skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Dataset: Impact of salinization on lake stratification and spring mixing v1.0 L&O Letters
Scripts, model configurations and outputs to process the data and recreate the figures from Ladwig, R., Rock, L.A, Dugan, H.A. (-): Impact of salinization on lake stratification and spring mixing. This repository includes the setup and output from the lake model ensemble (GLM, GOTM, Simstrat) ran on the lakes Mendota and Monona. Scripts to run the models are located under /numerical and the scripts to process the results for the discussion of the paper are in the top main repository. The scripts to derive the theoretical solution are located under /analytical. Buoy monitoring data are located under /fieldmonitoring. The final figures are located under /figs_HD.</p>  more » « less
Award ID(s):
1759865
PAR ID:
10439095
Author(s) / Creator(s):
; ;
Publisher / Repository:
Zenodo
Date Published:
Edition / Version:
v1.0
Subject(s) / Keyword(s):
lake modeling salinization GLM GOTM Simstrat chloride
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. This repository includes the setup and output from the analysis ran on Lake Mendota to explore the trophic cascade caused by invasion of spiny water flea in 2010. Scripts to run the model are located under /src, and the processed results for the discussion of the paper are located under /data_processed.</p> 
    more » « less
  2. This dataset includes model configurations, scripts and outputs to process and recreate the outputs from Ladwig et al. (2021): Long-term Change in Metabolism Phenology across North-Temperate Lakes. The provided scripts will process the input data from various sources, as well as recreate the figures from the manuscript. Further, all output data from the metabolism models of Allequash, Big Muskellunge, Crystal, Fish, Mendota, Monona, Sparkling and Trout are included. 
    more » « less
  3. This dataset includes model configurations, scripts and outputs to process and recreate the outputs from Ladwig et al. (2021): Long-term Change in Metabolism Phenology across North-Temperate Lakes. The provided scripts will process the input data from various sources, as well as recreate the figures from the manuscript. Further, all output data from the metabolism models of Allequash, Big Muskellunge, Crystal, Fish, Mendota, Monona, Sparkling and Trout are included. 
    more » « less
  4. All data, scripts, and figures associated with the publication at DOI: 10.1093/treephys/tpae153. Updated to fix the order of the supplemental figures. 
    more » « less
  5. null (Ed.)
    Datasets are often derived by manipulating raw data with statistical software packages. The derivation of a dataset must be recorded in terms of both the raw input and the manipulations applied to it. Statistics packages typically provide limited help in documenting provenance for the resulting derived data. At best, the operations performed by the statistical package are described in a script. Disparate representations make these scripts hard to understand for users. To address these challenges, we created Continuous Capture of Metadata (C2Metadata), a system to capture data transformations in scripts for statistical packages and represent it as metadata in a standard format that is easy to understand. We do so by devising a Structured Data Transformation Algebra (SDTA), which uses a small set of algebraic operators to express a large fraction of data manipulation performed in practice. We then implement SDTA, inspired by relational algebra, in a data transformation specification language we call SDTL. In this demonstration, we showcase C2Metadata’s capture of data transformations from a pool of sample transformation scripts in at least two languages: SPSS®and Stata®(SAS®and R are under development), for social science data in a large academic repository. We will allow the audience to explore C2Metadata using a web-based interface, visualize the intermediate steps and trace the provenance and changes of data at different levels for better understanding of the process. 
    more » « less