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13,117 results for “Maps”
Maps 7-8 in The genus Leptostylopsis of Hispaniola (Coleoptera, Cerambycidae, Acanthocinini)
Maps 7-8. Locality records for Leptostylopsis basifulvus Lingafelter & Micheli and Leptostylopsis caliginosus Lingafelter & Micheli in Hispaniola.
Maps 5-6 in The genus Leptostylopsis of Hispaniola (Coleoptera, Cerambycidae, Acanthocinini)
Maps 5-6. Locality records for Leptostylopsis poeyi (Fisher) and Leptostylopsis viridicomus (Fisher) in Hispaniola.
Maps 3-4 in The genus Leptostylopsis of Hispaniola (Coleoptera, Cerambycidae, Acanthocinini)
Maps 3-4. Locality records for Leptostylopsis cristatus (Fisher) and Leptostylopsis milleri (Fisher) in Hispaniola.
Maps 1-2 in The genus Leptostylopsis of Hispaniola (Coleoptera, Cerambycidae, Acanthocinini)
Maps 1-2. Locality records for Leptostylopsis annulipes (Fisher) and Leptostylopsis argentatus (Jacquelin du Val) in Hispaniola.
All atom simulations snapshots and contact maps analysis scripts for SARS-CoV-2002 and SARS-CoV-2 spike proteins with and without ACE2 enzyme
<p><strong>The dataset contains a total of 40 snapshots of the four trajectories (10 snapshots each system = two per replica x 5 replicas/system):</strong></p> <ol> <li>SARS-CoV-2002 spike protein without ACE2</li> <li>SARS-CoV-2 spike protein without ACE2</li> <li>SARS-CoV-2002 spike protein with ACE2</li> <li>SARS-CoV-2 spike protein with ACE2</li> </ol> <p>Molecular dynamics simulation trajectories (320ns each) have been performed using the Amber ff14SB force field running with the Amber18 package at the the NSF-funded (OAC-1826915, OAC-1828163) ELSA high performance computing cluster at The College of New Jersey. Under the following simulation methodology:</p> <p><em>All-atom simulations were carried out with Amber18 (<a href="https://slack-redir.net/link?url=http%3A%2F%2Fambermd.org">ambermd.org</a>), and system components (protein, ions, water) were modeled with the included FF14SB and TIP3P parameter sets. Energy minimization used CPU pmemd, while later simulation stages used GPU pmemd. CoV2 and CoV1 systems with one RBD up (with/without ACE2) were solvated in 12 angstrom water shells. Cysteine residues identified in the initial models as having a disulfide bond (DB) were bonded using tLeap. All simulations used 0.150 M NaCl. Hydrogen mass repartitioning was applied only to the protein to enable a 4 fs timestep (<a href="https://slack-redir.net/link?url=https%3A%2F%2Fpubs.acs.org%2Fdoi%2Fabs%2F10.1021%2Fct5010406">https://pubs.acs.org/doi/abs/10.1021/ct5010406</a>). The SHAKE algorithm was applied to hydrogens, and a real-space cutoff of 8 angstroms was used. Periodic boundary conditions were applied and PME was used for long-range electrostatics. Minimization was by steepest descent (2000 steps) followed by conjugate gradient (3000 steps). Heating used two stages: (1) NVT heating from 0 K to 100 K (50 ps), and (2) NPT heating from 100 K to 300 K (100 ps). Restraints of 10 kcal mol<sup>-1</sup> angstrom<sup>-2</sup> were applied during minimization and heating to C-alpha atoms. During 6 ns of equilibration at 300 K C-alpha restraints were gradually reduced from 10 kcal mol<sup>-1</sup> angstrom<sup>-2</sup> to 0.1 kcal mol<sup>-1</sup> angstrom<sup>-2</sup>. Finally, restraints were released and 320 ns unrestrained production simulations were carried out for CoV2 and CoV1 systems. Production simulations began from the final equilibrated snapshots, and five copies of each system were simulated. As unrestrained systems can freely rotate we monitored simulations for any close contacts and found that in one copy of the CoV1 simulation without ACE2 and one RBD up that a few contacts close to 8 angstrom occur near the end of the 320 ns between the RBD and a different subdomain of the spike complex in a periodic image. However this did not influence analyzed structural properties which is verified by comparing results across simulations. The Monte Carlo barostat was used to maintain pressure (1 atm), and the Langevin thermostat was used to maintain 300 K temperature (collision frequency 1 ps<sup>-1</sup>), as implemented in Amber18. In aggregate, nearly 7 microseconds of simulation of systems ranging from 396,147 to 879,100 atoms was carried out for this work.</em><br> For further details on the trajectories, please contact Joseph Baker (bakerj@tcnj.edu).</p> <p><strong>Regarding the contact map analysis scripts (contactMaps_Analysis.tar.gz), they contain the following workflow:</strong></p> <p>contactmap --> source files from contact_map executable<br> process_nc.sh --> convert raw data from all-atom simulation to numbered PDB files and get the contact maps<br> frequency.lua --> read a set of PDB files and output the frequency count for each contact<br> consensus.fasta --> align sequence of Covid19 and SARS from Chimera<br> consensus.lua --> read data previously generated and compute the frequency per residue, among other things.<br> consensus.sh --> input information to consensus.lua<br> consensus.gp --> gnuplot script to plot figures</p> <p>This dataset and the code is part of tripartite collaboration between:</p> <ul> <li>The Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (supported by the National Science Centre, Poland, under grant No. 2017/26/D/NZ1/0046)</li> <li>Department of Chemistry, The College of New Jersey, New Jersey, United States (supported by National Science Foundation under grant numbers OAC-1826915 and OAC-1828163).</li> <li>Jozef Stefan Institute, Ljubljana, Slovenia (supported by the Slovenian Research Agency (Funding No. P1-0055)).</li> </ul>
Map 1 in On two sibling Lathys species (Araneae, Dictynidae) from northern Europe
Map 1. Distribution of Lathys humilis (dot) and L. nielseni (square). A square and a circle refer to areas where both species have been found. Some dots and two squares (Germany, Switzerland) refer to state records. An open dot and square refer to a questionable record. Diamonds refer to doubtful records of L. humilis that may relate either to L. nielseni or L. annulata. Specimens from localities east of the broken line have been studied by us (except for questionable records).
Fig 6. Distribution maps. A in Kryptonesticus deelemanae gen. et sp. nov. (Araneae, Nesticidae), with notes on the Mediterranean cave species
Fig 6. Distribution maps. A. Map of Biokovo Mt with distribution of Kryptonesticus deelemanae gen. et sp. nov. B. Map with distributions of K. deelemanae gen. et sp. nov., K. fagei (Kratochvíl, 1933) and K. arenstorffi (Kulczyński, 1914). Marked is the town of Trebinje, near the type locality for K. arenstorffi, and also the towns of Mostar and Jablanica, between which is Čudna jama, a dubious record for K. arenstorffi. Also marked is Cetinjska pećina, the southernmost locality for K. arenstorffi.
Locally Injective Mappings Benchmark
<p>We are glad to release the benchmark dataset of 2D/3D meshes in our Siggraph 2020 paper <a href="https://duxingyi-charles.github.io/publication/lifting-simplices-to-find-injectivity/">Lifting Simplices to Find Injectivity</a> The dataset collects challenging examples from recent papers on fixed boundary injective mappings. It also includes hundreds of newly created examples. The dataset includes <em>10743</em> triangular mesh examples and <em>904</em> tetrahedral mesh examples. The examples are divided into 3 categories, 2D parameterization, 3D parameterization and 3D deformation.</p> <p>We hope that our dataset offers a benchmark for future research in this area.</p> <p>A more detailed introduction to the dataset can be find <a href="https://github.com/duxingyi-charles/Locally-Injective-Mappings-Benchmark">here</a>.</p>
Figs 50–53. Distribution maps. — 50. Belbina nympha. 51. B. pionneaui. 52. B. recurva. 53. B in Revision of the Malagasy lanternfly genus Belbina Stål, 1863, with two new species (Hemiptera: Fulgoromorpha: Fulgoridae)
Figs 50–53. Distribution maps. — 50. Belbina nympha. 51. B. pionneaui. 52. B. recurva. 53. B. servillei.
Figs 46–49. Distribution maps. — 46. Belbina bergrothi, B. bloetei and B. madagascariensis. 47. B in Revision of the Malagasy lanternfly genus Belbina Stål, 1863, with two new species (Hemiptera: Fulgoromorpha: Fulgoridae)
Figs 46–49. Distribution maps. — 46. Belbina bergrothi, B. bloetei and B. madagascariensis. 47. B. bourgoini sp. nov., B. falleni and B. foliacea. 48. B. laetitiae sp. nov. 49. B. lambertoni.
Fig. 20. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 20. Distribution maps. A. Enicospilus inflexus (Ratzeburg, 1844). B. E. undulatus (Gravenhorst, 1829).
Fig. 19. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 19. Distribution maps. A. Enicospilus merdarius (Gravenhorst, 1829). B. E. repentinus (Holmgren, 1860).
Fig. 18. Distribution maps. A in The British species of Enicospilus (Hymenoptera: Ichneumonidae: Ophioninae)
Fig. 18. Distribution maps. A. Enicospilus adustus (Haller, 1885). B. E. cerebrator Aubert, 1966. C. E. combustus (Gravenhorst, 1829). D. E. myricae sp. nov. E. E. ramidulus (Linnaeus, 1758).
Togo Cropland Map and Labeled Dataset
<p>This dataset provides a 10 m resolution map of cropland in Togo (togo_cropland_2019.zip). Each pixel represents a posterior probability (ranging 0 to 1) that the pixel contains crops, predicted using an LSTM classifier and multi-spectral time series of Sentinel-2 satellite observations. For more details on the method, please see Kerner and Tseng, et al. (full reference below).</p> <p>This dataset also provides the hand-labeled polygons used for training (crop_merged_v2.zi, noncrop_merged_v2.zip) and testing (togo_test_majority.zip) the model, which were created by experts based on photointerpretation of high-resolution imagery (primarily SkySat and PlanetScope) in QGIS and Google Earth Pro.</p> <p>If you use any part of this dataset, please cite the following paper: Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, and Mehdi Hosseini. 2020. Rapid Response Crop Maps in Data Sparse Regions. In review for <em>KDD ’20: ACMSIGKDD Conference on Knowledge Discovery and Data Mining Workshops</em>, August 22–27, 2020, San Diego, CA. </p>
Sea Surface Height (SSH) maps for the California Current System, Jan-May 2018
<p>This is a dataset in netCDF format comprising daily sea surface height maps in the California Current system during between Jan-May 2018, produced by AVISO and 2DVAR, described and analyzed in the research paper:</p> <p>Archer, M., Li, Z., & Fu, L.‐L. (2020). Increasing the space‐time resolution of mapped sea surface height from altimetry. <em>Journal of Geophysical Research: Oceans</em>, 125, e2019JC015878. <a href="https://doi.org/10.1029/2019JC015878">https://doi.org/10.1029/2019JC015878</a></p> <p>Please see metadata and/or paper for more details. </p>
Fig. 45. Distribution maps. A–B in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 45. Distribution maps. A–B. Neoromicia somalica (Thomas, 1901). C–D. Neoromicia tenuipinnis (Peters, 1872). E–F. Neoromicia zuluensis (Roberts, 1924). A, C, E. Distribution in the CRB area. B, D, F. Pan-African distribution.
Fig. 42. Distribution maps. A–B. Laephotis angolensis Monard, 1935. C–D. Laephotis botswanae Setzer, 1971. E–F in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 42. Distribution maps. A–B. Laephotis angolensis Monard, 1935. C–D. Laephotis botswanae Setzer, 1971. E–F. Mimetillus moloneyi (Thomas, 1891). A, C, E. Distribution in the CRB area. B, D, F. Pan-African distribution.
Fig. 41. Distribution maps. A–B in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 41. Distribution maps. A–B. Hypsugo crassulus (Thomas, 1904). C–D. Hypsugo cf. eisentrauti (Hill, 1968). E–F. Hypsugo musciculus (Thomas, 1913). A, C, E. Distribution in the CRB area. B, D, F. Pan-African distribution.
Fig. 38. Distribution maps. A–B. Glauconycteris alboguttata J.A. Allen, 1917. C–D in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 38. Distribution maps. A–B. Glauconycteris alboguttata J.A. Allen, 1917. C–D. Glauconycteris argentata (Dobson, 1875). E–F. Glauconycteris beatrix Thomas, 1901. A, C, E. Distribution in the CRB area. B, D, F. Pan-African distribution.
Fig. 36. Distribution maps. A–B in The bats of the Congo and of Rwanda and Burundi revisited (Mammalia: Chiroptera)
Fig. 36. Distribution maps. A–B. Myotis tricolor (Temminck, 1832). C–D. Myotis welwitschii (Gray, 1866). E–F. Scotophilus dinganii (A. Smith, 1833). A, C, E. Distribution in the CRB area. B, D, F. Pan- African distribution.
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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.