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3,892 results for “Tablets”
Bagan, Manadalay, Myanmar. Clay tablet inscription, National Museum of Myanmar, Yangon.
<p>Bagan, Mandalay. Clay tablet inscription in Pāli, referring to an image made by Aniruddha. Now in the National Museum of Myanmar, Yangon. Provisional translation: This [image of] the Lord was made by Mahārāja Śrī Aniruddhadeva for the purpose of liberation by his own hand.</p>
The Key to the City: Using Digital Tools to Understand Tablet Provenience
<p>These files are those used in the keyness analysis for unprovenienced "Diyala" texts against tablets from Tutub, Eshnunna, Tell Suleimah, Kish and Girsu. Each site has two files: the cleaned atf used to generate a word list, and the word list giving the frequency of each word (based on the lemmatized version of words in the Lemma List and incomplete words in the Stopword List).</p>
Mandsaur fragmentary inscription of Kumāravarman, reconstruction of tablet
<p>Figure 42 in</p> <p><em>To engrave his virtues on the disc of the moon… Inscriptions of the Aulikaras and Their Associates</em></p> <p>Dániel Balogh, 2019</p> <p>Mandsaur fragmentary inscription of Kumāravarman.</p> <p>Siddham OB00192</p> <p>Siddham IN00207</p> <p>Reconstruction of tablet using composite digital photograph by the author, 2017. Courtesy of Yashodharman Museum, Mandsaur</p> <p> </p> <p> </p>
Chanderi, Madhya Pradesh. Inscribed talimanic tablet.
<p>Chanderi, Madhya Pradesh. Inscribed talimanic tablet, possibly 15th century (?).</p>
LoLiPoP-IoT TU/e Dataset: Preferred Illuminance at Different Correlated Color Temperatures for Paper- and Tablet-based Reading Tasks in an Office Environment
<p>The dataset has the following <strong>576</strong> (=i.e., <strong>32</strong> Participants × <strong>3</strong> CCTs × <strong>2</strong> task media × <strong>3</strong> repetitions) preferred illuminance values (unit: lx).</p> <table> <tbody> <tr> <td> </td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> <td><strong>Paper</strong></td> </tr> <tr> <td><strong>Participant ID</strong></td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> </tr> <tr> <td><strong>1</strong></td> <td>1098.00</td> <td>1668.00</td> <td>452.70</td> <td>396.20</td> <td>812.70</td> <td>589.60</td> <td>1139.00</td> <td>603.40</td> <td>502.60</td> </tr> <tr> <td><strong>2</strong></td> <td>275.90</td> <td>322.20</td> <td>316.00</td> <td>455.60</td> <td>412.30</td> <td>387.40</td> <td>382.30</td> <td>346.10</td> <td>411.10</td> </tr> <tr> <td><strong>3</strong></td> <td>2872.00</td> <td>399.70</td> <td>304.60</td> <td>1814.00</td> <td>339.80</td> <td>574.70</td> <td>1750.00</td> <td>725.60</td> <td>442.20</td> </tr> <tr> <td><strong>4</strong></td> <td>843.20</td> <td>686.40</td> <td>1088.00</td> <td>755.40</td> <td>1001.00</td> <td>818.20</td> <td>817.10</td> <td>790.70</td> <td>810.40</td> </tr> <tr> <td><strong>5</strong></td> <td>541.00</td> <td>404.10</td> <td>561.10</td> <td>513.50</td> <td>380.20</td> <td>419.70</td> <td>335.20</td> <td>343.30</td> <td>459.10</td> </tr> <tr> <td><strong>6</strong></td> <td>308.30</td> <td>289.90</td> <td>237.20</td> <td>485.20</td> <td>437.00</td> <td>403.90</td> <td>385.90</td> <td>462.80</td> <td>478.00</td> </tr> <tr> <td><strong>7</strong></td> <td>1111.00</td> <td>1531.00</td> <td>1280.00</td> <td>1422.00</td> <td>1273.00</td> <td>1812.00</td> <td>1408.00</td> <td>1618.00</td> <td>1734.00</td> </tr> <tr> <td><strong>8</strong></td> <td>744.20</td> <td>545.00</td> <td>462.90</td> <td>605.50</td> <td>616.00</td> <td>575.10</td> <td>1020.00</td> <td>721.20</td> <td>661.10</td> </tr> <tr> <td><strong>9</strong></td> <td>422.50</td> <td>707.40</td> <td>363.40</td> <td>460.30</td> <td>514.00</td> <td>353.40</td> <td>433.00</td> <td>463.80</td> <td>481.60</td> </tr> <tr> <td><strong>10</strong></td> <td>833.00</td> <td>626.80</td> <td>595.60</td> <td>773.60</td> <td>727.40</td> <td>363.40</td> <td>746.90</td> <td>723.70</td> <td>214.30</td> </tr> <tr> <td><strong>11</strong></td> <td>379.20</td> <td>689.10</td> <td>703.60</td> <td>526.80</td> <td>711.30</td> <td>981.40</td> <td>431.40</td> <td>511.20</td> <td>873.10</td> </tr> <tr> <td><strong>12</strong></td> <td>683.30</td> <td>764.60</td> <td>1124.00</td> <td>995.10</td> <td>990.10</td> <td>1116.00</td> <td>901.10</td> <td>962.50</td> <td>1296.00</td> </tr> <tr> <td><strong>13</strong></td> <td>318.30</td> <td>406.10</td> <td>492.20</td> <td>424.80</td> <td>531.40</td> <td>549.80</td> <td>510.70</td> <td>471.70</td> <td>529.20</td> </tr> <tr> <td><strong>14</strong></td> <td>228.80</td> <td>200.40</td> <td>233.30</td> <td>326.00</td> <td>322.30</td> <td>342.00</td> <td>425.40</td> <td>337.70</td> <td>411.10</td> </tr> <tr> <td><strong>15</strong></td> <td>252.10</td> <td>296.60</td> <td>293.60</td> <td>323.90</td> <td>318.40</td> <td>351.70</td> <td>328.10</td> <td>321.50</td> <td>572.70</td> </tr> <tr> <td><strong>16</strong></td> <td>473.70</td> <td>682.90</td> <td>709.00</td> <td>468.60</td> <td>855.50</td> <td>896.50</td> <td>611.00</td> <td>1165.00</td> <td>846.30</td> </tr> <tr> <td><strong>17</strong></td> <td>388.20</td> <td>266.90</td> <td>300.00</td> <td>386.30</td> <td>404.30</td> <td>372.30</td> <td>383.60</td> <td>364.20</td> <td>370.60</td> </tr> <tr> <td><strong>18</strong></td> <td>626.90</td> <td>740.70</td> <td>891.80</td> <td>644.60</td> <td>815.60</td> <td>938.50</td> <td>541.50</td> <td>558.20</td> <td>780.10</td> </tr> <tr> <td><strong>19</strong></td> <td>1025.00</td> <td>558.70</td> <td>535.70</td> <td>1056.00</td> <td>747.30</td> <td>1608.00</td> <td>819.70</td> <td>1092.00</td> <td>1259.00</td> </tr> <tr> <td><strong>20</strong></td> <td>661.80</td> <td>533.20</td> <td>464.60</td> <td>1093.00</td> <td>861.80</td> <td>1070.00</td> <td>894.60</td> <td>738.40</td> <td>1459.00</td> </tr> <tr> <td><strong>21</strong></td> <td>466.60</td> <td>401.70</td> <td>455.00</td> <td>542.90</td> <td>550.00</td> <td>491.30</td> <td>482.00</td> <td>540.60</td> <td>431.10</td> </tr> <tr> <td><strong>22</strong></td> <td>1093.00</td> <td>1037.00</td> <td>1106.00</td> <td>612.30</td> <td>777.20</td> <td>1041.00</td> <td>353.00</td> <td>848.10</td> <td>478.20</td> </tr> <tr> <td><strong>23</strong></td> <td>688.80</td> <td>1034.00</td> <td>746.90</td> <td>752.60</td> <td>1301.00</td> <td>817.80</td> <td>717.70</td> <td>730.20</td> <td>893.70</td> </tr> <tr> <td><strong>24</strong></td> <td>468.00</td> <td>231.50</td> <td>150.20</td> <td>666.90</td> <td>304.20</td> <td>282.40</td> <td>486.20</td> <td>319.30</td> <td>276.60</td> </tr> <tr> <td><strong>25</strong></td> <td>646.80</td> <td>1064.00</td> <td>743.10</td> <td>1072.00</td> <td>996.10</td> <td>961.20</td> <td>623.60</td> <td>1203.00</td> <td>1026.00</td> </tr> <tr> <td><strong>26</strong></td> <td>307.90</td> <td>224.70</td> <td>255.40</td> <td>410.10</td> <td>331.50</td> <td>331.80</td> <td>259.00</td> <td>354.60</td> <td>311.10</td> </tr> <tr> <td><strong>27</strong></td> <td>609.00</td> <td>661.80</td> <td>526.00</td> <td>451.50</td> <td>496.20</td> <td>557.70</td> <td>421.30</td> <td>475.60</td> <td>594.70</td> </tr> <tr> <td><strong>28</strong></td> <td>456.40</td> <td>479.60</td> <td>412.40</td> <td>458.60</td> <td>314.70</td> <td>349.90</td> <td>445.40</td> <td>331.80</td> <td>445.80</td> </tr> <tr> <td><strong>29</strong></td> <td>546.40</td> <td>921.10</td> <td>872.40</td> <td>906.50</td> <td>1001.00</td> <td>873.70</td> <td>576.90</td> <td>897.10</td> <td>840.70</td> </tr> <tr> <td><strong>30</strong></td> <td>438.90</td> <td>398.30</td> <td>372.90</td> <td>559.30</td> <td>344.60</td> <td>475.30</td> <td>359.90</td> <td>314.90</td> <td>403.50</td> </tr> <tr> <td><strong>31</strong></td> <td>667.10</td> <td>554.10</td> <td>449.70</td> <td>737.10</td> <td>730.10</td> <td>589.60</td> <td>789.00</td> <td>474.60</td> <td>603.80</td> </tr> <tr> <td><strong>32</strong></td> <td>1234.00</td> <td>1198.00</td> <td>1007.00</td> <td>849.00</td> <td>1158.00</td> <td>770.00</td> <td>909.70</td> <td>989.80</td> <td>726.70</td> </tr> </tbody> </table> <p> </p> <p> </p> <table> <tbody> <tr> <td><strong>Participant ID</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> <td><strong>Tablet</strong></td> </tr> <tr> <td> </td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 1 (3000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 2 (4000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> <td><strong>CCT 3 (6000 K)</strong></td> </tr> <tr> <td><strong>1</strong></td> <td>154.80</td> <td>149.50</td> <td>98.75</td> <td>630.00</td> <td>288.90</td> <td>304.10</td> <td>181.80</td> <td>192.80</td> <td>199.60</td> </tr> <tr> <td><strong>2</strong></td> <td>179.40</td> <td>225.40</td> <td>241.00</td> <td>242.60</td> <td>316.80</td> <td>372.50</td> <td>206.40</td> <td>333.80</td> <td>275.20</td> </tr> <tr> <td><strong>3</strong></td> <td>681.70</td> <td>662.10</td> <td>703.70</td> <td>484.90</td> <td>662.70</td> <td>468.90</td> <td>2085.00</td> <td>537.40</td> <td>385.70</td> </tr> <tr> <td><strong>4</strong></td> <td>632.10</td> <td>1171.00</td> <td>998.30</td> <td>613.10</td> <td>1012.00</td> <td>818.40</td> <td>678.30</td> <td>693.70</td> <td>675.30</td> </tr> <tr> <td><strong>5</strong></td> <td>421.70</td> <td>349.30</td> <td>234.40</td> <td>392.50</td> <td>303.40</td> <td>280.20</td> <td>307.20</td> <td>428.70</td> <td>268.00</td> </tr> <tr> <td><strong>6</strong></td> <td>217.40</td> <td>206.00</td> <td>198.10</td> <td>324.40</td> <td>304.40</td> <td>343.70</td> <td>283.70</td> <td>285.70</td> <td>293.10</td> </tr> <tr> <td><strong>7</strong></td> <td>992.50</td> <td>1338.00</td> <td>1807.00</td> <td>1849.00</td> <td>1301.00</td> <td>1423.00</td> <td>1637.00</td> <td>1442.00</td> <td>1700.00</td> </tr> <tr> <td><strong>8</strong></td> <td>840.20</td> <td>1131.00</td> <td>778.60</td> <td>891.20</td> <td>1019.00</td> <td>651.80</td> <td>810.80</td> <td>1016.00</td> <td>866.20</td> </tr> <tr> <td><strong>9</strong></td> <td>391.40</td> <td>337.40</td> <td>355.70</td> <td>314.90</td> <td>510.80</td> <td>463.60</td> <td>209.80</td> <td>450.60</td> <td>435.30</td> </tr> <tr> <td><strong>10</strong></td> <td>493.40</td> <td>535.00</td> <td>691.80</td> <td>657.60</td> <td>740.50</td> <td>342.60</td> <td>1710.00</td> <td>781.00</td> <td>339.60</td> </tr> <tr> <td><strong>11</strong></td> <td>361.70</td> <td>277.90</td> <td>431.00</td> <td>342.80</td> <td>327.80</td> <td>337.60</td> <td>350.40</td> <td>237.20</td> <td>308.90</td> </tr> <tr> <td><strong>12</strong></td> <td>857.10</td> <td>1114.00</td> <td>1348.00</td> <td>1302.00</td> <td>1408.00</td> <td>1294.00</td> <td>1031.00</td> <td>1142.00</td> <td>1078.00</td> </tr> <tr> <td><strong>13</strong></td> <td>371.80</td> <td>358.20</td> <td>731.40</td> <td>320.10</td> <td>459.50</td> <td>360.00</td> <td>440.40</td> <td>507.10</td> <td>436.90</td> </tr> <tr> <td><strong>14</strong></td> <td>361.20</td> <td>267.00</td> <td>285.80</td> <td>414.80</td> <td>398.70</td> <td>365.90</td> <td>411.50</td> <td>381.50</td> <td>392.30</td> </tr> <tr> <td><strong>15</strong></td> <td>376.00</td> <td>297.80</td> <td>294.20</td> <td>326.20</td> <td>330.50</td> <td>351.70</td> <td>327.90</td> <td>397.00</td> <td>357.00</td> </tr> <tr> <td><strong>16</strong></td> <td>221.20</td> <td>557.40</td> <td>536.30</td> <td>885.40</td> <td>518.90</td> <td>688.50</td> <td>192.40</td> <td>703.50</td> <td>568.90</td> </tr> <tr> <td><strong>17</strong></td> <td>435.70</td> <td>479.40</td> <td>444.50</td> <td>391.00</td> <td>452.90</td> <td>426.60</td> <td>421.40</td> <td>390.60</td> <td>397.80</td> </tr> <tr> <td><strong>18</strong></td> <td>431.50</td> <td>728.60</td> <td>985.70</td> <td>319.40</td> <td>542.10</td> <td>890.40</td> <td>326.90</td> <td>696.70</td> <td>575.80</td> </tr> <tr> <td><strong>19</strong></td> <td>470.80</td> <td>586.10</td> <td>476.90</td> <td>667.10</td> <td>570.10</td> <td>614.20</td> <td>803.80</td> <td>638.80</td> <td>679.50</td> </tr> <tr> <td><strong>20</strong></td> <td>186.10</td> <td>386.50</td> <td>335.60</td> <td>457.40</td> <td>471.20</td> <td>370.90</td> <td>324.70</td> <td>292.60</td> <td>273.40</td> </tr> <tr> <td><strong>21</strong></td> <td>420.80</td> <td>494.30</td> <td>447.60</td> <td>500.80</td> <td>470.30</td> <td>613.00</td> <td>581.80</td> <td>411.40</td> <td>361.40</td> </tr> <tr> <td><strong>22</strong></td> <td>510.20</td> <td>221.60</td> <td>228.60</td> <td>300.80</td> <td>285.50</td> <td>282.30</td> <td>477.30</td> <td>326.50</td> <td>185.20</td> </tr> <tr> <td><strong>23</strong></td> <td>202.20</td> <td>294.20</td> <td>252.00</td> <td>261.60</td> <td>308.80</td> <td>259.90</td> <td>476.10</td> <td>157.80</td> <td>313.10</td> </tr> <tr> <td><strong>24</strong></td> <td>464.10</td> <td>477.30</td> <td>516.50</td> <td>629.00</td> <td>516.70</td> <td>568.30</td> <td>842.50</td> <td>507.90</td> <td>613.20</td> </tr> <tr> <td><strong>25</strong></td> <td>451.80</td> <td>288.20</td> <td>444.10</td> <td>317.20</td> <td>326.40</td> <td>324.20</td> <td>456.40</td> <td>299.80</td> <td>294.80</td> </tr> <tr> <td><strong>26</strong></td> <td>157.40</td> <td>104.90</td> <td>198.70</td> <td>343.70</td> <td>328.60</td> <td>316.30</td> <td>157.40</td> <td>210.90</td> <td>225.10</td> </tr> <tr> <td><strong>27</strong></td> <td>510.00</td> <td>488.90</td> <td>552.30</td> <td>467.70</td> <td>572.20</td> <td>511.20</td> <td>440.10</td> <td>587.80</td> <td>376.60</td> </tr> <tr> <td><strong>28</strong></td> <td>257.20</td> <td>195.70</td> <td>240.90</td> <td>275.90</td> <td>286.00</td> <td>269.70</td> <td>410.00</td> <td>219.40</td> <td>235.40</td> </tr> <tr> <td><strong>29</strong></td> <td>732.00</td> <td>614.40</td> <td>567.20</td> <td>1046.00</td> <td>664.60</td> <td>693.30</td> <td>711.40</td> <td>733.80</td> <td>645.80</td> </tr> <tr> <td><strong>30</strong></td> <td>280.90</td> <td>279.90</td> <td>381.70</td> <td>376.30</td> <td>305.10</td> <td>333.30</td> <td>199.20</td> <td>311.20</td> <td>456.50</td> </tr> <tr> <td><strong>31</strong></td> <td>501.40</td> <td>341.50</td> <td>365.80</td> <td>549.80</td> <td>442.70</td> <td>442.00</td> <td>697.00</td> <td>499.20</td> <td>449.20</td> </tr> <tr> <td><strong>32</strong></td> <td>1039.00</td> <td>1198.00</td> <td>1256.00</td> <td>993.80</td> <td>1129.00</td> <td>1166.00</td> <td>916.50</td> <td>858.70</td> <td>881.30</td> </tr> </tbody> </table>
Figure 2 in Treatment of canine sarcoptic mange with afoxolaner (NexGard ) and afoxolaner plus milbemycin oxime (NexGard Spectra ) chewable tablets: efficacy under field conditions in Portugal and Germany
Figure 2. Dog with sarcoptic mange pre-treatment (first row pictures), and one month (second row pictures) and two months (third row pictures) after initiation of treatment with NexGard Spectra®.
Figure 1 in Treatment of canine sarcoptic mange with afoxolaner (NexGard ) and afoxolaner plus milbemycin oxime (NexGard Spectra ) chewable tablets: efficacy under field conditions in Portugal and Germany
Figure 1. Dog with sarcoptic mange pre-treatment (first row pictures), and one month (second row pictures) and two months (third row pictures) after initiation of treatment with NexGard®.
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia - Datasets
<p>Our research leverages advanced deep learning methods to classify cuneiform tablets by their historical periods, focusing on shape analysis rather than textual content. Utilizing a dataset of over 94,000 images from the Cuneiform Digital Library Initiative, we introduce a novel toolset powered by Variational Auto-Encoders (VAEs) to enhance model interpretability. By highlighting the predictive power of tablet silhouettes for historical period classification with a ResNet model reaching 61\% macro-F1 score,, our approach allows researchers to explore changes in tablet shapes across different eras. This methodology not only complements traditional archaeological methods but also enriches the field of document analysis and diplomatics, offering valuable tools for historians and epigraphists to understand ancient Mesopotamian cultures.</p> <p>The Datasets attached include:</p> <ul> <li>All CDLI IDs used and their URLs on CDLI</li> <li>All tablet silhouettes - Black and white representations</li> <li>A height-to-width ratio table, of the largest component extracted from the silhouettes.</li> <li>VAE encodings per tablet, extracted from the VAE model</li> </ul>
Cuneiform Tablet Handcopies Published in ZA 109, UAVA 15, UAVA 16, and JCS 76
<p>109 vectorized handcopies of Sumerian tablets from the following publications of the author:</p> <ul> <li>3 from Matuszak, J. (2019). Es streite, wer kann! Ein neuer Rekonstruktions- und Interpretationversuch für das sumerische Schulstreitgespräch ‚Dialog 1‘. <em>Zeitschrift für Assyriologie und vorderasiatische Archäologie</em>, <em>109</em>(1), 1-47. <a href="https://doi.org/10.1515/za-2019-0001">https://doi.org/10.1515/za-2019-0001</a></li> <li>14 from Mittermayer, C. (2019). <em>Was sprach der eine zum anderen?: Argumentationsformen in den sumerischen Rangstreitgesprächen</em>. Berlin, Boston: De Gruyter. <a href="https://doi.org/10.1515/9783110634327">https://doi.org/10.1515/9783110634327</a></li> <li>90 from Matuszak, J. (2021). <em>››Und du, du bist eine Frau?!‹‹: Editio princeps und Analyse des sumerischen Streitgesprächs ›Zwei Frauen B‹</em>. Berlin, Boston: De Gruyter. <a href="https://doi.org/10.1515/9783110685381">https://doi.org/10.1515/9783110685381</a></li> <li>2 from Matuszak, J., & Alessawe, H. A. A. (2024). A Sargonic Exercise Tablet Listing “Places of Inanna” and Personal Names. <em>Journal of Cuneiform Studies</em>, <em>76</em>(3), 27–52. <a href="https://doi.org/10.1086/730480">https://doi.org/10.1086/730480</a></li> </ul> <p>The full dataset is compressed in a ZIP file. An example of one of the SVG formated files is also attached seperatly. </p>
Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application - DATASET
<p>Data to support the findings reported in the journal paper</p> <p>Lomurno, E., Dui, L. G., Gatto, M., Bollettino, M., Matteucci, M., & Ferrante, S. (2023). Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application. <em>Life</em>, <em>13</em>(3), 598.</p> <ul> <li>Caratterizzazione_y3b_pulito.xls: <ul> <li>Subject ID</li> <li>Age at the beginning of the study</li> <li>Handedness</li> <li>Sex</li> </ul> </li> <li>Score_BVSCO_pulito.xls: <ul> <li>Subject ID</li> <li>columns B-D: graphemes in the three tests of the BVSCO-2</li> <li>columns E-G: z-score computed on normative data for the three tests of the BVSCO-2</li> <li>median z-score: computed on columns E-G</li> <li>at risk: if median z-score is under the -2 threshold (0=not at risk, 1=at risk)</li> </ul> </li> <li>executions.mat: a matrix for each time point (y1, y2a, y2b, y3a, y3b) and game (copa_q = copy square, copia_seq = copy sequence, tunnel_q = tunnel square, tunnel_ele = tunnel word). <ul> <li>first column of all the cell arrays: subject ID</li> <li>second column for the copy games: three sub-matrices with an execution for each level (spontaneous, big, small)</li> <li>columns 2:N for the tunnel games: an average execution for each index of difficulty</li> <li>for each execution, the columns of the sub-matrices are normalized time, normalized x, normalized y and pressure</li> </ul> </li> </ul> <p> </p> <p>Copy games</p> <ul> <li>A matrix for each game and each time point with a number of rows equal to the number of children and a number of columns equal to 2: <ul> <li>First column: array with school and child code</li> <li>Second column: executions</li> </ul> </li> <li>For the two copy games, the data has a dimension of 3 x 1, where 3 are the modalities (spontaneous, big, small) and 1 is the data matrix.</li> <li>By accessing the data matrix we have four variables, i.e., normalized time, normalized x, normalized y and pressure.</li> </ul> <p> </p> <p>Tunnel games</p> <ul> <li>A matrix for each game and each time point with a number of rows equal to the number of children and a number of columns equal to index of difficulty number +1: <ul> <li>First column: array with school and child code</li> <li>From the second column onwards: executions, each column corresponds to the "typical" execution (the average) of an ID (5 for square tunnel and 8 for ele tunnel). Sub-matrices contain the data matrix with its four variables. i.e., normalized time, normalized x, normalized y and pressure.</li> </ul> </li> </ul>
3D Printing of Personalised Carvedilol Tablets Using Selective Laser Sintering - Underlying Data
<p><strong>Underlying μCT Data for "<em>3D Printing of Personalised Carvedilol Tablets Using Selective Laser Sintering</em>"</strong></p> <p>by <em>Atabak Ghanizadeh Tabriz, Quentin Gonot-Munck, Arnaud Baudoux, Vivek Garg, Richard Farnish, Orestis L. Katsamenis, Ho-Wah Hui, Nathan Boersen, Sandra Roberts, John Jones, and Dennis Douroumis</em></p> <p><em>published in MDPI pharmaceutics<br> In section: Physical Pharmacy and Formulation, Recent Non-oral Dosage Form Development: Focus on 3D-Printed Formulations</em></p> <p><em>The micro- and macro-porosities of representative 3D-printed tablets at 25%, 40%, and 55% laser intensities was measured. SLS-printed components were also characterised by means of X-ray microfocus computed tomography (μCT). Imaging was performed at the University of Southampton’s μ-VIS X-ray Imaging Centre (www.muvis.org) using a customised μCT scanner optimised for 3D X-ray histology (www.xrayhistology.org). The system, which is based on Nikon’s XTH225ST system (Nikon Metrology UK Ltd.)</em></p> <p> </p> <p><strong>Data index</strong></p> <ul> <li>20230206_XRH_3299_OLK_PHAR08603-DOSF_40.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 40% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>20230206_XRH_3299_OLK_PHAR08616-DOSF.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 55% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>20230206_XRH_3299_OLK_PHAR08616-DOSF_25.zip <ul> <li>Dataset (including ORS Dragonfly analysis file) of object printed at 25% laser power<br> 10 µm voxel size isotropic</li> </ul> </li> <li>SLS-3DP_OLK-CorrectRes.xlsx <ul> <li>Analysis results & graphs</li> </ul> </li> </ul> <p><em>X-ray CT analysis conducted using Dragonfly software (v. 2022.1.0.1231; Object Research Systems (ORS) Inc, Montreal, Canada, 2020; software available at http://www.theobjects.com/dragonfly</em></p>
Extended Evaluation of Deferasirox Film-coated Tablet (FCT) Formulation
ClinicalTrials.gov study NCT02720536. IPD Sharing: YES. Countries: 3. Publications: 1.
The Pharmacokinetics, Safety, and Tolerability of Abacavir/Dolutegravir/Lamivudine Dispersible and Immediate Release Tablets in HIV-1-Infected Children Less Than 12 Years of Age
ClinicalTrials.gov study NCT03760458. IPD Sharing: YES. Countries: 4. Publications: 2.
Study Comparing Continuous Subcutaneous Infusion Of ABBV-951 With Oral Carbidopa/Levodopa Tablets For Treatment Of Motor Fluctuations In Adult Participants With Advanced Parkinson's Disease
ClinicalTrials.gov study NCT04380142. IPD Sharing: YES. Countries: 2. Publications: 3.
Rasagiline Tablets Special Drug Use-Results Survey "Survey on Long-term Safety"
ClinicalTrials.gov study NCT03727139. IPD Sharing: YES. Countries: 1. Publications: 1.
Pharmacokinetics, Safety, Tolerability and Efficacy of a New Artemether-lumefantrine Dispersible Tablet in Infants and Neonates <5 kg Body Weight With Acute Uncomplicated Plasmodium Falciparum Malaria
ClinicalTrials.gov study NCT04300309. IPD Sharing: YES. Countries: 2. Publications: 1.
A Database Survey of Comparison The Risk of Haemorrhage Between Vortioxetine Tablet Treatment and Selective Serotonin Reuptake Inhibitor (SSRI) Treatment in Participants With Depression
ClinicalTrials.gov study NCT05932407. IPD Sharing: YES. Countries: 1. Publications: 1.
Low Reproduction Tablet
The Low Tablet is one of a dozen or more examples of carved sandstone tablets fashioned by Native Americans in the Middle Ohio River valley. Most were made about 2100-2400 years ago. While there exact functions are not known, stone tablets have been found in burial contexts within or below Adena Mounds. The original Low Tablet was found in 1943 near Parkersburg, WV by Edward Low, when he was 12. This to-scale reproduction was created by Ted Sunderhaus. Source: Objaverse 1.0 / Sketchfab
Savitaulu, clay tablet KM13631:5
Muinaisbabylonialainen savitaulu. Nuolenpääkirjoitus on kuitti taateleiden toimituksesta. 1900-1600 eaa. Old-Babylonian clay tablet. Receipt of delivery of dates. 1900-1600 BCE. 3D-digitoitu osana Making Home Abroad / Kotona kulttuurissa -tutkimushanketta 2020-2021, käyttäen digitaalista fotogrammetriaa. 3D-digitointia on yksinkertaistettu huomattavasti katselukokemuksen sujuvoittamiseksi. 3D digitized as part of the Making Home Abroad / Kotona kulttuurissa research project 2020-2021, using digital photogrammetry. The 3D digitization is strongly simplified to ensure a smooth online visualization. Source: Objaverse 1.0 / Sketchfab
Savitaulu, clay tablet KM13631:9
Muinaisbabylonialainen savitaulu. Nuolenpääkirjoitus on Ibni-Mardukin ja Ali-Talimin kirje Ibni-Mardukille, Nabuu- {ei käännetty} ...lle ja Karin kaupungin vanhimmille, koskien varastettua rahaa. 1900-1600 eaa. Old-Babylonian clay tablet. Letter from Ibni-Marduk and Ali-Talimi, to Ibni-Marduk, Nabuu- {not translated} ... and the elders of Kari, regarding stolen money. 1900-1600 BCE. Lisätietoja / additional information: https://finna.fi/Record/musketti.M012:KM13631:9 3D-digitoitu osana Making Home Abroad / Kotona kulttuurissa -tutkimushanketta 2020-2021, käyttäen digitaalista fotogrammetriaa. 3D-digitointia on yksinkertaistettu huomattavasti katselukokemuksen sujuvoittamiseksi. 3D digitized as part of the Making Home Abroad / Kotona kulttuurissa research project 2020-2021, using digital photogrammetry. The 3D digitization is strongly simplified to ensure a smooth online visualization. Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.