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802 results for “Commercialization”
F I G U R E 4 in Toward optimising reproductive output of Eristalis tenax (Diptera: Syrphidae) for commercial mass rearing systems
F I G U R E 4 Time to first hatch (hours) and number of hatched larvae per egg cluster (mean ± SE) for Eristalis tenax egg clusters reared at 12 (n = 6), 16.5 (n = 5), 21.5 (n = 6), 25.5 (n = 5), 30 C (n = 6). Letters indicate significant differences in time to first hatch (bold) and hatched larval output at each temperature (p <0.05).
T A B L E 1 in Toward optimising reproductive output of Eristalis tenax (Diptera: Syrphidae) for commercial mass rearing systems
T A B L E 1 Summary of percentage of females mated, observed total egg cluster count and expected total egg cluster count proportionate to the number of females per cage, and differences between observed and expected egg cluster counts (% of expected) for Eristalis tenax at three different sex ratio treatments: 20:40, 30:30 and 40:20 female to male.
F I G U R E 3 in Toward optimising reproductive output of Eristalis tenax (Diptera: Syrphidae) for commercial mass rearing systems
F I G U R E 3 Percentage of total Eristalis tenax egg cluster output per week from eclosion, from four cages in the 30:30 sex ratio treatment (n = 196) and three cages in the 60 fly per cage stocking density treatment with a 1:1 sex ratio (n = 62).
F I G U R E 2 Survival curves for female Eristalis tenax flies observed for 11 in Toward optimising reproductive output of Eristalis tenax (Diptera: Syrphidae) for commercial mass rearing systems
F I G U R E 2 Survival curves for female Eristalis tenax flies observed for 11 weeks in four adult density treatments; 15:15 (n = 45), 30:30 (n = 90), 60:60 (n = 180), 120:120 (n = 360). Letters indicate significant differences (p <0.05) between survival curves of treatments.
F I G U R E 1 in Toward optimising reproductive output of Eristalis tenax (Diptera: Syrphidae) for commercial mass rearing systems
F I G U R E 1 Percentage of mated Eristalis tenax females in a captive population over time following eclosion (mean ± SE); 2 weeks (n = 15), 4 weeks (n = 29), 5 weeks (n = 15), 7 weeks (n = 4), 9 weeks (n = 16).
Fig. 3 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 3. Bioconcentration factor (Bf) among trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
Fig. 2 in Mercury bioaccumulation in fish of commercial importance from different trophic categories in an Amazon floodplain lake
Fig. 2. Mean levels of total mercury in fish from different trophic categories in the Lago Grande de Manacapuru, in the Amazon floodplain. DET, Detritivores; HER/FRU, Herbivores/ Frugivores; ONI, Omnivores; ONI/FRU, Omnivores/ Frugivores; ONI/INS, Omnivores/Insectivores; PLA, Planktivores; CAR/PIS, Carnivores/Piscivores; PIS, Piscivores; CAR/NEC, Carnivores/Necrophagous.
Library of price and performance data of domestic and commercial technologies for low-carbon energy systems
<p>This library consists of extensive price and performance data of commercially available technologies for low-carbon energy systems on the UK market, including domestic and commercial applications. All information is obtained from published manufacturer datasheets and pricelists. The library contains useful information for energy-system and technology modellers in their efforts to capture the techno-economic characteristics of different technology options, minimise uncertainties and suggest reliable system- and technology-design strategies.</p> <p>The data analysis shows how technology characteristics vary with component choice, technology size and to capture the spread of values found between different suppliers, which can be used to determine uncertainty bounds on key performance indicators. Fitting techniques can be used to determine relationships arising from the collected data, infer values for which data are not available and quantify the related variability in technology characteristics.</p> <p>This work was conducted by members of the <a href="https://www.imperial.ac.uk/clean-energy-processes/">Clean Energy Processes (CEP) Laboratory</a> and is part of Project 2 of the <a href="https://www.imperial.ac.uk/energy-futures-lab/idles/">Integrated Development of Low-Carbon Energy Systems (IDLES)</a> project. IDLES brings together researchers across Imperial College London and partner organisations and companies to provide the evidence needed to facilitate a cost-effective and secure transition to a low-carbon future. The overarching aim of Project 2 is: (i) to characterise current and new/future technologies in terms of cost and performance to provide evidence for whole-energy system modelling; and (ii) to extend the capabilities of whole-energy-system models so that they can, apart from optimising energy network infrastructures, provide information to manufacturers about the optimal choice of materials, components and the design of key technologies.</p> <p>The library will be updated regularly as more data regarding existing and new technologies are collected.</p>
Supplementary material for: "Assessment of linkage disequilibrium patterns between structural variants and single nucleotide polymorphisms in three commercial chicken populations"
<p>Supplementary material for the publication "Assessment of linkage disequilibrium patterns between structural variants and single nucleotide polymorphisms in three commercial chicken populations"</p> <p>The realated preprint can be found at Research Square (<a href="https://doi.org/10.21203/rs.3.rs-861830/v1">https://doi.org/10.21203/rs.3.rs-861830/v1</a>)</p> <p>Supplementary file 1: Supplementary results, tables and figures.</p> <p>Supplementary file 2: MultiQC report.</p> <p>Supplementary file 3: Observer concordance of the visual filtering step.</p> <p>Supplementary file 4: Snakemake workflow and scripts.</p> <p> </p>
Size data for Chinook salmon caught in the Tengu Derby and Puget Sound commercial purse seine fisheries
<p>The tengu_derby_size.csv file contains information on the following fields (columns):</p> <ol> <li>year</li> <li>members (number of anglers who participated in the derby; not all anglers fished each day the derby was open)</li> <li>n_over_10 (total number of Chinok salmon greater than 10 pounds)</li> <li>n_over_5 (total number of Chinok salmon greater than 5 pounds)</li> <li>size_1 (mass in kg of the largest fish landed)</li> <li>size_2 (mass in kg of the second largest fish landed)</li> <li>size_3 (mass in kg of the third largest fish landed)</li> <li>size_4 (mass in kg of the fourth largest fish landed)</li> <li>size_5 (mass in kg of the fifth largest fish landed) </li> </ol> <p>The wdfw_size.csv file contains the following fields (columns):</p> <ol> <li>year</li> <li>mass (mean mass in kg of natural- and hatchery-origin Chinook salmon combined)</li> </ol>
Captive Rearing Success and Critical Thermal Maxima of Bombus griseocollis (Hymenoptera: Apidae): A Candidate for Commercialization?
<p><em>Commercialized bumble bees (Bombus) are primary pollinators of several crops within open field and</em></p> <p><em>greenhouse settings. However, B. impatiens is the only species widely available for purchase in North</em></p> <p><em>America. As an eastern species, concerns have been expressed over their transportation outside of their</em></p> <p><em>native range. Therefore, there is a need to identify regionally appropriate candidates for commercial crop</em></p> <p><em>pollination services, especially in the western U.S.A. In this study, we evaluated the commercialization</em></p> <p><em>potential of B. griseocollis, a broadly distributed species throughout the U.S.A., by assessing nest initiation</em></p> <p><em>and establishment rates of colonies produced from wild-caught gynes, creating a timeline of colony</em></p> <p><em>development, and identifying lab-reared workers’ critical thermal maxima (CT</em><em>Max</em><em>) and lethal temperature</em></p> <p><em>(ecological death). From 2019 to 2021, 70.6% of the wild-caught B. griseocollis gynes produced brood in a</em></p> <p><em>laboratory setting. Of these successfully initiated nests, 74.8% successfully established a nest (produced a</em></p> <p><em>worker), providing guidance for future rearing efforts. Additionally, lab-reared workers produced from wildcaught</em></p> <p><em>B. griseocollis gynes had an average CT</em><em>Max </em><em>of 43.5°C and an average lethal temperature of 46.4°C,</em></p> <p><em>suggesting B. griseocollis can withstand temperatures well above those commonly found in open field</em></p> <p><em>and greenhouse settings. Overall, B. griseocollis should continue to be evaluated for commercial purposes</em></p> <p><em>throughout the U.S.A.</em></p>
LiBforSecUse Data Release - Impedance spectra of life cycle tests of commercial 18650 cells
<p>The EMPIR project LiBforSecUse aimed to develop empirical measurement models to estimate the residual capacity of second-use Li-ion battery cells with impedance-based measurement and evaluation methods. The models have been established based on a series of life cycle tests of commercial 18650 (graphite/NMC) cells including regular impedance spectroscopy and capacity measurements. The measured data are made publicly available here. They can be downloaded to verify the models established within the project and they may be used for further investigations. However, the user is asked to pay tribute to the project and the researchers providing the data by citing this data source. A pdf file is added to give more detailed information on the data.</p>
Global nutrient cycling by commercially targeted marine fish (Le Mézo et al., 2022, Biogeosciences)
<p>Model outputs and code used for the study "Global nutrient cycling by commercially targeted marine fish" published in <em>Biogeosciences</em> (Le Mézo et al., 2022). </p> <ul> <li>composite4b_cycling_MCV3_PotH_LME_2010_R2_2010_fNPP7_ks24_p50_c7_newFNPP_Online_nruns_31 = model outputs with <ul> <li><strong>composite.maps</strong> contains the 2D fields</li> <li><strong>y200</strong> refers to fields at the pristine state and <strong>yglo</strong> to fields at the global peak catch.</li> <li><strong>dfish</strong> is the fish biomass in wet weight per gram (size class)</li> <li><strong>resp5</strong> is the cycling rate that was used in the paper (defined in the Methods section)</li> </ul> </li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/01_Mean_and_uncertainty_commercial_fish.mlx">Main_script.mlx</a> = main code used to compute the nutrient content and cycling of fish and the comparisons with other fields</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/size_bins_width.m">size_bins_width.m</a> = code used to compute the model size bin width</li> <li>data_annual.mat = NO3, PO4, NPP, C export fields</li> <li>composite_MCV3_PotH_LME_2010_R2_2010_fNPP7_ks24_p50_c7_newFNPP_Online_nruns_31.mat is the model outputs with <ul> <li>cyc.composite.maps.yglo.mean.harvest being the catch field at global peak catch</li> </ul> </li> <li>solublefraction_Mahowald2009_360x180.nc is the Fe deposition field</li> <li> Brahneyetal2015_nitrogenandphosphorus2x2annualdep_360x180.nc is the N deposition field</li> <li>mask_LME.mat is the mask of LME areas</li> <li>ocean_topaz_tracers.timmean.BOATS_grid_fed.nc is the modeled dissolved Fe concentrations in seawater by the TOPAZ model</li> <li>zeu_lee_modis_aqua_average_2002-2019.nc is the euphotic depth field used to compute the nutrient concentrations</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/woa05_nitrate_month.nc">woa05_nitrate_month.nc</a> is the NO3 field used to make the spatial interpolations of the Fe:C stoichiometric ratios.</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/mass_50sizes_boats.mat">mass_50sizes_boats.mat</a> is the mass of each size class of the BOATS model</li> <li><a href="https://zenodo.org/api/files/72a2b98c-e4e5-4282-9ffa-0a7a1717e009/Tables%20S2%20and%20S3.xlsx">Tables S2 and S3.xlsx</a> litterature compilation of values for N and P in fish and zooplankton</li> <li>Galbraith et al (2019) SI.pdf is the supplement to Galbraith et al. (2019) in which the data compilation for the Fe content of fish, zooplankton and phytoplankton can be found.</li> </ul>
Fig. 1 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 1. Lateral view of oreosomatids. A, Allocyttus folletti from the Emperor Seamounts, SNFR 22402, 289.8 mm SL; B, Allocyttus verrucosus from New Zealand, NSMT-P 41168, 187.2 mm SL; caudal peduncle of A. folletti; C, SNFR 10560, 293.4 mm SL, Emperor Seamounts, and that of A. verrucosus; D, NSMT-P 41168, 187.2 mm SL, New Zealand; nasal of oreosomatids; E, A. folletti, SNFR 10561, 347 mm SL, Emperor Seamounts; F, A. verrucosus, NSMT-P 113107, 238.4 mm SL, west coast of Australia. Abbreviations: NA, nasal; PN, posterior nostril.
Fig. 3 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 3. Lateral aspect (above) and abdomen (below) of Allocyttus folletti. A, SNFR 10560, 293.4 mm SL, Emperor Seamounts; B, CAS-SU 15377, holotype of Allocyttus folletti, off California, traced from Myers (1960: fig. 1). Arrows indicate the rows of scutes.
Fig. 2 in Identification of the Commercially Important Oreosomatid Fish (Zeiformes: Teleostei) of the Emperor Seamounts, with Comments on Diagnostic Characters of the Species
Fig. 2. Scales on mid-side of body in, (A) Allocyttus folletti, FAKU 72575, 397 mm SL, Emperor Seamounts, and (B) Allocyttus verrucosus, NSMT-P 113107, 238.4 mm SL, Australia; enlarged scales of dorsal-fin base (S-DFB) in (C) A. folletti, SNFR 22403, 289.3 mm SL, Emperor Seamounts, and (D) A. verrucosus, BSKU 48476, 136.5 mm SL, off South Africa.
Figure 2 in Economic injury level of date spider mite, Oligonychus afrasiaticus (Acari: Tetranychidae) on six commercial date cultivars
Figure 2. Regression between mite-day as an independent variable and fruits injury rate as a dependent variable in the different date cultivars studied in 2018.
A comparative study of commercially available, minimally invasive, sampling methods on Early Neolithic humeri analysed via palaeoproteomics
Open the record for dataset details and reuse information.
FIGURE 2 in Mislabeling, illegal capture, and commercialization of Atlantic goliath grouper (Epinephelus itajara) on the Brazilian coast using DNA barcoding
FIGURE 2 | Phylogram based on cytochrome oxidase I (COI) gene amplification using the Neighbor-Joining method. The evolutionary distances were computed using the Kimura 2-parameter model with 10,000 repetitions for samples collected in the northern (Pará State: Bragança Fish Market n = 16 and Curuçá n = 2) and southern (São Paulo: Cananéia Fish Market n = 1; Paraná: Paranaguá Fish Market n = 1 and Curitiba Fish Market n = 4) Brazilian coasts. Bootstrap values are shown next to the branches. The sequences with the accession numbers were downloaded from GenBank.
FIGURE 1 in Mislabeling, illegal capture, and commercialization of Atlantic goliath grouper (Epinephelus itajara) on the Brazilian coast using DNA barcoding
FIGURE 1 | Distribution of sampling sites in the northern (Pará State: Bragança n = 20 and Curuçá n = 2) and southern (São Paulo: Cananéia n = 1; Paraná: Paranaguá n = 1 and Curitiba n = 4) Brazilian coasts.
ScienceDex guides
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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.