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506 results for “crop data”
Data of soil mineralization rates, carbon and nitrogen pools in a rainfed almond crop and an irrigated mandarin crop derived from Diverfarming project
Data of soil carbon and nitrogen dynamics, auxiliary data and methods metadata from a rainfed almond crop and an irrigated mandarin crop studied in Diverfarming project
Data and scripts for the analysis of the influence of crop pollinator dependence and growth form on yield decline
<p>Marcelo A. Aizen, Gabriela R. Gleiser, Thomas Kitzberger, Ruben Milla. <strong>Being a tree crop increases the odds of experiencing yield declines irrespective of pollinator dependence </strong>(to be submitted to PCI)</p> <p> </p> <p>Data and R scripts to reproduce the analyses and the figures shown in the paper. All analyses were performed using R 4.0.2.</p> <p> </p> <p><strong>Data</strong></p> <p>1. FAOdata_21-12-2021.csv</p> <p>This file includes yearly data (1961-2020, column 8) on yield and cultivated area (columns 6 and 10) at the country, sub-regional, and regional levels (column 2) for each crop (column 4) drawn from the United Nations Food and Agriculture Organization database (data available at <a href="http://www.fao.org/faostat/en">http://www.fao.org/faostat/en</a>; accessed July 21-12-2021). [Used in Script 1 to generate the synthesis dataset]</p> <p>2. countries.csv</p> <p>This file provides information on the region (column 2) to which each country (column 1) belongs. [Used in Script 1 to generate the synthesis dataset]</p> <p>3. dependence.csv</p> <p>This file provides information on the pollinator dependence category (column 2) of each crop (column 1).</p> <p>4. traits.csv</p> <p>This file provides information on the traits of each crop other than pollinator dependence, including, besides the crop name (column1), the variables type of harvested organ (column 5) and growth form (column 6). [Used in Script 1 to generate the synthesis dataset]</p> <p>5. dataset.csv</p> <p>The synthesis dataset generated by Script 1.</p> <p>6. growth.csv</p> <p>The yield growth dataset generated by Script 1 and used as input by Scripts 2 and 3.</p> <p>7. phylonames.csv</p> <p>This file lists all the crops (column 1) and their equivalent tip names in the crop phylogeny (column 2). [Used in Script 2 for the phylogenetically-controlled analyses]</p> <p>8.phylo137.tre</p> <p>File containing the phylogenetic tree.</p> <p> </p> <p><strong>Scripts</strong></p> <p>1. dataset</p> <p>This R script curates and merges all the individual datasets mentioned above into a single dataset, estimating and adding to this single dataset the growth rate for each crop and country, and the (log) cumulative harvested area per crop and country over the period 1961-2020.</p> <p>2. analyses</p> <p>This R script includes all the analyses described in the article’s main text.</p> <p>3. figures</p> <p>This R script creates all the main and supplementary figures of this article.</p> <p>4. lme4_phylo_setup</p> <p>R function written by Li and Bolker (2019) to carry out phylogenetically-controlled generalized linear mixed-effects models as described in the main text of the article.</p> <p> </p> <p><strong>References</strong></p> <p>Li, M., and B. Bolker. 2019. wzmli/phyloglmm: First release of phylogenetic comparative analysis in lme4- verse. Zenodo. https://doi.org/10.5281/zenodo.2639887.</p>
Data from: Quantifying the impact of crop coverings on honey bee orientation and foraging in sweet cherry orchards using RFID
<p>Advancements in agricultural production have seen the rapid adoption of protected cropping systems globally. Such systems have been optimised for plant growth and efficiency, with little understanding of the potential impacts on key insect pollinators. Here we investigate the effect of netting and polythene rain covers on the health and performance of honey bees (<em>Apis mellifera </em>L.) during the pollination of sweet cherry crops. Over two consecutive seasons, twelve full-strength colonies were equipped with tagged bees and radio frequency identification (RFID) systems. The colonies were equally divided between open control, netted, and polythene (semi-permanent VOEN in 2019 and retractable Cravo in 2020) groups. Over 1,300 individual bees were monitored for the duration of the commercial pollination period to determine behavioural parameters such as foraging commencement age, number and duration of trips, and overall survival. Bees began foraging within the optimum age range (mean 15.7-24.1 days) under all covering types, with little indication of prolonged stress or increased mortality during the short season. Polythene covers (VOEN & Cravo) were found to significantly increase the total time needed for bees to orientate successfully. Once orientated, bees placed under covers conducted up to 155% more foraging trips, with a longer cumulative duration. Covering type was found to significantly impact the amount and type of pollen collected, with the most restrictive system (VOEN) yielding the highest proportion of cherry pollen. Overall, we found little evidence to suggest that protective covers have a detrimental impact on honey bee foraging in cherry crops.</p>
Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale
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Data from: Carbon debt of field-scale Conservation Reserve Program grasslands converted to annual and perennial bioenergy crops
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Data from: Controlled drainage and subirrigation suitability in the United States: A meta-analysis of crop yield and soil moisture effects
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Data from: Winter game crop plots for gamebirds retain hedgerow breeding songbirds in an improved grassland landscape
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Data from: Native cover crops enhance biodiversity and ecosystem services in hazelnut orchards
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Data from: Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta-analysis
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Field experimental data of crop yields, nutrient concentrations, and harvest indices from around the world
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Data from: Earthworms do not increase greenhouse gas emissions (CO2 and N2O) in an ecotron experiment simulating a realistic three-crop rotation system
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Global data on crop nutrient concentration and harvest indices
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Data from: Ecosystem carbon exchange on conversion of Conservation Reserve Program grasslands to annual and perennial cropping systems
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Data from: Impact of crop type on biodiversity globally
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Data from: Evaluation of a low-cost staining method for improved visualization of sweet potato whitefly (Bemisia tabaci) eggs on multiple crop plant species
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Data from: Quantifying the impact of crop coverings on honey bee orientation and foraging in sweet cherry orchards using RFID
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Data from: Early spring-flowering winter cover crop (<em>Camelina sativa</em>) increases insect flower visits in Wisconsin (USA)
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Data for: Quantifying direct yield benefits of soil carbon increases from cover cropping
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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
Gunnison's Prairie Dog Relocation Project: Vegetation Standing Crop Data from the Sevilleta National Wildlife Refuge, New Mexico (2005-2011)
Grasslands are among the most imperiled ecosystems in the world where the loss of native species is a consequence of agriculture and desertification. In North America, 90% of the grassland has been converted to cropland where vast areas are now desertified. North America's most iconic grassland herbivores, bison and prairie dogs, are now extinct throughout most of their historic range. This study measures the standing crop of plant vegetation (perennial and annual combined) for the year on areas occupied and not occupied by Gunnison's prairie dogs on the Sevilleta National Wildlife Refuge (NWR).
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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.