Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…”

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Triple B←N Lewis Pair-Functionalized Triazatruxenes with Large Stokes Shifts by Yufeng Zhang (195768)

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In superadditive networks, more enhancers decrease noise and fidelity. by Alvaro Fletcher (15675430)

“…Increasing binding site numbers leads to less noise in gene expression.…”

The decrease in embryonic survival after stress coincides with a decrease in oocyte and embryo size. by Sarah Fausett (11812818)

In the first 15 days of pod fill high temperature over 30∘C decreased marketable yield for both seasons. by Miranda Y. Mortlock (20855564)

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OJS decreases locomotor activity and increases sleep time during the night cycle in the AOM/DSS model. by Patrice Cunningham (12914917)

Line graph showing the increase or decrease in the average number of bee swarms caught over the past three years (Mean  by Beatrice T. Nganso (4114768)

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Large Decreases in Tailpipe Criteria Pollutant Emissions from the U.S. Light-Duty Vehicle Fleet Expected in 2020–2040 by Rachael H. Dolan (17918706)

“…Reductions in CO₂ emissions follow a similar pattern. Large decreases in criteria pollutant and CO₂ emissions from light duty vehicles lie ahead.…”

Large Decreases in Tailpipe Criteria Pollutant Emissions from the U.S. Light-Duty Vehicle Fleet Expected in 2020–2040 by Rachael H. Dolan (17918706)

“…Reductions in CO₂ emissions follow a similar pattern. Large decreases in criteria pollutant and CO₂ emissions from light duty vehicles lie ahead.…”

Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

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Supplementary Material for: Two Novel Human Leukocyte Antigen Alleles Are Associated with Decreased Risk of Onychomycosis in a Large Cohort of Danish Blood Donors by LindsøAndersen P. (14623916)

Visualization of the impact of group, choroidal thickness (CT) and central choroidal thickness (cCT) on the visibility of large choroidal vessels (LCV). by Valentin Hacker (9956024)

Population entropy in APP/PS1 mice is decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Decrease of muscle weakness and degeneration with mutants of UPS components. by Cécile Ribot (11944875)

Total number of entrants and rate of HIV testing and results received, Washington D.C. by Samantha R. Levano (16437504)

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Average time-to-next-treatment (TTNT) analysis measured in days of large cell transformation (LCT) versus non-large cell transformation (NLCT) groups. by Neil K. Jairath (13237338)

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Realize large improvements in average NUE by removing low iNUE. by Newell R. Kitchen (12530448)

Activating cAMP synthesis decreases liberation of propionyl-CoA from cholesterol. by Kaley M. Wilburn (12060476)

Large teeth and highly protrusible jaws are evolutionarily incompatible. by Nick Peoples (21593888)

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