Innovative trend analysis of annual rainfall (1981–2022). by Asnake Adane (19935018)

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Monthly, seasonal and annual distribution of rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.44065... by Asnake Adane (19935018)

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Innovative trend analysis of SON rainfall (1981–2022). by Asnake Adane (19935018)

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Coefficient of variation (CV) seasonal rainfall in Wollo (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.00... by Asnake Adane (19935018)

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Innovative trend analysis of DJF rainfall (1981–2022). by Asnake Adane (19935018)

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Annual standardized rainfall anomaly (1981–2022) (shapefile extracted from https://hub.arcgis.com/datasets/esri::world-countries/explore?location=-1.440657,0.000000,3.00). by Asnake Adane (19935018)

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Variables, the Time Points Collected, and the Number of Nurses Who Responded. by Rachel G. Baskin (22127334)

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Illustration of the innovative trend analysis (ITA) method. by Asnake Adane (19935018)

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Station data and gridded annual rainfall amounts (mm) and their coefficient of variation (% in parenthesis) at selected stations (1981–2022). by Asnake Adane (19935018)

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Descriptive Statistics of Stress Specific to COVID-19, Burnout, Resilience, PTS, and Adequate Work Resources. by Rachel G. Baskin (22127334)

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S1 Data - by Asnake Adane (19935018)

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Colon length changes according to IBD-exacerbated factors in Il2rg-deficient mice. by Sun-Min Seo (13154880)

Relationship between age- and sex-standardised anti-Ov16 seroprevalence in children aged 3‒9 years and age- and sex-standardised confirmed prevalence of epilepsy (A) and probable n... by Luís-Jorge Amaral (16406704)

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Design of the D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Estimated mean values for light interception. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data V-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Raw data D-trial. by Torsten Schober (20485754)

“…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m². …”

Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

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Scatter plots of the linear regression for the relationship between the duration of the vegetative phase and the average mass of single inflorescences. by Torsten Schober (20485754)

Fig 5 - by Torsten Schober (20485754)