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Source Data File for "Magnetocaloric Effect of Topological Excitations in Kitaev Magnets" published in Nat. Commun.

<table> <tbody> <tr> <td> <p><span>&ldquo;Source Data.xlsx&rdquo; for manuscript "</span>Magnetocaloric Effect of Topological Excitations in Kitaev Magnets"<span> is provided. Here is the title and a brief description for the data:</span></p> <p>&nbsp;</p> <p><span>Sheet 1: Fig1bcd(gh)</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig1.b-d. The data could also be used in generating Fig1.gh.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 2: Fig1e</span></p> <p><span>Description: The data to generate Fig.1e. The rows starting with Gamma_B represent the Gruneisen parameter; while the rows starting with B indicate the magnetic fields. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 3: Fig1f</span></p> <p><span>Description: The data to generate Fig.1f. The rows starting with T represent the temperature; while the rows starting with chi indicate the magnetic susceptibility. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 4: Fig1gh</span></p> <p><span>Description: The data to generate Fig.1gh. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 5: Fig2ab</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2a. These data also include the portion used to generate Fig.2b.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 6: Fig2cd</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of isentropes as shown in Fig.2c. These data also include the portion used to generate Fig.2d.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 7: Fig3ab</span></p> <p><span>Description: The data to generate Fig.3ab. The rows starting with T represent the temperature; rows starting with Cm represent the specific heat; rows starting with Wp represent the expectation value of flux operator; while the rows starting with S/ln2 indicate the thermal entropy. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 8: Fig3c</span></p> <p><span>Description: The data to generate Fig.3c. The rows starting with T represent the temperature; while the rows starting with S1(omega=0) indicate the estimate of relaxation rate. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 9: Fig3d</span></p> <p><span>Description: The data to generate the landscape of Fig.3d. The columns starting with kx/pi and ky/pi represent the q-points in momentum space; while the columns starting with S(q) and S_tr(q) indicate the data of spin structure factors. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 10: Fig3e</span></p> <p><span>Description: The data matrix in three-dimensional space for the landscape of specific heat as shown in Fig.3e</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 11: Fig4a</span></p> <p><span>Description: The data to generate Fig.4a. The rows starting with T represent the temperature; while the rows starting with S/ln2 indicate the thermal entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 12: Fig4c</span></p> <p><span>Description: The data to generate Fig.4c. The rows starting with Ti represent the initial temperature; while the rows starting with Tf indicate the final reached temperature. </span></p> <p><span>&nbsp;</span></p> <p><span>Sheet 13: Fig4d</span></p> <p><span>Description: The data to generate Fig.4d. The rows starting with T tilde represent the rescaled temperature; while the rows starting with S/ln(2s+1) indicate the renormalized entropy. Other relevant data could be found in Sheet 1.</span></p> <p><span>&nbsp;</span></p> <p><span>&nbsp;</span></p> <p><span>&nbsp;</span></p> </td> </tr> </tbody> </table>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
8
Engagement
0