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506
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ShareScore release 0.9.0
Dataset results
506 results for “crop data”
Data from: The genetic architecture of ecological adaptation: intraspecific variation in host plant use by the lepidopteran crop pest Chloridea virescens
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Data from: Crop pollination services: complementary resource use by social vs solitary bees facing crops with contrasting flower supply
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Data from: Effective specialist or jack of all trades? Experimental evolution of a crop pest in fluctuating and stable environments
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Data from: Biological pest control and yields depend on spatial and temporal crop cover dynamics
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Data from: Crop health is predicted by soil microbial diversity across phylogenetic scales
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Data from: A functional diversity approach of crop sequences reveals that weed diversity and abundance show different responses to environmental variability
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Data from: Genetic diversity of Helosciadium repens (Jacq.) W.D.J. Koch (Apiaceae) in Germany, a Crop Wild Relative of celery
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Data from: Experimental evidence that honeybees depress wild insect densities in a flowering crop
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Data from: Can above-ground ecosystem services compensate for reduced fertilizer input and soil organic matter in annual crops?
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Data from: Monarch butterfly and milkweed declines substantially predate the use of genetically modified crops
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Data from: Abiotic and biotic context dependency of perennial crop yield
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Data from: Species richness of wild bees, but not the use of managed honey bees, increases fruit set of a pollinator-dependent crop
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Data from: Molecular analysis reveals high compartmentalisation in aphid-primary parasitoid networks and low parasitoid sharing between crop and non-crop habitats.
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Data from: Suppression of the invasive plant mile-a-minute (Mikania micrantha) by local crop sweet potato (Ipomoea batatas) by means of higher growth rate and competition for soil nutrients
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Data from: Deployment of organic farming at a landscape scale maintains low pest infestation and high crop productivity in vineyards
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Data for: Perennial biomass cropping and use: Shaping the policy ecosystem in European countries
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Insights into short and long-term crop-foraging strategies in a chacma baboon (Papio ursinus) from GPS and accelerometer data
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Data from: Water-conscious management strategies reduce per-yield irrigation and soil emissions of CO2, N2O, and NO in high-temperature forage cropping systems.
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Yield data for "Sanford, G. R. et.al. 2016. Comparative productivity of alternative cellulosic bioenergy cropping systems in the North Central USA. Agriculture, Ecosystems and Environment 216:344-355."
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Data from: Multifaceted functional diversity for multifaceted crop yield: towards ecological assembly rules for varietal mixtures
<p>Data and code for the study "Multifaceted functional diversity for multifaceted crop yield: towards ecological assembly rules for varietal mixtures"</p> <p>Two data files are available:</p> <ul> <li>"CWM_D.csv" contains one row per experimental plot with community-weighted mean (CWM) and Rao quadratic diversity (D) indices computed on the 19 functional traits.</li> </ul> <p>The first two columns ("genotype_1" & "genotype_2") are the identity of the two genotypes in the plot, which are identical in single-variety plots. The third column ("assoc") refers to the plot type: single-variety ("M") or mixed-variety ("P") plot. Then, all trait CWMs and Ds are reported as "CWM_trait_name" and "D_trait_name" , respectively. For single-variety plots, only CWMs are reported but in this case they correspond to unweighted-averaged trait values across replicated measurements within plots. Root trait names are followed by "sem" or "adv" depending if they were measured on seminal or adventitious roots. Reported traits are: "Angle_aer" (Aerial angle, °), "Angle_root" (Root angle, °), "Diam_sem/adv" (mean root diameter, mm), "SRL_sem/adv" (specific root length, m/g), "RTD_sem/adv" (root tissue density, g/cm3), "RBI_sem/adv" (root branching intensity, nb of root tips/cm), "RLD_sem/adv" (root length density, cm root/cm3 soil), "Till_nb" (tiller number per capita), "Ear_bio" (early biomass per capita, g), "SLA" (specific leaf area, m²/kg), "LNC" (leaf nitrogen content, %), "Height" (plant height, cm), "Heading" (heading date, Growing Degree Days), and "Maturity" (maturity date, Growing Degree Days).</p> <ul> <li>"RAW_RYT.csv" contains one row per experimental plot with absolute and relative measures of performance on several agronomic variables.</li> </ul> <p>The first two columns ("genotype_1" & "genotype_2") are the identity of the two genotypes in the plot, which are identical in single-variety plots. The third column ("assoc") refers to the plot type: single-variety ("M") or mixed-variety ("P") plot. Then, all absolute and relative measures of agronomic performance are reported as "RAW_performance_variable_name" and "RYT_performance_variable_name", respectively. For single-variety plots, only absolute performances are reported. Reported performance variable are "GY" (Grain yield, g/m²), "GNb" (Grain number per m²), "SY" (Spike yield, g/m²), "SNb" (Spike number per m²), "BY" (Biomass yield, g/m²), "PY" (Protein yield, g/m²), "TKW" (Thousand kernel weight, g), "SeY" (Semolina yield, %), "GPC" (Grain protein content, %), "TW" (Test weight, kg/hL), "RLVA" (Rate of loss of vitreous aspect, %), "YI" (Yellowness index), "GPD" (Grain protein deviation, %).</p> <p>One R code file is available:</p> <ul> <li>"Mu_FD_Mu_CY_Analysis.R" contains all statistical analysis performed to produce the results presented in the main text and in the Supplementary Information of the study. It uses "CWM_D.csv" and "RAW_RYT.csv" files as inputs.</li> </ul>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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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.