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13,117 results for “Maps”
FIGURE 3 in Hidden in the dry woods: Mapping the collection history and distribution of Gymnanthes boticario, a well-collected but very recently described species restricted to the dry vegetation of South America
FIGURE 3. Number of duplicates of Gymnanthes boticario available in the consulted herbaria up to 2010, when the species was described
PyGEDM pre-computed maps of Galactic electron density models
<p>Pre-computed HDF5 data cubes for <a href="https://github.com/FRBs/pygedm">PyGEDM</a> web app.</p> <p>Datasets in HDF5 file:</p> <p>Dimension scales distance (pc), DM (pc/cm3), galactic latitude and galactic longitude (deg).</p> <pre>[('dist', <HDF5 dataset "dist": shape (10,), type "<i8">), ('dm', <HDF5 dataset "dm": shape (12,), type "<i8">), ('gb', <HDF5 dataset "gb": shape (361,), type "<f8">), ('gl', <HDF5 dataset "gl": shape (721,), type "<f8">), gl = np.linspace(-180, 180, 360*2+1) gb = np.linspace(-90, 90, 180*2+1) dist = np.array((0.1, 0.2, 0.5, 1, 2, 5, 8.5, 10, 20, 50)) dm = np.array((1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000)) Galactocentric coordinates XYZ (pc): ('x', <HDF5 dataset "x": shape (100,), type "<i8">), ('y', <HDF5 dataset "y": shape (100,), type "<i8">), ('z', <HDF5 dataset "z": shape (100,), type "<i8">)]</pre> <p>NE2001 model precomputed datasets:</p> <pre> ('ne2001', <HDF5 group "/ne2001" (5 members)>),</pre> <pre>[('ddm', <HDF5 dataset "ddm": shape (12, 361, 721), type "<f8">), ('ddm_tau', <HDF5 dataset "ddm_tau": shape (12, 361, 721), type "<f8">), ('dmd', <HDF5 dataset "dmd": shape (10, 361, 721), type "<f8">), ('dmd_tau', <HDF5 dataset "dmd_tau": shape (10, 361, 721), type "<f8">), ('xyz', <HDF5 dataset "xyz": shape (100, 100, 100), type "<f8">)] YMW16 precomputed datasets: ('ymw16', <HDF5 group "/ymw16" (5 members)>),</pre> <pre>[('ddm', <HDF5 dataset "ddm": shape (12, 361, 721), type "<f8">), ('ddm_tau', <HDF5 dataset "ddm_tau": shape (12, 361, 721), type "<f8">), ('dmd', <HDF5 dataset "dmd": shape (10, 361, 721), type "<f8">), ('dmd_tau', <HDF5 dataset "dmd_tau": shape (10, 361, 721), type "<f8">), ('xyz', <HDF5 dataset "xyz": shape (100, 100, 100), type "<f8">)]</pre>
FIGURE 3. Physalis victoriana. A. Distribution map. B in Physalis victoriana (Solanaceae) a new species from Northern Argentina
FIGURE 3. Physalis victoriana. A. Distribution map. B. Habitat in northwestern Argentina (by J. M. Toledo).
Mapping circuit dynamics during function and dysfunction
<p>Contains reduced data for analysis. Most scripts that make figures will operate on these data.</p>
MAP 1 in On the subgenus Eurysunius Reitter of Turkey VII. Four new species from central Anatolia, and additional records (Coleoptera: Staphylinidae: Paederinae Astenus)
MAP 1. Distribution of Astenus (Eurysunius) species in Turkey: A. bicoloratus Assing, 2002 (large filled circle), A. brachati Assing, 2011 (large filled triangle), A. goeki Anlaş, 2017 (large open triangle), A. gultekini sp. n (large filled inverted triangle), A. gusarovi Anlaş, 2015 (large open square), A. honazicus Anlaş, 2015 (small filled triangles), A. ilgazi Anlaş, 2016 (small filled squares), A. kirani sp. n (open crosses), A. kociani Assing, 2015 (large filled square), A. kumlutasi Anlaş, 2015 (small open inverted triangles), A. melendizicus Anlaş, 2018 (large open circle), A. neseti sp. n (large open inverted triangle), A. occiduus Assing, 2007 (small hexagons), A. orgeli Anlaş, 2015 (small filled circles), A. paphlagonicus Assing, 2002 (small open squares), A. pelinae Anlaş, 2019 (open stars), A. rhodicus Assing, 2013 (filled cross), A. sandiklicus Anlaş, 2014 (small open triangles), A. sexsetosus Assing, 2002 (large filled hexagon), A. sivasicus Anlaş, 2019 (small filled inverted triangles), A. sultanicus Assing, 2010 (filled stars), A. veyseli sp. n (small open circles).
FIGURE 2. Morphological characters mapped onto a 95 in Revised circumscription of Nothofagus and recognition of the segregate genera Fuscospora, Lophozonia, and Trisyngyne (Nothofagaceae)
FIGURE 2. Morphological characters mapped onto a 95% bootstrap consensus tree, derived from Sauquet et al. (2012) (Analysis 2) for Fuscospora (Nothofagus subgenus Fuscospora), Lophozonia (Nothofagus subgenus Lophozonia), Nothofagus (Nothofagus subgenus Nothofagus), and Trisyngyne (Nothofagus subgenus Brassospora).
Inclusion and Exclusion Criteria in Software Engineering Tertiary Studies: A Systematic Mapping and Emerging Framework - Replication Package
<p>Replication Package for the paper:</p> <p>D. Costal, C. Farré, X. Franch, C. Quer. 2021. Inclusion and Exclusion Criteria in Software Engineering Tertiary<br> Studies: A Systematic Mapping and Emerging Framework. ESEM '21, <a href="https://doi.org/10.1145/3475716.3484190">https://doi.org/10.1145/3475716.3484190</a></p> <p>Please refer to the above paper if you want to cite/use this data.</p>
MAP 5 in The goblin spider genus Xyphinus (Araneae; Oonopidae)
MAP 5. Records of X. baehrae sp. nov. (triangles) and X. distortus sp. nov. (circles). Map in small frame shows records of X. baehrae sp. nov. in India.
MAP 4 in The goblin spider genus Xyphinus (Araneae; Oonopidae)
MAP 4. Records of X. infaustus sp. nov. (star), X. rogerfedereri sp. nov. (triangles), X. pachara sp. nov. (circle) and X. karschi (squares).
MAP 2 in The goblin spider genus Xyphinus (Araneae; Oonopidae)
MAP 2. Records of X. montanus (triangles), X. xanthus (circle), X. xelo (square) and X. holgeri sp. nov. (stars).
MAP 3 in The goblin spider genus Xyphinus (Araneae; Oonopidae)
MAP 3. Records of X. deelemanae sp. nov. (star), X. acutus sp. nov. (triangles), X. sabal sp. nov. (circle) and X. krabi sp. nov. (squares).
MAP 1 in The goblin spider genus Xyphinus (Araneae; Oonopidae)
MAP 1. Records of X. hystrix (triangles), X. abanghamidi (circles), X. gibber (squares) and X. lemniscatus (stars).
Crop mapping data
<p>Images of different crops in the study area </p>
FIGURE 3. Senecio magellanicus Hook. & Arn. 1. Distribution map. 2 in New typifications and synonyms in Senecio ser. Culcitium and related taxa (Asteraceae, Senecioneae)
FIGURE 3. Senecio magellanicus Hook. & Arn. 1. Distribution map. 2. Foliar variability: A. TBPA 3214 (left one), 3298 (two at right) (SI), B. Darwin 367 (K, lectotype of S. magellanicus), C. Bonarelli s.n (SI), D. Lechler 1244 (P, holotype of S. vaginifolius), E. Inter pat. 963 (SI), F. Dusén s.n. (CORD, lectotype of Culcitium tenellum), G. TBPA 2835 (SI). Scale bar = 1 cm.
FIGURE 1. Senecio aspleniifolius Griseb. 1. Distribution map. 2 in New typifications and synonyms in Senecio ser. Culcitium and related taxa (Asteraceae, Senecioneae)
FIGURE 1. Senecio aspleniifolius Griseb. 1. Distribution map. 2. Foliar variability: A. Schickendantz 326 (GOET, holotype of S. aspleniifolius), B. Salomón 253 (SI), C. Sleumer 2719 (LP), D. Gómez-Sosa 210 (SI), E. Lillo 7421 (LP, holotype of S. roripifolius). Scale bar = 1cm.
Supplemental videos for "Composition and decomposition of visuomotor maps during manual tracking", by Bernier et al.,
<p>The videos depict representative trials in Baseline, as well as for the first (1) and last (50) trials of each mapping.</p>
X-ray CT and MAPS data of Hot-dry rock
<p>These multiple scanning experiment image can be used to construct multi-scale multi component digital rock.</p>
Cognitive maps in the wild: Revealing the use of metric information in black howler monkeys' route navigation
<p>When navigating, wild animals rely on internal representations of the external world to take movement decisions – called "cognitive maps". As a rule, flexible navigation is hypothesized to be supported by sophisticated spatial skills (i.e., Euclidean cognitive maps); however, constrained movements along habitual routes is the most commonly reported navigation strategy. Even though incorporating metric information (i.e., distances and angles between locations) in route-based cognitive maps would likely enhance an animal's navigation efficiency, there has been no evidence of this strategy reported for non-human animals to date. Here, we examine the properties of the cognitive map used by a wild population of primates by testing a series of cognitive hypotheses against spatially-explicit movement simulations. We collected 3104 hours of ranging and behavioural data on five groups of black howler monkeys (<i>Alouatta pigra</i>) at Palenque National Park, Mexico, from September 2016 through August 2017. We simulated correlated-random walks mimicking the ranging behaviour of the study subjects and tested for differences between observed and simulated movement patterns. Our results indicated that black howler monkeys engaged in constrained movement patterns characterized by a high path recursion tendency, which limited their capacity to travel in straight lines and approach feeding trees from multiple directions. In addition, we found that the structure of observed route networks was more complex and efficient than simulated route networks, suggesting that black howler monkeys incorporate metric information into their cognitive map. Our findings not only expand the use of metric information during route navigation to non-human animals but also highlight the importance of considering efficient route-based navigation as a cognitively demanding mechanism.</p>
Mapping GPIIb/IIIa on murine blood platelets with expansion microscopy
<p><strong>Mapping GPIIb/IIIa on murine blood platelets with expansion microscopy</strong></p> <p>We visualize the membrane architecture of platelets by mapping platelet integrin GPIIb/IIIa by super-resolution fluorescence. Our approach combines colocalization and expansion microscopy and successfully interrogates highly abundant receptors and their interactions where conventional methods fail in such dense 3D scenarios (https://doi.org/10.1101/2021.02.16.431449)</p> <p>Here we provide a s<em>election of typical images</em> of receptor distributions on unexpanded and expanded murine platelets, the <em>code</em> for simulation of platelet receptor distributions including a <em>user manual </em>and a <em>video protocol </em>of 10x expansion microscopy with resting platelets.</p> <p><strong>Sample images: </strong></p> <p>Unexpanded, 4x expanded and 10x expanded resting murine platelets on glycine coated coverslips were imaged on a SP5 confocal microscope (detailed methods can be found in the manuscript).</p> <p>There are three different labeling combinations:</p> <ul> <li>Case I: directly immunolabeled with monoclonal antibodies antibodies carrying Alexa Fluor 488 (MWReg30, green channel) or Alexa Fluor 594 (JON6, magenta channel) can bind simultaneously on the same GPIIb/IIIa receptor -> high colocalization</li> <li>Case II: directly immunolabeled with a monoclonal antibody targeting GPIIb/IIIa (MWReg30) carrying either Alexa Fluor 594 or Alexa Fluor 488) -> low colocalizaiton</li> <li>Case III: directly immunolabeld with monoclonal antibodies carrying Alexa Fluor 488 targeting GPIIb/IIIa (JON6) and carrying Alexa Fluor 594 targeting GPIX (p0p6) -> low colocalization</li> </ul> <p>The provided sample images are .ims (Imaris) files contain the raw data, chromatic aberration corrected data & deconvolved data as consecutive time points, as well as the cropped image stack of a single platelet with the masked data used for colocalization analysis.</p> <p><strong>MatLab Scipts: 3D-Image simulation of Platelet Receptor Distributions</strong></p> <p>The provided MatLab scripts allow to create 2-color, 3D image stacks based on simulated platelet receptor distributions and the image resolution provided by confocal microscopy and sample expansion. Refer to the user manual for a detailed description of how to set up and run the simulation.</p> <p><strong>Video Protocol:</strong> <strong>10x expansion microscopy with resting platelets.</strong></p> <p>The provided video protocol describes the sample preperation for 10x expansion microscopy of resting platelets, including platelet washing, immunolabeling, gelation, digestion, expansion and sample mounting for imaging. Detailed step by step protocols are also provided in the supplementary material (https://doi.org/10.1101/2021.02.16.431449).</p>
Figure 6. Cyclostome protoecial pseudopore patterns mapped onto a in Ancestrular morphology in cyclostome bryozoans and the quest for phylogenetically informative skeletal characters
Figure 6. Cyclostome protoecial pseudopore patterns mapped onto a molecular phylogeny. Numbers correspond to the patterns defined in the text (no species of Pattern 2 have been sequenced to date). Brackets signify that the pattern has been observed in a congener of the sequenced species and 'iw' an interior walled protoecium, which cannot have pseudopores. Diagrammatic figures of the patterns are shown next to the pattern numbers. Pattern 1 has been assigned to sequenced Crisia spp. based upon observations of a congener (Crisia eburnea) from the literature (Nielsen 1970; Silén 1977). The outgroup taxon for this phylogeny, based on Taylor, Waeschenbach, et al. (2015), is the phylactolaemate Pectinatella magnifica which lacks a mineralized skeleton and therefore a protoecium. Tree topology generated from Bayesian analysis of a concatenated lsrDNA and ssrDNA dataset. All nodes with <0.95 posterior probability were collapsed. See Taylor, Waeschenbach, et al. (2015) for full details.
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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.