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13,276 results for “IT management”
Fig. 4 in Evaluation of seedling tray drench of insecticides for cabbage maggot (Diptera: Anthomyiidae) management in broccoli and cauliflower
Fig. 4. Mean (± SE) of (A) Delia radicum larvae and (B) severity of Delia radicum feeding injury of 20 cauliflower plants in the field trial 4 conducted in 2016. Means with different letters are significantly different between treatments for each parameter according to Tukey's HSD test at P <0.05. Where no differences were observed, no letters are given.
Figure 2 in Exploring Energy Management on GPUs in Game Architectures
Figure 2. - Photographic evidence from New Caledonia. (A) Inter-specific depredation of a ~1.2 m TL grey reef shark C. amblyrhynchos (GRS) that was depredat- ed by a ~2.6 m TL bullshark C. leucas (BS), which was itself almost entirely consumed probably by a larger conspecific after (B) consuming the grey reef shark (Photos courtesy of B. Claude).
Figure 1 - Photographic evidence from Seychelles. A in Exploring Energy Management on GPUs in Game Architectures
Figure 1 - Photographic evidence from Seychelles. A: Intra-specific depredation of a ~2 m TL tiger shark Galeocerdo cuvier (TS1) by a 4 m TL conspecific (TS2); B: Inter-specific depredation based on the catch of a ~1≈m TL grey reef shark Carcharhinus amblyrhynchos (GRS), that was almost entirely consumed by C: ~2 m TL bullshark C. leucas (BS), which was (D) itself depredated, probably by a large tiger shark (Photo courtesy of JBG).
Figure 2 in Tench (Tinca tinca) in Sicily: current knowledge and research needs for conservation and management
Figure 2. – Recent distribution of tench in Sicily (dots: streams and rivers; squares: natural lakes and ponds; triangles: artificial habitats. Black symbols: tench found; open symbols: tench not found).
Figure 1 in Tench (Tinca tinca) in Sicily: current knowledge and research needs for conservation and management
Figure 1. – Past distribution of tench in Sicily (dots: streams and rivers; squares: natural lakes and ponds).
Fig. 5 in Gastrointestinal parasites of a reintroduced semi-wild plains bison (Bison bison bison) herd: Examining effects of demographic variation, deworming treatments, and management strategy
Fig. 5. The average sum of FECs counts by year, demonstrating and increasing trend in FECs between 2015 and 2019. Black horizontal lines denote median values, while the top and bottom of boxes denote the upper and lower interquartile ranges (75th and 25th percentiles). Extending "whiskers" denote values of 1.5 times the interquartile range; points outside of this range constitute outliers.
Fig. 4 in Gastrointestinal parasites of a reintroduced semi-wild plains bison (Bison bison bison) herd: Examining effects of demographic variation, deworming treatments, and management strategy
Fig. 4. The sum of FECs counted per gram of individual bison, demonstrating variation FECs between and among individuals. Black horizontal lines denote median values, while the top and bottom of boxes denote the upper and lower interquartile ranges (75th and 25th percentiles). Extending "whiskers" denote values of 1.5 times the interquartile range; points outside of this range constitute outliers.
Fig. 3 in Gastrointestinal parasites of a reintroduced semi-wild plains bison (Bison bison bison) herd: Examining effects of demographic variation, deworming treatments, and management strategy
Fig. 3. The sum of FECs types, including "STRONGs" (Strongyle-type), "COCCs" (Coccidia), "NEMAs" (Nematodirus), "TRICHs" (Trichuris), "MONs" (Moniezia) counted per gram of sample from bison of various age classes. Ages classes included "NC" (New Calf; 0–1), "YR" (Yearling; 1–2), "JA" (Juvenile to Adult Transition; 2–4), "YA" (Young Adult; 4–6), "PA" (Peak Adult; 6–9), "MA" (Mature Adult; 9+). Black horizontal lines denote median values, while the top and bottom of boxes denote the upper and lower interquartile ranges (75th and 25th percentiles). Extending "whiskers" denote values of 1.5 times the interquartile range; points outside of this range constitute outliers.
Fig. 2 in Gastrointestinal parasites of a reintroduced semi-wild plains bison (Bison bison bison) herd: Examining effects of demographic variation, deworming treatments, and management strategy
Fig. 2. The sum of FECs counted per gram of sample from bison of various age classes, including "NC" (New Calf; 0–1), "YR" (Yearling; 1–2), "JA" (Juvenile to Adult Transition; 2–4), "YA" (Young Adult; 4–6), "PA" (Peak Adult; 6–9), "MA" (Mature Adult; 9+). Black horizontal lines denote median values, while the top and bottom of boxes denote the upper and lower interquartile ranges (75th and 25th percentiles). Extending "whiskers" denote values of 1.5 times the interquartile range; points outside of this range constitute outliers.
Fig. 1 in Gastrointestinal parasites of a reintroduced semi-wild plains bison (Bison bison bison) herd: Examining effects of demographic variation, deworming treatments, and management strategy
Fig. 1. Aerial image of the Crane Trust bison pastures. The smaller North metapopulation was continuously grazed in the Visitor Center ("VC" – 50 acres) pasture (outlined in pink). The larger South metapopulation was rotated through Ruge-South Brown ("RS" – 387 acres) pasture (outlined in orange), Calving-Office ("CO" – 267 acres) pasture (outlined in yellow), and North Meadow ("NM" – 177 acres) pasture (outlined in green). The North (orange) and South (pink) metapopulation pastures were separated by a minimum distance of 200 m, including an 80 m channel of the Platte River. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 2. Summary of Parelaphostrongylus spp. infection in white-tailed deer (Odocoileus virginianus) fecal samples collected in Western Manitoba. Partial CO1 and ITS-2 genetic sequence results found white-tailed deer fecal samples with Parelaphostrongylus andersoni and Parelaphostrongylus tenuis in game hunting area (GHA) 13, 18 and 27 and only P. tenuis infected fecal pellets in GHA 22. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in DNA sequencing confirms meningeal worm (Parelaphostrongylus tenuis) and muscle worm (Parelaphostrongylus andersoni) in white-tailed deer (Odocoileus virginianus): Implications for moose (Alces alces) management
Fig. 1. Average dorsal-spined larvae (DSL) prevalence in white-tailed deer (Odocoileus virginianus) fecal samples in each game hunting area (GHA) sampled in Manitoba in 2020 and 2021. For trips, early summer collection was in June, mid-summer was July–August and late summer was August–September. GHA 13 and 18 (blue) are areas where moose populations are a management concern whereas GHAs 22 and 27 (yellow) are areas where moose populations are not a management concern. GHAs 18 and 22 were sampled in 2020 (light colors) while GHAs 13 and 27 were sampled in 2021 (dark colors). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in "Migratory beekeeping and its influence on the prevalence and dispersal of pathogens to managed and wild bees"
Fig. 1. Flow chart of the process of the systematic review on the different impacts of migratory beekeeping (MB), including the number of studies analysed at each step of the review process. Detailed data in Supplementary Table 1.
Fig. 2 in "Migratory beekeeping and its influence on the prevalence and dispersal of pathogens to managed and wild bees"
Fig. 2. Cumulative number of publications examining in general the impact of migratory beekeeping (blue dots) and in particular the prevalence of pathogens (orange dots) from 1990 to 2022. Exponential trend lines are represented by dashed lines. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in The threat of pesticide and disease co-exposure to managed and wild bee larvae
Fig. 3. Pesticide research bias across bee genera depending on pesticide type based on Web of Science searches. The number of studies per search term is indicated for each genus with at least 10 studies across search terms; Understudied is a cumulative group including genera which contain less than 10 studies; Unexplored is a cumulative group including genera which have no published papers for any pesticide exposure category. Warmer colours are used to indicate a higher number of studies related to a genus for the corresponding pesticide search term, while colder colours indicate a lower number of studies found. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in The threat of pesticide and disease co-exposure to managed and wild bee larvae
Fig. 4. Brood pathogens studies per bee genera found from Web of Science searches using search terms "brood disease", "brood pathogen", "brood virus", "larvae disease", "larvae pathogen" and "larvae virus" across bee genera. Red squares indicate that a pathogen on the x-axis has been found to infect at least one species in the bee genus corresponding to its position in the phylogeny shown on the y-axis; yellow squares indicate that the pathogen on the x-axis has been found in individuals from at least one species in the genus on the y-axis but no symptoms were reported in the studies; dark grey squares indicate that the pathogen on the x-axis has been tested for in at least one species in the genus corresponding on the yaxis, however has not been found; white squares indicate that the searches found no studies where any bee species of the genus on the y-axis were tested for in the corresponding pathogens on the x-axis. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in The threat of pesticide and disease co-exposure to managed and wild bee larvae
Fig. 2. Proportion of results per search term across bee genera on the Web of Science search engine (n = the total number of studies corresponding to each search term). Search terms related to brood disease (A) and pesticide exposure (B) are both compared to species diversity at the genus level. Genera with less than 5 studies in any brood disease search term (A) and less than 10 studies across any pesticide exposure search term (B) have been classified as 'Understudied' (brown) and grouped. Genera with no studies related to any brood disease search term (A) and no studies related to any pesticide exposure search term (B) have been classified as 'Unexplored' (grey) and grouped. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in The threat of pesticide and disease co-exposure to managed and wild bee larvae
Fig. 1. Flowers contaminated with brood pathogens and pesticides can lead to simultaneous exposure to pesticides and brood pathogens from flowers in adult foraging bees (A). This leads to brood being co-exposed to the stressors via food provisioning (B). Pesticides may increase larval mortality from brood infections directly through compromised immunocompetence (C), and/or indirectly through manipulating microbial communities and compromising food provisions from adult bees (D) (Icons8, 2022).
FAIRER Data Management Framework: Diagram
<p>A data management framework is a model of the people, policies, standards, and processes needed to manage data. It includes corporate strategy and objectives, data strategy, capabilities, governance, data management, metadata management, data architecture, machine-actionable data management plan (maDMP), and data lifecycle. The result is the production of FAIRER (Findable, Accessible, Interoperable, Reusable, Ethical, and Reproducible) data.</p> <p>DICLAIMER: All views and opinions expressed are those of the co-authors, and do not necessarily reflect the official policy or position of their respective employers, or of any government, agency, or organization.</p>
Figure 5 in Motivations and contributions of volunteer groups in the management of invasive alien plants in South Africa's Western Cape province
Figure 5. Challenges (n = 56) faced by individual volunteers in the management of invasive alien plant management in Western Cape, South Africa.
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.