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6,783 results for “orientator”
Fig. 20 in Uncovering hidden diversity: phylogeny and taxonomy of Physoderinae (Reduviidae, Heteroptera), with emphasis on Physoderes Westwood in the Oriental and Australasian regions
Fig. 20. Distribution map for species of Physoderes Westwood, 1845 (partial).
Fig. 12 in Uncovering hidden diversity: phylogeny and taxonomy of Physoderinae (Reduviidae, Heteroptera), with emphasis on Physoderes Westwood in the Oriental and Australasian regions
Fig. 12. Distribution map for species of Macrophysoderes gen. nov.
Fig. 5 in Uncovering hidden diversity: phylogeny and taxonomy of Physoderinae (Reduviidae, Heteroptera), with emphasis on Physoderes Westwood in the Oriental and Australasian regions
Fig. 5. Ventral habitus images for species of Breviphysoderes gen. nov. Scale bars = 2 mm.
Fig. 6 in Uncovering hidden diversity: phylogeny and taxonomy of Physoderinae (Reduviidae, Heteroptera), with emphasis on Physoderes Westwood in the Oriental and Australasian regions
Fig. 6. Distribution map for species of Breviphysoderes gen. nov.
Fig. 26 in Review of the Oriental lantern-fly genus Egregia Chew Kea Foo, Porion & Audibert, 2011, with a new species from Sumatra (Hemiptera: Fulgoromorpha: Fulgoridae)
Fig. 26. Egregia laprincesse sp. nov., distribution map.
Plate 1 in New oriental Oedichirus (Staphylinidae, Paederinae, Pinophilini)
Plate 1: O. alatus 1h 1arl 1s8 1vp O. astoni 2arl O. chapmani 3h 3arl 3s8 3vp
Absolute and arbitrary orientation of single molecule shapes
<p>All software for the kinetic, thermodynamic, and EM simulations associated with the journal paper are presented here. Additionally the AFM images and codes for analyzing the orientation of right triangles as well as e-beam and DNA origami design files associated with the paper is included.</p>
Encoding and control of airflow orientation by a set of Drosophila fan-shaped body neurons
<p class="Body"><span><span><span><span><span><span><span><span><span><span>The insect Central Complex (CX) is thought to underlie goal-oriented navigation but its organization is still not fully understood. We recorded from genetically-identified CX cell types in <i>Drosophila</i> and presented directional visual, olfactory, and airflow cues known to elicit orienting behavior. We found that a group of neurons targeting the ventral fan-shaped body (ventral P-FNs) are robustly tuned for airflow direction. Ventral P-FNs did not generate a "map" of airflow direction. Instead, cells in each hemisphere were tuned to 45° ipsilateral, forming a pair of orthogonal bases. Imaging experiments suggest that ventral P-FNs inherit their airflow tuning from neurons that provide input from the lateral accessory lobe (LAL) to the noduli (NO). Silencing ventral P-FNs prevented flies from selecting appropriate corrective turns following changes in airflow direction. Our results identify a group of central complex neurons that robustly encode airflow direction and are required for proper orientation to this stimulus.</span></span></span></span></span></span></span></span></span></span></p>
Data for the article "Identification of Néel vector orientation in antiferromagnetic domains switched by currents in NiO/Pt thin films"
<p>Data for the article "Identification of Néel vector orientation in antiferromagnetic domains switched by currents in NiO/Pt thin films" (<a href="https://arxiv.org/abs/2008.08507">[2008.08507] Identification of Néel vector orientation in antiferromagnetic domains switched by currents in NiO/Pt thin films (arxiv.org)</a>)</p>
Figure 1 in Andean bear (Tremarctos ornatus) population density and relative abundance at the buffer zone of the Chingaza National Natural Park, cordillera oriental of the colombian andes
Figure 1. Natural covers map showing camera traps distribution at 9 grids throughout the study area.
Oriental Bowl
A simple bowl, inspired by Chinese & Japanese Lacquerware. Creatively Fueled with frustration by the use of Substance Painter. Source: Objaverse 1.0 / Sketchfab
Reader's Experience of Alice's Adventures in Wonderland French-Oriented Questionnaire
<p>This dataset contains the results of an online French-oriented questionnaire on readers' experience of <em>Alice's Adventures in Wonderland</em> by English author Lewis Carroll. It shows data collected between the 18th of August, 2013 and the 2nd of March, 2014 on 628 anonymous volunteers from French-speaking countries (mainly France and Belgium) between 10 and 70 years old who answered questions on how they perceived <em>Alice in Wonderland </em>as well as some more general questions on their reading habits.</p>
Supplementary files for: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.
<p>Supplementary files for Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. PLOS ONE, revision phase.</p> <p>Files: i) shapefile of longitudinal subglacial bedform dataset; ii) spreadsheet with signed error distributions.</p> <p> </p>
Data from: Jorge M G, Brennand T A. Measuring (subglacial) bedform orientation, one-dimensional size, and directional shape - method accuracy. Submitted to PLOS ONE, July 2015
<p>Georeferenced (EPSG 32610) vector file (shapefile format) containing the longitudinal subglacial bedform footprint dataset used in the study.<br /> </p>
Dataset of KEMAR-BRIRs measured at several positions and head orientations in a real room
<p>Measurement of BRIRs at 25 positions (1-25) in a reverberant room for two sound sources (A,B). The dummy head is rotated by 360° counterclockwise in 5° steps, respectively, at every position. The measuring points are arranged at a distance of 0.5m in x and y axis, respectively. The sound sources are arranged at a distance of 1.0m from the measuring grid.</p> <p>A whole description of the measurement can be found in:<br> http://opac.lbs-ilmenau.gbv.de/DB=1/SET=1/TTL=2/SHW?FRST=1<br> or contact stephan.werner@tu-ilmenau.de</p> <p>Sketch of the measuring grid:</p> <p> A<br> |<br> |<br> 5 - 4 - 3 - 2 - 1<br> | | | | |<br> 10 - 9 - 8 - 7 - 6<br> | | | | |<br> B - -15 - 14 - 13 - 12 - 11<br> | | | | |<br> 20 - 19 - 18 - 17 - 16<br> | | | | |<br> 25 - 24 - 23 - 22 - 21</p>
Figure 23. from New subgenus and new species of Oriental Omophorus (Coleoptera, Curculionidae, Metatygini) - ZooKeys 85: 41-59 (11 March 2011) https://doi.org/10.3897/zookeys.85.973
Figure 23. - Omophorus (Sinomophorus) rongshu sp. n., distribution map. Red dot is Xīnpíng.
Figure 22. from New subgenus and new species of Oriental Omophorus (Coleoptera, Curculionidae, Metatygini) - ZooKeys 85: 41-59 (11 March 2011) https://doi.org/10.3897/zookeys.85.973
Figure 22. - Omophorus (Sinomophorus) rongshu sp. n., female genitalia. Scale: 1 mm.
Question Oriented Software Text Retrieval
<p>Dataset-1: Question-answer pairs on “Lucene” collected from StackOverflow. As mentioned in paper [36], we first get 5,587 questions and 7,872 answers from the StackOverflow with tag “lucene”, where 1,826 questions with positive votes are kept and labeled. We use these question and their 2,460 answers for original classifier training and testing.</p> <p>Dataset-2: Question-answer pairs on “Java” collected from StackOverflow. We need more data to train the classifier models and evaluate our approach. Then we extend our data collection scope and randomly pick 50,000 questions with tag “Java” on StackOverflow. It may cost too much time if we judge the types of these question accurately and manually. We filter all the questions using regular expressions (e.g. the question includes phrases “how to” , “how can” or “what is the best way to”, etc., are labeled with “how to” tag). Finally, 11,003 questions and the corresponding 16,255 answers are selected. Table IV briefly describes these two datasets.</p> <p>Dataset-3: FAQs of seven well-known open source projects. In software development, FAQs are used by many projects as part of their documentation. Compared with the data from StackOverflow, the FAQs are more formal and accurate. We want to investigate whether our approach is valid in search- ing these questions’ answers and whether the classifiers are affected by our learning examples. Table V illustrates the 7 open source projects and the numbers of their FAQs. All of them are the top level projects (TLPs) in Apache.</p>
Figs 51-53 in New data on the Oriental Xantholinini. XXIV. Nine new taxa of Paratesba from Danum Valley, Sabah, and dichotomic key of the bornean species (Coleoptera, Staphylinidae). 221° contribution to the knowledge of the Staphylinidae
Figs 51-53: Aedeagus, tergite and sternite of male genital segment of Paratesba differens nov.sp.
Fig 1 in Vertebrate Carnivores And Predation In The Oriental (Indomalayan) Region
Fig 1. Boundary of the Oriental Region as used in this paper.
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.