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6,452 results for “Application”
High Throughput Multispectral Image Processing with applications in Food Science
<p>Raw image samples for the PLoS ONE paper entitled "High Throughput Multispectral Image Processing with applications in Food Science".</p> <p>Segmented images for the PLoS ONE paper entitled "High Throughput Multispectral Image Processing with applications in Food Science".</p>
Bayesian analysis of resolved stellar spectra: application to MMT/Hectochelle observations of the Draco dwarf spheroidal
<p>supplementary data products, including all sky-subtracted spectra from individual targets, as well as random draws from posterior PDFs for model parameters (see enclosed README file)</p>
Data from ``Developments in Stochastic Coupled Cluster Theory: The initiator approximation and application to the Uniform Electron Gas''
<p>We describe further details of the Stochastic Coupled Cluster method and a diagnostic of such calculations, the shoulder height, akin to the plateau found in Full Configuration Interaction Quantum Monte Carlo. We describe an initiator modification to Stochastic Coupled Cluster Theory and show that initiator calculations can be extrapolated to the unbiased limit. We apply this method to the 3D 14-electron uniform electron gas and present complete basis set limit values of the CCSD and previously unattainable CCSDT correlation energies for up to $r_s=2$, showing a requirement to include triple excitations to accurately calculate energies at high densities.</p>
Isogeometric Analysis for the Multigroup Neutron Diffusion Equation with Applications in Reactor Physics
<p>Dataset for a comparison between Isogeometric Analysis and Finite Element Analysis applied to the Neutron Diffusion Equation.</p>
FIGURE 6. Male pleopod II in Development of sexual characters in the cave shrimp genus Troglocaris (Crustacea: Decapoda: Atyidae) and their applicability in taxonomy
FIGURE 6. Male pleopod II (plpII) appendices and pereopod III (ppIII) distal articles in T. (S.) prasence (Spra), T. (S.) kapelana (Ska), juvenile (jSne) and presumably adult (Sne) T. (S.) neglecta. While the maturity of T. (S.) prasence male is ascertained, for the males of T. (S.) neglecta and T. (S.) kapelana (full) maturity cannot be ascertained due to deficient number of specimens. Carapace length (in mm): jSne, 5.7; Sne, 6.3; Ska, 8.5; Spra, 7.7.
FIGURE 5 in Development of sexual characters in the cave shrimp genus Troglocaris (Crustacea: Decapoda: Atyidae) and their applicability in taxonomy
FIGURE 5. Endopodite of first pleopod in (a) juvenile (carapace length: 5.1 mm), (b) adult non-ovigerous (carapace length: 7.4 mm) and (c) ovigerous females (carapace length: 7.3 mm) in Troglocaris s. str. In ovigerous females, number and length of setae on protopodite, as well as on endo- and exopodite, are highly increased. Ai: to infer from its position, the distal extension should be appendix interna, which could be only elongated (c) or curved (b).
FIGURE 1 in Development of sexual characters in the cave shrimp genus Troglocaris (Crustacea: Decapoda: Atyidae) and their applicability in taxonomy
FIGURE 1. Two-dimensional plot generated from Principal Component Analysis (PCA) run on 49 specimens of Troglocaris s. str. from W-SloKaċna sample. In 43 males of different size (age) and 6 specimens of uncertain sex, 13 ratios are considered. Explanation of group abbreviations: U – juveniles of uncertain sex (i.e. without appendix masculina, sex is not identifiable); A – juvenile males with weakly developed appendix masculina; B – adult males (appendix masculina well developed, see also Figure 4). List of ratios is in Appendix C (under P).
FIGURE 3 in Development of sexual characters in the cave shrimp genus Troglocaris (Crustacea: Decapoda: Atyidae) and their applicability in taxonomy
FIGURE 3. Scatter dot plots of the untransformed characters from the two ratios (pr3tp – length of group of spiniform setae on widened distal part of pereopod III article 6 vs. length of article 6; and pl2amen – appendix masculina length vs. endopodite length, both on pleopod II), recognized as the most important for the separation of three age groups in Troglocaris s. str.
FIGURE 2 in Development of sexual characters in the cave shrimp genus Troglocaris (Crustacea: Decapoda: Atyidae) and their applicability in taxonomy
FIGURE 2. Two-dimensional plots generated from (a) DFA 1 run on 49 age-grouped specimens from W-SloKaċna with 141 age-ungrouped Troglocaris s. str. males from 6 phylogroups, considering 4 ratios (pr3tp, p3d, pl1enex, pl2amen); (b) DFA 2 run on 190 age-grouped Troglocaris s. str. specimens, considering 6 ratios (pr3p, pr3tp, p3d, pl2amen, pl2aien, pl2amai). In DFA 2, all specimens are graphically denoted by phylogroups. Explanation for characters' abbreviations is in Appendix C. U – juveniles of uncertain sex (i.e. without appendix masculina, sex is not identifiable); A – juvenile males with weakly developed appendix masculina; B – adult males (appendix masculina well developed, see also Figure 4).
Investigation of slip transfer across HCP grain boundaries with application to cold dwell facet fatigue
<p>Data for "Investigation of slip transfer across HCP grain boundaries with application to cold dwell facet fatigue"<br> http://dx.doi.org/10.1016/j.actamat.2017.01.021</p> <p>This Data folder contains 4 data files:<br> (1) Data_for_Figure_3.xlsx<br> (2) Data_for_Figure_4.xlsx<br> (3) Data_for_Figure_9.xlsx<br> (4) Data_for_Figure_13.xlsx</p> <p>-<br> If readers need further information, please feel free to contact:<br> zebang.zheng12@imperial.ac.u</p>
FIGURE 8 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 8. Scatter plots showing the volume (A), length (B), width (C) and depth (D) of zooidal and avicularian chambers automatically detected and measured on the virtual dataset (N = 16) for Smittina imragueni n. sp. As in Fig. 4, the horizontal axis represents an arbitrary numbering by the software Amira. A separation between zooidal (large values on the left) and avicularian chambers (small values on the right) is clearly visible.
FIGURE 9 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 9. Scatter plots showing length (A) and width (B) of orifices and frontal pores automatically detected and measured on the virtual dataset (N = 503) for Smittina imragueni, showing a distinction between those two entities, with some datapoints plotting in between (see Discussion). As in Fig. 4, the horizontal axis represents an arbitrary numbering by the software Amira.
FIGURE 7 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 7. Virtual reconstructions of the internal structure of Smittina imragueni n. sp. (paratype SMF 40010). A, broad side of a branch. B, narrow side of a branch. C, single autozooid with suboral avicularium. D, same as C, without the suboral avicularium. E, a single suboral avicularian chamber; the two frontal protuberances are frontal pores. F, automatically detected orifices and frontal pores. Scalebars: A, B, F, 500 µm; C, D, 250 Μm; E, 50 Μm.
FIGURE 6 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 6. SEM micrographs of Smittina imragueni n. sp. A, aspect of colony fragments (right, holotype SMF 40005; left, paratype SMF 40006). B, cross-section through a branch, showing thick secondary calcification and different profiles of zooidal chambers (paratype SMF 40007). C, interior view of primary orifice and suboral avicularium (SMF 40007). D, autozooids showing a relatively early developmental stage of the peristome (SMF 40010). E, secondary orifice with an intermediately developed peristome (SMF 40006). F, immersed secondary orifice late in ontogeny; note the vertical orientation of the avicularium (SMF 40007). G, ancestrular area (paratype SMF 40008). H, transition between encrusting and erect growth (paratype SMF 40009). Scalebars: A, 2 mm; B, G, 500 µm; C, E, 100 µm; D, F, H, 200 Μm.
FIGURE 5 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 5. Scatter plot showing the width of opesial (+) and rhizoidal (×) openings sorted by zooid rows (A) and columns (B) (N = 37) for Cellaria bafouri n. sp. The datapoints for opesiae not aligned to innermost or outermost columns, respectively, are those at a position in between.
FIGURE 4 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 4. Scatter plot showing the width (A) and length (B) of opesial and rhizoidal openings detected and measured from the virtual datamodel (N = 37) for Cellaria bafouri n. sp. The horizontal axis represents an arbitrary numbering of the measured entities by the Amira software.
FIGURE 3 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 3. Virtual reconstructions of the internal structure of Cellaria bafouri n. sp. (paratype SMF 40003). A–C, three views from different angles. In B, the branch is bent away from the viewer. D, enlargement of the centrodistal zooid in B. E, the same autozooid as in D, but from a different angle, showing the form of the rhizoidal tubules. Scalebars: A–C, 500 µm; D, E, 200 µm.
FIGURE 1 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 1. Charts showing the positions of all stations investigated based on MSM 16-3 multibeam surveys. Stations in bold font are those where either C. bafouri n. sp. or S. imragueni n. sp. occurred. Black areas in the insets A–H denote data gaps. The bathymetry of the overview map is from CleanTOPO2, http://www.shadedrelief.com/cleantopo2/.
FIGURE 2 in Two new species of erect Bryozoa (Gymnolaemata: Cheilostomata) and the application of non-destructive imaging methods for quantitative taxonomy
FIGURE 2. SEM micrographs of Cellaria bafouri n. sp. A, infertile segment (paratype SMF 40003). B, fertile autozooid (holotype SMF 40001). C, distal tip of an internode, showing the bases of the joints (SMF 40001). D, internode with distal autozooids having rhizoidal pores (SMF 40003). E, close-up of rhizoidal pores (SMF 40003). Scalebars: A, B, 250 µm; C, E, 100 µm; D, 500 µm.
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>
ScienceDex guides
Understand access before you commit
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.