XRD patterns of MUCG at different curing age. by Junxia Zhou (14381598)

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FTIR spectra of MUCG at different curing age. by Junxia Zhou (14381598)

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Description of fitting models. by Junxia Zhou (14381598)

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Mineral composition of UFC, B, and SF. by Junxia Zhou (14381598)

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The main characteristics of analysed TAHs for the Slovenian cattle farming sector. by Jure Brečko (20314959)

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Scheme of the SiTFarm tool–farm to sector level. by Jure Brečko (20314959)

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Economic indicators for cattle fattening sector, annually and as an average for 2018–2022. by Jure Brečko (20314959)

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S1 File - by Jure Brečko (20314959)

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Economic indicators, including total revenue, variable costs and gross margin for the cattle feeding sector, on a monthly, and yearly basis for the period 2018–2022. by Jure Brečko (20314959)

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Descriptive statistics for GM/h on typical cattle farming TAHs, for the monthly calculated period 2018–2022. by Jure Brečko (20314959)

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GHG emissions in TAHs. by Jure Brečko (20314959)

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Utilization of arable land and grassland TAHs are in, in %. by Jure Brečko (20314959)

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Relative monthly changes in calculated GM/h on typical cattle TAHs in Slovenia and scatter box plot for GM/h. by Jure Brečko (20314959)

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Key significant pathways in the final models of self-compassion. by Eriko Takahashi (22608061)

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Sensitivity and specificity of 11 dogs trained to detect SARS -CoV-2 from the sweat of positive and negative people from Mérida, Yucatán compared with the reference test (RT-qPCR).... by Víctor M. Vidal-Martínez (18707335)

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Raw data of Fig 2-Fig 13 in this study. by Wen Wen Zheng (17721404)

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Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

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HSF2 regulates ORF50 expression in an RTA independent manner. by Lorenza Cutrone (21144285)

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

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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”