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13,276 results for “IT management”
Figure 3 in Exploring sterile pollen technique as a novel tool for management of Palmer amaranth (Amoronthus polmeri)
Figure 3. Effect of different irradiation doses on seed set of Amoronthus polmeri inflorescences in 2021 with mean and SE. Abbreviations: I, irradiated pollen; I+NI, irradiated pollen followed by hand pollination with non-irradiated pollen; NI+I, non-irradiated pollen followed by hand pollination with irradiated pollen; I+O,Irradiated pollen followed by open pollination; O+I, open pollination followed by hand pollination with irradiated pollen; O+I+O,open pollination followed by hand pollination with irradiated pollen followed by open pollination. LSD0.05 is the least-square distance for significance level 0.05; error bars indicate SE. (The mean and SE are 0.3935% and 0.0220% for open pollination and 0.3790% and 0.0216% for non-irradiated pollen treatment, respectively.)
Figure 1 in Exploring sterile pollen technique as a novel tool for management of Palmer amaranth (Amoronthus polmeri)
Figure 1. Viability of pollen grains stained with 2,5-diphenyl monotetrazolium bromide (MTT) showing differing intensities (A). Effect of irradiation dosages of gamma rays on pollen viability as quantified by mean gray value percentages from 100 pollen grains (B). Error bars indicate SE.
Figure 1 in Integrating cover crops for weed management in the semiarid U.S. Great Plains: opportunities and challenges
Figure 1. Map of the Great Plains showing three main regions: (1) Northern Great Plains (marked by purple line), (2) Central Great Plains (marked by red line), and (3) Southern Great Plains (marked by light blue line). Adapted from Center for Great Plains Studies, University of Nebraska–Lincoln.
Figure 2 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 2. Sustainability of the programs with stacked HT traits or residual herbicides, as influenced by application time (PRE and POST) and number of herbicide SOAs on (A) weed density and (B) resistance evolution. Resistance evolution is presented as % individuals that are resistant to at least one of the herbicides excluding H, either in the form of single or multiple resistance.The populations consist of 80% individuals resistant to H initially. Herbicide scenarios are detailed in Table 2. The simulations were set to stop when weed density exceeded 1 plant m−2, hence the incomplete lines of scenario EWM(i).
Figure 1 in Modeling the sustainability and economics of stacked herbicide-tolerant traits and early weed management strategy for waterhemp (Amoronthus tuberculotus) control
Figure 1. Sustainability of the POST-only programs,as influenced by the number of herbicide SOAs and the initial level of quantitative resistance to herbicide H. Cross-resistance between herbicides H and X is included in D–F. Results are presented as the year of weed control failure; bars represent the mean, and error bars represent the range of 100 replicates. Herbicide scenarios are detailed in Table 2. r-HX, correlation coefficient between phenotypic values of H and X.
Figure 4. Mean S in Assessment of Management Options on StrigQ Infestation and Maize Grain Yield in Kenya
Figure 4. Mean S. hermonthicQ emergence at 8, 10, and 12 wk after planting (WAP) for four cropping systems under natural S. hermonthicQ infestation at three locations for 3 yr (2011–2013). IR hybrid, imazapyr-resistant maize hybrid; IR-OPV, imazapyr-resistant maize, open-pollinated variety; StrigQ hybrid, S. hermonthicQ-resistant maize hybrid; WH403, commercial maize hybrid. The whiskers represent SEs.
Figure 3. Mean S in Assessment of Management Options on StrigQ Infestation and Maize Grain Yield in Kenya
Figure 3. Mean S. hermonthicQ emergence at 8, 10, and 12 wk after planting (WAP) for four cropping systems under artificial S. hermonthicQ infestation at two locations for 3 yr (2011–2013). IR hybrid, imazapyr-resistant maize hybrid; IR-OPV, imazapyr-resistant maize, open-pollinated variety; S. hermonthicQ hybrid, S. hermonthicQ-resistant maize hybrid; WH403, commercial maize hybrid. The whiskers represent SEs.
Figure 2 in Assessment of Management Options on StrigQ Infestation and Maize Grain Yield in Kenya
Figure 2. Mean number of emerged S. hermonthicQ plants at 8, 10, and 12 wk after planting (WAP) for four maize varieties under artificial (A) and natural (B) S. hermonthicQ infestation for 3 yr (2011–2013). The whiskers represent SEs. IR hybrid, imazapyr-resistant maize hybrid; IR-OPV, imazapyr-resistant maize, open-pollinated variety; StrigQ hybrid, S. hermonthicQ-resistant maize hybrid; WH403, commercial maize hybrid.
Figure 1 in Assessment of Management Options on StrigQ Infestation and Maize Grain Yield in Kenya
Figure 1. Mean number of emerged S. hermonthicQ plants at 8, 10, and 12 wk after planting (WAP) for four cropping systems under artificial (A) and natural (B) S. hermonthicQ infestation for 3 yr (2011–2013). The whiskers represent SEs.
Dataset for digital twins for managing bridge climate change adaptation
<p><span>This is the dataset for embedding in the novel digital twin driven by</span><span> BIM technology to manage the climate change adaptation measures for the bridges. A 6D BIM model has been established and embeded with change adaptation measures, timeline schedule, climate change adaptation cost estimation, and carbon emission estimation.</span></p>
Dataset: First Trust Managed Municipal ETF (FMB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: AlphaMark Actively Managed Small Cap ETF (SMCP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Silvercrest Asset Management Group Inc. (SAMG) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Royalty Management Holding Corporation (RMCO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Royalty Management Holding Corporation (RMCOW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Global X NASDAQ 100 Risk Managed Income ETF (QRMI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: iShares MSCI Water Management Multisector ETF (IWTR) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Investcorp Credit Management BDC, Inc. (ICMB) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Figure 3 in Management of invasive, plague-carrying signal crayfish by physical exclusion barriers
Figure 3. Discharge of the Bottwar stream (blue line) since construction of the barriers (daily means measured in the lower course of the stream, obtained from the "Umweltinformationssystem (UIS) der LUBW Landesanstalt für Umwelt Baden-Württemberg"). The horizontal hatched line corresponds to the stream discharge at which the 1st, flow-based barrier (B1) was effective to exclude signal crayfish during the in-situ assessment of barrier efficacy (date highlighted by vertical line). The red ticks beside the time axis indicate days with a stream discharge lower than 0.95 x this threshold, i.e., conditions at which barrier functionality has been presumably compromised by low stream flow. Please note the marked increase in duration and intensity of extreme low-flow conditions since 2018.
Figure 2 in Management of invasive, plague-carrying signal crayfish by physical exclusion barriers
Figure 2. Distribution of native and invasive crayfish species in the study area from 2011 to 2020, as indicated by monitoring data of the Fisheries Research Station (2011–2014) and the intensive crayfish surveys in 2017 and 2020 (this study; Table S2 and Figure S2). The signal crayfish distribution prior to 2013 remains unknown, as indicated by the question mark in the top left panel. Dots represent the exclusion barriers implemented in 2014 (numbered in direction of upstream signal crayfish spread; fill color indicates barrier functionality with pink = flow-based and yellow = waterfall-based). Detail maps in the lower panels show the fine-scale signal crayfish distribution at B1.
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.