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3,145 results for “Well Being”
Analysis of the nonlinear optical response of excitons in type-I and type-II quantum wells including many-body correlations
<p>Dataset of the publication “Analysis of the nonlinear optical response of excitons in type-I and type-II quantum wells including many-body correlations”, A. Trautmann, M. Stein, F. Schäfer, D. Anders, C. Ngo, J. T. Steiner, M. Reichelt, S. Chatterjee, and T. Meier, Proc. SPIE 12419, Ultrafast Phenomena and Nanophotonics XXVII, 124190A (2023) ( <a href="https://doi.org/10.1117/12.2650169">https://doi.org/10.1117/12.2650169</a> ). The zip file includes the data on which the plots are based.</p>
ANOVA test results for Figure 4, as well as tables with post hoc results where all P values are presented in numerical form.
<p>ANOVA test results for Figure 4, as well as tables with post hoc results where all P values are presented in numerical form.</p>
ANOVA test results for Figure 2, as well as tables with post hoc results where all P values are presented in numerical form.
<p>ANOVA test results for Figure 2, as well as tables with post hoc results where all P values are presented in numerical form.</p>
ANOVA test results for Figure 1, as well as tables with post hoc results where all P values were presented in numerical form.
<p>ANOVA test results for Figure 1, as well as tables with post hoc results where all P values were presented in numerical form.</p>
ANOVA test results for Figure 3, as well as tables with post hoc results where all P values are presented in numerical form.
<p>ANOVA test results for Figure 3, as well as tables with post hoc results where all P values are presented in numerical form.</p>
ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.
<p>ANOVA test results for Figure 5, as well as tables with post hoc results where all P values are presented in numerical form.</p>
Terahertz-induced anomalous currents following the optical excitation of excitons in semiconductor quantum wells
<p>Dataset of the publication “Terahertz-induced anomalous currents following the optical excitation of excitons in semiconductor quantum wells“, C. Ngo, S. Priyadarshi, H. T. Duc, M. Bieler, and T. Meier, Proc. SPIE 12419, Ultrafast Phenomena and Nanophotonics XXVII, 124190G (2023) ( <a href="https://doi.org/10.1117/12.2646022">https://doi.org/10.1117/12.2646022</a> ). The zip file includes the data on which the plots are based.<br> </p>
A complete list of filtered variants and gene lists of frequently and recurrently mutated genes in 25 MCL patients at diagnosis compared to relapse, as well as a CNV genelist
<p>Supplemental Table 1 shows a complete list of variants which passed filtering described in supplemental methods, that were found in both diagnostic samples and relapsed samples (i.e., shared variants, sheet 1A), variants that were newly detected – N/D (sheet 1B) or newly undetected – N/U (sheet 1C). Gene lists for filtration of variants and CNV changes in genes of special interest are included in the table (sheet 1D). Chr - Chromosome, REF - Reference allele, ALT - Alternative allele, AA change - Amino acid change, DG_AF – Variant Allele frequency in the diagnostic sample, DG_Depth - Read depth in the diagnostic sample, REL_AF - Variant Allele frequency in the relapsed sample, REL_Depth - Read depth in the relapsed sample, SNV - Single Nucleotide Variant, and CNV - Copy Number Variation. </p>
Figure 3 in Well-known species, unexpected results: high genetic diversity in declining Vipera ursinii in central, eastern and southeastern Europe
Figure 3. Genetic relationship between locations calculated using Cavalli-Sforza and Edwards Dc distance (Cavalli-Sforza and Edwards, 1967) using the software POPULATIONS 1.2.28 (Langella, 1999). The distances were calculated with 5 microsatellite markers and branches with bootstrap support>40 were indicated.
Figure 2 in Well-known species, unexpected results: high genetic diversity in declining Vipera ursinii in central, eastern and southeastern Europe
Figure 2. Maximum-likelihood tree from combined data (Cytochrome b and ND4, totalling 1920 bp) for different subspecies of Vipera ursinii. Values of bootstrap support for maximum likelihood (first) maximum parsimony (middle) are shown for nodes found in more than 50% of 1000 trees, as well as posterior probability from Bayesian inference (right). The population number (see fig. 1 and supplementary table S1) where the haplotypes have been found are added to the haplotype label. Drawing of Vipera ursinii rakosiensis courtesy of Márton Zsoldos.
Figure 1 in Well-known species, unexpected results: high genetic diversity in declining Vipera ursinii in central, eastern and southeastern Europe
Figure 1. Location of the samples used in the study: squares represent mtDNA data, round symbols represent microsatellites data. The size of the round symbols is proportional to the number of samples used. Locality numbers correspond with supplementary table S1 (in black when microsatellite data are available; in white when mtDNA data). The colours of the marks are different between subspecies: green: V. ursinii rakosiensis, yellow: V. u. moldavica, blue: V. u. macrops, grey: V. u. macrops from Bistra Mt., red: V. renardi. White striped grids show distribution of each subspecies/species on a 100x100 UTM grid resolution (after Sillero et al., 2014). Distribution area of V. greaca (from IUCN red list, Mizsei et al., 2018) is colored in pink. On the top left, insert A shows a zoom in the V. ursinii macrops region, while insert B illustrates the location of study area within Europe.
Figure 4. Comparative phylogenetic relationship between the 11 in Well-known species, unexpected results: high genetic diversity in declining Vipera ursinii in central, eastern and southeastern Europe
Figure 4. Comparative phylogenetic relationship between the 11 regions with both mtDNA (left) and nDNA (right). left: Mitochondrial DNA tree based on the genetic distances of the different haplotypes (combining cytochrome b and ND4; 1920 bp) within each region. right: Nuclear tree based on Cavalli-Sforza and Edwards Dc distances (Cavalli-Sforza and Edwards, 1967) calculated with the software POPULATIONS 1.2.28 (Langella, 1999) based on 5 microsatellites markers. Dashed branches correspond to discrepancies between both phylogenetic reconstructions. Both trees were not rooted. The colours are different between subspecies: green: V. ursinii rakosiensis, yellow: V. u. moldavica, blue: V. u. macrops, grey: V. u. macrops from Bistra Mt., red: V. renardi.
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images. in Identification of morphologically cryptic species with computer vision models: wall lizards (Squamata: Lacertidae: Podarcis) as a case study
Highly variable. Mid-portion of the dorsum used frequently (although other areas as well). Tip of the snout used often, but area around the ear and throat are also relevant. P. carbonelli Variable. In the dorsal view, the tip of the snout is frequently used. In the head lateral view, the tip of the snout is also com- monly used, as well as the most posterior region of the head. P. guadarramae Variable. Mid portion of the dorsum and tip of the snout are the regions used more frequently in dorsal and head lateral views, respectively. P. hispanicus Variable. The head and most anterior part of the dorsum are frequently used in the dorsal view. Snout and/or top of posterior region of head used. P. liolepis Variable. Different parts of the dorsum are used, whereas the tip of the snout is used in most head lateral images. P. lusitanicus Anterior dorsum, in the dorsal view, and both snout and posterior side of the head (in head lateral views) frequently used. P. tunesiacus Variable. Tip of the snout and posterior part of the trunk more used than in other species; snout and top head region behind the eye used with some frequency. P. Ʋaucheri Highly variable. All parts of the dorsum used in dorsal images, various parts of the head (but frequently snout and throat combined) used in head lateral images. P. Ʋirescens Highly variable. All portions of the dorsum used in dorsal images, region around and behind the ear more used than in other species for head lateral images.
FIGURES 1–3 in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 1–3. Habitus of Acilius sinensis Peschet, 1915 larva: 1. instar I, lateral view; 2. Instar I, dorsal view; 3. instar II, lateral view. Scale bar = 5 mm.
FIGURES 13–17. Acilius sinensis Peschet, 1915, instar I in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 13–17. Acilius sinensis Peschet, 1915, instar I: 13. mesothoracic leg, anterior surface; 14. mesothoracic leg, posterior surface. 15. abdominal segment VIII, dorsal aspect; 16. abdominal segment VIII, ventral aspect; 17. urogomphus, dorsal aspect. CO, coxa; FE, femur; TA, tarsus; TI, tibia; TR, trochanter. Numbers and lowercase letters refer to primary setae and pores, respectively; * = additional sensilla; spine-like spinulae not represented. Scale bars = 0.2 mm.
FIGURES 4–12. Acilius sinensis Peschet, 1915 in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 4–12. Acilius sinensis Peschet, 1915, head, instar I: 4. head capsule, dorsal aspect; 5. head capsule, ventral aspect; 6. antenna, dorsal aspect; 7. antenna, ventral aspect; 8. maxilla, dorsal aspect; 9. maxilla, ventral aspect; 10. mandible, dorsal aspect; 11. labium, dorsal aspect; 12. labium, ventral aspect. EB, egg bursters; FR, frontoclypeus; gAN, antennal group; gMX, maxillary group; gLA, labial group; LC, lamellae clypeales; PA, parietal; TP, tentorial pits; sp, spinula; * = additional sensilla. Numbers and lowercase letters refer to primary setae and pores, respectively. Scale bars = 0.5 mm (Figs 4–5); 0.1 mm (Figs 6–12).
FIGURES 28–30. 28–29 in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 28–30. 28–29. Adult female of Acilius sinensis Peschet, 1915 from Haba Xueshan; 30. Habitat of A. sinensis larvae and adults in Dahaoping village.
FIGURE 31 in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURE 31. Map of Yunnan province, China with marked records of Acilius sinensis Peschet, 1915. Yellow circles = historical records (<1925); red circles = recent records (2007–2021).
FIGURES 23–27. Acilius sinensis Peschet, 1915 in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 23–27. Acilius sinensis Peschet, 1915, instar III: 23. posterior half of parietal, ventral aspect; 24. antenna, dorsal aspect; 25. maxilla, dorsal aspect; 26. metacoxa and metatrochanter, anterior surface; 27. metacoxa and metatrochanter, posterior surface. Scale bars = 0.2 mm.
Figure scripts and output files from "How well do we understand the Planck feedback?"
<p>Included is a readme file, MATLAB figure scripts, and the output files needed to make figures for Cronin & Dutta, 2023, JAMES.</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.