The Bs meson $p_{\rm{T}}$-dependent RAA in PpPp. The measurment was carried out inside a fiducial region respecting ($p_{\rm{T}}$<10 & 1.5<|y|<2.4) and ($p_{\rm{T}}$>10 & |y|<2.4).

Distributions of $m_T$ in the $W^{+}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for e final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for e final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_T$ in the $W^{-}$ signal selection for mu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to\tau\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for ee final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for mumu final states for the pp collisions at $\sqrt{s}=$ 5TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for ee final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Distributions of $m_{ll}$ in the Z signal selection for mumu final states for the pp collisions at $\sqrt{s}=$ 13TeV after the maximum likelihood fit. The EW backgrounds include the contributions from DY, $W\to l\nu$, and diboson processes.

Figure 4 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 13TeV

Figure 5 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 5.02TeV

Figure 6 Fiducial cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes between 13TeV and 5.02TeV

Figure 7 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 13TeV

Figure 8 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes at 5.02TeV

Figure 9 Total cross sections and ratios for $W\to\ell\nu$ and $Z\to\ell\ell$ processes between 13TeV and 5.02TeV

Summary of theoretical predictions of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at ppbar collisions.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at UA1 and UA2.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at D0.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at CDF.

Summary of theoretical predictions of the total inclusive cross sections for W boson production times leptonic branching fractions at pp collisions.

Summary of experimental measurements of the total inclusive cross sections for Z boson production times leptonic branching fractions at pp collisions.

Summary of experimental measurements of the total inclusive cross sections for W and Z boson production times leptonic branching fractions at CMS.

Data from Figure 1, panel c, $k_{2}$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 1, panel c, $k_{2}$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 1, panel d, $k_{3}$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 1, panel d, $k_{3}$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel a, $N_{ch}k_{2}$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel a, $N_{ch}k_{2}$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel b, $N^{2}_{ch}k_{3}$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel b, $N^{2}_{ch}k_{3}$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel c, $\Gamma$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 2, panel c, $\Gamma$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel a, $\left\langle[p_{T}]\right\rangle / \left\langle[p_{T}]\right\rangle^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel a, $\left\langle[p_{T}]\right\rangle / \left\langle[p_{T}]\right\rangle^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel b, $k_{2}/k^{5\%}_{2} vs N_{ch}/N^{5\%}_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel b, $k_{2}/k^{5\%}_{2} vs N_{ch}/N^{5\%}_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel c, $k_{3}/k^{5\%}_{3} vs N_{ch}/N^{5\%}_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel c, $k_{3}/k^{5\%}_{3} vs N_{ch}/N^{5\%}_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel d, $\Gamma/\Gamma^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 3, panel d, $\Gamma/\Gamma^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-1\%}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-1\%}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-1\%}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 2 GeV/c, $|\eta|< $ 2.5

Data from Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-1\%}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 2 GeV/c, $|\eta|< $ 2.5

Data from Second Supplementary Figure, Fig 6, panel a, Correlation between FCal $\Sigma E_{T}$ and $N_{ch}$ in Pb+Pb collisions

Data from Second Supplementary Figure, Fig 6, panel b, Correlation between $[p_{T}]$ - $\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}$/$\left\langle N_{ch}\right\rangle_{0-1\%}$ in Pb+Pb collisions

Data from Third Supplementary Figure, Fig 7, Normalized Event distribution of $N_{ch}$ /$N^{5\%}_{ch}$ for Pb+Pb collisions

Data from Third Supplementary Figure, Fig 7, Normalized Event distribution of $N_{ch}$ / $N^{5\%}_{ch}$ for Xe+Xe collisions

Data from Fourth Supplementary Figure, Fig 8, panel a, $\gamma$ vs $N_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Fourth Supplementary Figure, Fig 8, panel a, $\gamma$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Fourth Supplementary Figure, Fig 8, panel b, $\gamma/\gamma^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Fourth Supplementary Figure, Fig 8, panel b, $\gamma/\gamma^{5\%}$ vs $N_{ch}/N^{5\%}_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Auxiliary Fig 1 panel a, Correlation between FCal $\Sigma E_{T}$ and $N_{ch}$ in Xe+Xe collisions

Data from Auxiliary Fig 1 panel b, Correlation between $[p_{T}]$ - $\left\langle[p_{T}]\right\rangle_{0-1\%}$ vs $\Delta N_{ch}$/$\left\langle N_{ch}\right\rangle_{0-1\%}$ in Xe+Xe collisions

Data from Auxiliary Fig 2 panel b, $N_{ch}$ /$N^{5\%}_{ch}$ vs Centrality [\%] for Pb+Pb collisions

Data from Auxiliary Fig 2 panel b, $N_{ch}$ /$N^{5\%}_{ch}$ vs Centrality [\%] for Xe+Xe collisions

Data from Auxiliary Fig 3 panel b, $[p_{T}]$ vs $N_{ch}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Auxiliary Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-0.5\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-0.5\%}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Auxiliary Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-0.5\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-0.5\%}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 5 GeV/c, $|\eta|< $ 2.5

Data from Auxiliary Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-0.5\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-0.5\%}$ for Pb+Pb collisions, 0.5 $ <p_{T}< $ 2 GeV/c, $|\eta|< $ 2.5

Data from Auxiliary Figure 4, $\Delta p_{T}/\left\langle[p_{T}]\right\rangle_{0-0.5\%}$ vs $\Delta N_{ch}/\left\langle N_{ch}\right\rangle_{0-0.5\%}$ for Xe+Xe collisions, 0.5 $ <p_{T}< $ 2 GeV/c, $|\eta|< $ 2.5

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 1.5 and 2.5 GeV/c for 0-20% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 1.5 and 2.5 GeV/c for 20-50% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 1.5 and 2.5 GeV/c for 50-80% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-$\Lambda$ yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 0-20% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-$\Lambda$ yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 20-50% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-$\Lambda$ yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 50-80% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 0-20% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 20-50% multiplicity class p-Pb collisions

Azimuthal distribution of the per-trigger h-h yield with trigger transverse momentum between 4 and 8 GeV/c and associated transverse momentum between 2.5 and 4.0 GeV/c for 50-80% multiplicity class p-Pb collisions

The h-$\Lambda$ and h-h per-trigger yields as a function of multiplicity in the near and away side regions for the 4-8 GeV/c trigger momentum and 1.5-2.5 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The h-$\Lambda$ and h-h per-trigger yields as a function of multiplicity in the near and away side regions for the 4-8 GeV/c trigger momentum and 2.5-4.0 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The (h-$\Lambda$)/(h-h) yield ratio as a function of multiplicity in the near side, away side and underlying event for the 4-8 GeV/c trigger momentum and 1.5-2.5 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The (h-$\Lambda$)/(h-h) yield ratio as a function of multiplicity in the near side, away side and underlying event for the 4-8 GeV/c trigger momentum and 2.5-4.0 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The h-$\Lambda$ and h-h near and away side peak widths as a function of multiplicity for the 4-8 GeV/c trigger momentum and 1.5-2.5 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The h-$\Lambda$ and h-h near and away side peak widths as a function of multiplicity for the 4-8 GeV/c trigger momentum and 2.5-4.0 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The (h-$\Lambda$)/(h-$\phi$) yield ratio as a function of multiplicity in the near side, away side and underlying event for the 4-8 GeV/c trigger momentum and 1.5-2.5 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

The (h-$\Lambda$)/(h-$\phi$) yield ratio as a function of multiplicity in the near side, away side and underlying event for the 4-8 GeV/c trigger momentum and 2.5-4.0 GeV/c associated momentum bin. The relationship between charged particle multiplicity and event multiplicity class (by percentile) is given in Table 5 of the corresponding manuscript.

Yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=13$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $-1.2<\Delta\eta<1.2$ and $-\pi/2<\Delta\varphi<3/2\pi$.

Transverse-to-leading yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=13$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $0.86<|\Delta\eta|<1.2$ and $0.96<\Delta\varphi<1.8$.

Toward-leading yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=13$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $|\Delta\eta|<0.86$ and $|\Delta\varphi|<1.1$.

Yields of $\rm K^{0}_\rm{S}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\rm K^{0}_\rm{S}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\rm K^{0}_\rm{S}$ correlation is integrated in the ranges $-1.2<\Delta\eta<1.2$ and $-\pi/2<\Delta\varphi<3/2\pi$.

Transverse-to-leading yields of $\rm K^{0}_\rm{S}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\rm K^{0}_\rm{S}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\rm K^{0}_\rm{S}$ correlation is integrated in the ranges $0.86<|\Delta\eta|<1.2$ and $0.96<\Delta\varphi<1.8$.

Toward-leading yields of $\rm K^{0}_\rm{S}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\rm K^{0}_\rm{S}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\rm K^{0}_\rm{S}$ correlation is integrated in the ranges $|\Delta\eta|<0.86$ and $|\Delta\varphi|<1.1$.

Yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $-1.2<\Delta\eta<1.2$ and $-\pi/2<\Delta\varphi<3/2\pi$.

Transverse-to-leading yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $0.86<|\Delta\eta|<1.2$ and $0.96<\Delta\varphi<1.8$.

Toward-leading yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the $\Xi^{\pm}$ $p_\rm{T}$. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c. The trigger-particle-$\Xi^{\pm}$ correlation is integrated in the ranges $|\Delta\eta|<0.86$ and $|\Delta\varphi|<1.1$.

Yields of $\rm K^{0}_\rm{S}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=13$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

Yields of $\rm K^{0}_\rm{S}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

Yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=13$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

Yields of $\Xi^{\pm}$ per trigger particle per unit $\Delta\eta\Delta\varphi$ area in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

$\Xi^{\pm}/\rm K^{0}_{\rm S}$ in pp collisions at $\sqrt{s}=13$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

$\Xi^{\pm}/\rm K^{0}_{\rm S}$ in pp collisions at $\sqrt{s}=5.02$ TeV, as a function of the charged particle multiplicity measured in events with a trigger particle. Trigger particles are charged particles with $p_\rm{T}>3$ GeV/c.

The $p_\mathrm{T}$-integrated nuclear modification factor $R_\mathrm{pPb}$ of charm production at midrapidity in p-Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV.

$\Xi_\mathrm{c}^0/\Lambda_c^+$ ratio as a function of $p_\mathrm{T}$ in p–Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV.

Prompt $\Xi_\mathrm{c}^0$ cross-section integrated in the $2 < p_\mathrm{T} < 12$ GeV/$c$ interval measured in p–Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV.

Prompt $\Xi_\mathrm{c}^0$ $p_\mathrm{T}$-integrated cross-section in the $p_\mathrm{T}>0$ interval measured in p–Pb collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV.

Pairwise (h--$\phi$)/(h--h) ratio vs $\langle N_{\mathrm{ch}} \rangle$ for the higher associated momentum range, $2.5 < p_{\mathrm{T, assoc}} < 4.0 \mathrm{~GeV}/c$ in p--Pb collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV in the pseudorapidity region $|\eta|<0.8$.

Unfolded groomed jet radius distribution in PbPb normalized to the number of jets that pass the $x_J$>0.4 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.

Covariance matrix of the statistical uncertainty in data for the unfolded groomed jet radius distribution in PbPb for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded groomed jet radius distribution in PbPb for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Unfolded jet girth distribution in PbPb normalized to the number of jets that pass the $x_J$>0.8 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.

Covariance matrix of the statistical uncertainty in data for the unfolded jet girth distribution in PbPb for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the jet girth distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded jet girth distribution in PbPb for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the jet girth distribution.

Unfolded groomed jet radius distribution in PbPb normalized to the number of jets that pass the $x_J$>0.8 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.

Covariance matrix of the statistical uncertainty in data for the unfolded groomed jet radius distribution in PbPb for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded groomed jet radius distribution in PbPb for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Unfolded jet girth distribution in pp normalized to the number of jets that pass the $x_J$>0.4 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.

Covariance matrix of the statistical uncertainty in data for the unfolded jet girth distribution in pp for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the jet girth distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded jet girth distribution in pp for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the jet girth distribution.

Unfolded groomed jet radius distribution in pp normalized to the number of jets that pass the $x_J$>0.4 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.

Covariance matrix of the statistical uncertainty in data for the unfolded groomed jet radius distribution in pp for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded groomed jet radius distribution in pp for jets that pass the $x_J$>0.4 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Unfolded jet girth distribution in pp normalized to the number of jets that pass the $x_J$>0.8 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.

Covariance matrix of the statistical uncertainty in data for the unfolded jet girth distribution in pp for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the jet girth distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded jet girth distribution in pp for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the jet girth distribution.

Unfolded groomed jet radius distribution in pp normalized to the number of jets that pass the $x_J$>0.8 selection. All systematic uncertainties are bin-to-bin fully correlated (allowing for sign-changes bin-to-bin).The covaraince matrices are provided for the statistical uncertainties from data and MC in this HepData record.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.

Covariance matrix of the statistical uncertainty in data for the unfolded groomed jet radius distribution in pp for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Covariance matrix of the statistical uncertainty in MC for the unfolded groomed jet radius distribution in pp for jets that pass the $x_J$>0.8 selection.The bin indices correspond to the bins used in the groomed jet radius distribution.

Ratio of yields in PbPb to pp for the unfolded jet girth distribution normalized to the number of jets that pass the $x_J$>0.4 selection. Each uncertainty is symmetrized and added in quadrature.All systematic uncertainties have been obtained assuming the PbPb and pp uncertainties are uncorrelated.

Ratio of yields in PbPb to pp for the unfolded groomed jet radius distribution normalized to the number of jets that pass the $x_J$>0.4 selection. Each uncertainty is symmetrized and added in quadrature.All systematic uncertainties have been obtained assuming the PbPb and pp uncertainties are uncorrelated.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.

Ratio of yields in PbPb to pp for the unfolded jet girth distribution normalized to the number of jets that pass the $x_J$>0.8 selection. Each uncertainty is symmetrized and added in quadrature.All systematic uncertainties have been obtained assuming the PbPb and pp uncertainties are uncorrelated.

Ratio of yields in PbPb to pp for the unfolded groomed jet radius distribution normalized to the number of jets that pass the $x_J$>0.8 selection. Each uncertainty is symmetrized and added in quadrature.All systematic uncertainties have been obtained assuming the PbPb and pp uncertainties are uncorrelated.The negative (-0.05,0) bin accounts for jets that failed the soft-drop grooming condition.