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Data accompanying manuscript: 'Antarctic subglacial topography mapped from space reveals complex mesoscale landscape dynamics'

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NIAID Data Ecosystem2026-05-02 收录
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This upload contains the data which accompanies the manuscript: 'Antarctic subglacial topography mapped from space reveals complex mesoscale landscape dynamics'. Metrics calculated for each of the 4269 50 km by 50 km regions Filename (IFPA) Filename (Bedmachine) Filename (Bedmap3) Description x_ifpa.ncy_ifpa.nc     X and Y coordinates mean_ifpa.nc or ifpa_mean.nc bedmach_mean.nc   Mean elevation (m) ifpa_count.ncifpa_count_max_20.ncifpa_count_max_100.ncifpa_count_max_250.nc bedmach_count.ncbedmach_count_max_20.ncbedmach_count_max_100.ncbedmach_count_max_250.nc   The number of hills with a 50 m prominence within a 5 km neighbourhood (or 20 m, 100 m, 250 m respectively) ifpa_b1_5km.ncifpa_b1_thickness.nc bedmach_b1_5km.ncbedmach_b1_thickness.nc   The fourier fractal dimension for wavelengths greater than 5 km or the ice thickness respectively ifpa_std_deslope.nci_std_l.nc bedmach_std_deslope.ncb_std_l.nc   The standard deviation:- with the best fit slope removed- of some long wavelength components of the fourier spectrum ifpa_wav_max_power.nc bedmach_wav_max_power.nc   The wavelength in the Fourier spectrum with the maximum power ifpa_rms_slope.nci_rms_slope_h.nc bedmach_rms_slope.ncb_rms_slope_h.nc   The RMS slope of:- the bed elevation- some short wavelength components of the fourier spectrum ifpa_rms_curvature.nc bedmach_rms_curvature.nc   The RMS curvature of the bed elevation   source.nc   The method used to calculate the bed topography (Bedmachine only)     mean_nearest.nc The mean distance from each IFPA grid point to the nearest Bedmap3 data point     bedmap3_count.nc The number of Bedmap3 data points within the region   Datasets required for plotting Filename Description Groundingline_Antarctica_v2.shp Antarctic grounding line   ECR_features.shp Outline of significant features within the example regions chosen IFPA_bed.nc OLD VERSION of IFPA bed topography map for Antarctica IFPA_bed_C50.nc IFPA bed topography map for Antarctica (without radar correction) To plot the figures, you will either require the following datasets:  Filename Description IFPA_figures_data.zip Additionally data to plot figures 1,6,8 and 9  HA_data.csvHB_data.csvRSB_data.csv For Highland A, Highland B and Recovery Subglacial BasinIFPA (radar corrected), IFPA (not radar corrected), Bedmachine v3, and ice-penetrating radar profiles HA_data_ifpa.csvHB_data_ifpa.csvRSB_data_ifpa.csv For Highland A, Highland B and Recovery Subglacial BasinIFPA (radar corrected) map for the region crossed by the ice-penetrating radar profile or, the figures can be regenerated using the following datasets, which are available at the listed DOIs Filename Description Reference DOI GaplessREMA100.nc Gapless REMA Antarctica dataset at 100m resolution Dong et al. (2022) 10.1016/j.isprsjprs.2022.01.024 BedMachineAntarctica-v3.nc MEaSURES BedMachine Antarctica bed topography map version 3 Morlighem et al. (2020) 10.5067/FPSU0V1MWUB6 antarctica_ice_velocity_450m_v2.nc ITSLIVE Antarctic velocity map Gardner et al. (2019) 10.5067/6II6VW8LLWJ7 antarctic_ice_vel_phase.nc MEaSURES Antarctic velocity map Mouginot et al. (2019) 10.5067/PZ3NJ5RXRH10 UTIG_2010_ICECAP_AIR_BM3.csv Bed elevation from airborne radar from the UTIG Icecap survey Wright et al. (2012) 10.1029/2011JF002066 BAS_2012_ICEGRAV_AIR_BM3.csv Bed elevation from airborne radar from the BAS Icegrav survey Forsberg et al. (2018) 10.1144/SP461.17

本上传数据集配套于学术论文:《基于太空测绘的南极冰下地形揭示复杂中尺度景观动力学》。 针对4269个50km×50km的区域计算得到各类指标: | 文件名(IFPA) | 文件名(Bedmachine) | 文件名(Bedmap3) | 描述 | | --- | --- | --- | --- | | x_ifpa.nc、y_ifpa.nc | (无) | (无) | X与Y坐标 | | mean_ifpa.nc 或 ifpa_mean.nc | bedmach_mean.nc | (无) | 平均高程(单位:米) | | ifpa_count.nc、ifpa_count_max_20.nc、ifpa_count_max_100.nc、ifpa_count_max_250.nc | bedmach_count.nc、bedmach_count_max_20.nc、bedmach_count_max_100.nc、bedmach_count_max_250.nc | (无) | 5km邻域内高差50m的山丘数量(分别对应20m、100m、250m高差阈值) | | ifpa_b1_5km.nc、ifpa_b1_thickness.nc | bedmach_b1_5km.nc、bedmach_b1_thickness.nc | (无) | 波长大于5km的傅里叶分形维数,或分别对应冰厚 | | ifpa_std_deslope.nc、i_std_l.nc | bedmach_std_deslope.nc、b_std_l.nc | (无) | 移除最佳拟合斜率后,傅里叶谱部分长波分量的标准差 | | ifpa_wav_max_power.nc | bedmach_wav_max_power.nc | (无) | 傅里叶谱中功率最大的波长 | | ifpa_rms_slope.nc、i_rms_slope_h.nc | bedmach_rms_slope.nc、b_rms_slope_h.nc | (无) | 冰下高程的均方根斜率,或分别对应傅里叶谱部分短波分量的均方根斜率 | | ifpa_rms_curvature.nc | bedmach_rms_curvature.nc | (无) | 冰下高程的均方根曲率 | | source.nc | (无) | (无) | 冰下地形的计算方法(仅Bedmachine可用) | | (无) | (无) | mean_nearest.nc | 每个IFPA格点到最近Bedmap3数据点的平均距离 | | (无) | (无) | bedmap3_count.nc | 区域内Bedmap3数据点的数量 | ### 绘图所需基础数据集 | 文件名 | 描述 | | --- | --- | | Groundingline_Antarctica_v2.shp | 南极接地线 | | ECR_features.shp | 所选示例区域内重要特征的轮廓 | | IFPA_bed.nc | 南极IFPA冰下地形地图旧版本 | | IFPA_bed_C50.nc | 南极IFPA冰下地形地图(未经过雷达校正) | 若需绘制完整图表,还可使用以下补充数据集: | 文件名 | 描述 | | --- | --- | | IFPA_figures_data.zip | 用于绘制图1、6、8和9的补充数据 | | HA_data.csv、HB_data.csv、RSB_data.csv | 对应高地A、高地B与复苏冰下盆地的数据集,包含经雷达校正的IFPA、未校正的IFPA、Bedmachine v3以及冰穿透雷达剖面数据 | | HA_data_ifpa.csv、HB_data_ifpa.csv、RSB_data_ifpa.csv | 对应高地A、高地B与复苏冰下盆地的IFPA(经雷达校正)地图数据集,覆盖冰穿透雷达剖面穿过的区域 | 或可通过以下公开DOI获取的数据集重新生成图表: | 文件名 | 描述 | 参考文献 | DOI | | --- | --- | --- | --- | | GaplessREMA100.nc | 100m分辨率无间隙南极REMA数据集 | Dong et al. (2022) | 10.1016/j.isprsjprs.2022.01.024 | | BedMachineAntarctica-v3.nc | MEaSURES BedMachine南极冰下地形地图v3版本 | Morlighem et al. (2020) | 10.5067/FPSU0V1MWUB6 | | antarctica_ice_velocity_450m_v2.nc | ITSLIVE南极速度地图 | Gardner et al. (2019) | 10.5067/6II6VW8LLWJ7 | | antarctic_ice_vel_phase.nc | MEaSURES南极速度地图 | Mouginot et al. (2019) | 10.5067/PZ3NJ5RXRH10 | | UTIG_2010_ICECAP_AIR_BM3.csv | UTIG冰盖调查机载雷达测得的冰下高程 | Wright et al. (2012) | 10.1029/2011JF002066 | | BAS_2012_ICEGRAV_AIR_BM3.csv | BAS Icegrav调查机载雷达测得的冰下高程 | Forsberg et al. (2018) | 10.1144/SP461.17 |
创建时间:
2024-11-27
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