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131 results for “Coastline”
Manually Annotated Drone Imagery (RGB) Dataset for automatic coastline delineation of Southern Baltic Sea, Poland with polyline annotations (0.1.1)
<p><strong>Overview:</strong></p> <p>The Manually Annotated Drone Imagery Dataset (MADRID) consists of hand annotated high resolution RGB images taken in two different types of coasts in Poland, Miedzyzdroje - cliff coast and in Mrzezyno - dune coast in 2022-2023. All images were converted into a uniform format of 1440x2560 pixels, polyline annotated and set into file structure format suited for semantic segmentation tasks (See "Usage" notes below for more details).</p> <p>The raw images of our dataset were captured Zenmuse L1 Sensor (RGB) mounted on a DJI Matrice 300 RTK Drone. Total of 4895 images were captured, however the dataset contains 3876 images with each image annotated with coastline. The dataset only include images with coastlines that are visually identifiable with the human eye. For the annotations of the images, CVAT v2.13 open-source software was utilized.</p> <p><strong>Usage:</strong></p> <p>The compressed RAR file contains two folders train and test. Each folder contains the file that represents the date at which the image was captured in the format of (year, month, day), number of the image and the name of the drone utilized to capture the image. For example, DJI_20220111140051_0051_Zenmuse-L1-mission and DJI_20220111140105_0053_Zenmuse-L1-mission. Additionally, the test folder contains annotations (one per image) which are extracted from the original XML annotation file provided in the CVAT 1.1 image format.</p> <p>Archives were compressed using RAR compression. They can be decompressed in a terminal by opening and extracting Madrid_v0.1_Data.zip.</p> <p>The subset of the data with the name Madrid_subset_data.zip has been added which contains a small portion of train and test images for purpose of inspecting the dataset without downloading the entire dataset.</p> <p>The training images for both training data and testing data are structured as follows.</p> <pre><code>Train/ └── images/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG └── ...<br>└── masks/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG └── ...<br><br>Test/ └── images/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.JPG └── DJI_20220111140105_0053_Zenmuse-L1-mission.JPG └── ...<br>└── masks/ └── DJI_20220111140051_0051_Zenmuse-L1-mission.PNG └── DJI_20220111140105_0053_Zenmuse-L1-mission.PNG └── ...</code></pre> <p> </p>
Electronic Supplementary for: Refining patterns of melt with forward stratigraphic models on stable Pleistocene coastlines
<p>This zipped repository accompanies the paper, "Refining patterns of melt with forward stratigraphic models on stable Pleistocene coastlines". Within the file are two sub-folders. "Model_Input" and "SELEN". "Model_Input" contains the parameters needed to re-run the model runs described in the manuscript in the model environement "OpenFlowSuit" (Beicip Franlab). The "SELEN" sub-folder contains three additional sub-folders: "Background", "Full", and "G2A5". Each of these sub-folders has three .csv files containing the GIA driven sea level curve under three different mantel viscosities, MV1, MV2, and MV3.</p>
The GNSS time series along the northern coastline of Java, Indonesia
<p>This repository contains the GNSS time series along the northern coastline of Java, both in .rneu and the GAGE's .pos format (https://www.unavco.org/data/gps-gnss/derived-products/docs/NOTICE-TO-DATA-PRODUCT-USERS-GPS-2013-03-15.pdf). The repository also contains the stations' coordinates. </p> <p>Notes:<br> In the .rneu format of the GNSS time series:<br> 1. The outliers have been removed.<br> 2. The offsets due to instrument changes at CGON in mid-2016 and at CSIT in late 2015 have been corrected.</p> <p>Please refer to:<br> Susilo, S., Salman, R., Hermawan, W. <em>et al.</em> GNSS land subsidence observations along the northern coastline of Java, Indonesia. <em>Sci Data</em> <strong>10</strong>, 421 (2023). https://doi.org/10.1038/s41597-023-02274-0</p>
Waves Hindcast on the Senegalese Coast over the Last Four Decades (from 1980 to 2021). [A Dataset use in : SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. Atmosphere 2023]
<p>Computed from the WW3 Model, the last Four Decades Wave Hindcast is available on the Senegalese Coast through this present Dataset. Covering the period 1980 to 2021, this high resolution hindcast, both spatial (0.05x0.05) and temporal (1 h) provided all the wave parameters such as: the significant wave heights, the mean wave periods, the wave directions and the peak wave periods (to compute from wave frequencies) with an hourly interval.</p> <p>More details on this data (e.g., model implementation and validation) can be obtained in: SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. <em>Journal Atmosphere 2023</em>].</p>
Figure 5 in Further morphological and molecular studies of driftwood hoppers (Crustacea: Amphipoda: Talitridae) from Mediterraneanłnorth-east Atlantic coastlines
Figure 5. Hypothetical growth curves for: (♦) O. mediterranea from the Medway estuary diamonds (18 months); (A) unknown taxon from the Swale, UK (12 months); (★) M. roffensis from the Medway estuary, UK (12 months). (A) Linear fitting; (B) lognormal fitting.
Figure 4 in Further morphological and molecular studies of driftwood hoppers (Crustacea: Amphipoda: Talitridae) from Mediterraneanłnorth-east Atlantic coastlines
Figure 4. Bayesian estimate of the evolutionary relationships among the talitrid species included in the study based on the COI partition. Numbers at nodes are posterior probabilities; divergence time (myr) ± standard deviation (SD) is reported at each node. Taxa are labelled following the codes in Table 1. Species delimitations obtained with the ABGD method are shown next to the tree.
Figure 3 in Further morphological and molecular studies of driftwood hoppers (Crustacea: Amphipoda: Talitridae) from Mediterraneanłnorth-east Atlantic coastlines
Figure 3. Bayesian estimate of the evolutionary relationships among the talitrid species included in the study based on all genes combined together (COI, 18S and two 28S fragments). Numbers at nodes are posterior probabilities.
Figure 1 in Further morphological and molecular studies of driftwood hoppers (Crustacea: Amphipoda: Talitridae) from Mediterraneanłnorth-east Atlantic coastlines
Figure 1. Scatterplots and fitted linear regressions for: (A) Pl3 ExL on TBL in O. mediterranea from Ria Formosa, Faro, Portugal, for all life history stages (♦); and O. microphtalma from Cap Ferret, France (▀). (B) A2 FA on TBL in O. microphtalma from Cap Ferret, France (★) and M. remyi from Principina a Mare, Italy (♦).
Figure 2 in Further morphological and molecular studies of driftwood hoppers (Crustacea: Amphipoda: Talitridae) from Mediterraneanłnorth-east Atlantic coastlines
Figure 2. Scatterplots and fitted regression lines for: (A) A2 PL on TBL for the unknown taxon from the Swale, UK (★) and juvenile O. mediterranea from the Medway estuary, UK (A). (B) ED on TBL for the unknown taxon from the Swale, UK (★) and juvenile O. mediterranea from the Medway estuary, UK (A).
Antarctic Coastlines, 1997-2021
<p>Time-evolving Antarctic calving fronts from observations.</p>
Extreme sea level rise along the Indian Ocean coastline: Observations and 21st century projections
<p>This file include all the data sets used to make the figures in the paper " <strong><em>Extreme sea level rise along the Indian Ocean coastline: Observations and 21<sup>st</sup> century projections</em></strong> "</p>
Рис. 1. Карта иЗученного побереЖьЯ Северной Кореи (пров. Хамгён-пукто) с укаЗанием населенных пунктов Чипсам и ЁмбудЖин и видами берегов: а, b, c – побереЖье вблиЗи Чипсам; d, e, f – побереЖье вблиЗи ЁмбудЖин. Fig. 2. A map of the area studied along the coast of North Korea (North Hamgyong Province) with indication of two sites, Jipsam and Yombunjin, and coastline views: а, b, c – coasts of Jipsam; d, e, f – coasts of Yombunjin. in On the bivalve molluscan fauna of North Hamgyong Province (North Korea)
Рис. 1. Карта иЗученного побереЖьЯ Северной Кореи (пров. Хамгён-пукто) с укаЗанием населенных пунктов Чипсам и ЁмбудЖин и видами берегов: а, b, c – побереЖье вблиЗи Чипсам; d, e, f – побереЖье вблиЗи ЁмбудЖин. Fig. 2. A map of the area studied along the coast of North Korea (North Hamgyong Province) with indication of two sites, Jipsam and Yombunjin, and coastline views: а, b, c – coasts of Jipsam; d, e, f – coasts of Yombunjin.
Extreme Total Water Level values for different possible combinations along the Southern Veneto, Emilia-Romagna and Northern Marche coastlines
<p><strong>Description:</strong> This data set is the result of the calculation of the extreme values of different Total Water Level combinations, including a range of components (Mean Sea Level, Tide, Residual, wave setup, wave runup). A total of 8 possible combinations:</p> <table> <tbody> <tr> <td> <p><strong>TWL Acronyms</strong></p> </td> <td> <p><strong>Used component</strong></p> </td> </tr> <tr> <td> <p>dCUE</p> </td> <td> <p>MSL (base) + Tide (Highs) + Residual + Estimated nearshore components (setup and runup)</p> </td> </tr> <tr> <td> <p>dCUU</p> </td> <td> <p>MSL (base) + Tide (Highs) + Residual + Univariated nearshore components (setup and runup)</p> </td> </tr> <tr> <td> <p>dTU</p> </td> <td> <p>TWL dynamic [MSL (base) + Tide (Highs) + Residual + Univariated nearshore components (setup and runup)]</p> <p>Based on Sanuy et al. (2020)</p> </td> </tr> <tr> <td> <p>dWUU</p> </td> <td> <p>Water Level [MSL (base) + Tide (Highs) + Residual] + Univariated nearshore components (setup and runup)</p> </td> </tr> <tr> <td> <p>sCUE</p> </td> <td> <p>MSL (base) + Tide (Highs) + Residual + Estimated Setup</p> </td> </tr> <tr> <td> <p>sCUU</p> </td> <td> <p>MSL (base) + Tide (Highs) + Residual + Univariated Setup</p> </td> </tr> <tr> <td> <p>sTU</p> </td> <td> <p>TWL static[ MSL (base) + Tide (Highs) + Residual + Univariated setup]</p> <p>Based on Sanuy et al. (2020)</p> </td> </tr> <tr> <td> <p>sWUU</p> </td> <td> <p>Water Level [ MSL (base) + Tide (Highs) + Residual] + Univariated Setup</p> </td> </tr> </tbody> </table> <div> </div> <div>The database has 3 representative extreme values for each type of frequency of event occurrence (High, Medium, Low).</div> <p>Each coastal point has the data using 3 slopes: 0.02, 0.03, 0.04. The points have a 0.025º (~2.5 km) distance between each other and 20 m depth.</p> <p><strong>Data location</strong>: The points with the data are located along the Italian coast of Regions: Veneto, Emilia-Romagna and Marche. Using the reference system WGS 84 / UTM zone 32N (EPSG:32632).</p> <p><strong>Fundings:</strong> The creation of this dataset was supported by the Autorità di Bacino Distrettuale del Fiume Po in the framework of the project “Approfondimento tecnico-scientifico sui quadri conoscitivi in ambito costiero”, coordinator Prof. P. Ciavola, University of Ferrara.</p> <p><strong>Disclaimer:</strong> Regardless of whether the data is quality-controlled or not, the authors do not accept any responsibility for the correctness and/or appropriate interpretation of the data. The correct and appropriate interpretation of the data must follow scientific rules and is always the exclusive responsibility of the users.</p>
Fig. 3. Female genitalia. A. Noduliferola abstrusa Kuznetzov, 1973. B. Maliarpha borealis Sasaki, 2012. C. Ectoblemma rosella Sugi, 1982 in New records of five species of Lepidoptera (Cosmopterigidae, Tortricidae, Pyralidae and Erebidae) from sand-dunes along the western coastline of Korea
Fig. 3. Female genitalia. A. Noduliferola abstrusa Kuznetzov, 1973. B. Maliarpha borealis Sasaki, 2012. C. Ectoblemma rosella Sugi, 1982.
Fig. 1. Adult habitus. A. Cosmopterix flavidella Kuroko, 2011, male. B. Noduliferola abstrusa Kuznetzov, 1973, female. C. Maliarpha borealis Sasaki, 2012, male. D. Ectoblemma rosella Sugi, 1982, female. E in New records of five species of Lepidoptera (Cosmopterigidae, Tortricidae, Pyralidae and Erebidae) from sand-dunes along the western coastline of Korea
Fig. 1. Adult habitus. A. Cosmopterix flavidella Kuroko, 2011, male. B. Noduliferola abstrusa Kuznetzov, 1973, female. C. Maliarpha borealis Sasaki, 2012, male. D. Ectoblemma rosella Sugi, 1982, female. E. Metachrostis miasma (Hampson, 1891), male. Scale bars = 4 mm.
Fig. S1 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore
Fig. S1. Average monthly high tide peak counts of seven shorebird species from Sungei Buloh Wetland Reserve. Counts were conducted from 2000 to 2006. Error bars indicate standard deviation. Raw data from Gan (2007).
Fig. 5 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore
Fig. 5. Plots of linear least square regression showing relationship between nereidid (Family Nereididae) worm abundance and shorebird density at the pond/mudflat level. A, regression with all 20 ponds/mudflats with benthic infauna data; B, regression with three outlier ponds/mudflats removed.
Fig. 4. A in Distribution and prey of migratory shorebirds on the northern coastline of Singapore
Fig. 4. A, Plot of transects; and B, polychaete families along NMDS axes one and two. A, transects are labeled as "site name", followed by "transect name" (if there were more than one transect in that site) and sampling cycle (one or two). C, D, Transects belonging to different sites and sampling cycles are connected by lines to form minimum convex polygons (e.g., polygon labeled as MD-1 encompasses all transects from Sungei Mandai sampled during cycle one). In the plotting of polygons, transects from SDN and SDS are combined, and collectively labeled as SD. See Table 1 for full site names.
Fig. 2 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore
Fig. 2. Monthly counts of the eight most common shorebird species, summed across all study sites. Solid lines represent high tide counts and dashed lines low tide counts.
Fig. 1 in Distribution and prey of migratory shorebirds on the northern coastline of Singapore
Fig. 1. Map of Singapore showing the study sites on the north coast (enlarged). See Table 1 for full site names. Insert shows position of Singapore in relation the Malay Peninsula and other Southeast Asian islands.
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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)
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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.