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9,677 results for “one”
One Ring Inscription
**[One Ring](https://en.wikipedia.org/wiki/One_Ring)**  *Ash nazg durbatulûk, ash nazg gimbatul,* *Ash nazg thrakatulûk agh burzum-ishi krimpatul.* Source: Objaverse 1.0 / Sketchfab
EEG_Data_PLOSE ONE
<p>12 subjects<br /> Picture naming task<br /> sampling frequency: 1000 Hz<br /> 74 trials/picture per session<br /> Epoch: -200ms:620ms<br /> 256 channels</p> <p>Recommended preprocessing:<br /> - Filtering 3:45Hz<br /> - Artefact removal: Using EEGLAB</p>
dEEG and fMRI_PLOS ONE
<p>subject and data information</p> <p>5_subjects</p> <p>self-paced motor movement task</p> <p>sampling frequency: 1000 Hz</p> <p>256 channels</p> <p>After processing files</p>
Datasets for article: The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view
<p>The data of the article titled: <strong>The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view</strong></p> <p>submitted to PLOS ONE </p>
dataset for article: Ortega-Roldan, B., Rodriguez-Ruiz, S., Perakakis, P., Fernandez-Santaella, M.C., Vila, J. (2014). The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view. PLoS ONE 9(7): e102595
<p>dataset for article: Ortega-Roldan, B., Rodriguez-Ruiz, S., Perakakis, P., Fernandez-Santaella, M.C., Vila, J. (2014). The emotional and attentional impact of exposure to one’s own body in bulimia nervosa: A physiological view. PLoS ONE 9(7): e102595</p>
Dataset of paper: Supervised and Dynamic Neuro-Fuzzy Systems to Classify Physiological Responses in Robot-Assisted Neurorehabilitation (PLOS One)
<p>The data set contains number of user, user's physiological signals (Pulse, SCL, SCR, Respiration rate, Skin temperature), Label, Difficulty level from relax to stress. Label is codified from 1 to 5 corresponding to the Difficulty level.</p>
THE STATUS OF THE SERBIAN TERMINOLOGY DEFINED BY THE SERBIAN LANGUAGE POLICY THROUGHOUT ITS CONTEMPORARY AND FUTURE PLANS. AN OUTLINE OF ONE TERMINOLOGICAL ALGORITHM
<p>This lecture aims to point out the necessity of creating a digital terminology database of the Serbian professional terminology which would provide systematically collecting, inventory making, precise identifying, defining, linguistic analyzing and interpreting terminologies of different professions for making a stable ground for the codification and standardization of professional terminology of the Serbian language. It also implicitly points to a need to organize terminology workshops through which the experts that “build” vocabularies of their profession would become familiar with the basic principles of creating or designing terminology expressed in the work with the database via the network interface and thus become able to work on different professional terminologies. In addition, the paper suggests the most common mistakes in contemporary terminographic work as a result of lack of understanding of the meaning of inter- and multi-disciplinary approach to the study of terminology as a special branch of linguistic research.</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>
Predicting the sensory consequences of one's own action: First evidence for multisensory facilitation
<p>Dataset relative to the following publication:</p> <p>van Kemenade, B.M., Arikan, B.E., Kircher, T., Straube, B. (2016). Predicting the sensory consequences of one’s own action: First evidence for multisensory facilitation. <em>Attention, Perception, Psychophysics</em> 78:2515–2526</p>
FIGURE 74 in Hidden diversity in deep-water bandfishes: review of Owstonia with descriptions of twenty-one new species (Teleostei: Cepolidae: Owstoniinae)
FIGURE 74. Owstonia sibogae, Indonesia, Timor Sea. After Weber, 1913, pl. 2, fig. 4.
FIGURE 80. Owstonia tosaensis, ASIZP 60461, 173 in Hidden diversity in deep-water bandfishes: review of Owstonia with descriptions of twenty-one new species (Teleostei: Cepolidae: Owstoniinae)
FIGURE 80. Owstonia tosaensis, ASIZP 60461, 173 mm SL, Taiwan. Photograph by Sandra J. Raredon.
FIGURE 27 in Hidden diversity in deep-water bandfishes: review of Owstonia with descriptions of twenty-one new species (Teleostei: Cepolidae: Owstoniinae)
FIGURE 27. Distributions of selected species of Owstonia based on specimens examined.
FIGURE 25 in Hidden diversity in deep-water bandfishes: review of Owstonia with descriptions of twenty-one new species (Teleostei: Cepolidae: Owstoniinae)
FIGURE 25. Distributions of selected species of Owstonia based on specimens examined.
Predicting the multisensory consequences of one's own action: BOLD suppression in auditory and visual cortices
<p><strong><em>Data related to the following publication:</em></strong></p> <p>Straube, B., Kemenade, B. M. van, Arikan, B. E., Fiehler, K., Leube, D. T., Harris, L. R., & Kircher, T. (2017). Predicting the Multisensory Consequences of One’s Own Action: BOLD Suppression in Auditory and Visual Cortices. <em>PLOS ONE</em>, <em>12</em>(1), e0169131. http://doi.org/10.1371/JOURNAL.PONE.0169131</p> <p>Further information can be found in the data_description.docx file.</p>
Vanellus chilensis dataset accompanying PLOS ONE paper "Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird"
<p>Southern Lapwing <em>Vanellus chilensis</em> dataset accompanying the PLOS ONE article</p> <p>O. Jahn, T. Ganchev, M.I. Marinez and K.L. Schuchmann: Automated Sound Recognition Provides Insights into the Behavioral Ecology of a Tropical Bird. DOI:10.1371/journal.pone.0169041</p> <p>---<br> BL01:<br> Background Library 01 consists of</p> <p>BL01 >> BL_CHVACH_free_final:<br> 54 hand-cleaned (<em>Vanellus chilensis</em>-free) background files and</p> <p>BL01 >> PSC008_forest:<br> 36 original soundscapes recorded inside forest, which may contain a few target signals from overflying lapwings.</p> <p>---<br> PONE_VACH_AnnualCycle_Statistics:<br> Contains the Excel files<br> - 2013CHVACH_BreedingCycle_Statistics_PONE: statistics on <em>V. chilensis</em> activity patterns, Apr. 2013 to Sep. 2013.<br> - 2013CHVACH_FalseNegatives_PONE: determination of the false negative rate based on an expert-annotated sample of 26 soundcsape recordings<br> - 2013CHVACH_FalsePositives_PONE: determination of the false positive rate based on an expert-annotated random sample of 1250 automated <em>V. chilensis</em> detections.</p> <p>---<br> TL01_BIAVCHCHVACH_20130813v2_HandCleaned:<br> Training library for the development of the <em>V. chilensis</em> recognizer, consisting of 90 hand-filtered recordings of the target species.</p> <p>---<br> VACH_Detector_results >> VACHdetectorOutput_PONE.zip:<br> TXT detector output files, listing timestamps of potential <em>V. chilensis</em> sound events.</p> <p>---<br> VACH_FNrate_20160706:<br> Validation library used to determine the false negative rate. The library consists of 26 expert-annotated sound files. Annotations were made in Adobe Audion v3.0.</p> <p>---<br> VL01_VACH_MonoB<br> and<br> VL01_VACH_MonoB:<br> Validation library used for the fine-tuning of the recognizer settings.</p> <p>---<br> Important notes on the annotation of the VACH_FNrate_20160706 library:</p> <p>1) In general, we used the procedure described in Ganchev et al. 2015 for the annotation of VACH validation libraries (see next section).</p> <p>2) However, the detector-generated timestamps were not changed! For the following reasons, it is not possible to use the VACH_FN_rate library as a validation library for the development of improved recognizer versions:</p> <p>(a) The VACH detector overlooked many of the weaker signals within a VACH call series. Therfore the detector-generated annotations are incomplete.<br> (b) For the same reason some automatically-generated detections may refer to a single VACH call event (double hits).</p> <p>Details on the method used for the annotation of the VACH validation libraries are described in Ganchev et al. 2015, pp.6100f: 2.1.3.3.Vanellus chilensis validation dataset.</p>
Fig. 11 in Taxonomic status of the family Biokoviellidae Mršić, 1992 (Diplopoda, Chordeumatida): reconsideration, with a description of one new species
Fig. 11. Distribution of the subfamily Biokoviellinae stat. nov.
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Figure 1. - Bayesian phylogeny of Euptychia based on one mitochondrial (COI) and one nuclear (EF1-a) gene. Posterior probabilities are listed above and bootstrap values below branches. A dash denotes bootstrap support lower than 50%. (Euptychiaattenboroughi is not included in the analysis – see text for details.)
Multiple Fingers – One Gestalt
<p>The Gestalt theory of perception offered principles by which distributed visual sensations are combined into a structured experience (“Gestalt”). We demonstrate conditions whereby haptic sensations at two fingertips are integrated in the perception of a single object. When virtual bumps were presented simultaneously to the right hand’s thumb and index finger during lateral arm movements, participants reported perceiving a single bump. A discrimination task measured the bump’s perceived location and perceptual reliability (assessed by differential thresholds) for four finger configurations, which varied in their adherence to the Gestalt principles of proximity (small vs. large finger separation) and synchrony (virtual spring to link movements of the two fingers vs. no spring). According to models of integration, reliability should increase with the degree to which multi-finger cues integrate into a unified percept. Differential thresholds were smaller in the virtual-spring condition (synchrony) than when fingers were unlinked. Additionally, in the condition with reduced synchrony, greater proximity led to lower differential thresholds. Thus, with greater adherence to Gestalt principles, thresholds approached values predicted for optimal integration. We conclude that the Gestalt principles of synchrony and proximity apply to haptic perception of surface properties and that these principles can interact to promote multi-finger integration.</p> <p><strong>Lezkan</strong>, A. Manuel, S.G. Colgate, J.E., Klatzky, R.L,. Peshkin, M.A. & <strong>Drewing</strong>, K. (2016). Multiple Fingers – One Gestalt. <em>IEEE Transactions on Haptics,</em> <em>9</em>(2), 255-266.</p> <p>The Zip file contains all data relative to the publication.</p> <p>A description of the variables is contained in the file VARIABLE_CODES.txt</p>
Eclipse2017 17-hour CSV quadrature, in-phase WWVB carrier in one-second increments
<p>Boxcar-integrated I&Q data sets of WWVB (60 kHz) received with magnetic loop antenna at 43.21N, 79.89W (Hamilton, ON). Three data files start at 09:00:00 UTC. on Aug 20, Aug 21, Aug 22, 2017. Each file spans seventeen hours.</p> <p>Each I&Q boxcar data point represents average WWVB carrier integrated over the one-second period starting with WWVB's BPSK phase-transition point, one-hundred milliseconds after start-of-second. The 60 kHz carrier downconverter oscillator is a Valpey-Fisher VF150 crystal oscillator which is free-running. Its phase and frequency vary with time and temperature. It is possible to determine WWVB's legacy AM timecodes from <span class="math-tex">\(amplitude = \sqrt{inphase^2+ quadrature^2}\)</span></p> <p>File format is CSV text compatible, quadrature delimited by ASCII space '0x20' from in-phase. Quadrature and In-phase data are signed decimal integers lying in all four phase quadrants.</p>
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.