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12,393 results for “Materiality”
FIGURE 3. Jurodes ignoramus Ponomarenko, 1985 interpretative line drawings. A and B, Holotype. C and D, Paratype. E–G in Jurodidae (Coleoptera: Archostemata) from Transbaikalia: new findings and redescription of type material
FIGURE 3. Jurodes ignoramus Ponomarenko, 1985 interpretative line drawings. A and B, Holotype. C and D, Paratype. E–G, Original line drawings of the holotype from Ponomarenko, 1985 with minor changes. H, Details of holotype's head. I, Details of holotype's pronotum. K and J, Specimens from Khasurty locality. Abbreviations: alc, alacrista; an.cl, anapleural cleft; ant.g, antennal groove; ant.s, antennal socket; c.e, compound eye; clp, clypeus; cx3, metacoxae; em3, metepimeron; epl, epipleuron; eps2, mesanepisternum; es3, metanepisternum; fm1,2,3, pro-, meso-, metafemur; gen, genae; lbr, labrum; lts, laterosternite; md.p, pronotal median protuberance; P2, supraocular protuberance; P3, posteromesal protuberance; P4, posterolateral protuberance; po.e, postocular extension; ppl, propleuron; SIII, third abdominal sternite; sc2, mesoscutum; scl2, mesoscutellum; s.prc, paracoxal suture; TIX-X, abdominal tergites; tb1, protibia; tr1,2,3, pro- meso-, metatrochantin; trc1, protrochanter; v2, mesoventrite. All scale bars are equal to 1 mm.
FIGURE 5. Jurodes minor Ponomarenko, 1990 interpretative line drawings. A and B, Holotype. C and D in Jurodidae (Coleoptera: Archostemata) from Transbaikalia: new findings and redescription of type material
FIGURE 5. Jurodes minor Ponomarenko, 1990 interpretative line drawings. A and B, Holotype. C and D, Original line drawings of the holotype from Ponomarenko, 1990 with minor changes. E, Details of paratype's PIN, 3063/115 head. F–H, Paratypes PIN, 3063/115, 3063/1770 parts and counterparts, hindwings. I, Details of paratype's PIN, 3015/372 metathorax and abdomen. J, Paratype PIN, 3063/115. K, Paratype PIN, 3063/1262, metaventrite. L, Paratype PIN, 3015/365. Abbreviations: 11, apical antennomere; AA, anal vein; aed, aedeagus; alc, alacrista; an.cl, anapleural cleft; ant, antennae; ant.g, antennal groove; apm, apical membrane; C+ScA, costa fused with subcosta anterior; clp, clypeus; CuA, cubitus anterior; CuA2, cubitus anterior, second branch; cx3, metacoxae; em3, metepimeron; es3, metanepisternum; lbr, labrum; md.p, median protuberance; mpn3, metapostnotum; msi, median scutal impression; o, oblongum cell; P3, posteromesal protuberance; P4, posterolateral protuberance; po.e, postocular extension; RA, radius anterior; rc, radial cell; sc2, 3, meso- and metascutum; scl2, mesoscutellum; ScP, subcostal posterior; s.prc, paracoxal sutures; s.scl3, metathoracic scutoscutellar suture; TI-VIII, abdominal tergites; tb2, mesotibia; tr3, metatrochantin; trh3, metatrochanter. Figures G and H are given with the single scale bar. Scale bars = 1 mm.
FIGURE 4. Jurodes minor Ponomarenko, 1990. A and B in Jurodidae (Coleoptera: Archostemata) from Transbaikalia: new findings and redescription of type material
FIGURE 4. Jurodes minor Ponomarenko, 1990. A and B, Holotype part and counterpart PIN, 3015/1254, wetted with 96% ethanol. C and J, Paratype PIN, 3063/115 head and antennae and full body, wetted with 96% ethanol. D, F, H, Paratypes PIN, 3063/115, 3063/1770 parts and counterparts, hindwings wetted with 96% ethanol. Е, Paratype PIN, 3015/372 metathorax and abdomen, wetted with 96% ethanol. G and I, Material from Khasurty locality 5026/956 part and counterpart. K, Paratype PIN, 3015/365. L, Paratype PIN, 3063/1262, metaventrite. А and H are mirrored. Scale bars = 1 mm.
FIGURE 1. Jurodes ignoramus Ponomarenko, 1985. A in Jurodidae (Coleoptera: Archostemata) from Transbaikalia: new findings and redescription of type material
FIGURE 1. Jurodes ignoramus Ponomarenko, 1985. A, Holotype PIN, 3000/908 wetted with 96% ethanol. B, Holotype, counterpart wetted with 96% ethanol. C and D, Paratype PIN, 3000/911 part and counterpart. Scale bars = 1 mm.
Supplementary materials used for the research to predict phase separation in protein chains
<p>This is a collection of all the data, codes and metadata that were used for the research titled: 'Sequence based prediction of protein phase separation into disordered condensates using machine learning'.</p>
Supplementary material 1 from: Farikou PO, Christophe P, Bertrand SNP, Hubert ZTS (2021) Distribution of Stenasellidae in Africa and description of a new species of Metastenasellus from Cameroonian groundwaters. Subterranean Biology 40: 175-194. https://doi.org/10.3897/subtbiol.40.76301
List ot sampling sites with ot without Metastenasellus boutini in the area arround the type locality
Supplementary material 2 from: Cook RT, Ward SF, Liebhold AM, Fei S (2021) Spatial dynamics of spotted lanternfly, Lycorma delicatula, invasion of the Northeastern United States. NeoBiota 70: 23-42. https://doi.org/10.3897/neobiota.70.67950
Figure S2. Distributions of anthropogenic predictor variables used in Cox proportional hazards moder development
Supplementary material 1 from: Trégarot E, Failler P (2021) Adequacy of ecosystem services assessment tools and approaches to current policy needs and gaps in the European Union Overseas entities. One Ecosystem 6: e74170. https://doi.org/10.3897/oneeco.6.e74170
Selection of MAES tools and approaches to facilitate the uptake of Ecosystem Services in EU Overseas entities
Table e-1: Supplementary materials for association of dementia-related psychosis with long-term care use and death
<p>International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification codes for dementia, codes used to define exclusions for conditions potentially associated with psychosis, codes for manifestations of psychosis used to establish presence of dementia-related psychosis, and antipsychotic medications.</p> <p>The dataset is a collection of ICD-9 and -10 codes usedd to define exclusions for conditions potentially associated with psychosis, codes for manifestations of psychosis used to establish presence of dementia-related psychosis, and antipsychotic medications used in the analysis of the attached manuscript.</p> <p>Data in this table was used to conduct the analyses presented in the manuscript.</p>
Data from: Deep learning unlocks X‐ray microtomography segmentation of multiclass microdamage in heterogeneous materials
<p>Four-dimensional quantitative characterization of heterogeneous materials using <i>in situ</i> synchrotron radiation computed tomography can reveal 3D sub-micron features, particularly damage, evolving under load, leading to improved materials. However, dataset size and complexity increasingly require time-intensive and subjective semi-automatic segmentations. Here, we present the first deep learning (DL) convolutional neural network (CNN) segmentation of multiclass microscale damage in heterogeneous bulk materials, teaching on advanced aerospace-grade composite damage using ≈65,000 (trained) human-segmented tomograms. The trained CNN machine segments complex and sparse (<<1% of volume) composite damage classes to ≈99.99% agreement, unlocking both objectivity and efficiency, with nearly 100% of the human time eliminated, which traditional rule-based algorithms do not approach. The trained machine is found to perform as well or better than the human due to 'machine-discovered' human segmentation error, with machine improvements manifesting primarily as new damage discovery and segmentation augmentation/extension in artifact-rich tomograms. Interrogating a high-level network hyperparametric space on two material configurations, we find DL to be a disruptive approach to quantitative structure-property characterization, enabling high-throughput knowledge creation (accelerated by two orders of magnitude) via generalizable, ultra-high-resolution feature segmentation.</p>
Supplementary material 1 from: Muraro M, Romagnoli S, Barzaghi B, Falaschi M, Manenti R, Ficetola GF (2021) Invasive predators induce plastic and adaptive responses during embryo development in a threatened frog. NeoBiota 70: 69-86. https://doi.org/10.3897/neobiota.70.65454
Geographic coordinates of the monitored sites and the significance of the independent variables in the three parental investment mixed models.
Raw data for the HiTIMe deliverable 1.3. - deliver material with magnetic dopants
<p>Raw data for the HiTIMe deliverable 1.3. - TEM, SEM, AFM images, EDS spectra </p>
FIGURES 1–7. 1 in Studies on type material from Kützing's diatom collection VI:The identity of Diatoma liber Suhr (1831)
FIGURES 1–7. 1. Reproduction of Suhr's original figure for Diatoma liber (in Suhr 1834, 17 (1), tab. III, fig. 4; Suhr's illustrations have no scale, the reproduction here is approximately the same size as that in the original, see https://www.biodiversitylibrary.org/page/ 31440#page/, also not to scale). 2–6. Specimens of Diatoma liber from BM 19390 ('Kützing 823', "Ins Canar.", Canary Islands). 7. Reproduction of Kützing's figures for Biddulphia quinquelocularis (in Kützing 1844, p. 138, pl. 19, fig. I, 1, 2). Scale bars: ca. 20 μm.
FIGURES 20–21. 20 in Studies on type material from Kützing's diatom collection VI:The identity of Diatoma liber Suhr (1831)
FIGURES 20–21. 20. Fragments of 'Biddulphia dalmatica' (?) from mica 'Kützing 822', "Adriatic, Dalmatica, Croatia". 21. A specimen of 'Diatoma maculosa Suhr' from BM 17984 ('Kützing 760', "Süd Occidentalis, Binder"). Scale bars: ca. 20 μm.
FIGURES 13–19. 13–16 in Studies on type material from Kützing's diatom collection VI:The identity of Diatoma liber Suhr (1831)
FIGURES 13–19. 13–16. Specimens of Biddulphia quinquelocularis from BM 19393 ('Kützing 1180', "Iles Chausey, France [Lenormand]). 17–19. Specimens of Biddulphia quinquelocularis from BM 19388 ('Kützing 934', "Lessina, Nolte [Germany]"). Scale bars: ca. 20 μm.
FIGURES 25–26. 25 in Studies on type material from Kützing's diatom collection VI:The identity of Diatoma liber Suhr (1831)
FIGURES 25–26. 25. Packet 'Kützing 823' ("Ins Canar.", Canary Islands). 26. Packet of material from Bory's herbarium in PC of Diatoma liber (TA 58393).
FIGURES 22–24. 22 in Studies on type material from Kützing's diatom collection VI:The identity of Diatoma liber Suhr (1831)
FIGURES 22–24. 22. Reproduction of Kützing's drawing of Biddulphia trilocularis (Kützing 1844, p. 138, pl. 29, fig. 89), possibly a reproduction or re-drawing of Ehrenberg's Denticella biddulphia (compare with Figs 23 and 24). 23, 24. Reproduction of Ehrenberg's Denticella biddulphia (Ehrenberg 1843, Taf. II, vi, fig. 19, 'Cuba', Fig. 23 = published drawing, Fig. 24 = unpublished drawing; none of the original illustrations have scales, the reproductions here are approximately the same size as that in the original)
Supplementary material 9 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Figure S4. Maximum Clade Credibility (MCC) tree from Bayesian analysis using the ITS2 DNA barcode marker with posterior probabilities values in percentage that are shown at nodes
Supplementary material 1 from: Szwarc A, Martens K, Namiotko T (2021) Two new Cypridopsinae Kaufmann, 1900 (Crustacea, Ostracoda) from southern Africa. ZooKeys 1076: 83-107. https://doi.org/10.3897/zookeys.1076.76123
Pictures of the sites from where new species Potamocypris meissneri sp. nov. and Sarscypridopsis harundineti sp. nov. were collected
Supplementary material 10 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086
Figure S5. Maximum Clade Credibility (MCC) tree from Bayesian analysis using the trnH-psbA DNA barcode marker with posterior probabilities values in percentage that are shown at nodes.
ScienceDex guides
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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.