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113 results for “field distribution”
Fig. 2 in Diversity and spatial distribution of predacious Dolichopodidae (Insecta: Diptera) on organic vegetable fields and adjacent habitats in Brazil
Fig. 2. Mean abundance (± SE) of Dolichopodidae flies collected in different rural properties with vegetable crops, fallow, agroforestry, and native vegetation in the Federal District, Brazil.
Fig. 1 in Diversity and spatial distribution of predacious Dolichopodidae (Insecta: Diptera) on organic vegetable fields and adjacent habitats in Brazil
Fig. 1. Organic vegetable farms sampled in Ceilândia (I), Taguatinga (II), Paranoá (III), and Lamarão (IV), Federal District, Brazil.
Fig. 4 in Diversity and spatial distribution of predacious Dolichopodidae (Insecta: Diptera) on organic vegetable fields and adjacent habitats in Brazil
Fig. 4. Adjustment to the log normal distribution model of the Dolichopodidae assembly per habitat on organic farms producing vegetable in the Federal District, Brazil.
Fig. 3 in Diversity and spatial distribution of predacious Dolichopodidae (Insecta: Diptera) on organic vegetable fields and adjacent habitats in Brazil
Fig. 3. Distribution of relative abundance by species of Dolichopodidae flies collected on organic farms producing vegetables in the Federal District, Brazil.
Fig. 2 in Infestation and distribution of chigger mites on Chevrieri's field mouse (Apodemus chevrieri) in Southwest China
Fig. 2. Theoretical curve fitting for the species abundance distribution of chigger mite community on Chevrieri's field mice (Apodemus chevrieri) in southwest China (2001–2019).
Fig. 1. The 91 in Infestation and distribution of chigger mites on Chevrieri's field mouse (Apodemus chevrieri) in Southwest China
Fig. 1. The 91 investigation sites and the captured sites where Chevrieri's field mice (Apodemus chevrieri) were captured in southwest China (2001–2019).
Fig. 1 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 1. Map of the Punjab Province in Pakistan showing the locations of whitefly sample collections, and distribution of the Asia II-1 mitotype of Bemisia tabaci, represented by the star symbol.
Fig. 4 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 4. Median-joining network analysis of Asia II-1 sequences (= 0). Yellow circles indicate Bemisia tabaci haplotypes, and the size of the circle reflects relative abundance. The black lines indicate the extents of relatedness between haplotypes, and the red numbers placed on each line indicate the number of mutations.
Fig. 3 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 3. Corrected pairwise distances and number of haplotypes within Asia II-1 sequences per district. The error bars indicate the extent of the standard error.
Fig. 2 in Distribution of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) mitotypes in commercial cotton fields in the Punjab province of Pakistan
Fig. 2. Phylogenetic tree showing the relationship among members of the Bemisia tabaci complex found in Asia, based on the 3′-mitochondria cytochrome oxidase I gene (mtCOI-3′). All whiteflies collected for this study during 2014 to 2016, were identified as the Asia II-1 mitotype. The sequence of the Bemisia afer species was used as 'outgroup' to root the tree. The sequences in the upper-most collapsed clade clustered all of the sequences obtained in this study.
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
Open the record for dataset details and reuse information.
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>
Data related to publication "Coherent phase transfer for real-world twin-field quantum key distribution"
<p>These datasets have been used to produce Figure 3, 4 and 5 of manuscript: "Coherent phase transfer for real-world twin-field quantum key distribution". The files contain two arrays: time in seconds and normalised intensity.</p> <p>Explanation for "Data_fig3_XXX.txt": the files contains the raw data used to produce Fig. 3. The following timespans have been used:</p> <p>Data_fig3_stabilised.txt: t_start= 0.29 s, t_stop=0.292 s</p> <p>Data_fig3_unstabilised.txt: t_start=0.00225 s, t_stop=0.00424 s</p> <p>Explanation for "Data_fig4_XXX.txt" files: the procedure to obtain the phase deviation from the normalised interference is detailed in the text (Methods section). Datasets with different sampling rate have been combined to obtain the phase deviation on the long and short term.</p> <p>Explanation for "Data_fig5.txt": the files contains the raw data used to produce Fig. 5.</p>
Figure 6 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 6. Motion of colonies toward their relevant imperialist (AtashpazGargari 2009).
Figure 4 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 4. Flowchart of Imperialist Competitive Algorithm (AtashpazGargari 2009).
Figure 7 in Evaluation of geostatistical method and hybrid Artificial Neural Network with imperialist competitive algorithm for predicting distribution pattern of Tetranychus urticae (Acari: Tetranychidae) in cucumber field of Behbahan, Iran
Figure 7. Distribution of T. urticae in different stages of sampling.
Dataset: Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation
<p>This repository contains the files associated with the following article:</p> <p>Jesús Sandoval-Martínez, Ernesto I. Badano, Francisco A. Guerra-Coss, Jorge A. Flores Cano, Joel Flores, Sandra Milena Gelviz-Gelvez, Felipe Barragán-Torres, “Selecting tree species to restore forest under climate change conditions: complementing species distribution models with field experimentation”, submitted to <em>Journal of Environmental Management</em>.</p> <p><strong>Supplementary material 01 </strong>is a compressed file that contains two Microsoft Excel files with data that support the results of the study. A file correspond to <em>Vachellia pennatula</em> and the another file correspond to <em>Prosopis laevigata</em>. In both files, the first spreadsheet shows the occurrence data (latitude and longitude) used to calibrate the distribution model (SDM) of the corresponding species, the current values of the 19 bioclimatic variables associated with these coordinates and the Spearman correlation coefficients used to select the variables included in the SDM (selected variables are indicated in green). The second spreadsheet shows the current habitat occupancy probabilities of the target species estimated with the SDM at the geographic coordinates of occurrence points, while the table on the side shows the fraction of true presences dropping at the following probability categories: (1) habitat occupancy probabilities below 0.1 = unsuitable spatial units for the species, (2) habitat occupancy probabilities between 0.1 and 0.4 = barely suitable spatial units for the species, (3) habitat occupancy probabilities between 0.4 and 0.7 = moderately suitable spatial units for the species, and (4) habitat occupancy probabilities above 0.7 = highly suitable spatial units for the species. The third spreadsheet shows the one-thousand random geographic coordinates and the corresponding current and future habitat occupancy probabilities of each species. Future habitat occupancy probabilities are provided for three time periods (2041-2060, 2061-2080 and 2081-2100) at four radiative forcing levels each (2.6, 4.5, 7.0 and 8.5 W/m<sup>2</sup>).</p> <p><strong>Supplementary material 02 </strong>is a compressed file that contains a folder for <em>Vachellia pennatula</em> and another folder for <em>Prosopis laevigata</em>. Each of these folders contains the summaries of the MaxEnt outputs that support the results of the corresponding SDM.</p> <p><strong>Supplementary material 03 </strong>is a compressed Keyhole Markup Language file (KMZ) that contains interactive maps that are optimized for the desktop version of Google Earth. To accelerate visualization of maps, we recommend installing this software in a computer meeting the following requirements: CPU Intel Core i5 9<sup>th</sup> generation or higher, CPU clock speed 1.8 GHz or higher, random-access memory (RAM) 8 GB or higher, and video random access memory (VRAM) 1 GB or higher. Otherwise, opening this file may take several minutes. These maps are organized in a folder for <em>Vachellia pennatula</em> and another folder for <em>Prosopis laevigata</em>, which must be expanded for accessing the following information (click on the arrow on the left of folders to expand them):</p> <ul> <li><strong>Current climate </strong>– Activating this folder (click the fox on the left of the folder) display the map of habitat occupancy probabilities of species across Mexico under the current climate.</li> <li><strong>Period 2041-2060, 2061-2080 and 2081-2100 </strong>– Expanding each of these folders (click on the arrow on the left of folders) shows four subfolders that correspond to different radiative forcing levels (2.6, 4.5, 7.0 and 8.5 W/m<sup>2</sup>). Activating each of these sub folders (click the fox on the left of subfolders) display the map of habitat occupancy probabilities of species across Mexico expected on the corresponding time period and radiative forcing level. These maps also show the areas classified as climatically unsuitable in the multivariate environmental similarity surface (MESS) analysis. Clicking on the names of subfolders displays a figure showing the relationship between current and future habitat occupancy probabilities of the species on the corresponding time period and radiative forcing level. In these figures, the red line is the empirical relationship between these variables and the solid blue line is the theoretical relationship with intercept = 0 and slope = 1. The statistical results that support these relationships are also shown in these figures.</li> </ul> <p><strong>Supplementary material 04 </strong>is a compressed file that contains two Microsoft Excel files with data that support the results of the study. the file labeled as “Microclimate data” contains two spreadsheets, which correspond to the temperature and rainfall values measured in controls under the current climate and climate change simulation plots located of the field experiments. The file levelled as “Seedling emergence and survival” contains a spreadsheet for <em>Vachellia pennatula</em> and another one for <em>Prosopis laevigata</em>, which contains the data used to estimate the seedling emergence and survival rates in controls and climate change simulation plots.</p>
NaCl force field study: All the radial distribution functions and final configurations (PDB)
<p>The package contains all the radial distribution functions and final configurations (PDB) from our NaCl force field study</p> <ul> <li><a href="http://dx.doi.org/10.1002/jcc.10417">Systematic comparison of force fields for microscopic simulations of NaCl in aqueous solutions: Diffusion, free energy of hydration and structural properties</a>, M. Patra and M. Karttunen, physics/0211059. J. Comp. Chem. 25, 678-689 (2004) .</li> </ul> <p> </p> <p> </p>
Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique
<p>Data sets for the Publication 'Study on the effects of heterogeneous distribution of methane hydrate on permeability of porous media using low-field NMR technique' in Water Resources Research.</p>
Visualization of electric field distribution inside streamer zones of positive and negative lightning leaders
<p>This online storage contains numerous 3D visualizations of streamer coronas of positive and negative lightning leaders (figures named “3D”) along with 2D distributions of electric field inside and at the close vicinity of their streamer zones (figures named “2D”).</p> <p>In 3D figures yellow links are streamer channels growing from the leader tip (short red link). Solid red areas denote the volumes inside which electric field amplitude exceeds the air breakdown threshold amounting 2.9 MV/m at the considered altitude of 1 km above the mean sea level. Values in legends of each panel are (from left to right) percentage of horizontal links, streamer zone fractal dimension, leader channel sheath line charge density, and the maximal value of local electric field.</p> <p>2D figures present electric field distributions inside and at the close vicinity of streamer zones of positive and negative lightning leaders in x-z and y-z planes for the cases presented in Figs. “3D”. Upper panels visualize vector fields superimposed on equipotential lines. Bottom panels show electric field amplitudes. Dotted lines denote streamer corona borders in corresponding planes.</p> <p>In model realizations the vast majority of streamer zones of positive leaders does not have the areas with electric field exceeding the dielectric strength of air. However, only “successful” cases, in which the amplitudes of local electric field amplifications were bigger than 2.9 MV/m, are shown here.</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.