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13,117 results for “Maps”
Рис. 1. Карта-схема заказника «УΑыΛь» с местами сбора кровососущих комаров (Diptera, Culicidae). Описание биотопов Αано в тексте. Черной Λинией выΑеΛена схемати- ческая граница заказника Fig. 1. Map of the Nature Reserve "Udyl" with places where blood-sucking mosquitoes were collected (Diptera, Culicidae). Description of biotopes is given in the paper. The black line marks the schematic boundary of the Nature Reserve in Mosquitoes (Diptera, Culicidae) Of The Nature Reserve "Udyl" (Khabarovsk Krai, Russia)
Рис. 1. Карта-схема заказника «УΑыΛь» с местами сбора кровососущих комаров (Diptera, Culicidae). Описание биотопов Αано в тексте. Черной Λинией выΑеΛена схемати- ческая граница заказника Fig. 1. Map of the Nature Reserve "Udyl" with places where blood-sucking mosquitoes were collected (Diptera, Culicidae). Description of biotopes is given in the paper. The black line marks the schematic boundary of the Nature Reserve
Supplementary Datasets and Movies for the Paper "Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change"
<p>Supplementary Datasets and Movies for the Paper <br><strong>Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax</p> <p>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2404.05437</a></p> <p> </p> <p><strong>Movie S1 Animation of the 2018, Mw 7.1 Anchorage, Alaska sequence and background seismicity 2014-2022.</strong> Relocated seismicity shown for: 2014 – 2018 mainshock (light blue), 2018 mainshock – 1 month after mainshock (green), 1 month after mainshock through 2022 (light orange); large black dot indicates the Mw 7.1 mainshock hypocenter. See figure caption in main paper for more details.</p> <p><strong>Movie S2 Animation of seismicity-stress, 3D finite-faulting potential slip results the 2018 Mw 7.1 Anchorage, Alaska earthquake sequence.</strong> The high-potential portion of the seismicity-stress finite-faulting field is shown in red for west-dipping reciever faults inferred from the first 1 day of aftershocks (blue dots) after the 2018 mainshock (large black dot). See figure caption in main paper for more details.</p> <p> </p> <p><strong>CSV (.csv) and NLL-Hypocenter (.hyp) format catalogs of NLL-SSST-coherence relocations used in this study:</strong></p> <p>Parkfield_2022_NLL-SSST-coherence_20231201A.csv<br>Parkfield_2022_NLL-SSST-coherence_20231201A.hyp</p> <p>AntelopeValley_2021_NLL-SSST-coherence_20231223A.csv<br>AntelopeValley_2021_NLL-SSST-coherence_20231223A.hyp</p> <p>Anchorage_2018_NLL-SSST-coherence_20231125A.csv<br>Anchorage_2018_NLL-SSST-coherence_20231125A.hyp</p> <p> </p>
MAR2PROTECT - Geodatabase for vulnerability and risk maps
<p>This Dataset includes each of the GIS layers needed for the risk maps as well as the calculations and the final results for each Demo Site in which maps have been produced: Demo Site 3 - Frielas, Demo Site 4 - Emilia-Romagna, Demo Site 5 - Cape Flats and Demo Site 6 - Marbella. </p> <p>The objective was to develop risk vulnerability maps replicable at European scale to assess the vulnerability, hazard, exposure and risk of the different sites so it can be replicable at other sites. It is linked to one of the modules of the REACH Tool: GIS-REACH and the maps and methodology are presented in deliverable 4.3 - Report on the REACH Tool for GC and CC impactos on GW chemical status.</p>
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
<p>This entry contains data, pretrained models and supplementary files for our enzyme engineering study:</p> <p><strong>Title:</strong> Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning<br><strong>Journal:</strong> ACS Central Science</p> <p>If you use any of the data or code in the <a href="https://github.com/lasgroup/ml-protein-design-sav-gold">repository</a>, please cite the paper.</p> <p>The contents of this entry are:</p> <ol> <li>Sequence embeddings needed for reproducing the code are found in data.zip. Unzip the contents of the folder to <code>/data</code> in the code structure. </li> <li>NGS sequencing analysis and raw data in <code>NGS analysis.zip</code></li> <li>10% subset of structures generated with the Rosetta software in <code>structures.zip</code></li> <li>Pretrained and saved models for plotting, clustering and further prediction are saved in <code>models.zip</code></li> <li>Raw assay data including our designed libraries by active learning are found in <code>assay_and_ML_data.zip</code></li> </ol>
Cropping intensity maps for Vojvodina, Serbia
<p>This dataset represents cropping intensity maps in Vojvodina (Serbia) for 2022 and 2023, characterized by different weather conditions. These maps have a resolution of 10 meters and were created using machine learning techniques applied to Sentinel-2 data, along with on-site collected ground truth data.<br>The maps are in .tiff format and include the following classes:</p> <ul> <li>single summer cropping (0)</li> <li>single winter cropping (1)</li> <li>double-cropping (2)</li> <li>clover (3)</li> <li>other (4).</li> </ul>
Map 1 in Contributions to the herpetofauna of the Angolan Okavango- Cuando-Zambezi river drainages. Part 3: Amphibians
Map 1. Distribution of Arthroleptis stenodactylus in Angola. Historical records (Marques et al. 2018) are indicated by white dots, while new records are indicated by black dots. Axis values are in degrees (°). Purple polygon – Okavango River basin, Blue polygon – Cuando River basin, Brown polygon – Zambezi River basin.
Georeferenced and cataloged dataset built from Nimuendajú's Ethnohistorical Map
<p>This is a publicly available georeferenced ethnohistoric dataset based on Nimuendajú (2017). These data were first used in Barsanetti and Ferreira (2024). We have made this folder available to the wider public for use in academic, not-for-profit research. If you use these data in one of your papers, please cite the data (DOI: 10.5281/zenodo.12772630) and also the following references (or newer versions of them): </p> <p>Nimuendajú, Curt (2017). Mapa Etno-Histórico do Brasil e Regiões Adjacentes. Brasília: Instituto do Patrimônio Histórico e Artístico Nacional, Instituto Brasileiro de Geografia e Estatística.</p> <p>Barsanetti, Bruno, and Alípio Ferreira (2024). “Historical Indigenous Extinctions and Modern Deforestation in the Amazon.” Working paper.</p> <p>Please refer to Barsanetti and Ferreira (2024) for a detailed explanation of the dataset and preparation and a discussion of its strengths and limitations. Please read the "Read Me" file for details on the files, which are in the compressed folder "Compressed Data". We appreciate the research assistance of Matheus Dutra, Alan Gayger, Lilian Kingston Freitas, and Alexandre Portugal. Please contact us by email at bruno.barsanetti@fgv.br for any inquiries. This version of the dataset was published on July 18, 2024.</p> <p>Bruno Barsanetti, EPGE Brazilian School of Economics and Finance<br>Alipio Ferreira, Southern Methodist University</p>
Fig. 1. Map showing all trapping sites from 2009 in Seasonal phenology of Sirex nigricornis (Hymenoptera: Siricidae) in Arkansas with implications for management of Sirex noctilio
Fig. 1. Map showing all trapping sites from 2009 to 2013 in Arkansas, USA. Legend indicates which sites were trapped during which years.
Карта-схема района исследований. 1А, 1Б, 1В – станции раЗреЗа 1; 2А, 2Б, 2В – станции раЗреЗа 2; 3А, 3Б, 3В – станции раЗреЗа 3. A schematic map of the research area. 1A, 1Б, 1В – stations of line 1; 2A, 2Б, 2В – stations of line 2; 3A, 3Б, 3В – stations of line 3. in Pelagic larvae of bivalve mollusks in meroplankton in the coastal waters of Aniva Bay (southern Sakhalin, Sea of Okhotsk)
Карта-схема района исследований. 1А, 1Б, 1В – станции раЗреЗа 1; 2А, 2Б, 2В – станции раЗреЗа 2; 3А, 3Б, 3В – станции раЗреЗа 3. A schematic map of the research area. 1A, 1Б, 1В – stations of line 1; 2A, 2Б, 2В – stations of line 2; 3A, 3Б, 3В – stations of line 3.
Interactive map of Heat Stress Compensability Classification (HSCC) application in 96 United States cities.
<p>This repository includes the interactive map in format .html of the very first application of the <strong>Heat Stress Compensability Classification (HSCC) in 96 cities in the United States </strong>showing the proportion of days with compensable and uncompensable heat stress from the top 10th percentile of hottest days from 2005-2020 in each place.</p> <p>This map offers the detailed results of the very first application of the classification system as in the journal article: <strong>The Development of an Adaptive Heat Stress Compensability Classification Applied to the United States</strong>, published in the 4th SNP special issue in the International Journal of Biometeorology. The results of this visualization were obtained from open-source data and coding packages such as Folium, and the model results were obtained by applying the Python Human Heat Balance (PyHHB) on weather dataset freely available.</p> <p>The interactive map offers a detailed visualization of the results from each of the cities, allowing you to see 3 tabs when the icon of the pie chart from each location is clicked.</p> <p><strong>Tab statistics:</strong> Detail per city of Figure 4b of related paper.</p> <p><strong>Tab Histogram 2D: </strong>Details per city of Fig 6 of related paper</p> <p><strong>Tab How to read: </strong>Figure 2 in related paper.</p> <p>Please for questions related to this dataset/code contact Gisel Guzman-Echavarria (gguzma20@asu.edu).</p> <p>Guzman-Echavarria, G., & Vanos, J. (2023). PyHHB: Physiological-based estimations of human survivability and liveability to heat in a changing climate (Nature Communications (1.0.0)). Zenodo. https://doi.org/10.5281/zenodo.10020137</p> <p> </p> <p> </p>
Fig. 12. A, B. Jeletzkytes criptonodosus Riccardi, 1983, MAPS A2050a1 in Additions to the Ammonite Fauna of the Upper Cretaceous Navesink Formation of New Jersey
Fig. 12. A, B. Jeletzkytes criptonodosus Riccardi, 1983, MAPS A2050a1, Navesink Formation, bank of Nut Swamp Brook, near Middletown, Monmouth County. C–F. Jeletzkytes cf. J. nodosus (Owen, 1852), lower phosphatic layer, Navesink Formation, Atlantic Highlands, New Jersey. C. USNM 445247; D, E. MAPS A2020a6; F. MAPS A2020a7. All figures are X1.
Map 1 in Metophthalmus (Metophthalmus) hispanicus Reitter, 1908 (Coleoptera: Latridiidae: Latridiinae), new species for Portugal
Map 1.- Iberian distribution of Metophthalmus (M.) hispanicus Reitter, 1908 (grey: previously known Spanish provinces; green: new Portuguese district; orange: new Portuguese MGRS 100 km2 square].
Map 1 in Leptopus hispanus Rambur, 1840 (Hemiptera¡ Leptopodidae¡ Leptopodinae), new species for Portugal
Map 1.- Iberian distribution of Leptopus hispanus Rambur, 1840 [grey¡ previously known Spanish provinces; green¡ new Portuguese districts; orange¡ new Portuguese MGRS 100 km2 squares].
Map 1 in Leptispa filiformis (Germar, 1842) (Coleoptera: Chrysomelidae) in Portugal
Map 1.- Iberian distribution of Leptispa filiformis (Germar, 1842), with the previously known Portuguese district and Spanish provinces in grey, the previously known Portuguese MGRS 100 km2 squares in blue and the new Portuguese MGRS 100 km2 square in orange.
Map 1 in Clerus mutillarius africanus Kocher, 1955 (Coleoptera: Cleridae) rediscovered in Portugal
Map 1.- Portuguese distribution of Clerus mutillarius africanus Kocher, 1955 (green: new district; grey: previously known district; orange: new MGRS 100 km2 square; blue: previously known MGRS 100 km2 square).
Map 1 in Cimex hirundinis Lamarck, 1816 (Hemiptera: Cimicidae) in Portugal
Map 1.- Iberian distribution of Cimex hirundinis Lamarck, 1816, with the previously known Spanish provinces in grey, the new Portuguese district in green, and the new Portuguese MGRS 100 km2 square in orange.
Map 1 in The pine cone bug, Gastrodes grossipes grossipes (De Geer, 1773) (Hemiptera: Rhyparochromidae), in Portugal
Map 1.- Iberian distribution of Gastrodes grossipes grossipes (De Geer, 1773), with Andorra and the previously known Portuguese districts and Spanish provinces in grey, the new Portuguese district in green, the previously known Portuguese MGRS 100 km2 squares in blue and the new Portuguese MGRS 100 km2 square in orange.
Map 2 in Lachnaia gallaeca Baselga & Ruiz-García, 2007 new for Portugal and confirmation of Phratora vulgatissima (Linnaeus, 1758) (Coleoptera: Chrysomelidae)
Map 2.- Iberian distribution of Phratora (Chaetoceroides) vulgatissima (Linnaeus, 1758), with the previously known Spanish provinces in grey, the new Portuguese districts in green, and the new Portuguese MGRS 100 km2 squares in orange.
Map 1 in Metacanthus maghrebinus Péricart, 1977 (Hemiptera: Berytidae), new species for Portugal
Map 1.- Iberian distribution of Metacanthus maghrebinus Péricart, 1977, with the previously known Spanish provinces in grey, the new Portuguese districts in green, and the new Portuguese MGRS 100 km2 squares in orange.
Map 1 in Artheneis foveolata Spinola, 1837 (Hemiptera: Artheneidae) rediscovered in Portugal, more than 60 years after its first record
Map 1.- Iberian distribution of Artheneis foveolata Spinola, 1837, with the previously known Spanish provinces and Portuguese districts in grey, and the previously known (in blue) and new (in orange) Portuguese MGRS 100 km2 squares.
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.