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6,783 results for “orientator”
Figure 1 from: Yang D, Li Y, Mengqing W (2013) A new species of Ocydromia Meigen from China, with a key to species from the Palaearctic and Oriental Regions (Diptera, Empidoidea, Ocydromiinae). ZooKeys 349: 1-9. https://doi.org/10.3897/zookeys.349.5473
Figure 1 - Ocydromia shanxiensis sp. n., male adult. Scale bar 1 mm.
Figure 2 from: Yang D, Li Y, Mengqing W (2013) A new species of Ocydromia Meigen from China, with a key to species from the Palaearctic and Oriental Regions (Diptera, Empidoidea, Ocydromiinae). ZooKeys 349: 1-9. https://doi.org/10.3897/zookeys.349.5473
Figure 2 - Ocydromia shanxiensis sp. n., female adult. Scale bar 1 mm.
Figure 12 from: Gueorguiev B (2014) Two new related oodine genera in the Oriental Region, with remarks on the systematic position of the genera Hololeius and Holosoma (Coleoptera, Carabidae). Deutsche Entomologische Zeitschrift 61(2): 87-104. https://doi.org/10.3897/dez.61.7754
Figure 12 - Holosoma sp., habitus of male from Wenxian, Gansu, China. Scale bar = 2 mm.
Figures 20-23 from: Sartori M (2014) Status of the enigmatic Oriental genus Rhithrogeniella Ulmer, 1939 (Ephemeroptera, Heptageniidae). ZooKeys 429: 47-61. https://doi.org/10.3897/zookeys.429.8116
Figures 20-23 - Rhithrogeniella ornata Ulmer, 1939. 20 Gill I 21 Gill IV 22 Gill VI 23 Gill VII.
Figure 1 from: Ermilov SG, Sandmann D, Klarner B, Widyastuti R, Scheu S (2015) Contributions to the knowledge of oribatid mites of Indonesia. 2. The genus Pergalumna (Galumnidae) with description of a new species and key to known species in the Oriental region (Acari, Oribatida). ZooKeys 529: 87-103. https://doi.org/10.3897/zookeys.529.6421
Figure 1 - Pergalumna paraindistincta sp. n., adult: dorsal view. Scale bar 100 μm.
Models and data in support of "EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method"
<p>These directories contain the model and data files for "EMFEM: a parallel 3D modeling code for frequency-domain electromagnetic method using goal-oriented adaptive finite element method".<br> </p>
BACKGROUND FACTORS AFFECTING ALPHA HETEROGENITY ON THE REVISED LIFE ORIENTATION TEST (LOT-R)
<p>Data and syntax for reliability generalization cronbach alpha Life Orientation Test (LOT-R) </p>
Discretized representations in V1 predict suboptimal orientation discrimination
<p>Calcium Imaging datasets and code for the paper titled "Discretized representations in V1 predict suboptimal orientation discrimination".</p> <p>This description has 3 sections:</p> <ol> <li>Data tables description</li> <li>Query example</li> <li>Code description</li> </ol> <h1><strong>1. Data tables description</strong></h1> <p>The data is presented in CSV files that were exported from a SQL database. There are 3 datasets: Trained, Audiovisual and Naive. The archive contains 11 tables, 3 for each dataset used in the study (Trial, Cell and Cell_Trial tables) and 2 containing quartile information about the locomotion and pupil area for the second dataset. </p> <p>The content of the tables is as follows:</p> <p>Trial_Table contains all information about the individual trials and the tracked behavioral variables. The columns are as follows:<br><br></p> <ol> <li> <p>Trial - the trial number<br><br></p> </li> <li> <p>Experiment - the recording session identifier <br><br></p> </li> <li> <p>Behav_Cond - the protocol identifier or recording day<br><br></p> </li> <li> <p>Block - block identifier (task or tuning curve)<br><br></p> </li> <li> <p>Visual_Stim - the orientation in degrees of the visual stimulus <br><br></p> </li> <li> <p>Auditory_Stim - the type of auditory stimulus (1 = 5KHz, 2 = 10KHz, other = no stim)<br><br></p> </li> <li> <p>Contrast - the contrast of the visual stimulus <br><br></p> </li> <li> <p>Response - the mouse’s response (0 = no lick, 1 = lick)<br><br></p> </li> <li> <p>Outcome - the outcome of the trial (Hit, Miss, FA, CR)<br><br></p> </li> <li> <p>Lick_trace* - a blob containing the licking time series <br><br></p> </li> <li> <p>Lick_Trial - same as trace but only during stimulus presentation<br><br></p> </li> <li> <p>Lick_dt - the sampling period of the licking recording <br><br></p> </li> <li> <p>Locomotion_trace* - the mouse’s locomotion for this trial <br><br></p> </li> <li> <p>Locomotion_mean_01 - the average locomotion during the first second of stimulus presentation <br><br></p> </li> <li> <p>Pupil_Area_trace - pupil area during the trial <br><br></p> </li> <li> <p>Pupil_Area_mean_01 - pupil area average during the first second of stimulus presentation <br><br></p> </li> <li> <p>Pupil_Position_trace - pupil position during the trial <br><br></p> </li> <li> <p>Pupil_Position_meanX - pupil position average on the horizontal axis during stimulus presentation <br><br></p> </li> <li> <p>Pupil_Position_meanY - pupil position average on the vertical axis during stimulus presentation <br><br></p> </li> <li> <p>Inclusion*** - Whether the trial is included or not (due to some signal issues, some trials can be unusable)<br><br></p> </li> </ol> <p> </p> <p>Cell_Table contains all information about the segmented cells. The columns are as follows: <br><br></p> <ol> <li> <p>Cell - Cell identifier<br><br></p> </li> <li> <p>Experiment - Recording session identifier<br><br></p> </li> <li> <p>Zscore - Zscored response average during stimulus presentation<br><br></p> </li> <li> <p>DeconvA_Tau - Fitted deconvolution parameters (amplitude and decay time)<br><br></p> </li> <li> <p>nSpikeTC - Number of deconvoluted action potential related events (APrEs) during the tuning curve block <br><br></p> </li> <li> <p>DeconvCorr - Correlation coefficient between dF/F trace and convoluted APrEs trace <br><br></p> </li> <li> <p>Tuning_Curve_spikes_x**** - cell tuning curve fit from APrE data, encoded in bytes (see *)<br><br></p> </li> <li> <p>Best_Fit_spikes_x - The type of fit that was selected <br><br></p> </li> <li> <p>Pref_Orientation_spikes_x - The preferred orientation of the cell <br><br></p> </li> <li> <p>Tuning_Width_spikes_x - The tuning width (at half max)<br><br></p> </li> <li> <p>DSI_spikes_x - Direction selectivity index <br><br></p> </li> <li> <p>OSI_spikes_x - Orientation selectivity index<br><br></p> </li> <li> <p>All following columns are same than 7 to 12 but using either the mean dF/F or the AUC during stimulus presentation<br><br></p> </li> <li> <p>isCell** - the cell probability statistic from suite2p<br><br></p> </li> <li> <p>nPix** - the number of pixels in the segment <br><br></p> </li> <li> <p>spikeProb_TCtrials - the probability of having at least one APrE for the orientation closest to the preferred orientation in the tuning block <br><br></p> </li> <li> <p>Roundness** - the roundness of the segment (see paper)<br><br></p> </li> <li> <p>Radius** - radius in pixels of the segment <br><br></p> </li> <li> <p>magFactor** - the number of microns per pixel</p> </li> <li> <p>weightPO** - the preferred orientation (orientation of the average weight vector) derived from the SNN</p> </li> <li> <p>weightNorm** - the norm of the average weight vector<br><br></p> </li> </ol> <p> </p> <p>Cell_Trial_Table contains information about the cells’ activity during each trial. Columns are as follows:<br><br></p> <ol> <li> <p>Experiment - recording session identifier<br><br></p> </li> <li> <p>Trial - Trial number <br><br></p> </li> <li> <p>Cell - Cell identifier<br><br></p> </li> <li> <p>Trace* - dF/F trace <br><br></p> </li> <li> <p>TraceSpikes* - deconvolved APrE trace <br><br></p> </li> <li> <p>nSpikes - Number of APrEs during stim presentation <br><br></p> </li> <li> <p>Mean_dFoF - Mean dF/F during stim presentation <br><br></p> </li> <li> <p>AuC_dFoF - AuC of dF/F during stim presentation </p> </li> </ol> <p><br><br></p> <p>Locomotion and Pupil (only in the audiovisual dataset) contain the average locomotion or pupil value during the first second of stimulus presentation (Loc01mean/Pupil01mean) and the corresponding quartile (QuartMean) for every trial identified with Experiment and Trial. <br><br></p> <p> </p> <p>*All traces contain time points from -3 to +6s around the stimulus, they are encoded in bytes and can be unpacked using the getArrayFromByteStream matlab function </p> <p>** this column is specific to the trained and naive</p> <p>*** this column is specific to the audiovisual dataset </p> <p>**** x can be 1 or 2, if 2 has data it contains the tuning block recorded before the task. If no number is specified in the column title, then the tuning block was recorded after the task </p> <p><em>In the audiovisual dataset, the following sessions were not included in the calcium imaging analysis </em></p> <p><em> {'Ang001_0512','Ani5_111918','Ang003_0513','Ani2_092618','Ani4_111918','Ani1_092718','Ang002_0515','Ang003_0515','Ang004_0515','Ang001_0516','Ang002_0516' ,'Ang005_0516' }</em></p> <p> </p> <p>—--------------------------------------------------------------------------------------------------------------------------------------------------------</p> <h1><strong>2. Query example</strong></h1> <p>Example of a query used to download data using the criteria used in the article :</p> <p><code>SELECT ct.Experiment, ct.Cell, ctt.Trial,tt.Behav_Cond, tt.Visual_Stim, ctt.TraceSpikes, ctt.Trace, ct.Pref_Orientation_spikes_2, ct.Tuning_Curve_spikes_2, ct.Best_Fit_spikes_2, ct.spikeProb_TCTrials</code></p> <p><code>FROM Cell_Trial_Table as ctt </code></p> <p><code>INNER JOIN Trial_Table as tt ON ctt.Experiment = tt.Experiment AND ctt.Trial = tt.Trial </code></p> <p><code>INNER JOIN Cell_Table as ct ON ctt.Experiment = ct.Experiment AND ctt.Cell = ct.Cell </code></p> <p><code>WHERE tt.Behav_Cond = ''D1'' </code></p> <p><code>AND tt.Block = ''Orientation Tuning'' </code></p> <p><code>AND ct.Pref_Orientation_spikes_2 IS NOT NULL </code></p> <p><code>AND ct.DeconvCorr > 0.8 </code></p> <p><code>AND ct.isCell > 0.8 </code></p> <p><code>AND ct.spikeProb_TCTrials > 0.1</code></p> <p><code>AND ct.roundness > 0.2</code></p> <p><code>AND ct.nPix*ct.magFactor > 15 </code></p> <p> </p> <p> </p> <p>—--------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <h1><strong>3. Code description</strong></h1> <p>We provide the scripts allowing to analyze the data and plot the figures of the paper. The "Main" scripts folder contains the scripts generating the figures, the "Dependencies" folder contains the necessary custon functions to run the main scripts, and the "DataFiles" folder contain matfiles containing data pulled from the database in order to generate a specific plot.</p> <p>All plots are indexed in the “Index” pdf file, along with the file name of the script generating the given plot from the database, and if applicable, a data file corresponding to the corresponding data pulled from the database, allowing to bypass querying the necessary data.</p> <p> </p> <p><br><br><br><br></p> <p> </p> <p> </p>
Oriental stone engraving
A hand carved stone engraving that I saw within the grounds of a ancient Japanese temple in Nagano. Source: Objaverse 1.0 / Sketchfab
Task Oriented Training in Post Stroke Patients
ClinicalTrials.gov study NCT05201196. IPD Sharing: NO. Countries: 1. Publications: 0.
A Feasibility Trial of an Enhanced Coping-oriented Supportive Programme for Community-dwelling People With Spinal Cord Injury
ClinicalTrials.gov study NCT07170969. IPD Sharing: NO. Countries: 1. Publications: 0.
Comparative Study of Action Observation Training Versus Task Oriented Training on Reaching in Patients With Stroke
ClinicalTrials.gov study NCT07143500. IPD Sharing: NO. Countries: 1. Publications: 0.
Mindful Awareness in Body-Oriented Therapy for Women's Substance Abuse Treatment
ClinicalTrials.gov study NCT01280916. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Body-oriented Interventions on Preschoolers' Social-emotional Competence
ClinicalTrials.gov study NCT05729815. IPD Sharing: NO. Countries: 1. Publications: 0.
Process-oriented and Outcome-oriented Visual Assessments
ClinicalTrials.gov study NCT03908398. IPD Sharing: NO. Countries: 1. Publications: 0.
Scapular PNF and Activity Oriented Antiedema Proprioceptive Therapy on Shoulder Dysfunction Post Matectomy Lymphedema
ClinicalTrials.gov study NCT06602180. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of a Task Oriented Intervention With Two Goal-setting Approaches
ClinicalTrials.gov study NCT02160886. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessing a ctDNA and PET-oriented Therapy in Patients With DLBCL A Multicenter, Open-label, Phase II Trial.
ClinicalTrials.gov study NCT04604067. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Improving Treatment of Major Depressive Disorder by Reducing Negative Future-Oriented Mental Imagery
ClinicalTrials.gov study NCT06454695. IPD Sharing: NO. Countries: 1. Publications: 0.
Solution-oriented Nursing in Violence Against Women (SONVAW)
ClinicalTrials.gov study NCT05417919. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.
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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.