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2,444 results for “coloration”
Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils
<p>Supplemental Files for Biogeosciences article:<br>Sorption of Colored vs Noncolored Organic Matter by Tidal Marsh Soils<br>Patrick J Neale, J Patrick Megonigal, Maria Tzortziou, Elizabeth A Canuel, Christina R. Pondell, Hannah K. Morrissette</p> <p>Contents:</p> <p>Plots of measured DOC in incubation solutions vs absorption coefficient at 355 nm (a355), showing linear regression line and equation. Equation slope is the inverse of the specific absorbance of colored dissolved organic carbon (CDOC) and intercept is the background level of non-colored dissolved organic carbon (NCDOC). See table 1 of Neale et al. (2023) for listing of all slopes, intercepts and r2.</p> <p>Labels - KM - Kirkpatrick Marsh (GCREW)<br> JugBay - Jug Bay<br> Task - Taskinas Marsh<br> Wach - Wachapreague Marsh</p> <p>00, 10, 20, 35 - incubation salinities</p> <p>Pre - Pre-incubation - measurements on standard solutions at the start of the incubations<br>Post - Post-incubation - measurements on filtrate after the incubation</p> <p>V2 - Plots for Pre were updated. v1 plots were incorrect for Pre</p>
Identifying the proximal cue(s) for pupal color variation in the bordered patch butterfly, Chlosyne lacinia (Geyer 1837; Lepidoptera: Nymphalidae)
<p>Color is a multifaceted trait with many functions such as predator defense, thermoregulation, and immune response. We investigated pupal color variation in <em>Chlosyne lacinia</em> pupae, focusing on identifying the cue for increased melanization. Through laboratory experiments, we demonstrated pupae reared on black backgrounds exhibited significantly higher melanization compared to those on white backgrounds. Additionally, black pupae experienced longer developmental periods, suggesting a trade-off between defense and developmental time. Our findings support crypsis as a likely evolutionary driver for increased melanization in response to substrate color. We discuss potential implications for predator avoidance, immune response, and developmental costs associated with melanization. This study provides insights into the adaptive significance of pupal melanization in response to environmental cues, shedding light on the complex interplay between life history traits in butterflies.</p>
FIGURE 3 in A new species of Cyphocharax (Characiformes: Curimatidae) with a horizontal color pattern from the rio Tapajós drainage, Amazon basin, Brazil
FIGURE 3 | A. Cyphocharax pantostictos, ZUEC 17137, 48.8 mm SL, Peru, Loreto, río Itaya basin; B. Cyphocharax multilineatus, MCP 54223, 116.3 mm SL, Brazil, Pará, Santarém, rio Mentaí.
FIGURE 2 in A new species of Cyphocharax (Characiformes: Curimatidae) with a horizontal color pattern from the rio Tapajós drainage, Amazon basin, Brazil
FIGURE 2 | Map of the lower Tapajós basin and its confluence with rio Amazonas showing the distribution of Cyphocharax cramptoni. The red dot indicates the type locality.
FIGURE 1 in A new species of Cyphocharax (Characiformes: Curimatidae) with a horizontal color pattern from the rio Tapajós drainage, Amazon basin, Brazil
FIGURE 1 | Cyphocharax cramptoni; A. holotype, ZUE C 17124, 49.7 mm SL, Brazil, Pará, Santarém, rio Mentaí; B. Living specimen, ZUEC 12071, 30.2 mm SL, same data as holotype.
Automatic message sequence chart creation from simulation run of the parametric colored Petri net model of the Chandy-Lamport algorithm with four processes
<p><span>The video shows the creation of the message sequence chart from a simulation run of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm using the CPN tool with four constituting processes. The picture shows the resulting message sequence chart. </span></p> <p><strong><span>Message Sequence Chart of Parametric Model With 4 Processes via Automatic Simulation Run_SuppInfo.mp4</span></strong><span>: This video shows the automatic generation of a message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport distributed global snapshot algorithm using the CPN tool version 4.0.0. The model's number of constituting processes is parametric and was set to four. The video was generated using the authors' updated CPN tool extension server. The automatic simulation run of the model has been used to create this video. The CPN tool randomly selects the enabled transition at each step in an automatic simulation run.</span></p> <p><strong><span>Picture of Message Sequence Chart of Parametric Model With 4 Processes_SuppInfo.png:</span></strong><span> This picture shows the automatically generated message sequence chart of the proposed parametric colored Petri net model of the Chandy-Lamport algorithm that is visible in the above video clip. The number of constituting processes was set to four. </span></p>
Dataset of the manuscript: Predictive design of plasmonic color
<p>This data publication is based on the metadata and datasets underlying the manuscripts "Predictive design of plasmonic color"</p> <p>Folder "Figure 1" contains:</p> <ul> <li>Simulated Extinction spectra of 120 nm silica particle coated with 20 nm gold shell</li> <li>Simulated Transmission spectra of 120 nm silica particle coated with 20 nm gold shell scaled for different concentrations + Lab and RGB color coordinates</li> <li>3D plots of accessible color gamut for Ag, Au, SiO2@Au and SiO2@Ag nanoparticles</li> </ul> <p>Figure "Figure 2" contains:</p> <ul> <li>Simulated colors of targeted for varying concentrations</li> <li>Color-map for color of the year 2022</li> <li>Color coordinates (Lab and RGB) of structure in spot 1 and spot 4 scaled for different concentrations</li> </ul> <p>Figure "Figure 3" contains:</p> <ul> <li>Photographs of realized particle dispersion (spot1: 0@52, spot2: 113@46, spot3: 137@24, spot 4: 398@37) at high and low concentrations, approx. concentrations in number of particles per ml</li> <li>TEM images of realized particles (for core-shell particle: after seeding (x@NP) and after shell growth)</li> <li>UV-Vis:</li> <ul> <li>Measured absorbance spectra and scaled transmission spectra of realized particles spot</li> <li>Color coordinates of simulated, experimentally determined and target color</li> </ul> </ul> <p>Figure "Figure 4" contains:</p> <ul> <li>Photographs of realized particle dispersion (CRC1411yellow: Ag0@3-24, CRC1411red: Au0@13, CRC1411blue: Au113@35), approx. concentrations in number of particles per ml</li> <li>TEM images of realized particles (for core-shell particle: after seeding (x@NP) and after shell growth)</li> <li>UV-Vis:</li> <ul> <li>Measured absorbance spectra and scaled transmission spectra of realized particles</li> <li>Color coordinates of simulated, experimentally determined and target color</li> </ul> <li>color maps for CRC1411 target colors</li> </ul> <p> </p>
Multi-milliwatt average power two-color air-plasma terahertz source at 100 kHz repetition rate
<p>These data sets are associated with the aforementioned paper and can be used to reproduce the figures of our article. An example for reading and plotting of the data sets is provided as a <em>jupyter notebook</em>.</p>
Replication Data for Coloring Tetrahedral Semiconductors: Synthesis and Photoluminescence Enhancement of Ternary II-III2‑VI4 Colloidal Nanocrystals
<p>Ternary tetrahedral II-III2-VI4 semiconductors, where II is Zn or Cd, III In or Ga, and VI S, Se, or Te, are of interest in UV radiation detectors in medicine and space physics as well as CO2 photoreduction under visible light. We synthesize colloidal II-III2-VI4 semiconductor nanocrystals from readily available precursors and<br>ascertain their ternary nature by structural and spectroscopic methods, including 77Se solid-state NMR spectroscopy. The pyramidally shaped nanocrystals range between 2 and 12 nm and exhibit optical gaps of 2−3.9 eV. In the presence of excess anions on the particle surface, treatment with Lewis acidic, Z-type ligands results in better passivation and enhanced photoluminescence. Electronic structure calculations reveal<br>the most stable, lowest energy polymorphs and coloring patterns. This work will pave the way toward more environmentally friendly, ternary semiconductors for optoelectronics and electrocatalysis.</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>
Intra-cluster summed galaxy colors
<p>Inter-cluster summed galaxy colors and other cluster properties for TNG300-1, SDSS NYU VAGC, and Buzzard Flock low redshift galaxies. </p> <p> </p> <pre>'Hmass': log10(Cluster mass/M_sun) TNG: M_200c, BZZ: M_vir, SDSS: M_vir 'N_gal': Number of galaxies in Cluster 'Z': Redshift 'rich_cts','rich_dsc': Richness, continuous and discrete 'mag_gap': Magnitude gap 'g_cen','r_cen','i_cen','z_cen': Magnitudes for central galaxies 'sum_g','sum_r','sum_i','sum_z': Summed Magntiudes for total cluster population 'sum_g_sat', 'sum_r_sat', 'sum_i_sat', 'sum_z_sat': Summed Magntiudes for sattelite cluster population </pre>
Reference data and analysis software for "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane"
<p>Reference data set for the single molecule co-tracking analysis presented in "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane". Corresponding author for further inquiries:</p> <p>Prof. Dr. Jacob Piehler</p> <p>University of Osnabrück, Department of Biology/Chemistry, Division of Biophysics, Barbarastr. 11, 49076 Osnabrück, Germany</p> <p>https://www.biophysik.uni-osnabrueck.de/</p>
[Data set]for publication Acidification of Strawberry Puree Affects Color and Volatile Characteristics during Storage
<p>Color degradation of strawberry-based products negatively affects consumer acceptance of these products. To improve the color stability of strawberry puree during storage, an acidification step (pH 1.5 and 2.5) prior to pasteurization was performed and quality changes of strawberry puree during storage (35 °C, 40 days) were monitored. Acidification prior to pasteurization resulted in an improved color and anthocyanin stability. However, the volatile fraction of strawberry puree was negatively influenced by acidification of the puree. Low acidic conditions (pH 1.5) resulted in the hydrolysis of esters, oxidation of terpene oxides, and acid-catalyzed reactions of terpene alcohols during storage. The volatile fraction of strawberry puree stored at pH 2.5 and 3.5 (the latter being the original strawberry puree) were more similar. Furthermore, after 4 days of storage, the pH of the acidified purees was brought back to the natural pH of the system (3.5) and subsequently thermally treated and stored. During this second storage, color showed a slightly faster degradation rate in those purees that were previously acidified, whereas anthocyanins exhibited similar trends suggesting that the advantage of acidification to preserve color would be beneficial after thermal processing, but more limited during storage of the regenerated product (second storage).</p>
Fig. 4 in Distributional Range Extension and Live Coloration of the Indo-Pacific Deepwater Cardinalfish Ostorhinchus cheni (Perciformes: Apogonidae)
Fig. 4. Distributional records of Ostorhinchus cheni. ★ based on specimens examined in the present study; ▲ based on underwater photograph; ● literature records.
Fig. 1 in Distributional Range Extension and Live Coloration of the Indo-Pacific Deepwater Cardinalfish Ostorhinchus cheni (Perciformes: Apogonidae)
Fig. 1. Fresh specimen of Ostorhinchus cheni. KAUM–I. 69457, 115.4 mm SL, off Miagao, Panay Island, Philippines.
Fig. 3 in Distributional Range Extension and Live Coloration of the Indo-Pacific Deepwater Cardinalfish Ostorhinchus cheni (Perciformes: Apogonidae)
Fig. 3. Underwater photograph of Ostorhinchus cheni. Tulamben, Bali, Indonesia, 70–80 m, 18 June 2016 (Photo by T. Shiraishi).
Fig. 2 in Records of Spottobrotula mahodadi (Ophidiiformes: Ophidiidae) and Hapalogenys bengalensis (Perciformes: Hapalogenyidae) from the Andaman Sea, with a Note on the Fresh Coloration of S. mahodadi
Fig. 2. Map showing previously known records of Spottobrotula mahodadi (square) and Hapalogenys bengalensis (circle); and location of Bang Rin, Ranong Province, Thailand where the present specimens of the two species were obtained without precise collection locality details (see Remarks for S. mahodadi) (star). Note: one specimen of S. mahodadi was obtained at a fish market in Mahachai, near Bangkok without precise locality details, but it was considered to be from the Andaman Sea.
Fig. 1 in Records of Spottobrotula mahodadi (Ophidiiformes: Ophidiidae) and Hapalogenys bengalensis (Perciformes: Hapalogenyidae) from the Andaman Sea, with a Note on the Fresh Coloration of S. mahodadi
Fig. 1. Fresh specimens of Spottobrotula mahodadi from the Andaman Sea. A, THNHM-F 13331, 267.6 mm SL; and B, KAUM–I. 33155, 308.6 mm SL.
Fig. 6 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration
Fig. 6. Relationships of (A) body depth at anal-fin origin, (B) second pectoral-fin ray length, (C) longest pelvic-fin soft ray length, and (D) upper jaw length (as % of standard length), and (E) length of skin flap on supraocular and (F) length of skin flap on posterior lacrimal spine tip [as % of orbit diameter (OD)] to standard length in Pterois brevipectoralis.
Fig. 7 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration
Fig. 7. Relationship of position of longest pectoral-fin ray tip to standard length (mm) in Pterois brevipectoralis. A, D, and C represent the anal-fin base end, the dorsal-fin base end, and the caudalfin base, respectively; =,>,
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.