Seafloor bathymetry map of the Kullorsuaq region, Northwest (NW) Greenland from August 2020, measured as part of the "Greenland Rising" project. The project is a US National Science Foundation funded collaboration between Columbia University and the Greenland Institute of Natural Resources with a goal to map shallow-water areas around coastal communities. Mapping was undertaken from the vessel "Sanna" in August 2020.
more »
« less
roszenil/horotely: Felsenstein Review. Bradytely or Tachytely
Files and code for "Simpson's bradytely or tachytely? The importance of quantifying rate uncertainty". Felsenstein review for Methods in Ecology and Evolution. 2024. Authors: Rosana Zenil-Ferguson (University of Kentucky) and Lee Hsiang Liow (University of Oslo).
more »
« less
- Award ID(s):
- 2323170
- PAR ID:
- 10630692
- Publisher / Repository:
- Zenodo
- Date Published:
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Seafloor bathymetry map of the Nuuk region, West Greenland, measured as part of the "Greenland Rising" project. The project is a US National Science Foundation funded collaboration between Columbia University and the Greenland Institute of Natural Resources with a goal to map shallow-water areas around coastal communities. Mapping was undertaken from the vessel "Sanna" in October 2020 and from a smaller charter vessel for shallow water mapping in June 2021. Data from both surveys were merged into a single grid.more » « less
-
Seafloor bathymetry map of the Aasiaat region, Western Greenland, measured as part of the "Greenland Rising" project. The project is a US National Science Foundation funded collaboration between Columbia University and the Greenland Institute of Natural Resources with a goal to map shallow-water areas around coastal communities. Mapping was undertaken from the vessel "Sanna" in July-August 2020 and from a smaller charter vessel in July 2021 to map shallow-water regions. Datasets from both surveys have been merged to a single grid.more » « less
-
Purple photosynthetic bacteria are emerging as both valuable biotechnological tools and important players in various ecosystems. This extended abstract highlights recent research from the Bose lab at Washington University in St. Louis touching on both of these ideas. Specifically, it discusses the use of "electrotrophic" bacteria as biocatalysts for microbial electrosynthesis, and the prevalence of these microbes in ecosystems like marine wetlands.more » « less
-
This resource contains source code and select data products behind the following Master's Thesis: Platt, L. (2024). Basins modulate signatures of river salinization (Master's thesis). University of Wisconsin-Madison, Freshwater and Marine Sciences. The source code represents an R-based data processing and modeling pipeline written using the R package "targets". Some of the folders in the source code zipfile are intentionally left empty (except for a hidden file ".placeholder") in order for the code repository to be setup with the required folder structure. To execute this code, download the zip folder, unzip, and open the salt-modeling-data.Rproj file. Then, reference the instructions in the README.md file for installing packages, building the pipeline, and examining the results. Newer versions of this repository may be updated in GitHub at github.com/lindsayplatt/salt-modeling-data. In addition to the source code, this resource contains three data files containing intermediate products of the pipeline. The first two represent data prepared for the random forest modeling. Data download and processing were completed in pipeline phases 1 - 5, and the random forest modeling was completed in phase 6 (see source code). site_attributes.csv which contains the USGS gage site numbers and their associated basin attributes site_classifications.csv which contains the classification of a site for both episodic signatures ("Episodic" or "Not episodic") and baseflow salinization signatures ("positive", "none", "negative", or NA). Note that an NA in the baseflow classification column means that the site did not meet minimum data requirements for calculating a trend and was not used in the random forest model for baseflow salinization. site_attribute_details.csv contains a table of each attribute shorthand used as column names in site_attributes.csv and their names, units, description, and data source.more » « less
An official website of the United States government
