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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Surface and Internal Data Collected from Peninsula Point, NWT, Canada between 2016 to 2018

Authors: Hayes, Samuel; Lim, Michael; Whalen, Dustin; Mann, Paul; Fraser, Paul; Penlington, Roger; Martin, James;

Surface and Internal Data Collected from Peninsula Point, NWT, Canada between 2016 to 2018

Abstract

This dataset contains field data collected in 2016, 2017 and 2018 at Peninsula Point, NWT, Canada. All the data is in the UTM zone 8 projection, aside from the fence diagram, which is just a 3D object file. The “PointClouds” file contains LAS files for 2016, 2017 and 2018. The 2016 point cloud was created by partners at Natural Resources Canada, using images collected by the DJI Phantom 3 and processed using the Pix4D software using the Structure from Motion-Multi View Stereo photogrammetric method. The 2017 and 2018 point clouds were created using images from the DJI Phantom 4, and processed using Agisoft Photoscan. The 2017 and 2018 point clouds were finely co-registered to the 2016 data using CloudCompare, while the 2016 data was registered using 10 black and white markers distributed across the site and georeferenced using a RTK system. The “MassiveIceSurface” file is a GeoTiff representing the surface of the buried massive ice layer. The measurements were made using the Tromino passive seismic monitoring device along three transects each containing three points, and the IDW interpolation in ArcGIS was used to generate a surface layer. The “HeadwallsShapefiles” file contains the digitised actively retreating headwall positions in each year, created in ArcGIS. The “Headwall_Transects_5m” file contains transect at roughly 5 m intervals that pass through the headwalls and were used to document headwall retreat rates and the exposed headwall constituents (i.e., overburden thickness and ice thickness). The “HeadWallPredictions” contain the different methods used to predict the 2018 headwall position using: an extrapolation of the 2016-2017 rates (ExtrapolatedFrom16to17) the observed rates from Mackay 1986 (https://doi.org/10.4095/120445) (MackayPredictedHeadwalls) Metrics based on the predicted overburden and massive ice thickness using the massive ice surface model and applied to the 2016-2017 retreat rates (IceBodyPredictLine) Metrics based on the assumption that the 2017 headwall constituents continue inland, and applied to the 2016-2017 retreat rates (ObservationsPredictionLine) The “DetailedTransectData” is a spreadsheet containing the headwall retreat rates and headwall constituents in each years across transects in “Headwall_Transects_5m”. The first sheet contains all the data, the second sheet contains the transects that had at least 1 year with massive ice present, and the third sheet contains the transects that that covered the region containing the “MassiveIceSurface” model, and the predicted headwall retreat rates, the shapefiles of which are contained in the “HeadWallPredictions” file. The “PenPointTrominoData&IceObs” is a spreadsheet containing the passive seismic measurement points and the processing options – Signal filtering range (Range), Standard Deviation (SD) and the filter type (Filter). It also contain the ice surface measurement points derived from observations of the headwall in 2017. There will be an accompanying peer reviewed paper in the coming year that provides further details, and a link will be added when available.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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