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1,271 results for “Data Flow”
SSIMS-Flow paper: supplementary data
<p>Supplementary data in support of the SSIMS-Flow paper in Environmental Modeling and Software journal, containing:</p> <ol> <li>SSIMS-Flow and PIVlab data and project files,</li> <li>Additional showcase examples,</li> <li>Snapshot of the SSIMS-Flow version used in the paper.</li> </ol>
Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"
<p>Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"</p>
Data of sap flow, tree size, soil water conditions and meteorology from Finland
<h3>Overview</h3><p>This data set includes the records of stem size at breast height, sap flow, soil water conditions and meteorology of/near two Scots pine (<i>Pinus sylvestris</i>) trees (named 'Pentti' and 'Sylvi') at Hyytiälä, Finland (61.8°N, 24.3°E). The data have been used in Liu <i>et al.</i> <i>Carbon source and sink limitations on boreal trees' cambial growth: implications of a coupled stomatal and growth model</i> (submitted to <i>New Phytologist</i> in October 2023). The Data Collector (Che Liu, University of Helsinki) collected the original data from SmartSMEAR (https://smear.avaa.csc.fi/) and processed to the current format and temporal resolution.</p><h3>Meanings (and units) of the columns</h3><h4>Sheet "tree_stats" </h4><ul><li>DBH, diameter at breast height (cm)</li><li>Asw, sapwood area (m^2)</li><li>H, tree height (m)</li></ul><h4>Sheets "Pentti_30min" and "Sylvi_30min"</h4><ul><li>DOY, day of the year</li><li>RBH, change of radius of breast height (mm), measured using the point dendrometer (AX-5 Solartron Metrology) and with thermal expansion corrected. The dendrometers were moved at the beginning of each year.</li><li>SFD, sap flow density at breast height (mol H2O m^{-2} sapwood s^{-1}), measured using the thermal dissipation method.</li><li>T_air, air temperature (°C)</li><li>Precip, rainfall (mm)</li><li>RH, relative humidity (%)</li><li>VPD, vapour pressure deficit (Pa)</li><li>D, VPD converted to mol H2O m^{-3} air using the ideal gas law</li><li>PPFD, photosynthetic photon flux density (mol m^{-2} s^{-1}), measured using Li-Cor Li-190SZ quantum sensor over the canopy (35 m high).</li><li>T_soil, soil temperature (°C) of the B horizon (10-30 cm deep)</li><li>SWC, soil water content (m^3 m^{-3}) of the B horizon (10-30 cm deep), measured using Delta-T ML3.</li></ul>
MarTREC Data Set for Report: Developing and Applying an Analysis Methodology to Identify Flow Generation Influences between Vessel and Truck Shipments
<p>Truck activity is logically connected to vessel activity at a port. In turn, vessel activity is also influenced by truck shipments. Although one might expect a direct and straightforward relation between these two types of shipments, that is rarely the case. For instance, many maritime containers carry consolidated cargos that have multiple and different final destinations. Also, different truck capacities, customs clearance and regulations play a critical role in determining the actual relation between these two types of shipments. This project aims at shedding light on the nuances of maritime and roadway flow relations by quantitatively analyzing the linkages between these two types of shipments.</p> <p>The study performed a statistical analysis to determine the probability distributions of vessel and truck activity, and then explore the correlation of each activity with the other. The analysis yielded coefficients that function as explanatory values for specific truck flows.</p> <p>The ultimate purpose of this study is to provide a clearer and quantitative understanding of the relationship between maritime and truck shipments, and by doing so, to provide tools to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region.</p> <p>For this purpose, the study selected the Port Freeport as a case study.</p>
Data from: Fractal characteristics of shale pore structure and its influence on seepage flow
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Data and R script for: Barriers to chimpanzee gene flow at the south‐east edge of their distribution
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Data from: Do freshwater ecoregions and continental shelf width predict patterns of historical gene flow in the freshwater fish Poecilia butleri?
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Data from: A tight balance between natural selection and gene flow in a southern African arid-zone endemic bird
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Data from: Postpartum family planning integration with maternal, newborn, and child health services: a cross-sectional analysis of client flow patterns in India and Kenya
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Data from: Local selection modifies phenotypic divergence among Rana temporaria populations in the presence of gene flow
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Data from: Secondary contact and asymmetrical gene flow in a cosmopolitan marine fish across the Benguela upwelling zone
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Data from: Ocean warming and acidification alter the behavioural response to flow of the sea urchin Paracentrotus lividus
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Data from: Gene flow by larval dispersal in the Antarctic notothenioid fish Gobionotothen gibberifrons
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Data from: Historical divergence versus contemporary gene flow: evolutionary history of the calcicole Ranunculus alpestris group (Ranunculaceae) in the European Alps and the Carpathians
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Data from: Inter-specific gene flow dynamics during the Pleistocene-dated speciation of forest-dependent mosquitoes in Southeast Asia
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Data from: Assessing early fitness consequences of exotic gene flow in the wild: a field study with Iberian pine relicts
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Data from: Breaking out of the comfort zone: El Niño-Southern Oscillation as a driver of trophic flows in a benthic consumer of the Humboldt Current ecosystem
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Data from: Flow imaging microscopy as a novel tool for high-throughput evaluation of elastin-like polymer coacervates
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Data from: Adaptation with gene flow across the landscape in a dune sunflower
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Data from: Extremely reduced dispersal and gene flow in an island bird
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