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4 results for “spatial allocation”
Global monthly sectoral water withdrawal and allocation datasets (QUAlloc, water use and allocation model) at 10 km spatial resolution
<p>Output data of water withdrawals and water allocation per water source from the sectoral water use and allocation model (QUAlloc).</p> <p>Dataset properties:</p> <ul> <li>spatial resolution: 10 km (global-scale)</li> <li>temporal resolution: monthly time-step</li> <li>period: 1980 - 2019</li> <li>units: m3/month</li> </ul> <p>Output datasets:<br> <data_type>_<sector_name>_allocated_to_<source_type>_monthlyTot_1980_2019.nc</p> <ul> <li><data_type><br> <ul> <li>"withdrawal": refers to the water that is withdrawn at a water source level to satisfy the demands within an allocation zone</li> <li>"demand": refers to the withdrawn water that is supplied to each location (cell) where there are demands to satisfy</li> </ul> </li> <li><sector_name> <ul> <li>"domestic"</li> <li>"irrigation"</li> <li>"livestock"</li> <li>"manufacture"</li> <li>"thermoelectric"</li> </ul> </li> <li><source_type> <ul> <li>"renewable_surfacewater": refers to water obtained from the surface water system components (e.g., direct runoff, base flow, interflow, etc.)</li> <li>"renewable_groundwater": refers to water obtained from aquifers that are recharged by percolation from the upper soil layers</li> <li>"nonrenewable_groundwater": refers to water obtained from aquifers not replenished on a human time scale</li> </ul> </li> </ul> <p>The sectoral water use and allocation model used, QUAlloc, can be found at: https://github.com/SustainableWaterSystems/QUAlloc.</p>
Numerosity adaptation partly depends on the allocation of implicit numerosity-contingent visuo-spatial attention
<p>The folder Dataset contains five subfolders. Each subfolder contains the single subjects’ data for each experiment (three experiments) and each control experiment (two control experiments).</p> <p>Each file contains two Matlab tables called “TBase” and “TAdapt”. Each row of the table is a trial. </p> <p> </p> <p>In Experiment 1 and 2 the columns contain the following information:</p> <p>1<sup>st</sup>: Numerosity of the test stimulus</p> <p>2<sup>nd: </sup>Response</p> <p>3<sup>rd</sup>: Reaction Times</p> <p>4<sup>th</sup>: Accuracy </p> <p>5<sup>th</sup>: Test/Adapt side</p> <p>6<sup>th</sup>: N° of presented Adaptors</p> <p> </p> <p>In Experiment 3 the columns contain the following information:</p> <p>1<sup>st</sup>: Numerosity of the test stimulus</p> <p>2<sup>nd</sup>: Cue position</p> <p>3<sup>rd</sup>: Response</p> <p>4<sup>th</sup>: Reaction Times</p> <p>5<sup>th</sup>: Accuracy </p> <p>6<sup>th</sup>: Test/Adapt side</p>
Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"
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Spatial allocation without spatial recruitment in bumblebees
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