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297 results for “Thor”
THOR - people tracks
<p><strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies.</p> <p>The dataset includes 13 separate recordings in 3 variations:</p> <ul> <li>``One obstacle" - features one obstacle in the environment and no robot</li> <li>``Moving robot" - features one obstacle in the environment and the moving robot</li> <li>``Three obstacles" - features three obstacles in the environment and no robot</li> </ul> <p><strong>THOR - people tracks </strong>is the part of THÖR data set containing ground truth position of people in the environment, including information about head orientation. The data are available in three formats:</p> <ol> <li>mat - Matlab binary file</li> <li>TSV - text file</li> <li>bag - ROS bag file</li> </ol> <p><strong>MAT files</strong></p> <ul> <li><strong>File </strong>- [char] Path to original QTM file</li> <li><strong>Timestamp </strong>- [string] Date and time of the startof the data collection</li> <li><strong>Start Fram </strong>- [char] 1</li> <li><strong>Frames </strong>- [double] Number of frames in the file</li> <li><strong>FrameRate</strong> - [double] Number of frames per second</li> <li><strong>Events</strong> - [struct] 0</li> <li><strong>Trajectories </strong>- [struct] 3D postion of observed reflective markers <ul> <li><strong>Labeled </strong>- [struct] Markers belonging to the tracked agents: <ul> <li><strong>Count </strong>- [double] Number of tracked markers</li> <li><strong>Labels </strong>- [cell] List of marker labels</li> <li><strong>Data </strong>- [double] Array of dimension {Count}x4x{Frames}, contains the 3D position of each marker and residue</li> </ul> </li> </ul> </li> <li><strong>RigidBodies </strong>- [struct] 6D pose of the helmet, corresponds to head poistion and orientation: <ul> <li><strong>Bodies </strong>- [double] Number of tracked bodies</li> <li><strong>Name </strong>- [cell] Bodies Names</li> <li><strong>Positions </strong>- [double] Array of dimension {Bodies}x3x{Frames} contains the position of the centre of the mass of the markers defining the rigid body</li> <li><strong>Rotations </strong>- [double] Array of dimension {Bodies}x9x{Frames} contains rotation matrix describing the orientation of the rigid body</li> <li><strong>RPYs </strong>- [double] Array of dimension {Bodies}x3x{Frames} contains orientation of the rigid body described as RPY angles</li> <li><strong>Residual </strong>- [double] Array of dimension {Bodies}x1x{Frames} contains residual for each rigid body</li> </ul> </li> </ul> <p><strong>TSV files</strong></p> <ol> <li><strong>3D data</strong> <ol> <li><strong>File Header</strong> <ul> <li>NO_OF_FRAMES - number of frames in the file </li> <li>NO_OF_CAMERAS - number of cameras tracking makers</li> <li>NO_OF_MARKERS - number of tracked markers</li> <li>FREQUENCY - tracking frequency [Hz] </li> <li>NO_OF_ANALOG - number of analog inputs </li> <li>ANALOG_FREQUENCY - frequency of analog input </li> <li>DESCRIPTION - --</li> <li>TIME_STAMP - the beginning of the data recording</li> <li>DATA_INCLUDED - the type of data included</li> <li>MARKER_NAMES - names of tracked makers</li> </ul> </li> <li><strong>Column names</strong> <ul> <li>Frame - frame ID</li> <li>Time - frame timestamp</li> <li>[marker name] [C] - coordinate of a [marker name] along [C] axis</li> </ul> </li> </ol> </li> <li><strong>6D data</strong> <ol> <li><strong>File Header</strong> <ul> <li>NO_OF_FRAMES - number of frames in the file </li> <li>NO_OF_CAMERAS - number of cameras tracking makers</li> <li>NO_OF_MARKERS - number of tracked markers</li> <li>FREQUENCY - tracking frequency [Hz] </li> <li>NO_OF_ANALOG - number of analog inputs </li> <li>ANALOG_FREQUENCY - frequency of analog input </li> <li>DESCRIPTION - --</li> <li>TIME_STAMP - the beginning of the data recording</li> <li>DATA_INCLUDED - the type of data included</li> <li>BODY_NAMES - names of tracked rigid bodies</li> </ul> </li> <li><strong>Colum Names</strong> <ul> <li>Frame - frame ID</li> <li>Time - frame timestamp</li> <li>The columns are grouped according to the rigid body. Each group starts with the name of the rigid body and then is followed by the position of the centre of the mas and the orientation expressed as RPY angles and rotation matrix</li> </ul> </li> </ol> </li> </ol> <p><strong>Reference:</strong></p> <p>For more details check project website <a href="http://thor.oru.se">thor.oru.se</a> or check our publications:</p> <pre><code>@article{thorDataset2019, title={TH\"OR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset}, author={Andrey Rudenko and Tomasz P. Kucner and Chittaranjan S. Swaminathan and Ravi T. Chadalavada and Kai O. Arras and Achim J. Lilienthal}, journal={arXiv preprint arXiv:1909.04403}, year={2019} }</code></pre> <p> </p>
THOR - point clouds
<p><strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies.</p> <p>The dataset includes 9 separate recordings in 3 variations:</p> <ul> <li>``One obstacle" - features one obstacle in the environment and no robot</li> <li>``Moving robot" - features one obstacle in the environment and the moving robot</li> <li>``Three obstacles" - features three obstacles in the environment and no robot</li> </ul> <p><strong>THOR - point clouds </strong>is the part of THÖR data set containing bag files with 3D scans collcted during the experiments.</p> <p><strong>Reference:</strong></p> <p>For more details check project website <a href="http://thor.oru.se">thor.oru.se</a> or check our publications:</p> <pre><code>@article{thorDataset2019, title={TH\"OR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset}, author={Andrey Rudenko and Tomasz P. Kucner and Chittaranjan S. Swaminathan and Ravi T. Chadalavada and Kai O. Arras and Achim J. Lilienthal}, journal={arXiv preprint arXiv:1909.04403}, year={2019} }</code></pre>
THOR RNA-sequencing results
<p>Summarized results of RNA-sequencing performed within THOR (targeting smooth muscle cells in atherosclerosis). THOR is a collaborative project of Aarhus University and Novo Nordisk A/S as a part of the Open Discovery Innovation Network (ODIN) initiative.</p> <p>See detailed data description in the file "DESCRIPTION.md".</p>
THOR - the rock strength database
<blockquote> <p><em>Thor </em>is an extensive and (nearly) exhaustive rock strength compilation based on publications from 1980 - 2024 (<a href="https://www.scopus.com/results/results.uri?sort=plf-f&src=s&st1=Schmidt+hammer&sid=434f0cbd07555c3c2ad338640bcd4488&sot=b&sdt=cl&sl=29&s=TITLE-ABS-KEY%28Schmidt+hammer%29&origin=resultslist&editSaveSearch=&sessionSearchId=434f0cbd07555c3c2ad338640bcd4488&limit=10&cluster=scosubjabbr%2C%22ENGI%22%2Ct%2C%22EART%22%2Ct%2C%22MATE%22%2Ct%2C%22ENVI%22%2Ct%2Bscosubtype%2C%22ar%22%2Ct" target="_blank" rel="noopener">Scopus</a>). Data reported in <em>Thor</em> includes:</p> </blockquote> <ul> <li><strong>Search tool </strong>(<a href="https://zenodo.org/records/15465793/files/Search%20tool.xlsx?download=1">download here</a>) -<strong> </strong>enables users to select specific lithologies and generate summary statistics. This tool also calculates watershed erodibility by accounting for lithologies and their respective proportions in a watershed.</li> <li><strong>R<sub>N</sub></strong> - rebound values (all converted to Schmidt Hammer model N), grouped by lithology.</li> <li><strong>σ<sub>UCS </sub></strong> - uniaxial compressive strength (σ<sub>UCS</sub>), grouped by lithology.</li> <li><strong><em>L<sub>E</sub></em></strong><strong> </strong>- lithologic erodibility index (L<sub>E</sub>), grouped by lithology.</li> <li>Authors list - a list of all publications/references used in this compilation.</li> </ul> <blockquote> <p><strong>Contributions Welcome! </strong></p> <p>Researchers are encouraged to contribute data to expand the database. Please send your data submissions to: <strong>mbhaag@mit.edu </strong>(<a href="https://www.researchgate.net/profile/Mauricio-Haag" target="_blank" rel="noopener">ResearchGate</a>)</p> </blockquote> <p>Please cite as: Haag, M.B., Schoenbohm, L.M., 2025. <em>Thor</em>: a rock strength database for investigating lithologic controls in landscape evolution. <em>Earth and Planetary Science Letters</em> 660, 119364. <a href="https://doi.org/10.1016/j.epsl.2025.119364" target="_blank" rel="noopener">https://doi.org/10.1016/j.epsl.2025.119364</a></p> <p><strong>New Feature</strong>: Map featuring all sampling locations, detailed site information, and direct links to the original studies: <a href="https://www.google.com/maps/d/edit?mid=1XBvZ8Ns2J-Vqc1vtrBtKYGKIJp-NvyI&usp=sharing" target="_blank" rel="noopener">map link</a>.</p>
Fig. 9 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 9. Lebertia (Pilolebertia) gibbosa Lundblad, 1926, holotype, ♂ (NHRS). A. Venter. B. Palp. C. I-L. D. II-L. E. III-L. F. IV-L. Scale bars = 100 µm.
Fig. 3. GenusLebertia Neuman, 1888 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 3. GenusLebertia Neuman, 1888, positions and shorthand labelling for morphological measurements. A. Example of segment length and height measurements for legs and palps. B. Measurements across the coxal shield. C. The dimensions of the claw; the centre of curvature (c) was defined to be the point opposite of the smaller claw. D. Distances among the long setae on the third segment of the palp. Abbreviations: Ac = acetabula; Cx = Coxa; Gn = gnathosomal bay; L = length; mL = median length; W = height; II-L = second leg. Roman numerals refer to the order of legs starting anteriorly, Arabic numerals refer to segment number starting proximally, for Ac starting anteriorly.
Fig. 1 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 1. Lebertia (Pilolebertia) porosa Thor, 1900 s. lat. A. Dorsal view. B. Ventral view showing acetabula. Photo: Reinhard Gerecke.
Fig. 2 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 2. Neighbor Joining tree based on COI barcodes of Norwegian specimens in the Lebertia porosa aggr. using the Kimura 2-Parameter substitution model. Bootstrap support (1000 replicates) above 70% is shown on branches.
Fig. 6 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 6. Lebertia (Pilolebertia) spp. Examples of observed differences in setation. A–B. High number of setae on segment five of legs three and four (III-L-5, IV-L-5) present in Lebertia aggr. spp. B and D. C. Gap in swimming setae on the fifth segment of the second leg (II-L-5) in Lebertia aggr. spp. A and B, and L. obscura Thor, 1900. D. Segment three of palp (P-3) with a double proximal long seta sometimes present in Lebertia aggr. spp. D. E–F. Segment five of the second leg (II-L-5), close-up: comparison of swimming setae with and without the large gap respectively.
Fig. 8 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 8. Lebertia (Pilolebertia) obscura Thor, 1900, ♂ from the type locality. A. Coxal field. B. Palp. C. I-L. D. II-L. E. III-L. F. IV-L. Scale bars = 100 µm.
Fig. 7 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 7. Lebertia (Pilolebertia) porosa Thor, 1900, ♂ from the type locality. A. Venter. B. Palp. C. I-L. D. II-L. E. III-L. F. IV-L. Scale bars = 100 µm.
Fig. 5 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 5. Lebertia (Pilolebertia) spp. from Norway. TCS haplotype network of COI sequences constructed with PopART.
Fig. 4 in Disentangling the identity of Lebertia porosa Thor, 1900 using integrative taxonomy (Acari: Hydrachnidia)
Fig. 4. Lebertia (Pilolebertia) spp. in Norway. Maximum Likelihood tree from analysis of the concatenated dataset (COI, 18S, 28S) in RAxML-NG. Bootstrap support (500 replicates) above 50% on branches.
Figure 2 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 2 Limnesia (Limnesia) elongata sp. nov., holotype female. A – dorsum; B – venter; C – palp; D – IV – leg-4-6. Scale bars: A-B = 100
Figure 3 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 3 Limnesia (Limnesia) gledhilli sp. nov., A-D – holotype male, E – paratype female. A – dorsum; B – venter; C – palp; D – IV-leg-5-6; E – venter. Scale bars: A-B, E = 200 µm, C-D =50 µm.
Figure 10 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 10 Tubophorella queenslandica sp. nov., A-E – holotype male, F – paratype female. A – dorsum; B – venter; C – palp; D – cheliceral claw; E – IV-leg-6; F – venter. Scale bars: A-B, F = 100 µm; C-E = 50 µm.
Figure 9 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 9 Tubophorella paluma sp. nov., A-D – holotype male, E-F – paratype female. A – dorsum; B – venter; C = P2-P5; D – IV-leg-6; E – venter; F – IV-leg-6. Scale bars: A-B, E = 100 µm, C-D, F = 50 µm.
Figure 8 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 8 Limnesia (Limnesia) victoria sp. nov., A-D holotype male, E paratype female. A – dorsum; B – venter; C – palp; D – IV-leg-5-6; E – venter. Scale bars: A-B, E = 200 µm, C-D = 50 µm.
Figure 6 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 6 Limnesia (Limnesia) rubra Smit, male. A – dorsum; B – venter; C – palp; D – III-leg-5-6; E – IV-leg-5-6. Scale bars: A-B = 100 µm, C-E = 50 µm.
Figure 5 in New records of water mites of the family Limnesiidae Thor from Australia (Acari: Hydrachnidia), with the description of seven new species
Figure 5 Limnesia (Limnesia) pseudomaceripalpis sp. nov., A-D – holotype male, E – paratype female. A – dorsum; B – venter; C – palp; D – IV-leg-6; E – venter. Scale bars: A-B, E = 100 µm, C-D = 50 µm.
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