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Dataset results
802 results for “commercialization”
Dataset_of_Commercial_Participation_in_OpenStack
<p>This is the dataset of the research about commercial participation in OpenStack.</p>
Zemax files for NA=0.29 and NA=0.40 long-working-distance lens objectives assembled by commercial on-catalog singlets
<p>Zemax files of two lens objective with numerical apertures (NA) of 0.29 and 0.4. The objective lenses are made entirely from commercial on-catalog Ø1'' singlets. Both the objectives can correct the spherical aberrations due to the standard flat vacuum glass windows with various thickness. The diffraction-limited fields of view for NA=0.29 and NA=0.4 objectives are 600 μm and 150 μm. The spatial resolutions for the two objectives are 1.8 μm and 1.3 μm at the design wavelength.</p>
The behaviour of commercial broilers in response to a mobile robot - Behavioural dataset
<p>The data files associated with the paper titled 'The behaviour of commercial broilers in response to a mobile robot'.</p> <p> </p>
Flesh yield of commercial mussels cultured in the Ria de Ares Betanzos
<p>Flesh yield of commercial mussels cultured in the Ría de Ares-Betanzos (A Coruña, NW Spain). The flesh yield is calculated as the percentage of the total weight of 1 kg of live mussels > 50 mm collected in a mussel raft that is meat weight after opening the valves with water vapour.</p> <p>Flesh yield data have been aggregated monthly and the seasonal cycle of each year has been adjusted to the following harmonic function:</p> <p>FY (%) = A1 + A2* cosine (2*Pi*t/12 + A3)</p> <p>where A1 is the seasonal average value of FY, A2 is half the amplitude of the seasonal cycle of FY; and A3 is the month of the year when FY is halfway between the seasonal minimum and the seasonal maximum.</p> <p>The values of A1, A2 and A3 for years 2002 to 2012 are reported for the two mussel cultivation areas of the Ría de Ares-Betanzos (Arnela and Lorbé)</p> <p>These data have been published in X.A. Álvarez-Salgado, U. Labarta, V. Vinseiro and M.J. Fernández Reiriz (2017). Environmental drivers of mussels flesh yield in a coastal upwelling system. Ecological Indicators 79, 323-329.</p>
Fig. 2 in DNA barcode reveals high cryptic diversity in the commercially important Penaeini shrimps (Decapoda, Penaeidae)
Fig. 2 Occurrence of deposit errors registered on the Bold Systems platform for members of Penaeini. The X axis represents the BINs for which COI sequence deposit errors were verified. The Y axis repre-
Fig. 4 in DNA barcode reveals high cryptic diversity in the commercially important Penaeini shrimps (Decapoda, Penaeidae)
Fig. 4 Representation of the largest intraspecific genetic distances (MDR) calculated for each representative of the Penaeini tribe. The X axis presents the seven analyzed genera, while the Y axis represents the
FIGURE 4 in Identification of a new species and three new records of Chaetomiaceae associated with commercial herbal teas in northern Thailand
FIGURE 4. Canariomyces arenarius (MFLUCC 24–0066, new host record). a Red goji berry tea sample. b, c Culture colony grown on PDA from the surface and reverse after one month. d Top view of white conidial colonies in culture. e Hyphae in culture. f–i Developing short conidiophores and conidiogenous cells with apical conidia. Scale bars: d = 500 µm, e–i = 10 µm.
FIGURE 2 in Identification of a new species and three new records of Chaetomiaceae associated with commercial herbal teas in northern Thailand
FIGURE 2. Arcopilus albae (MFLUCC 24–0064, ex-type culture). a Mulberry leaf tea sample. b, c Culture colony grown on PDA from the surface and reverse after one month. d Top view of ascomata covered by elongate red-brown hairs. e, f Ascomata with lateral hairs mounted in water. g Close-up of terminal hairs with red pigmented coarsely verrucose-walled and coiled at the apex. h Peridium. i Asci. j Ascospores with an apical germ pore. Scale bars: d = 200 µm, e, f = 100 µm, g, j = 10 µm, h = 5 µm, i = 20 µm.
FIGURE 1 in Identification of a new species and three new records of Chaetomiaceae associated with commercial herbal teas in northern Thailand
FIGURE 1. Phylogram generated from RAxML analysis based on combined ITS, LSU, RPB2, and TUB2 sequence data of Arcopilus taxa. Collariella bostrychodes (CBS 163.73) and Co. carteri (CBS 128.85T) are selected as the outgroup taxa Bootstrap support values. for ML values equal to or>70% and PP values equal to or>0.95 are shown as ML/PP above the nodes. The newly generated sequence in this study is in blue. Type strains are indicated in bold.
Fig. 1 in Cryptolestes pusilloides (Steel and Howe) (Coleoptera: Laemophloeidae) Infesting Commercial Dried Mushrooms
Fig. 1. Cryptolestes pusilloides, adult female, dorsal view (top) and mature larva, ventral view (bottom).
FIGURE 5 in Identification of a new species and three new records of Chaetomiaceae associated with commercial herbal teas in northern Thailand
FIGURE 5. Phylogram generated from RAxML analysis based on combined ITS, RPB2 and TUB2 sequence data of Chaetomium taxa. Xanthiomyces spinosus isolates CBS 789.71 and CBS 796.83 are selected as the outgroup taxa. Bootstrap support values for ML values equal to or>70% and PP values equal to or>0.95 are shown as ML/PP above the nodes. Newly generated sequences in this study are in blue. Type strains are indicated in bold.
FIGURE 3 in Identification of a new species and three new records of Chaetomiaceae associated with commercial herbal teas in northern Thailand
FIGURE 3. Phylogram generated from RAxML analysis based on combined ITS, LSU, RPB2 and TUB2 sequence data of Canariomyces taxa. Madurella pseudomycetomatis isolates CBS 129177T and CBS 217.55 are selected as the outgroup taxa. Bootstrap support values for ML values equal to or>70% and PP values equal to or>0.95 are shown as ML/PP above the nodes. Newly generated sequences in this study are in blue. Type strains are indicated in bold.
Constellations of small commercial earth remote sensing satellites (2011 - 2025)
<p>Spacecraft are classified as small if their mass ranges from a few kilograms (CubeSat 3U) to 1 ton. All the satellite constellations considered belong to private companies. One constellation included satellites belonging to one private company-operator that have identical or similar imaging equipment characteristics at a given orbital altitude.</p>
Data from: Widespread introgression in Chinese indigenous chicken breeds from commercial broiler
Chinese indigenous chickens constitute world-renowned genetic resources due to their excellent traits, including early puberty, good meat quality, and strong resistance to disease. Unfortunately, the introduction of a large number of commercial chickens in the past two decades has had an adverse effect on Chinese indigenous chickens. Using the chicken 60K single-nucleotide polymorphism (SNP) chip, we assessed the genetic diversity and population structure of 1,187 chickens, representing eight Chinese indigenous chicken breeds, two hybrid chicken breeds, two ancestral chicken breeds, two commercial populations, and additional red jungle fowl. By investigating haplotype similarity, we found extensive gene introgression from commercial broiler to almost all Chinese indigenous chickens. Approximately 15% of the genome, on average, of Chinese indigenous chickens was introgressed, ranging from 0.64% for Tibetan chicken to 21.52% for Huiyang Bearded chicken. Further analysis revealed signals consistent with positive selection in the introgression loci. For the first time, we systematically mapped and quantified introgression from commercial broiler to Chinese indigenous chickens at the whole genome level. Our data provided a usable resource for chicken genetic diversity, and our findings indicated a dire need for protecting the genetic resources of Chinese indigenous chickens.
Bird strikes at commercial airports explained by citizen science and weather radar data
<p>1. Aircraft collisions with birds span the entire history of human aviation, including fatal collisions during some of the first powered human flights. Much effort has been expended to reduce such collisions, but increased knowledge about bird movements and species occurrence could dramatically improve decision support and proactive measures to reduce them. Migratory movements of birds pose a unique, often overlooked, threat to aviation that is particularly difficult for individual airports to monitor and predict: the occurrence of birds vary extensively in space and time at the local scales of airport responses.</p> <p>2. We use two publicly available datasets, radar data from the US NEXRAD network characterizing migration movements and eBird data collected by citizen scientists to map bird movements and species composition with low human effort expenditures but high temporal and spatial resolution relative to other large scale bird survey methods. As a test case we compare these results from weather radar distributions and eBird species composition with detailed bird strike records from three major New York airports.</p> <p>3. We show that weather radar based estimates of migration intensity can accurately predict probability of bird strikes, with 80% of the variation in bird strikes across the year explained by the average amount of migratory movements captured on weather radar. We also show that eBird based estimates of species occurrence can, using species' body mass and flocking propensity, accurately predict when most damaging strikes occur.</p> <p>4. Synthesis and applications: Our results highlight the power of federating datasets with movement and distribution data for developing better and more taxonomically and ecologically tuned models of likelihood of strikes occurring and severity of strikes. By better understanding when, and where, different species occur, airports across the world can predict seasonal periods of collision risks with greater temporal and spatial resolution; such predictions include potential to predict when the most severe and damaging strikes may occur.</p>
A CLOSE-UP LOOK AT THE CHEMICAL SPACE OF COMMERCIALLY AVAILABLE BUILDING BLOCKS FOR MEDICINAL CHEMISTRY
<p>The ability to efficiently synthesize desired compounds can be a limiting factor for chemical space exploration in drug discovery. This ability is conditioned not only by the existence of well-studied synthetic protocols but also by the availability of corresponding reagents, so-called building blocks (BB). In this work, we present a detailed analysis of the chemical space of 400K purchasable BB. The chemical space was defined by corresponding synthons – fragments contributed to the final molecules upon reaction. They allow an analysis of BB physicochemical properties and diversity, unbiased by the leaving and protective groups in actual reagents. The main classes of BB were analyzed in terms of their availability, rule-of-two-defined quality, and diversity. Available BBs were eventually compared to a reference set of biologically relevant synthons derived from ChEMBL fragmentation, in order to illustrate how well they cover the actual medicinal chemistry needs. This was performed on a newly constructed universal generative topographic map of synthon chemical space, allowing to visualize both libraries and analyze their overlapping and library-specific regions.</p> <p>The dataset includes annotated synthons extracted from ChEMBL and publicly available.</p>
Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software.
<p>We uploaded the complete database of the manuscript: Grassi R, Cappabianca S, Urraro F, Feragalli B, Montanelli A, Patelli G, Granata V, Giacobbe G, Russo GM, Grillo A, De Lisio A, Paura C, Clemente A, Gagliardi G, Magliocchetti S, Cozzi D, Fusco R, Belfiore MP, Grassi R, Miele V. Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software. Int J Environ Res Public Health. 2020 Sep 22;17(18):6914. doi: 10.3390/ijerph17186914. PMID: 32971756; PMCID: PMC7558768.</p>
Uncovering global-scale risks from commercial chemicals in air
<p>Data presented in the manuscript "Uncovering global-scale risks from commercial chemicals in air" by Liu et al. (2021).</p>
Figs. 1–4. 1 in First Report of Myllocerus scapularis Roelofs (Coleoptera: Curculionidae) and Rhytiphora bankii (Fabricius) (Coleoptera: Cerambycidae) on Commercial Plantings of Acacia crassicarpa (Fabaceae) in Indonesia
Figs. 1–4. 1) A leaf of Acacia crassicarpa damaged by Myllocerus scapularis adults in a commercial nursery in Sei Kebaro Sector, North Sumatra, Sumatra, Indonesia. 2–3) Damage on a young A. crassicarpa tree in a commercial stand of this plant by an adult Rhytiphora bankii in Pelalawan South Sector, Riau, Sumatra, Indonesia: 2) Overview; 3) Closeup view. 4) R. bankii adult, dorsal view.
High resistance measurements with a commercial high resistance bridge
<p>Repository of measurements in the range 10 Tohm-100 Tohm with a dual source bridge</p>
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.