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608 results for “irrigation”
Gulf War Illness Nasal Irrigation Study
ClinicalTrials.gov study NCT01700725. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Bacterial Contamination: Iodine vs Saline Irrigation in Pediatric Spine Surgery
ClinicalTrials.gov study NCT02527512. IPD Sharing: NO. Countries: 1. Publications: 4.
Antibacterial Efficacy and Outcomes of Root Canal Irrigation Methods
ClinicalTrials.gov study NCT06959602. IPD Sharing: YES. Countries: 1. Publications: 27.
Data from: Increasing photosynthetic benefit with decreasing irrigation frequency in an Australian temperate grassland exposed to elevated carbon dioxide
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Argentine stem weevil larval populations in irrigated pasture
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Data from: A model-based evaluation of the effects of irrigation expansion on regional and global land surface climate
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Data from: Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice
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Sorghum phenotypic data in drought and irrigated conditions in Haiti
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Data from: Effects of dry-season irrigation on leaf physiology and biomass allocation in tropical lianas and trees
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Data for: Climate change increases evaporative and crop irrigation demand in North America
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Data for: Remote sensing reveals the importance of adjacent seminatural habitat and irrigation method on aphid biocontrol in arid agroecosystems
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Gross primary production responses to warming, elevated CO2 , and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland
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Data from: Pollinators and plant nurseries: how irrigation and pesticide treatment of native ornamental plants impact solitary bees
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Effects of surface mulches on abiotic properties of drip-irrigated xeric landscapes in central Arizona-Phoenix
The primary objective of this project is to study Effects of Surface Mulches on Abiotic Properties of Drip-Irrigated Xeric Landscapes Soil moisture (Li 2003, van Wesemael et al 1996). Vegetative mulches such as green waste compost and pine bark chips also reduce evaporation and increase soil moisture (Brady and Weil 2002, Pickering et al 1998). Mulches increase water infiltration into the soil profile by preventing soil crust formation (Brady and Weil 2002). Mulch improves soil structure, reduces soil erosion and reduces surface compaction by protecting soil aggregates from beating rain and direct solar radiation (Brady and Weil 2002, Borland 1990, Li 2003). Mulch buffers soil temperature extremes (Brady and Weil 2002, Li 2003, Montague et al 1998 and 2000, Pickering et al 1998). .
Plant aboveground biomass data: The Effect of Nitrogen Addition and Irrigation in High Diveristy Prairies
Water and nitrogen are two potentially major limiting resources in prairie grasslands of the region, and thus might be added to restored high-diversity grasslands used for biofuel production. In this full-factorial experiment, 36 high-diversity 9 m x 9 m plots that were planted with 32 species in 1994 were randomly assigned to one of six treatments. Treatments were all combination of a water treatment (ambient rainfall or ambient rainfall plus ~ 2 cm/week of irrigation) and of a nitrogen treatment (annual nitrogen addition of 0, 7, or 14 grams of N - as ammonium nitrate - per square meter). Aboveground biomass is harvested each fall in each plot, dried, and weighed. These treatments are determining the importance of both water and N limitation in high-diversity restored prairie grassland, their interactive effects, and the year-to-year variation in yields and treatment effects. They are also determining the potential sustainability of such yields and the effects of the various treatments on plant diversity.
Root biomass data: The Effect of Nitrogen Addition and Irrigation in High Diveristy Prairies
Water and nitrogen are two potentially major limiting resources in prairie grasslands of the region, and thus might be added to restored high-diversity grasslands used for biofuel production. In this full-factorial experiment, 36 high-diversity 9 m x 9 m plots that were planted with 32 species in 1994 were randomly assigned to one of six treatments. Treatments were all combination of a water treatment (ambient rainfall or ambient rainfall plus ~ 2 cm/week of irrigation) and of a nitrogen treatment (annual nitrogen addition of 0, 7, or 14 grams of N - as ammonium nitrate - per square meter). Aboveground biomass is harvested each fall in each plot, dried, and weighed. These treatments are determining the importance of both water and N limitation in high-diversity restored prairie grassland, their interactive effects, and the year-to-year variation in yields and treatment effects. They are also determining the potential sustainability of such yields and the effects of the various treatments on plant diversity.
GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin (Irrigated, Rain-fed)
<p>GCAM Version 2 Reference Scenario with Water Constraints Downscaled with Demeter to 5-arcmin resolution for year 2015 for irrigated and rain-fed GCAM crop breakout along with forest, urban, sparse, snow, shrub land classes. This run was generated for use by the `teleconnect` package (see <a href="https://github.com/IMMM-SFA/teleconnect">https://github.com/IMMM-SFA/teleconnect</a>). The following is the full README found in the zipped data resource:</p> <blockquote> <p>GCAM v5.2 to Demeter </p> <p>Title:<br> Demeter output for GCAM v5.2 with water constraints - Reference scenario</p> <p>Description:<br> Demeter run conducted using the base layer combining Mirca and Modis v6 type 5 to generate rain-fed and irrigated crops constrained to Modis crop area. GCAM projection split RockIceDesert into snow and sparse land classes.</p> <p>Building the Demeter base layer for use with GCAM allocated land classes and use types:<br> Described in the readme_gcam-reg32basin235_modis-v6-2010_mirca2000_5arcmin.pdf document the docs directory of this data archive.</p> <p>GCAM Version: https://github.com/JGCRI/gcam-core/tree/gcam-v5.2 ; https://doi.org/10.5281/zenodo.3528353 </p> <p>GCAM Reference:<br> Calvin, K., Patel, P., Clarke, L., Asrar, G., Bond-Lamberty, B., Cui, R. Y., Di Vittorio, A., Dorheim, K., Edmonds, J., Hartin, C., Hejazi, M., Horowitz, R., Iyer, G., Kyle, P., Kim, S., Link, R., McJeon, H., Smith, S. J., Snyder, A., Waldhoff, S., and Wise, M.: GCAM v5.1: representing the linkages between energy, water, land, climate, and economic systems, Geosci. Model Dev., 12, 677–698, https://doi.org/10.5194/gmd-12-677-2019, 2019.</p> <p>Demeter Reference:<br> Vernon, C.R., Le Page, Y., Chen, M., Huang, M., Calvin, K.V., Kraucunas, I.P. and Braun, C.J., 2018. Demeter – A Land Use and Land Cover Change Disaggregation Model. Journal of Open Research Software, 6(1), p.15. DOI: http://doi.org/10.5334/jors.208</p> <p>Run:<br> GCAM reference scenario with water constraints conducted by Sonny Kim (skim@pnnl.gov) originally retrieved from PNNL's Constance here: /pic/projects/GCAM/water_market/database_basexdbGCAM51WaterConstr. </p> <p>Contents:<br> teleconnect_agu2019<br> -- config_gcam5p1_watconstr_ref.ini (Demeter configuration file) <br> -- code (code to run Demeter pre-, run, and post-processing)<br> ---- README.txt (Description of run order and process for Demeter on Constance)<br> ---- demeter_preprocess.py (Python script to extract land data from the GCAM database and split RockIceDesert into snow and sparse)<br> ---- demeter_postprocessing.py (Python script to create fractional output of Demeter's native output in square kilometers)<br> ---- run_demeter.py (Python script to run Demeter)<br> ---- run_demeter_gcam5p1_watconstr_ref.sh (sbatch script to submit a Demeter run on Constance)<br> ---- run_postprocessing.sh (sbatch script to submit a post-processing run on Constance)<br> ---- run_preprocessing.sh (sbatch script to submit a pre-processing run on Constance)<br> ---- slurm-11504861.out (Slurm output from Demeter run)<br> -- GCAM <br> ---- database_basexdbGCAM51WaterConstr (GCAM output database)<br> -- inputs (input files used by Demeter) <br> ---- allocation <br> ------ gcam_regbasin_modis_v6_type5_mirca_5arcmin_constraint_alloc.csv (weighting of constraints)<br> ------ gcam_regbasin_modis_v6_type5_mirca_5arcmin_observed_alloc.csv (reclassification table for observed land classes to Demeter final land classes)<br> ------ gcam_regbasin_modis_v6_type5_mirca_5arcmin_order_alloc.csv (processing order for land classes)<br> ------ gcam_regbasin_modis_v6_type5_mirca_5arcmin_projected_alloc.csv (reclassification table for GCAM land classes to Demeter final land classes)<br> ------ gcam_regbasin_modis_v6_type5_mirca_5arcmin_transition_alloc.csv (transition order for land classes)<br> ---- constraints<br> ------ 000_nutrientavail_hswd_5arcmin.csv (nutrient availability constraint weighted by grid cell)<br> ------ 001_soilquality_hswd_5arcmin.csv (soil quality constraint weighted by grid cell)<br> ---- observed<br> ------ gcam_reg32_basin235_modis_v6_2010_mirca_2000_5arcmin_sqdeg_wgs84_11Jul2019.csv (Demeter base layer)<br> ---- projected<br> ------gcam_5p1_watconst_reference.csv (output from demeter_preprocess.py from GCAM output)<br> ------gcam_5p1_watconst_reference_split.csv (output from demeter_preprocess.py from GCAM output with RockIceDesert split into snow and sparse land classes)<br> ---- reference (see https://github.com/IMMM-SFA/demeter)<br> ------ aezcoord.csv<br> ------ countrycoord.csv<br> ------ gcam_basin_lookup.csv<br> ------ gcam_regions_32.csv<br> ------ limits.csv<br> ------ query_land_reg32_basin235_gcam5p0.xml (land allocatio query)<br> ------ regioncoord.csv<br> -- for_teleconnect<br> ---- usa_demeter.csv (file used by the `teleconnect model` containing only 5-arcmin grid cells that are in GCAM region 1 (USA))<br> -- outputs (output files from Demeter run)<br> ---- ref_watconstr_2019-11-07_07h20m46s (output Demeter run directory)<br> ------ log_files (log file directory)<br> -------- logfile_ref_watconstr_2019-11-07_07h20m46s.log (log file from Demeter run)<br> ------ spatial_landcover_tabular<br> -------- landcover_2015_fraction.csv (fraction of land cover per grid cell per land class for 2015) <br> -------- landcover_2015_sqkm.csv (square kilometers of land cover per grid cell per land class for 2015) <br> -------- landcover_2015_timestep.csv (square kilometers of land cover per grid cell per land class for 2015) <br> -- docs <br> ---- readme_gcam-reg32basin235_modis-v6-2010_mirca2000_5arcmin.pdf (creation of the Demeter base layer)</p> </blockquote>
Nonylphenol in soil-celery system simulating long-term reclaimed water irrigation: occurrence, migration, and health risk assessment
<p>The data uploaded were the biomass of celery tissues and the concentraion of nonylphenol in soil and celery tissues after harvest.</p>
A calibrated groundwater model (Modflow-NWT) data repository in the Koga Irrigation Project area, Ethiopia
<p>The repository includes the research data pertaining to the Modflow-NWT based groundwater model developed for the Koga irrigation project area, Ethiopia. The database constitutes three archived data folders namely, 1. MainData (mostly excel files which include model forcings, data used in model calibration, citizen science data, etc.), 2. GIS (mostly geospatial files to assist readers with the spatial locations of the irrigation project structures, as well as the important data and administrative locations), 3. ModelFiles (mostly text files which include model inputs and outputs).</p> <p>The data has been used in preparation of the manuscript titled, "A numerical framework to advance agricultural water management under hydrological stress conditions in a data scarce environment", published in the Agricultural Water Management journal (<a href="http://dx.doi.org/10.1016/j.agwat.2021.106947">10.1016/j.agwat.2021.106947</a>). Readers are requested to go through this article to find more details on the data. The model simulations ranged from 1st January 2008 to 15th August 2019.</p> <p> </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>
ScienceDex guides
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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.