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4,489 results for “transitivity”
FIGURE 5 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 5. Fannia, male, epandrium, cerci and surstyli, lateral view: F. abdominiseta sp. nov. (A); F. amplitarsis sp. nov. (B); F. anguliseta sp. nov. (C); F. arcuata (D); F. bisetata sp. nov. (E); F. gilvitarsis (F); F. grisalesae sp. nov. (G); F. pedregalensis sp. nov. (H). Scale: 0.1 mm.
FIGURE 4 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 4. Fannia, male, epandrium, cerci and surstyli, posterior view: F. abdominiseta sp. nov. (A); F. amplitarsis sp. nov. (B); F. anguliseta sp. nov. (C); F. arcuata (D); F. bisetata sp. nov. (E); F. gilvitarsis (F); F. grisalesae sp. nov. (G); F. pedregalensis sp. nov. (H). Scale: 0.1 mm.
FIGURE 2 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 2. Fannia abdominiseta sp. nov. Male: head, frontal view (A); habitus, dorsal view (B); habitus, lateral view (C); fore tarsi (D); mid leg, anterior view (E); hind leg, anterior view (F). Scale: 1.0 mm.
FIGURE 1 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 1. Fannia amplitarsis sp. nov., anterior apical seta of mid tibia ⅔ the length of basitarsus (black triangle), anterodorsal view (A); Fannia arcuata, anterior apical seta of mid tibia 1/2 length of basitarsus (black triangle), anterodorsal view (B); Fannia amplitarsis sp. nov., hind coxa with two posterior setae (white triangle), posterior view (C); Fannia anguliseta sp. nov., hind coxa bare posteriorly (white triangle), posterior view (D); Fannia anguliseta sp. nov., syntergosternite with 2 pairs of curved lateral setae twice longer than sternite 5 (white triangle), lateral view (E); Fannia pedregalensis sp. nov., syntergosternite without any curved lateral setae longer than sternite 5 (white triangle), lateral view (F); Fannia grisalesae sp. nov., mid basitarsus with the basal fourth enlarged and covered with four long and thick curved setae (black triangle), lateral view (G); Fannia gilvitarsis, mid basitarsus enlarged ventrally (black triangle), lateral view (H). Scale: 0.5 mm.
FIGURE 8 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 8. Fannia anguliseta sp. nov. Male: head, frontal view (A); habitus, dorsal view (B); habitus, lateral view (C); fore tarsi (D); mid leg, anterior view (E); hind leg, anterior view (F). Scale: 1.0 mm.
FIGURE 6 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 6. Fannia, male, aedeagus and associates structures, dorsal view: F. abdominiseta sp. nov. (A); F. amplitarsis sp. nov. (B); F. anguliseta sp. nov. (C); F. arcuata (D); F. bisetata sp. nov. (E); F. gilvitarsis (F); F. grisalesae sp. nov. (G); F. pedregalensis sp. nov. (H). Scale: 0.1 mm.
FIGURE 3 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 3. Fannia, male, sternite 5, ventral view: F. abdominiseta sp. nov. (A); F. amplitarsis sp. nov. (B); F. anguliseta sp. nov. (C); F. arcuata (D); F. bisetata sp. nov. (E); F. gilvitarsis (F); F. grisalesae sp. nov. (G); F. pedregalensis sp. nov. (H). Scale: 0.1 mm.
FIGURE 11 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 11. Fannia gilvitarsis. Male: head, frontal view (A); habitus, dorsal view (B); habitus, lateral view (C); fore tarsi (D); mid leg, anterior view (E); hind leg, anterior view (F). Scale: 1.0 mm.
FIGURE 10 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 10. Fannia bisetata sp. nov. Male: head, frontal view (A); habitus, dorsal view (B); habitus, lateral view (C); fore tarsi (D); mid leg, anterior view (E); hind leg, anterior view (F). Scale: 1.0 mm.
FIGURE 14 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 14. Fannia pedregalensis sp. nov. Female: head, frontal view (A); habitus, dorsal view (B); habitus, lateral view (C). Scale: 0.5 mm.
FIGURE 15 in Fannia pretiosa-group (Diptera: Fanniidae) from Mexico: six new species from the Mexico Transition Zone and an identification key
FIGURE 15. Fannia pedregalensis sp. nov. Female: ovipositor, dorsal view (A); ovipositor, ventral view (B). Scale: 0.1 mm.
Transition from NREM to REM sleep
<p>This is the data and matlab code to accompany the paper entitled "Which region enters REM sleep first: Intracerebral properties of NREM to REM sleep transitions in human sleep," by L Peter-Derex, N von Ellenrieder, F van Rosmalen, J Hall, F Dubeau, J Gotman, and B Frauscher.</p> <p>The file NREM_to_REM_sleep_transitions.mat contains the data necessary for reproducing the results, the file NREM_to_REM_sleep_transitions_results.mat contains the results, and the file NREM_to_REM_transitions_script.m contains the code to produce the results, and also contains more information on the variables provided in the first two files.</p> <p> </p>
A dataset of measured spatial room impulse responses for the transition between coupled rooms
<p>For a detailed description of the measurement and analysis methods, please see:</p> <p>McKenzie, T., Schlecht, S. J., and Pulkki, V. (2021). Acoustic Analysis and Dataset of Transitions between Coupled Rooms. <em>IEEE International Conference on Acoustics, Speech and Signal Processing.</em></p> <p> </p> <p>This dataset contains measured spatial room impulse responses for the transition between coupled rooms. Four coupled room pairs are included:</p> <ul> <li>Meeting Room to Hallway</li> <li>Office to Anechoic Chamber</li> <li>Office to Kitchen</li> <li>Office to Stairwell</li> </ul> <p>All were recorded at the Aalto University campus using a Genelec 8331A coaxial loudspeaker and an mh acoustics Eigenmike (32 capsule spherical microphone array for fourth order spherical harmonic capture). Each transition features 101 measurements in 5cm intervals from 2.5m inside the first room to 2.5m inside the second room. Transitions are repeated four times corresponding to four different source positions: two inside each room, one which has no continuous line-of-sight with the microphone when in the opposing room, and one which retains a direct continuous line-of-sight with the microphone for all measurement positions. </p> <p>The spatial room impulse responses are downloadable in either Spatially Oriented Format for Acoustics (SOFA) and Wav formats. Supplementary data includes amplitude plots, direct-to-reverberant graphs, estimated direction-of-arrival plots and scaled illustrations of room geometries and source positions. </p> <p>Changelog: </p> <p>V 1.0 - Initial version<br> V 1.1 - Added plots only download option<br> V 1.2 - Improved time alignment of impulse responses and changed normalisation to a single value relative to the maximum of the entire dataset<br> V 1.3 - SOFA files updated to latest Matlab API (1.1.3), 'SingleRoomDRIR' convention, with SourcePosition data corrected. The SOFA files for each transition are also now downloadable separately, in case the entire dataset is not required. <br> V 1.4 - SRIRs have been denoised using the technique described in https://www.aes.org/e-lib/browse.cfm?elib=21800 and available at https://github.com/chris-hld/Directional-Multi-Slope-Room-Impulse-Response-Denoising. This is particularly noticeable for measurements with a low SNR, such as where there is a large distance between source and receiver and occluded direct path. Note that the wav files have not been included in this release - see previous releases if wav files (not denoised) are required. SOFA files are renamed and available to download separately.</p>
"Transition to the Haldane phase driven by electron-electron correlations"
<p>Dataset (Fig.1-Fig.5) for "Transition to the Haldane phase driven by electron-electron correlations"</p>
Rotational and Dilational Reconstruction in Transition Metal Dichalcogenide Moire Bilayers
<p>Data sets used in "Rotational and Dilational Reconstruction in Transition Metal Dichalcogenide Moire Bilayers" by Van Winkle and Craig et al.</p> <table> <tbody> <tr> <td>File name</td> <td>Appearance in Manuscript</td> <td>Material</td> <td>P/AP</td> <td>Twist Angle (°)</td> <td>Hetstrain (%)</td> <td>Scan Shape (pixels)</td> <td>Pixel Size (nm)</td> <td>Smoothing Sigma</td> </tr> <tr> <td>DS1</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>0.369</td> <td>0.451</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS2</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>0.523</td> <td>0.138</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS3</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.849</td> <td>0.546</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS4</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.814</td> <td>0.453</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS5</td> <td>Fig. 2m, 2n, 5a, 5d</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.769</td> <td>0.472</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS6</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.721</td> <td>0.849</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS7</td> <td>Fig. 2a, 2d, 2g, 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.227</td> <td>0.304</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS8</td> <td>Fig. 2m, 2n, 5b, 5e</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.644</td> <td>0.970</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS9</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.353</td> <td>0.597</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS10</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.597</td> <td>0.930</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS11</td> <td>Fig. 5c, 5f</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.919</td> <td>1.320</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS12</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>1.193</td> <td>0.581</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS13</td> <td>Fig. 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>0.856</td> <td>0.619</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS14</td> <td>Fig. 1b, 1c, 2m, 2n</td> <td>MoS2/MoS2</td> <td>P</td> <td>0.818</td> <td>0.319</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS15</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>2.562</td> <td>0.444</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS16</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>2.121</td> <td>0.595</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS17</td> <td>Fig. 5h, 5k</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.533</td> <td>1.353</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS18</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>2.697</td> <td>0.455</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS19</td> <td>Fig. 5i, 5l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.459</td> <td>1.138</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS20</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>0.514</td> <td>0.434</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS21</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>0.652</td> <td>0.500</td> <td>200x200</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS22</td> <td>Fig. 2c, 2f, 2i, 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.688</td> <td>0.588</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS23</td> <td>Fig. 2k, 2l, 5g, 5j</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.361</td> <td>0.620</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS24</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.226</td> <td>0.472</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS25</td> <td>Fig. 1d, 2b, 2e, 2h, 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>0.771</td> <td>0.380</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS26</td> <td>Fig. 2k, 2l</td> <td>MoS2/MoS2</td> <td>AP</td> <td>1.483</td> <td>0.568</td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS28</td> <td>Fig. 1b, 1c, 3c, 3f, 3j</td> <td>WSe2/MoS2</td> <td>P</td> <td>0.795</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS29</td> <td>Fig. 1d</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.070</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS30</td> <td>Fig. 4g, 4j</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.776</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS31 (and raw dm4 data)</td> <td>Fig. 4h, 4k</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.852</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS32</td> <td>Fig. 3b, 3e, 3i</td> <td>WSe2/MoS2</td> <td>AP</td> <td>1.072</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS33</td> <td>Fig. 4i, 4l</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.824</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS34</td> <td>Fig. 4a, 4d, 4g, 4j</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.097</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS35</td> <td>Fig. 4b, 4e, 4h, 4k</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.096</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS36</td> <td>Fig. 3a, 3d, 3h</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.127</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> <tr> <td>DS37</td> <td>Fig. 4c, 4f, 4i, 4l</td> <td>WSe2/MoS2</td> <td>AP</td> <td>0.167</td> <td> </td> <td>100x100</td> <td>0.5</td> <td>2</td> </tr> </tbody> </table>
Data and codes for "Dynamical Quantum Phase Transitions Following Double Quenches"
<p>Codes for producing figures and data in the paper "Dynamical Quantum Phase Transitions Following Double Quenches" (<a href="https://arxiv.org/abs/2302.01661">https://arxiv.org/abs/2302.01661</a>). Included are the data for the return rates and python codes for producing this data and the figures. A Mathematica file is included which was used for analysing the conditions for DQPTs in the paper, and for producing the remaining figures.</p>
Creep-to-runout transition of large landslides controlled by frictional velocity strengthening and weakening
<p>Providing a dynamic model accounting for the effects of pore water pressure and friction strengthening and weakening to predict the sliding process of catastrophic landslides</p>
Salt Induced Transitions in Structural Ensemble of Intrinsically Disordered Proteins
<p>Simulation data and the corrosponding analysis script for the work "<strong>Salt Induced Transitions in Conformational Ensemble of Intrinsically Disordered Proteins</strong> " by <em>Hiranmay Maity, Lipika Baidya </em>and<em> Govardhan reddy</em> are deposited here. </p> <p>Analysis Scripts:</p> <p>The scripts for analysing the simulation data are in analysis_script.zip. The folder contains:</p> <ul> <li> <p>autocorrelation.c : code for calculating end_to_end distance autocorrelation function with time in C.</p> </li> <li> <p>average_property.cpp: code for calculating average property such as radius of gyration (R<sub>g</sub>) from trajectory files in C++.</p> </li> <li> <p>calculate_saxs_kratky.c: code for calculating scattering profile (SAXS and Kratky) from simulation data in C.</p> </li> <li> <p>compute_contact_map.cpp: code for calculating contact map in C.</p> </li> <li> <p>probablity_distribution.c: code for calculating probablity distribution of Rg in C.</p> </li> <li> <p>structure_factor.c: code for calculating structure factor in C.</p> </li> </ul>
Critical transitions and evolutionary hysteresis in movement: Habitat fragmentation can cause abrupt shifts in dispersal that are difficult to revert
<p>Under habitat fragmentation, plant species' survival hinges on the ability of individuals to disperse from one habitat patch to another. While there is evidence that severe habitat fragmentation leads to evolution of reduced dispersal ability and that such decreased mobility is generally detrimental for species' survival, it is unknown whether species adapt via a gradual loss in dispersal ability or via a sudden shift from frequent to infrequent dispersal between patches (i.e., a critical transition). Using both a spatially explicit deterministic and individual-based stochastic model of hydrochorous seed dispersal, we show that a small increase in inter-patch distance can generate an abrupt shift in plant seed dispersal strategy from long to short distances. Most importantly, we found that a substantial increase in connectivity between habitat fragments is required to reverse this loss of long-distance dispersal, due to an evolutionary hysteresis effect. Our theory prompts for re-consideration of the eco-evolutionary consequences of habitat fragmentation as restoring habitat connectivity may require restoration of much higher connectivity levels than currently assumed.</p>
What happened to the people of the Quebrada Chupacigarro cemetery? Bioarchaeological evidence of violence during the transition between the Middle and Late Formative (500–400 BC) in the Peruvian North-Central Coast.
<p>Photos from a bioarchaeological study of violence in individuals from prehistoric communities of the Supe Valley, North-Central Coast of Peru (500-400 BCE).</p>
ScienceDex guides
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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.