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13,117 results for “Maps”
Fig. 3. A. Map with localities from which the herein studied specimens originated. B in Taxonomy and ontogeny of the Lituitida (Cephalopoda) from Orthoceratite Limestone erratics (Middle Ordovician)
Fig. 3. A. Map with localities from which the herein studied specimens originated. B. Localities in north-eastern Germany and western Poland. C. Localities in the Island of Öland (Sweden). Map prepared using the QGIS software (using the open-source World Map, OpenStreetMap and "WISE Large rivers and large lakes F1v1 geodatabase" of the European Environment Agency). Number coding of localities: Norway: 1 – Oslo (former Christiania); Estonia: 2 – Karula (Lääne-Viru County), 3 – Tallinn (former Reval, Harju County); Germany, Berlin: 4 – Schmargendorf, 5 – Tempelhofer Feld; Germany, Brandenburg: 6 – Eberswalde, 7 – Fresdorf, 8 – Gellmersdorf (Angermünde), 9 – Gransee (Ruppin), 10 – Heegermühle, 11 – Hohensaaten, 12 – Joachimsthal, 13 – Karlsröhe (Lichterfelde, Eberswalde), 14 – Kranepuhl, 15 – Niederfinow, 16 – Niederlehme, 17 – Oderberg, 18 – Potsdam, 19 – Ringenwalde, 20 – Schmetzdorf, 21 – Schwedt, 22 – Teschendorf (Löwenberg), 23 – Vierraden (Schwedt), 24 – Werbellinsee, 25 – Werder (Potsdam); Germany, Mecklenburg-Vorpommern: 26 – Bansin (Usedom), 27 – Boltenhagen (Gross Klütz Höved), 28 – Dwasieden (Rügen), 29 – Göhren, 30 – Gross Zicker (Rügen), 31 – Hiddensee Island, 32 – Klütz Höved, 33 – Lansen (Malchin), 34 – Lebbin, 35 – Mukran (Sassnitz, Rügen), 36 – Neu-Ruthenbeck (Parchim), 37 – Rerik, 38 – Röbel, 39 – Usedom, 40 – Ventschow; Germany, Saxony-Anhalt: 41 – Schlagenthin; Poland, Kujawi-Pomerania: 42 – Bydgoszcz (former Bromberg), 43 – Osielsk (Bydgoszcz); Poland, Masovia: 44 – Czerwińsk; Poland, Pomerania: 45 – Juszkowo (former Gischkau), 46 –Skowarcz (former Schönwarling); Poland, Silesia: 47 – Żory (former Sorau); Poland, West Pomerania: 48 – Barnówko (former Berneuchen), 49 – Dewitz Castle (Dobra, former Dewitzburg bei Daber), 50 – Chrząszczewska Island (former Gristow), 51 – Ustronie Morskie (former Henkenhagen); Russia: 52 – Kaliningrad; Sweden, Dalarna: 53 – Fjecka (Boda), 54 – Skattungbyn; Sweden, Öland: 55 – Böda Hamn, 56 – Gärdslösa, 57 – Kårehamn, 58 – Skärlöv, 59 – Tjusby, 60 – Triberga; Sweden, Skåne: 61 – Södra Sandby.
Commodity Dataset | Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform
<p>(Commodity data in raster format) Supplementary materials for “Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform” that had been published on Land MDPI (2020). doi:<a href="https://doi.org/10.3390/land9100377">10.3390/land9100377</a> </p> <p>The data included:</p> <p>1) Raster data of commodity maps (TIFF Compressed in ZIP)</p> <p>2) READ ME for the dataset (DOCX)</p> <p>3) Legend for raster data in ArcGIS Format (LYR)</p> <p> </p>
Gene/Protein BridgeDb ID Mapping Database (Ensembl 104)
<p>Ensembl 104 derived ID mapping database for use with BridgeDb.</p> <p>This work was funded by the <a href="https://fairplus-project.eu/">FAIRplus project</a> (grant agreement no 802750) and <a href="https://www.nwo.nl/en/researchprogrammes/open-science/open-science-fund/open-science-fund-2021-awarded-grants">NWO Open Science Fund</a> (grant no <a href="https://www.nwo.nl/en/projects/203001121">203.001.121</a>).</p>
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae- in New Findings Of White Clawed Crayfish, Austropotamobius Pallipes (Decapoda, Astacidae), And Peculiarities Of Its Spatial Distribution In Neretvica (Bosnia And Herzegovina)
Maps of depths are created for the site of 50 m length. Flow types are turbulent, broken standing waves, unbroken standing waves, and rippled. The average width was 8 m and varied from 5.5 to 12 m. Bed elements included bars, rocks, and step/pools. The average depth was 0.35 m, with a maximum of 0.6 m. The average velocity was 0.4 m/s, with a maximum of 1.2 m/s (figs 10). Distribution of bottom habitats at the locations with the crayfish are as follows: megalital — 5 %, macrolithal — 30 %, mesolithal — 25 %, microlithal — 15 %, psammal — 15 %, CPOM — 10 %. Assessment by hydrobiological parameters showed that the presence of Lyngbya and Oscillatoria, as well as the increase of the number of Oligochae-
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Dataset]
<p>Dataset used for the paper submitted to RO-MAN 2022</p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p>
NBP 2202 data collection map
<p>Full code and dataset for the NBP 2202 map website. Data were collected during Jan-Feb 2022 in the Amundsen sea from the Nathaniel B. Palmer. This is a Python-flask app which displays data in a javascript leaflet map. The contents of this dataset should be all you need to host the website yourself, for local viewing or to make publicly available</p> <p> </p> <p>This upload is a copy of the GitHub repo taken on 24/03/22 with additional satellite data that was too large for git.</p> <p>The github repo can be found here https://github.com/callumrollo/itgc-2022-map/</p> <p> </p> <p>The website is currently maintained at https://nbp2202map.com/</p> <p> </p> <p>All data are publicly available. Locations and information displayed in the map are for convenience purposes only and are not authoritative. Contact the PIS of the International Thwaites Glacier Collaboration (ITGC) for full datasets. This website is the author's personal work and does not reflect the views of the ITGC group. The author has no official affiliation with ITGC.</p> <p><br> </p>
Fig. 1. The Carpathian Exeristes spp. distribution map. Yellow circle — E in A Review Of The Genus Exeristes (Hymenoptera, Ichneumonidae, Pimplinae) From Carpathians, With An Illustrated Key To Western Palearctic Species
Fig. 1. The Carpathian Exeristes spp. distribution map. Yellow circle — E. roborator; red circle — E. longiseta; green circle — E. arundinis.
High resolution maps of climatological parameters for analyzing the impacts of climatic changes on Swiss forests
<p>Assessing the impacts of climatic changes on forests requires the analysis of actual climatology within the forested area. In mountainous areas, climatological indices vary markedly with the micro-relief, i.e. with altitude, slope, and aspect. Consequently, when modelling potential shifts of altitudinal belts in mountainous areas due to climatic changes, maps with a high spatial resolution of the underlying climatological indices are fundamental. Here we present a set of maps of climatological indices with a spatial resolution of 25 by 25 m. The presented dataset consists of maps of the following parameters: average daily temperature high and low in January, April, July, and October as well as of the year; seasonal and annual thermal continentality; first and last freezing day; frost-free vegetation period; relative air humidity; solar radiation; and foehn conditions. The parameters represented in the maps have been selected in a knowledge engineering approach. The maps show the climatology of the periods 1961-1990 and 1981-2010. The data can be used for statistical analyses of forest climatology, for developing tree distribution models, and for assessing the impacts of climatic changes on Swiss forests.</p>
Full Datasets for the "Molecular Mimicry Map of SARS-CoV-2" Web Application
<p>A Full Dataset for the "Molecular Mimicry Map of SARS-CoV-2" Web Application</p> <p>This TAR archive file contains the minimally filtered list of potentially cross-reactive epitopes of SARS-CoV-2 and human proteins predicted by the CRESSP analysis pipeline (<a href="https://pypi.org/project/cressp/">https://pypi.org/project/cressp/</a>).</p> <p>Our web application, "Molecular Mimicry Map of SARS-CoV-2" (<a href="https://ahs2202.github.io/3M/">https://ahs2202.github.io/3M/</a>), only visualizes the high-scoring potential cross-reactive epitope pairs (40,000 epitope pairs maximum). However, for the researchers who want to access the complete list of potentially cross-reactive epitope pairs for further analysis, these full datasets can be used.</p>
Fig. 1. The potential distribution map for B in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 1. The potential distribution map for B. bombina under contemporary climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Fig. 4. The potential distribution map for B. bombina under projected 2050 in Long-Term Bioclimatic Modelling The Distribution Of The Fire-Bellied Toad, Bombina Bombina (Anura, Bombinatoridae), Under The Influence Of Global Climate Change
Fig. 4. The potential distribution map for B. bombina under projected 2050 climatic conditions. The colour gradient represents high (red) to low (green) habitat suitability for the species.
Dataset for map in "Endangered languages in Brazil in 2021"
<p>Data set and R script used to produce the map of Brazilian indigenous languages in "Endangered languages in Brazil in 2021" by Sebastian Drude, Joshua Birchall, Ana Vilacy Galúcio, Denny Moore and Hein van der Voort. This is a chapter in the book <em>Endangered Languages in the 21<sup>st</sup> Century </em>edited by Eda Derhemi and Chris Moseley and to be published by Routledge in 2022.</p>
Fig. 5. The potential distribution map for F in Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi
Fig. 5. The potential distribution map for F. esperi in Ukraine under climatic conditions projected for 2050. Captions as in fig. 4, Bu — "Southern Buh".
Fig. 4. The potential distribution map for F in Distribution Of The Freshwater Snail Species Fagotia (Gastropoda, Melanopsidae) In Ukraine According To Climatic Factors. I. Fagotia Esperi
Fig. 4. The potential distribution map for F. esperi in Ukraine under contemporary climatic conditions (black squares represent pixels of 10-minute resolution, predicted to be suitable for the species). Convex polygons are drawn around assumed clusters: N — "northern", Ds — "Dnister", Du — "Danube", Dn — "Dnipro".
Supplementary Data: Mapping of local lattice parameter ratios by projective Kikuchi pattern matching
<p>This is the experimental dataset which was analyzed in:</p> <p>"Mapping of local lattice parameter ratios by projective Kikuchi pattern matching"<br> Aimo Winkelmann, Gert Nolze, Grzegorz Cios, and Tomasz Tokarski<br> Phys. Rev. Materials <strong>2</strong> (2018) 123803<br> https://doi.org/10.1103/PhysRevMaterials.2.123803</p> <p>We describe a lattice-based crystallographic approximation for the analysis of distorted crystal structures via electron backscatter diffraction (EBSD) in the scanning electron microscope. EBSD patterns are closely linked to local lattice parameter ratios via Kikuchi bands that indicate geometrical lattice plane projections. Based on the transformation properties of points and lines in the real projective plane, we can obtain continuous estimations of the local lattice distortion based on projectively transformed Kikuchi diffraction simulations for a reference structure. By quantitative image matching to a projective transformation model of the lattice distortion in the full solid angle of possible scattering directions, we enforce a crystallographically consistent approximation in the fitting procedure of distorted simulations to the experimentally observed diffraction patterns. As an application example, we map the locally varying tetragonality in martensite grains of steel.</p>
Map 3 in On the taxonomy and zoogeography of some Oxypoda species of the West Palaearctic region (Coleoptera: Staphylinidae: Aleocharinae)
Map 3: Distribution of Oxypoda subnitida MULSANT & REY based on revised records (triangles) and records reported by TRONQUET (2004) (circles).
Excel mapping tools for 2021 AMR data reporting
<p>The main objective of the mapping tools is to provide a simple and useable platform for Member States and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of antimicrobial resistance data via the Data Collection Framework (DCF).</p> <p>The tools can be used to report antimicrobial resistance data within the framework of Directive 2003/99/EC and Decision 2020/1729/EU.</p> <p>The catalogues and the specific hierarchy of each data model (AMR and ESBL) are already inserted into each of the specific mapping tool. Specific Excel mapping tools corresponding to each of the two data models are available.</p> <p>Dynamic or manual version of the tool can be chosen for each data models.</p>
Gene/Protein BridgeDb ID Mapping Database (Ensembl 105)
<p>Ensembl 105 derived ID mapping databases for use with BridgeDb.</p> <p>The scripts used to create these databases based on Ensembl BioMart can be found at <a href="https://github.com/bridgedb/create-bridgedb-genedb">https://github.com/bridgedb/create-bridgedb-genedb</a>.</p> <p>This work was funded by the <a href="https://fairplus-project.eu/">FAIRplus project</a> (grant agreement no 802750) and <a href="https://www.nwo.nl/en/researchprogrammes/open-science/open-science-fund/open-science-fund-2021-awarded-grants">NWO Open Science Fund</a> (grant no <a href="https://www.nwo.nl/en/projects/203001121">203.001.121</a>).</p>
Gene/Protein BridgeDb ID Mapping Database (Ensembl Metazoa 49)
<p>Ensembl Metazoa 49 derived ID mapping databases for use with BridgeDb.<br> The scripts used to create these databases based on Ensembl BioMart can be found at <a href="https://github.com/bridgedb/create-bridgedb-genedb">https://github.com/bridgedb/create-bridgedb-genedb</a>.</p> <p>This work was funded by the <a href="https://fairplus-project.eu/">FAIRplus project</a> (grant agreement no 802750) and <a href="https://www.nwo.nl/en/researchprogrammes/open-science/open-science-fund/open-science-fund-2021-awarded-grants">NWO Open Science Fund</a> (grant no <a href="https://www.nwo.nl/en/projects/203001121">203.001.121</a>).<br> </p>
Pundit Maps
<p>The <em>Pundits</em> (“learned men”, term derived from sanskrit) were the advance party of the exploration by the British in India of the northern regions located beyond the Himalaya, during the second half of the 19th century. Recruited from the native communities of the areas of British India bordering the Himalaya, they secretly explored regions out of bounds for white people. They used coded names, were provided by the Survey of India with specially made equipment to allow them to take and record (and hide) their measurements (air temperature, distance and direction travelled, boiling water temperature, latitude) and their expeditions lasted, sometimes, several years during which no news reached their bases in India.</p> <p>Their reports were gathered by the Survey of India which produced a sizeable number of articles and documents together with unique maps.</p> <p>This section includes a number of these maps and some images created by the Survey of India from the Pundit reports. The section covers explorations from 1868 to 1892. The originals are either at Dehra Dun or with the RGS in London. </p>
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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.