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580 results for “pattern analysis”
Fig. 3 in Morphotype And Multivariate Analysis Of The Occlusal Pattern Of The First Lower Molar In European And Asian Arvicoline Species (Rodentia, Microtus, Alexandromys)
Fig. 3. Differentiation on six East Asian vole samples by the morphotypic variation of the occlusal pattern.
Fig. 1 in Morphotype And Multivariate Analysis Of The Occlusal Pattern Of The First Lower Molar In European And Asian Arvicoline Species (Rodentia, Microtus, Alexandromys)
Fig. 1. Elements of the occlusal surface of m1 (the terminology follows van der Meulen, Zagwijn, 1974; Maul et al., 2007).
Meta-analysis of diurnal transcriptomics reveals strong patterns of concordance and discordance in mouse liver: processed data
<p>The accumulation of public transcriptomic timeseries data enables robust meta-analyses that were not possible until recently. To assess the consistency of biological rhythms across studies, 43 public mouse liver tissue timeseries totaling 805 RNA-seq samples were obtained and analyzed. Only the control groups of each study were included, to create comparable data. Technical factors in RNA-seq library preparation were the largest contributors to transcriptome-level differences, beyond biological or experiment-specific factors such as lighting conditions. Core clock genes were remarkably consistent in phase across all studies, while phase distributions of other periodic genes were generally less consistent. Overlap of genes identified as rhythmic across studies was generally low, with around 50% between some of the highest sample count studies. Distributions of phases of significant genes were remarkably inconsistent across studies, but genes consistently identified as rhythmic clustered near ZT0 and ZT12 in acrophase. Data was integrated across studies in a JIVE analysis, which showed that the top two components of joint within-study variation are determined by time of day. A shape-invariant model with random effects was fit to the genes to identify the underlying shape of the rhythms, consistent across all studies. This revealed the extent of asymmetric and multimodal genes.<br> <br> This supplemental file provides preprocessed RNA-seq quantifications of all reviewed datasets, as well as results of multiple analyses.</p>
Dataset supplementing "Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis."
<p>These data supplement the paper</p> <p>Thomassen, S., Hartung, K., Einhäuser, W., & Bendixen, A. (2022). Low-high-low or high-low-high? Pattern effects on sequential auditory scene analysis. <em>Journal of the Acoustical Society of America, 152</em>(5), 2758-2768.<a href="https://doi.org/10.1121/10.0015054"> https://doi.org/10.1121/10.0015054</a></p> <p><br> figure2.m, figure3.m and figure4.m reproduce the respective figures of the paper, using the data of dataExp1.mat, dataExp2.mat and dataExp3.mat, respectively (Figure 1 is not a Results figure).</p> <p>Please note that the legend command may throw a warning or an error in some matlab versions, when interpreting the underscore (_) as command character. These warnings can be ignored or the legend command commented out.</p> <p><br> The mat-files contain the following data:</p> <p>dataExp1.mat:</p> <p>The 18 x 4 x 3 (subjects x Delta f x pattern) cell arrays</p> <p> time_buttonPress_integrated <br> time_buttonPress_segregated <br> time_buttonRelease_integrated <br> time_buttonRelease_segregated </p> <p>contain the time points (in ms relative to block onset) at which the button for integrated / segregated percept is pressed / released. These matrices are already sorted by condition (in Delta f and pattern), and the buttons organized by reported percept.</p> <p> </p> <p>The 18 x 4 x 3 (subjects x Delta f x pattern) matrix</p> <p> time_blockEnd</p> <p>contains the timepoint (in ms after onset) of the end of each block.</p> <p><br> The 18 x 4 x 3 (subjects x Delta f x pattern) matrix<br> <br> originalBlockNum </p> <p>contains the serial order of the block of this condition during the experiment.</p> <p><br> The 1 x 4 vector</p> <p> Df</p> <p>contains the Delta f levels used (in order as used in the matrices' and cells' second dimension).</p> <p><br> The 1 x 3 cell<br> <br> patternLabel </p> <p>contains the patterns used (in order as used in the matrices' and cells' third dimension).</p> <p>see figure2.m for an example</p> <p> </p> <p>dataExp2.mat:</p> <p>The 18 x 2 x 2 x 2 x 20 cell</p> <p> buttonTimes</p> <p>contains the times (in ms relative to trial onset) at which the button status changed.</p> <p><br> The 18 x 2 x 2 x 2 x 20 cell</p> <p> buttonStates</p> <p>contains the new state of the button at the corresponding time in buttonTimes.</p> <p>The dimensions of both cell arrays are (in order):<br> subject (18 levels)<br> convergence (2 levels: divergent, convergent)<br> pattern (2 levels: HLH_, LHL_)<br> duration (2 levels: short/fast [10s], long/slow [15s])<br> instance (20 repetitions).</p> <p>see figure3.m for an example</p> <p> </p> <p>dataExp3.mat</p> <p>The 20 x 2 x 4 x 30 (subjects x pattern x Delta f x repetition) cell arrays</p> <p> time_buttonPress_integrated </p> <p> time_buttonPress_segregated </p> <p>contain the time points (in s relative to block onset) at which the button for integrated / segregated percept is pressed.</p> <p><br> The 1 x 2 cell</p> <p> patternLabel </p> <p>contains the patterns used (in order as used in the cells' second dimension).</p> <p>The 1 x 4 vector</p> <p> Df</p> <p>contains the Delta f levels used (in order as used in the cells' third dimension).</p> <p><br> Note that the order of dimensions and of patterns deviates between the three experiments, but is consistent within each experiment.</p> <p> </p>
Рис. 1. Ctenoceratoda tancrei, бабочки из разΛичных ΛокаΛитетов: а, e — Киргизский хр., нац. парк «АΛа-Арча»; b, f — хр. ΔжумгаΛтоо, массив Сары-Кайкы; c, d, g, h — хр. МоΛΑо-Тоо, пер. Коро-Гоо. a–d — самцы, e–h — самки Fig. 1. Ctenoceratoda tancrei, the wing pattern variability: a, e — Kirghiz Mts., «Ala-Archa» national park; b, f — Dzhumgaltoo Mts., Sary-Kaiky gorge; c, d, g, h — Moldo-Too Mts., Koro-Goo Pass. a–d — males, e–h — females in Morphometric analysis of genitalia of Ctenoceratoda tancrei (Graeser, 1892) (Lepidoptera, Noctuidae)
Рис. 1. Ctenoceratoda tancrei, бабочки из разΛичных ΛокаΛитетов: а, e — Киргизский хр., нац. парк «АΛа-Арча»; b, f — хр. ΔжумгаΛтоо, массив Сары-Кайкы; c, d, g, h — хр. МоΛΑо-Тоо, пер. Коро-Гоо. a–d — самцы, e–h — самки Fig. 1. Ctenoceratoda tancrei, the wing pattern variability: a, e — Kirghiz Mts., «Ala-Archa» national park; b, f — Dzhumgaltoo Mts., Sary-Kaiky gorge; c, d, g, h — Moldo-Too Mts., Koro-Goo Pass. a–d — males, e–h — females
Рис. 8. 3D–диаграммы пространственного распределениЯ обилиЯ моллюска M. catrusiana (А), фитомассы (В), твердости грунта на глубине 5–10 см (C) и доли агрегатных фракций 3–5 мм (D) на участке № 2 в 2011 г. (единицы иЗмерениЯ осей Х и Y даны в метрах). Fig. 8. 3D–diagrams of the abundance spatial distribution of the land snail M. catrusiana (A), phytomass (B), 0–10 cm layer soil penetration resistance (C), aggregate particle size 3–5 mm (D) at the site 1 in 2011 (axes X and Y presented in meters). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 8. 3D–диаграммы пространственного распределениЯ обилиЯ моллюска M. catrusiana (А), фитомассы (В), твердости грунта на глубине 5–10 см (C) и доли агрегатных фракций 3–5 мм (D) на участке № 2 в 2011 г. (единицы иЗмерениЯ осей Х и Y даны в метрах). Fig. 8. 3D–diagrams of the abundance spatial distribution of the land snail M. catrusiana (A), phytomass (B), 0–10 cm layer soil penetration resistance (C), aggregate particle size 3–5 mm (D) at the site 1 in 2011 (axes X and Y presented in meters).
Рис. 6. Графики Зависимости оценок варианс (S2) от средней плотности (D) популЯций наЗемных моллюсков B. cylindrica (А) и M. cartusiana (В): 1 – участок № 1, 2010 г.; 2 – участок № 2, 2011 г.; 3 – участок № 4, 2012 г.; 4 – участок № 5, 2012 г. Fig. 6. Variance estimation (S2) and average density (D) of the land snail B. cylindrica (А) and M. cartusiana (В) population scatter plots: 1 – site 1, 2010; 2 – site 2, 2011; 3 – site 4, 2012; 4 – site 5, 2012. in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 6. Графики Зависимости оценок варианс (S2) от средней плотности (D) популЯций наЗемных моллюсков B. cylindrica (А) и M. cartusiana (В): 1 – участок № 1, 2010 г.; 2 – участок № 2, 2011 г.; 3 – участок № 4, 2012 г.; 4 – участок № 5, 2012 г. Fig. 6. Variance estimation (S2) and average density (D) of the land snail B. cylindrica (А) and M. cartusiana (В) population scatter plots: 1 – site 1, 2010; 2 – site 2, 2011; 3 – site 4, 2012; 4 – site 5, 2012.
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 5. Коррелограммы покаЗателей обилиЯ наЗемных моллюсков раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – H. lucorum, участок № 1, 2010 г.; B – Ch. tridens, участок № 2, 2011 г.; C – Ch. tridens, участок № 4, 2012 г.); D – Ch. tridens, участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 5. Spatial correlogram of the land snail different age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – H. lucorum, site 1, 2010; B – Ch. tridens, site 2, 2011; C – Ch. tridens, site 4, 2012; D – Ch. tridens, site 5, 2012 (Moran index confidence value presented by filled signs).
Рис. 4. Коррелограммы покаЗателей обилиЯ наЗемного моллюска M. cartusiana раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 4. Spatial correlogram of land snail M. cartusiana age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled sings). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 4. Коррелограммы покаЗателей обилиЯ наЗемного моллюска M. cartusiana раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок № 5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 4. Spatial correlogram of land snail M. cartusiana age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled sings).
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 3. Коррелограммы покаЗателей обилиЯ наЗемного моллюска B. cylindrica раЗных воЗрастных групп (1 – ювенильные; 2 – вЗрослые; 3 – все вместе): A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.); D – участок №5, 2012 г. (достоверные оценки индекса Морана отмечены Залитыми Значками). Fig. 3. Spatial correlogram of the land snail B. cylindrica age groups abundance (1 – juvenile; 2 – adult; 3 – total): A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Moran index confidence value presented by filled signs).
Рис. 7. 3D–диаграммы пространственного распределениЯ обилиЯ моллюска B. cylindrica (А), фитомассы (В), проективного покрытиЯ (С), твердости грунта на глубине 5–10 см (D) на участке № 1 в 2010 г. (единицы иЗмерениЯ осей Х и Y даны в метрах). Fig. 7. 3D–diagrams of the abundance spatial distribution of the snail B. cylindrica (A), phytomass (B), plants projective cover (C), 0–10 cm layer soil penetration resistance (D) at the site 1 in 2010. (axes X and Y presented in meters). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 7. 3D–диаграммы пространственного распределениЯ обилиЯ моллюска B. cylindrica (А), фитомассы (В), проективного покрытиЯ (С), твердости грунта на глубине 5–10 см (D) на участке № 1 в 2010 г. (единицы иЗмерениЯ осей Х и Y даны в метрах). Fig. 7. 3D–diagrams of the abundance spatial distribution of the snail B. cylindrica (A), phytomass (B), plants projective cover (C), 0–10 cm layer soil penetration resistance (D) at the site 1 in 2010. (axes X and Y presented in meters).
Рис. 2. Диаграммы распределениЯ обилиЯ наЗемного моллюска M. cartusiana: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков). Fig. 2. Diagram of the abundance distribution of the land snail M. cartusiana: A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Х and Y axes presented in meters; abundance proportional to sphere sizes). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 2. Диаграммы распределениЯ обилиЯ наЗемного моллюска M. cartusiana: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков). Fig. 2. Diagram of the abundance distribution of the land snail M. cartusiana: A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Х and Y axes presented in meters; abundance proportional to sphere sizes).
Fig. 1 in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Fig. 1. Diagram of the abundance distribution of the land snail B. cylindrica: A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Х and Y axes presented in meters; abundance proportional to sphere sizes).
Supplementary online material for KIC 4150611: A quadruply eclipsing heptuple star system with a g-mode period-spacing pattern. Eclipse modelling of the triple and spectroscopic analysis
<p>Additional figures and data supplementary to the published (or soon-to-be-published) paper KIC 4150611: A quadruply eclipsing heptuple star system with a g-mode period-spacing pattern Eclipse modelling of the triple and spectroscopic analysis.</p> <p> </p>
Рис. 1. Диаграммы распределениЯ обилиЯ наЗемного моллюска B. cylindrica: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 1. Диаграммы распределениЯ обилиЯ наЗемного моллюска B. cylindrica: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков).
Fig.2 in Fenetic Analysis Of Bombina Bombina Ventral Spots Pattern In 8 Localizations In Latvia
Fig.2. The frequency of ventral phenomorphs (1-15) occurrences in Bombina bombina samplings (n=72) from different localizations in Latvia
Fig.8 in Fenetic Analysis Of Bombina Bombina Ventral Spots Pattern In 8 Localizations In Latvia
Fig.8. The ratio of different clusters of ventral Received: 30.04.2008. phenomorphs occurrence in the examined Accepted: 01.06.2009. Bombina bombina samplings (n=72).
Fig.5 in Fenetic Analysis Of Bombina Bombina Ventral Spots Pattern In 8 Localizations In Latvia
Fig.5. The ratio of registered clusters of ventral phenomorphs in Bombina bombina samplings (n=72) from different localizations (n=8). (Latvia) for the consultations and cooperation.
Fig.4 in Fenetic Analysis Of Bombina Bombina Ventral Spots Pattern In 8 Localizations In Latvia
Fig.4. The frequency of ventral phenomorphs' clusters occurrence in Bombina bombina samplings (n=72) from different localizations.
Рис. 1. Bryoxena centralasiae, изменчивость крыΛового рисунка: а, λ — Киргизский хр., нац. парк «АΛа-Арча»; в, г, з — хр. ΔжумгаΛтоо, массив Сары-Кайкы; д, к, м — хр. МоΛΑо-Тоо, пер. Коро-Гоо; б, е — Ферганский хр., пер. Урумбаш; ж, и — АΛайский хр., пер. ТаΛΑык Fig. 1. Bryoxena centralasiae, the wing pattern variability: а, λ — Kirghiz Mts., «Ala-Archa» national park; в, г, з — Dzhumgaltoo Mts., Sary-Kaiky gorge; д, к, м — Moldo-Too Mts., Koro-Goo Pass; б, е — Fergansky Mts., Urumbash Pass; ж, и — Alai Mts., Taldyk Pass in Morphometric Analysis Of The Genitalia Of (Staudinger, 1882) (Lepidoptera, Noctuidae)
Рис. 1. Bryoxena centralasiae, изменчивость крыΛового рисунка: а, λ — Киргизский хр., нац. парк «АΛа-Арча»; в, г, з — хр. ΔжумгаΛтоо, массив Сары-Кайкы; д, к, м — хр. МоΛΑо-Тоо, пер. Коро-Гоо; б, е — Ферганский хр., пер. Урумбаш; ж, и — АΛайский хр., пер. ТаΛΑык Fig. 1. Bryoxena centralasiae, the wing pattern variability: а, λ — Kirghiz Mts., «Ala-Archa» national park; в, г, з — Dzhumgaltoo Mts., Sary-Kaiky gorge; д, к, м — Moldo-Too Mts., Koro-Goo Pass; б, е — Fergansky Mts., Urumbash Pass; ж, и — Alai Mts., Taldyk Pass
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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.
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.