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18 results for “Irrigated agriculture”
Raw data for the submitted manuscript entitled "Mapping and Disposal of Irrigation Pipes for a Sustainable Management of Agricultural Plastic Waste", authors Ileana Blanco, Giuliano Vox, Fabiana Convertino, and Evelia Schettini
<p><span>The file regards the evaluation of plastic indexes and agricultural plastic waste quantities in Apulia region due to the use of irrigation pipes. The data is used to identify the critical areas for plastic waste production due to irrigation pipes.</span></p>
Global energy use and carbon emissions from irrigated agriculture
<p>This repository contains supporting data for: "<strong>Global energy use and carbon emissions from irrigated agriculture"</strong></p><p>Email: qinjingxiu17@mails.ucas.ac.cn and duanweili@ms.xjb.ac.cn</p><p>The dataset contains:</p><p>-Global energy consumption and CO2 emissions from irrigation . </p><p>-Global CO2 emissions from groundwater degassing . </p><p>-Energy consumption and CO2 emissions with different irrigation and pumping systems and irrigation water sources. </p><p>-Global energy consumption and CO2 under drip and sprinkler scenarios. </p><p>-Global energy consumption and CO2 under mix electricity scenarios. </p><p>-Energy units: Terajoule (TJ); CO2 emissions units: (Tonnes CO2)</p><p>-Files are uploaded in .tif raster data. </p>
Supplemental data and code for "Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff"
<p>This dataset provides all data compiled and generated for the manuscript entitled "Global patterns in water flux partitioning: Irrigated and rainfed agriculture drives asymmetrical flux to vegetation over runoff" (https://doi.org/10.1016/j.oneear.2023.08.002). This includes the boundaries for 3614 hydrological catchments, the curated data used for analysis and modelling, the developed machine learning model, shapley values and area of applicability results, and data for global extrapolation</p> <p>It also contains a markdown file ('code.html') which shows how to access and use the data, and generic sample codes used to generate these results.</p> <p> </p> <p> </p> <p> </p>
Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions
<p>The datasets contain original data from the article titled" Rising agriculture water scarcity in China is driven by expansion of irrigated cropland in water-scarce regions "</p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset1
<p>This dataset contains the data underlying the following publication: Mouna Mahjoubi, Simone Cappello, Yasmine Souissi, Atef Jaouani and Ameur Cherif (February 7th 2018). Microbial Bioremediation of Petroleum Hydrocarbon– Contaminated Marine Environments, Recent Insights in Petroleum Science and Engineering Mansoor Zoveidavianpoor, IntechOpen, DOI: 10.5772/intechopen.72207</p> <p> </p>
Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. at the Kellogg Biological Station, Hickory Corners, MI (2013 to 2017)
Dataset Abstract Data for Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. original data source http://lter.kbs.msu.edu/datasets/176
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity: Subset2
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
Unaccounted N2O source to the atmosphere from agriculture through groundwater denitrification and use for irrigation
<p>Nitrous oxide (N<sub>2</sub>O), a potent greenhouse gas, is produced in cultivated soils and this production is enhanced by the application of reactive nitrogen in the form of fertilizers. Part of fertilizers applied is not taken up by crops, leading to their accumulation in the groundwater where they can evolve into N<sub>2</sub>O through nitrification/denitrification. Based on chemical and isotopic measurements of nitrate (NO<sub>3</sub><sup>-</sup>) and N<sub>2</sub>O in Indian groundwater, we report for the first-time evidence for the widespread occurrence of denitrified NO<sub>3</sub><sup>-</sup> and of high concentrations of N<sub>2</sub>O (>2000% of saturation). The accumulation of N<sub>2</sub>O is high in regions where groundwater is intensely abstracted for irrigation, releasing this accumulated N<sub>2</sub>O into the atmosphere. Using annual mean groundwater abstraction for irrigation in India, which is the highest in the globe, we estimated that 0.06 to 20 GgN<sub>2</sub>O/y is effluxed to the atmosphere, which adds 0.1 to 20% of the N<sub>2</sub>O flux emitted by agricultural soils in India. This so far unidentified source around the globe may thus contribute significantly to the imbalance in the global N<sub>2</sub>O budget.</p>
Photovoltaics for agricultural irrigation
<p>This video-abstract is one of the dissemination activities of the H2020 project GRECO under the topic Photovoltaics for Agriculture.</p> <p>The video includes a description of photovoltaic irrigation systems in general and explains the irrigation solutions obtained along the project for large-power photovoltaic irrigation systems.</p> <p>The video will be the basis for the final showroom on PV solutions for irrigation. Irrigators from different countries will attend the showroom in order to have the civil society validation of the solution developed.</p>
MADFORWATER: WP3: Adaptation of technologies for efficient water management and treated wastewater reuse in agriculture: Task3.1: Reduction of crop water requirement and tools for irrigation management with treated WW: Subtask 3.1.1: Plant Growth Promotion (PGP) bacteria to enhance crop resistance to water stress and salinity
<p>This dataset contains the data underlying the following publication: Hassen W, Neifar M, Cherif H, Najjari A, Chouchane H, Driouich RC, Salah A, Naili F, Mosbah A, Souissi Y, Raddadi N, Ouzari HI, Fava F and Cherif A (2018) Pseudomonas rhizophila S211, a New Plant Growth-Promoting Rhizobacterium with Potential in Pesticide-Bioremediation. Front. Microbiol. 9:34. doi: 10.3389/fmicb.2018.00034</p>
A Spatiotemporal Dataset of Irrigated Agricultural Areas Across the Coastal Plain Region of South Carolina; USA
<p>A Spatiotemporal Dataset of Irrigated Agricultural Areas Across the Coastal Plain Region of South Carolina; USA</p>
Data from: Native forage mediates influence of irrigated agriculture on migratory behavior of elk
Open the record for dataset details and reuse information.
Land use impacts on parasitic infection: A cross-sectional epidemiological study on the role of irrigated agriculture in schistosome infection in a dammed landscape
Open the record for dataset details and reuse information.
Manuscript code & data: Foster et al. (2020) "Satellite-based monitoring of irrigation water use: assessing measurement errors and their implications for agricultural water management policy"
<p>Data to reproduce results presented in Foster, T., Mieno, T. and Brozovic, N. (2020). <em>Satellite-based monitoring of irrigation water use: assessing measurement errors and their implications for agricultural water management policy.</em> Water Resources Research. In Review. Files provide include:</p> <ul> <li>"ReviewMetadata_FosterWRR_2020.xlsx" - data needed to reproduce meta-analysis presented in the paper</li> <li>"MeasurementErrorCode_FosterWRR_2020.m" and "Foster2018_ProductionFunction.mat" - Matlab code and data needed to reproduce welfare loss analysis presented in the paper.</li> </ul>
Figure 2 from: Blanco-Gutiérrez I, Esteve P, Garrido A, Gómez-Ramos A, Arce A, Zubelzu S, Díaz-Ambrona CH, Sánchez R, Calatrava J, López-Correa JM (2021) RECLAMO: Unlocking the potential of wastewater reuse for agricultural irrigation in Spain . Research Ideas and Outcomes 7: e76793. https://doi.org/10.3897/rio.7.e76793
Figure 2 GANNT Diagram.
Figure 1 from: Blanco-Gutiérrez I, Esteve P, Garrido A, Gómez-Ramos A, Arce A, Zubelzu S, Díaz-Ambrona CH, Sánchez R, Calatrava J, López-Correa JM (2021) RECLAMO: Unlocking the potential of wastewater reuse for agricultural irrigation in Spain . Research Ideas and Outcomes 7: e76793. https://doi.org/10.3897/rio.7.e76793
Figure 1 PERT Diagram. Project structure and links between WPs.
Dataset for McClelland et al. 2022. Infrequent compost applications increased plant productivity and soil organic carbon in irrigated pasture but not degraded rangeland. Agriculture, Ecosystems, and Environment.
<p>Raw data files accompanying the published article "Infrequent compost applications increased plant productivity and soil organic carbon in irrigated pasture but not degraded rangeland" in <em>Agriculture, Ecosystems, and Environment</em>. <a href="https://authors.elsevier.com/a/1etJPcA-Ik6yb">https://authors.elsevier.com/a/1etJPcA-Ik6yb</a></p> <p>Units for response variables in .csv files are as follows. Please reach out to scm229@cornell.edu with any questions about using the files or the data within.</p> <p>--</p> <p>Aboveground biomass: total (Mg ha-1), carbon (Mg C ha-1), nitrogen (kg N ha-1)</p> <p>Bulk density: g cm-3</p> <p>Respiration (Rs): micro mol m-2 s-1</p> <p>Roots: Mg C ha-1</p> <p>Soil C and N: organic and inorganic carbon (Mg C ha-1), nitrogen (Mg N ha-1)</p> <p> </p>
Solutions to achieve net-zero emissions in irrigated agriculture
<p>The original geospatial data of the figure.S5-9.</p> <p>The dataset contains:</p> <p>-Global energy consumption and carbon emissions from irrigation . Units: Terajoule/year and Million tonnes CO2/year. </p> <p>-Energy consumption and carbon emissions with different irrigation systems. Units: Terajoule/year and Million tonnes CO2/year. </p> <p>-Global energy consumption under drip and sprinkler scenarios. Units: Terajoule/year</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.