Work Description

Title: Widespread and persistent deposition of iron formations for two billion years: Compilation Dataset Open Access Deposited

h
Attribute Value
Methodology
  • We compiled estimates of the initial iron formation (IF) masses, estimated by various authors (cited for each IF) using the observed thicknesses and areal extents of each IF. Ages of each IF were constrained using relevant geochronological age constraints (cited for each IF). Units of age estimates are in million years ago or mega-annum (Ma) and masses are shown in gigatons (Gt).
Description
  • This IF compilation was assembled from the existing literature to understand if preservation biases affected the record of iron formations.
Creator
Depositor
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • University of Michigan and the Crafoord Foundation
Keyword
Date coverage
  • 2018-05-01 to 2018-08-31
Citations to related material
  • Johnson, J. E., & Molnar, P. H. ( 2019). Widespread and persistent deposition of iron formations for two billion years. Geophysical Research Letters, 46, 3327– 3339. https://doi.org/10.1029/2019GL081970
Related items in Deep Blue Documents
Resource type
Last modified
  • 11/05/2020
Published
  • 03/08/2019
Language
DOI
  • https://doi.org/10.7302/vfer-6744
License
To Cite this Work:
Johnson, J., Molnar, P. (2019). Widespread and persistent deposition of iron formations for two billion years: Compilation Dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/vfer-6744

Relationships

This work is not a member of any user collections.

Files (Count: 2; Size: 42.9 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
JohnsonMolnar2019_DeepBlueReadMe.docx 2019-03-08 2019-03-08 30.9 KB Open Access
JohnsonMolnar_TableS1_forDeepBlu...y.csv 2019-03-08 2019-03-08 12.1 KB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to contact us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.