遇见数据集

Beach-face slope dataset for Australia

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Zenodo2025-01-26 更新2026-05-25 收录
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This repository contains a dataset of beach-face slopes for the Australian coastline. It includes more than 13,200 km of sandy coast with estimates of the beach-face slopes provided every 100 m. The dataset is described in <em>Vos et al. 2021, "Beach-face slopes dataset for Australia".</em> The beach-face slope data is provided in 2 separate GEOJSON files: <em>Australia_slopes_by_transect.geojson</em> and <em>Australia_slopes_by_beach.geojson</em>. The first one presents the data along each transect (total of 132,132 beach transects) and the second one presents the data for each individual beach/embayment (total of 5,207 beaches). The coordinate system for both geospatial layers is EPSG:3112 - GDA94 / Geoscience Australia Lambert - Projected. <strong>1. Australia_slope_by_transect.geojson</strong>: contains a geospatial layer with cross-shore transects along the Australian sandy coastline. Each feature in this layer is a transect (2 point linestring) with the following attributes:<br> - <em>Beach-face Slope</em>: Estimate of the beach-face slope between Mean Sea Level (MSL) and Mean High Water Springs (MHWS)<br> - <em>Lower Confidence Bound</em>: Lower limit of the confidence band for the slope estimate<br> - <em>Upper Confidence Bound</em>: Upper limit of the confidence band for the slope estimate<br> - <em>Width of Confidence Band</em>: Width of confidence band (between 0 and 0.19)<br> - <em>Upper Confidence Bound</em>: Upper limit of the confidence band for the slope estimate<br> - <em>Confidence Flag</em><strong>: </strong>Quality flag indicating the confidence in the slope estimate at this transect (High, Medium or Low)<br> - <em>Number of Shoreline Points</em>: Number of datapoints in the time-series used for beach-face slope estimation (minimum 100)<br> - <em>transect_id</em>: Database id for each transect, e.g., aus0001-0000, aus0001-0001, …<br> - <em>beach_id</em>: Database id for each beach, e.g., aus0001, aus0002, …, aus5255<br> - <em>Coastal Region</em>: Database id corresponding to the 23 coastal regions as identified by Thom et al. (2018)<br> - <em>Primary Sediment Compartment</em>: Database id corresponding to the 100 primary sediment compartments as identified by Thom et al. (2018)<br> -<em><strong> </strong></em><em>Secondary Sediment Compartment</em>: Database id corresponding to the 361 secondary sediment Compartments as identified by Thom et al. (2018) <strong>2. Australia_slope_by_beach.geojson</strong>: contains a geospatial layer with each individual beach/embayment (as a linestring) along the Australian sandy coastline. Each feature has the following attributes:<br> - <em>Average Beach-face Slope</em>: Average of the beach-face slope at the site, weighted by the width of the confidence bands<br> - <em>Average Width of Confidence Bands</em>: Average width of confidence band over the comprised transects<br> - <em>Confidence Flag</em><strong>: </strong>Quality flag indicating the confidence in the slope estimate at this transect (High, Medium or Low)<br> - <em>Average Number of Shoreline Points</em>: Average number of datapoints in the time-series over the comprised transects<br> -<em> beach_id</em>: Database id for each beach, e.g., aus0001, aus0002, …, aus5255<br> - <em>Coastal Region</em>: Database id corresponding to the 23 coastal regions as identified by Thom et al. (2018)<br> - <em>Primary Sediment Compartment</em>: Database id corresponding to the 100 primary sediment compartments as identified by Thom et al. (2018)<br> - <em>Secondary Sediment Compartment</em>: Database id corresponding to the 361 secondary sediment Compartments as identified by Thom et al. (2018) In addition to these two layers, the 3 different levels of the Sediment Compartments framework (Thom et al.. 2018) with their average beach-face slopes are also included here. <strong>3. coastal_regions.geojson</strong>: contains a geospatial layer of each coastal region (as polygon) as defined by Thom et al. 2018. Each feature has the following attributes:<br> - <em>name</em>: name of the coastal region, e.g., Pilbara, Kimberley, ...<br> - <em>Average Beach-face Slope (by beach)</em>: Average beach-face slope in each coastal region, averaged across all the individual beaches inside the polygon<br> - <em>Average Beach-face Slope (by transect)</em><strong>: </strong>Average beach-face slope in each coastal region, averaged across all the individual transects inside the polygon <strong>4. primary_compartments.geojson</strong>: contains a geospatial layer of each primary sediment compartment (as polygon) as defined by Thom et al. 2018. Each feature has the following attributes:<br> - <em>Primary Sediment Compartment id</em>: Database id corresponding to the 100 primary sediment compartments as identified by Thom et al. (2018)<br> -<em><strong> </strong>name</em>: name of each primary sediment compartment<br> - <em>Average Beach-face Slope (by beach)</em>: Average beach-face slope in each sediment compartment, averaged across all the individual beaches inside the polygon<br> - <em>Average Beach-face Slope (by transect)</em><strong>: </strong>Average beach-face slope in each sediment compartment, averaged across all the individual transects inside the polygon <strong>5. secondary_compartments.geojson</strong>: contains a geospatial layer of each secondary sediment compartment (as polygon) as defined by Thom et al. 2018. Each feature has the following attributes:<br> - <em>Secondary Sediment Compartment id</em>: Database id corresponding to the 361 secondary sediment compartments as identified by Thom et al. (2018)<br> - <em>name</em>: name of each secondary sediment compartment<br> - <em>Average Beach-face Slope (by beach)</em>: Average beach-face slope in each sediment compartment, averaged across all the individual beaches inside the polygon<br> -<strong><em> </em></strong><em>Average Beach-face Slope (by transect)</em><strong>: </strong>Average beach-face slope in each sediment compartment, averaged across all the individual transects inside the polygon

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Zenodo
创建时间:
2021-10-28
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