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175 results for “GRAPHICS”
Datasets used for Automated EffortLess MicroED Graphic User Interface (AutoLEI): Tyrosine (12), MOF SU-100 (16), protein MutT homolog 1 (38) and Lysozyme (71)
<p>The <strong>Auto</strong>mated<strong> </strong>Effort<strong>L</strong>ess<strong> </strong>Micro<strong>E</strong>D<strong> </strong>Graphic User<strong> I</strong>nterface<strong> (AutoLEI)</strong> is designed to automatically process and merge batches of rotation electron diffraction datasets using <strong>XDS[1]</strong>. This GUI aims to streamline data processing and minimize the need for manual data processing.</p> <p>The four datasets below are examples used in the Automated EffortLess MicroED Graphic User Interface (AutoLEI) paper.</p> <p>GUI available: https://zenodo.org/records/15206752 </p> <p> </p> <p><strong>A. Data information</strong></p> <p>Dataset 1: Tyrosine (Small molecule), 12 datasets in total</p> <p>Dataset 2: SU-100 (Small molecule), 16 datasets in total</p> <p>Dataset 3: MutT homolog 1 (Macro molecule), 38 datasets in total</p> <p>Dataset 4: Lysozyme (Macro molecule), 71 datasets in total</p> <p> </p> <p><strong>B. Data collection </strong></p> <p><strong>Tyrosine</strong> data was collected with an ASI Timepix hybrid detector installed on a JEOL JEM-2100 (200 kV) microscope equipped with a LaB6 filament. A Gatan 914 cryo-holder is employed to collect data at cryo temperature.</p> <p>Data collection software: Instamatic.</p> <p>Electron Microscopy Center, the Department of Materials and Environmental Chemistry, Stockholm University.</p> <table> <tbody> <tr> <th>Data</th> <th>#Frame</th> <th>Step (°)</th> <th>Start (°)</th> <th>End (°)</th> <th>Rotation axis.(°)</th> <th>WL (Å)</th> <th>Camera_l (mm)</th> <th>Size1</th> <th>Size2</th> <th>Pixel Size (1/nm)</th> </tr> </tbody> <tbody> <tr> <td>data1</td> <td>415</td> <td>0.233</td> <td>-50.82</td> <td>45.44</td> <td>129.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data2</td> <td>475</td> <td>0.233</td> <td>-57.19</td> <td>53.07</td> <td>129.4</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data3</td> <td>139</td> <td>0.232</td> <td>-51.23</td> <td>-19.17</td> <td>128.6</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data4</td> <td>421</td> <td>0.233</td> <td>-50.67</td> <td>47.01</td> <td>128.9</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data5</td> <td>448</td> <td>0.233</td> <td>-54.51</td> <td>49.43</td> <td>130.1</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data6</td> <td>330</td> <td>0.233</td> <td>-54.97</td> <td>21.54</td> <td>129.1</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data7</td> <td>41</td> <td>0.232</td> <td>-57.39</td> <td>-48.12</td> <td>128.3</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data8</td> <td>459</td> <td>0.233</td> <td>-53.60</td> <td>53.03</td> <td>128.7</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data9</td> <td>430</td> <td>0.233</td> <td>-38.49</td> <td>61.25</td> <td>129.7</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data10</td> <td>509</td> <td>0.233</td> <td>-56.38</td> <td>61.91</td> <td>128.6</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data11</td> <td>353</td> <td>0.223</td> <td>-61.69</td> <td>16.79</td> <td>130.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data12</td> <td>514</td> <td>0.233</td> <td>-52.99</td> <td>66.36</td> <td>129.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> </tbody> </table> <p> </p> <p><strong>SU-100 </strong>data was collected with an ASI Timepix hybrid detector installed on a JEOL JEM-2100 (200 kV) microscope equipped with a LaB6 filament. A Gatan 914 cryo-holder is employed to collect data at cryo temperature.</p> <p>Data collection software: Instamatic.</p> <p>Electron Microscopy Center, the Department of Materials and Environmental Chemistry, Stockholm University.</p> <table> <tbody> <tr> <th>Data</th> <th>#Frame</th> <th>Step (°)</th> <th>Start (°)</th> <th>End (°)</th> <th>Rotation axis.(°)</th> <th>WL (Å)</th> <th>Camera_l (mm)</th> <th>Size1</th> <th>Size2</th> <th>Pixel Size (1/nm)</th> </tr> </tbody> <tbody> <tr> <td>data1</td> <td>248</td> <td>0.233</td> <td>-16.82</td> <td>40.64</td> <td>131.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data2</td> <td>486</td> <td>0.233</td> <td>-55.22</td> <td>57.62</td> <td>129.4</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data3</td> <td>472</td> <td>0.232</td> <td>-51.78</td> <td>57.67</td> <td>129.3</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data4</td> <td>399</td> <td>0.232</td> <td>-56.68</td> <td>35.79</td> <td>129.8</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data5</td> <td>319</td> <td>0.233</td> <td>-15.51</td> <td>58.42</td> <td>126.1</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data6</td> <td>302</td> <td>0.233</td> <td>-50.47</td> <td>19.52</td> <td>128.6</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data7</td> <td>87</td> <td>0.233</td> <td>-50.01</td> <td>-29.93</td> <td>130.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data8</td> <td>349</td> <td>0.232</td> <td>-57.04</td> <td>23.81</td> <td>130.5</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data9</td> <td>475</td> <td>0.233</td> <td>-48.75</td> <td>61.56</td> <td>128.8</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data10</td> <td>422</td> <td>0.233</td> <td>-48.35</td> <td>49.53</td> <td>128.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data11</td> <td>415</td> <td>0.233</td> <td>-57.64</td> <td>38.62</td> <td>129.0</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data12</td> <td>351</td> <td>0.232</td> <td>-54.26</td> <td>26.95</td> <td>128.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data13</td> <td>466</td> <td>0.233</td> <td>-53.95</td> <td>54.18</td> <td>130.2</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data14</td> <td>450</td> <td>0.233</td> <td>-51.83</td> <td>52.56</td> <td>129.0</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data15</td> <td>443</td> <td>0.233</td> <td>-49.31</td> <td>53.57</td> <td>129.0</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> <tr> <td>data16</td> <td>374</td> <td>0.233</td> <td>-39.30</td> <td>47.46</td> <td>129.3</td> <td>0.0251</td> <td>439.48</td> <td>516</td> <td>516</td> <td>49.860</td> </tr> </tbody> </table> <p> </p> <p><strong>MutT homolog 1</strong> data was collected with a CMOS CetaD detector installed on a Titan Krios G3i with an autoloader. </p> <p>Data collection software: EPUD</p> <p>Cryo-EM infrastructure unit, Scilifelab, Stockholm.</p> <table> <tbody> <tr> <th>Rotation axis.(°)</th> <th>WL (Å)</th> <th>Camera_l (mm)</th> <th>Size1</th> <th>Size2</th> <th>Pixel Size (1/nm)</th> </tr> </tbody> <tbody> <tr> <td>-6.0</td> <td>0.019687</td> <td>2487.83</td> <td>2048</td> <td>2048</td> <td>5.717</td> </tr> </tbody> </table> <p> </p> <p><strong>Lysozyme</strong> data was collected with a CMOS CetaD detector installed on a Titan Krios G2 with an autoloader. </p> <p>Data collection software: EPUD</p> <p>Cryo-EM infrastructure unit, Scilifelab, Stockholm.</p> <table> <tbody> <tr> <th>Rotation axis.(°)</th> <th>WL (Å)</th> <th>Camera_l (mm)</th> <th>Size1</th> <th>Size2</th> <th>Pixel Size (1/nm)</th> </tr> <tr> <td>-174.4</td> <td>0.01968</td> <td>1155.0</td> <td>2048</td> <td>2048</td> <td>12.318</td> </tr> </tbody> </table> <p><strong>C. Reference</strong></p> <p>[1] Kabsch. W. “XDS”, <em>ACTA CRYSTALLOGRAPHICA SECTION D</em>, 2010</p>
Graphical representation of the signals captured by a triaxial and a uniaxial actigraph
<p>This graphical representation is a vector adaptation of Figure 4 present in the Athavale & Krishnan article. If you use it, don't forget to cite the authors below (you don't need to cite me).</p> <p>Athavale, Y., & Krishnan, S. (2018). A device-independent efficient actigraphy signal-encoding system for applications in monitoring daily human activities and health. <em>Sensors</em>, <em>18</em>(9), 2966. <a href="https://doi.org/10.3390/s18092966">https://doi.org/10.3390/s18092966</a></p>
Data Associated with Manuscript Titled "Development of a graphical resilience framework to understand a coupled human-natural system in a remote arid highland of Baja California Sur"
<p>This is a dataset in support of analyses of water chemistry and social networks described and interpreted in the associated manuscript titled "Development of a graphical resilience framework to understand a coupled human-natural system in a remote arid highland of Baja California Sur"</p>
NOAA Coastwatch Satellite Course (Set up an Application Model of Digital Satellite Data Simulation by Video Graphic Technology of Oceanic data Remotely Sensed of algerian coast)
<p>The goal of the course is to familiarize NOAA/university researchers, Sea Grant professionals and agency/org. partners with different types of ocean satellite data, different tools, and teach participants how to use satellite data in their own research/outreach using their choice of software (NOAA ,2023)</p>
On the Understandability of Graphical and Textual Pattern-Based Behavioral Constraint Representations
<p>Experimental material & data</p>
Graphics statistical analysis questionnaire
<p>Graphics from statistical analysis of the questionnaire and interviews on piltos</p>
FIGURE 9 in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 9. Confidence in a relation is represented as a symbol imposed on the box indicating the name considered valid. A) illustrates a questionable synonymy for Cerianthus vermicularis (E. Forbes), and B) illustrates a questionable synonymy for Cerianthus lloydii Gosse, 1859. Both relations should be read: Gosse (1860) indicated the possible synonymy of Cerianthus vermicularis (Forbes in Johnston, 1847) with Cerianthus lloydii Gosse, 1859. In B, the name Cerianthus vermicularis (E. Forbes) Gosse, 1860, is imposed on white; this name is not part of the synonymy of C. lloydii, but is listed in Syngraph because the name C. lloydii has questionably been applied to C. vermicularis. Note that the line for Cerianthus vermicularis (E. Forbes) Gosse, 1860, contains two question marks that should not be confounded: that after the name vermicularis was introduced by the authority in the cited publication to signify the authority's uncertainty about the name, whereas that on the box of the lead line is the convention in Syngraph for such uncertainty (which is not as obvious in some citations as it is in this one).
FIGURE 8 in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 8. Pro parte is represented as a three-branch relation using a dashed red line to the right of the names. The middle name is the one the authority considered was erroneously applied to some specimens. It is linked above to the name considered by the authority to be the senior synonym, and below (indicated by a red box) to the name considered valid, followed, at the end of the line, by the name of the authority and the bibliographic citation to the source of the information. The relation shown here should be read: Carlgren (1928) found that some of the specimens described by Pax (1922) as Rhytidactis antarctica are, in fact, Halianthella kerguelensis (Stud).
FIGURE 5. A in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 5. A homonymy is represented as a two-branch relation using a dashed black line to the left of the names. The name the authority considered homonymous (on black) is linked to the name the authority considered valid; the original description of that species is indicated by a rectangle of same color outlined in black. The status of the homonymous name is indicated on the green line to its right. The relation shown here should be read: The status of Actinia aurora of Gosse, 1854, as a junior homonym of Actinia aurora of Quoy and Gaimard, 1833, was recognized by Dunn (1981), who used the name Heteractis aurora (Quoy & Gaimard, 1833) for the latter.
FIGURE 7. Misidentification and non relations. A in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 7. Misidentification and non relations. A misidentification is represented as a three-branch solid gray line to the right of the names. The name that was misapplied (imposed on light grey) is linked to the first mention of the name the authority considered valid and to the name used by the authority, which is indicated by a gray box, and which is followed, at the end of the line, by the name of the authority and the bibliographic citation to the source of the information. The relation shown here should be read: Carlgren (1938) found that Bolocera longicornis Carlgren, of Stephenson (1918) is Bolocera capensis Carlgren, 1928. The two-branch relation in red to the right of the names illustrates the use of non. The name the authority considered non (imposed on black) is linked to the name considered valid by the authority, indicated by a red box, and which is followed, at the end of the line, by the name of the authority and the bibliographic citation to the source of the information. The relation shown here should be read: Dunn (1983) considered Bolocera longicornis Carlgren, 1891, not to be a synonym of Bolocera kerguelensis Studer, 1879.
FIGURE 6. A in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 6. A determination is represented as a three-branch relation using a solid gray line to the left of the names. The name initially used for the specimen(s) is linked to the first mention of the name and the name the authority considered valid, indicated by a gray box, which is followed, at the end of the line, by the name of the authority and the bibliographic citation to the source of the information. The relation shown here should be read: Dunn (1981) determined that Condylactis sp. of Saville-Kent (1897) is Heteractis aurora (Quoy & Gaimard, 1833).
FIGURE 4. A in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 4. A synonymy is represented as a three-branch relation using a solid black line to the left of the names. The two names the authority considered related are linked to the name the authority considered valid, indicated by a black box, which is followed, at the end of the line, by the name of the authority and the bibliographic citation to the source of the information. The relation shown here should be read: Carlgren (1928) considered Dimyactis duplicata Pax, 1922, to be a junior synonym of Edwardsia kerguelensis Studer, 1879, under the new combination Halianthella kerguelensis (Stud.).
FIGURE 2 in Syngraph: An application for graphic display and interactive use of synonym lists
FIGURE 2. The Syngraph display is composed of five blocks: A synonym relations; B list of names; C problems; D adjectives; E authorship and reference information. Each name in B is rendered precisely as given in the reference at the right end of the line in E; the verbatim author (the left-hand portion of E) is stored as part of the reference.
Nicosia, Bedestan. Graphic model of the building from the south east.
<p>Nicosia, Bedestan. Graphic model of the building from the south east.</p>
Graphical integrity issues in open access publications: detection and patterns of proportional ink violations
<p>Here are all the bar charts we annotated manually and used to train the graphical integrity detector. For more detail about our method, please visit our GitHub repository. (https://github.com/sciosci/Graphical_Integrity_Issues)</p>
Graphical abstract
<p>Graphical abstract</p>
Object detection for graphical user interface: old fashioned or deep learning or a combination? - Model&Datasets
<p>This repo contains the datasets, trained models, and data splitting in ESEC/FSE 2020 "Object detection for graphical user interface: old fashioned or deep learning or a combination?" paper.</p>
Communicating Smoking Risks Through Graphic Warning Labels
ClinicalTrials.gov study NCT01782053. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Graphic Cigarette Warnings
ClinicalTrials.gov study NCT02247908. IPD Sharing: NO. Countries: 1. Publications: 4.
Calculated and Graphically Produced Depth of Anesthesia
ClinicalTrials.gov study NCT03807271. IPD Sharing: NO. Countries: 1. Publications: 1.
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.