32x16 discretization data with -5° misorientation.<br><strong>ddd_16res_p10deg </strong>— 16x32x16 discretization data with +10° misorientation.<br><strong>ddd_16res_m10deg </strong>— 16x32x16 discretization data with -10° misorientation.</p> <p><strong>config1</strong> — \(2.5 \times 10^{13} \text{ m}^{-2}\)<br><strong>config2 </strong>— \(1 \times 10^{14} \text{ m}^{-2}\)</p> <p>This dataset complements a related publication as additional information. The link to the publication will be made available after it is published.</p>
Data from: Field-realistic exposure to the novel insecticide flupyradifurone reduces reproductive output in a bumblebee (Bombus impatiens)
<p>Novel insecticides are continuously being developed for application in response to increased legal restriction of previously developed insecticides and resistance in target insects. These novel insecticides, such as flupyradifurone (FPF), remain relatively untested on non-target organisms, including bumblebees. Further, existing tests on honeybees tend to focus on adult mortality, and thus sub-lethal effects, such as impacts on reproductive output, are neglected, despite their importance for population-level impacts. To address if the novel insecticide FPF has sub-lethal effects on bumblebee reproduction and behavior, we established microcolonies and chronically exposed them to field-realistic concentrations over a 14-day period. We found that exposure to FPF reduced the bumblebees' reproductive output in terms of the number of larvae produced and the mean mass of each larval instar. FPF-treated bees also stored less sucrose and constructed fewer honeypots. However, adult bumblebee mortality was similar between control and FPF-exposed microcolonies. Our results show that field-realistic FPF exposure leads to increased larval mortality and/or delayed larval development, as well as reduced nectar storage, without affecting adult mortality. Policy implications: Insecticides that impair bumblebee reproduction can have long-term population-level consequences, even if adult bees do not experience increased mortality. Despite this fact, sub-lethal effects, such as impacts on reproduction, are not mandatorily assessed within the regulatory process. Our findings highlight the importance of determining sub-lethal effects of pesticides across developmental stages, as well as using pollinator species other than honeybees within the regulatory process.</p>
Table presenting field data, isotopic data and 10Be exposure ages of cliffs and caprock-derived boulders sampled on the southern slope of the mesa of Szczeliniec Wielki (Central Sudetes, Stołowe Mountains, SW Poland)
<p><span>This research was funded by National Science Centre, Poland, research project no. 2020/39/D/ST10/00861.</span></p> <p><span>The data in the table presents the results of cosmogenic </span><sup><span>10</span></sup><span>Be exposure dating of cliffs and hillslope boulders resting on the southern slope of the sandstone mesa of Szczeliniec Wielki (Central Sudetes, Stołowe Mountains, SW Poland). The total of 20 samples was collected with growing distance from the present-day cliff lines. The samples were collected in October 2021, whereas their treatment and analyses were conducted in the following months at the University of Zurich (UZH) and ETH Zurich, Switzerland.</span></p> <p> </p> <p> </p>
Estimating carbon stock in unmanaged forests using field data and remote sensing
<p><span>The data used for the study "<strong>Estimating carbon stock in unmanaged forests using field data and remote sensing</strong>" by Thomas Leditznig et al. is published here.</span></p> <p><span><strong>Abbstract:</strong> </span><span>Unmanaged forest ecosystems play a critical role in addressing the ongoing climate and biodiversity crises. As there is no commercial interest in monitoring the health and development of such inaccessible habitats, low-cost assessment approaches are needed. We used a method combining RGB imagery acquired using an Unmanned Aerial Vehicle (UAV), Sentinel-2 data and field surveys to determine the carbon stock of an unmanaged forest in the UNESCO World Heritage Site wilderness area <em>Dürrenstein-Lassingtal</em> in Austria. The entry-level consumer drone (DJI Mavic Mini) and free of charge Sentinel-2 multispectral datasets were used for the evaluation. We merged the Sentinel-2 derived vegetation index NDVI with aerial photogrammetry data and used an orthomosaic and a Digital Surface Model (DSM) to map the extent of woodland in the study area. The Random Forest (RF) Machine Learning (ML) algorithm was used to classify land cover. Based on the acquired field data, the average carbon stock per hectare of forest was determined to be 371.423 ± 51.106 t of CO<sub>2</sub> and applied to the ML-generated classification. An overall accuracy of 80.8% with a Cohen’s kappa value of 0.74 was achieved for the land cover classification, while the carbon stock of the living Above-Ground Biomass (AGB) was estimated with an accuracy of -1.0% (± 5.9%). In conclusion, the proposed approach demonstrated that the combination of low-cost remote sensing data and field work can predict above-ground biomass with high accuracy. The results and the estimation error distribution highlight the importance of accurate field data.</span></p>
Density field data, VTK files and Jupyter notebook for dislocation embedding analysis (with periodic boundary condition)
<p><strong>pbc_dataset.zip</strong></p> <p>The density field data is only for 0 degrees of misorientation with loading directions along [100], [110], [111], [234]. </p> <p>Folder paths for low density and low resolution simulation are:</p> <ol> <li>0deg/dir100/2.5e+13/config3/10x10x10</li> <li>0deg/dir110/2.5e+13/config3/10x10x10</li> <li>0deg/dir111/2.5e+13/config3/10x10x10</li> <li>0deg/dir234/2.5e+13/config3/10x10x10</li> </ol> <p>Folder paths for high density and high resolutions are:</p> <ol> <li>0deg/dir100/1e+14/config1/20x20x20</li> <li>0deg/dir110/1e+14/config1/20x20x20</li> <li>0deg/dir111/1e+14/config1/20x20x20</li> <li>0deg/dir234/1e+14/config1/20x20x20</li> </ol> <p>Each set of simulation has 2000 density field data files. Total files : 16000</p> <p>Please ensure that above paths are entered in the Jupyter notebook script file.</p> <p> </p> <p><strong>vtk.zip</strong></p> <p>VTK files for each simulation. Each simulation has 2000 files. </p> <p><strong>Dislocation_embeddings_pbc.ipynb</strong></p> <p>Jupyter notebook to generate dislocation embeddings for uploaded dataset.</p> <p> </p>
Data - Magnetic-field-assisted nanochain formation of intermixed catalytic CoPd nanoparticles
<p>This DOI address contains data regarding the manuscript entitled "Magnetic-field-assisted nanochain formation of intermixed catalytic CoPd nanoparticles", published in TBD</p> <p>Authors: Calle Preger, Lisa Rämisch, Johan Zetterberg, Sara Blomberg and Maria E. Messing</p> <p>This DOI contains:</p> <ul> <li>XEDS results used for histogram in Figure 2</li> <li>SEM images used for data points in Figure 3</li> <li>Results from simulations providing solid line in Figure 3</li> </ul>
Data for "Effect of Electric Fields on the Decomposition of Phosphate Esters"
<p>Data from nonequilibrium molecular dynamics simulation of tri(n-butyl)phosphate confinid between two iron oxide surfaces at 1100 K, with and without an electric field, from "Effect of Electric Fields on the Decomposition of Phosphate Esters". Other conditions, and simulations with nascent iron surfaces, are available on request.</p> <div> <p>The data contains the reaxff bonding information from reaxff (bonds_*.txt), the trajectories (dump_*.lammpstrj). Files with the name "comp" are used for production run calculations.</p> </div>
Dephasing-tolerant quantum sensing of transverse magnetic fields with spin qudits. Open data set
<p>Data supporting Figs. 1, 2, 3, 4 of the related manuscript.</p>
Experimental and calulated data for "Dissociative ionization and post-ionization alignment of aligned O<sub>2</sub> in an intense femtosecond laser field"
<h3>raw_expt_data.itx</h3> <p>Raw data for the experimental result (delay dependence of time-of-flight spectra) as an Igor text file.</p> <h3>CTMC_PIA_a.itx, CTMC_PIA_b.itx</h3> <p>Lists of initial conditions (time, internuclear distance, polar angle, azimuth angle and conjugated angular velocities) of all the classical trajectories and results (index, initial polar angle, final polar and azimuth angles) of the dissociation trajectories as Igor text files.</p> <h3>GAMESS.zip</h3> <p>Input and output files for the quantum chemical calculations by GAMESS.</p>
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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.