Actor and institution network data on Great Lakes groundwater governance, circa 2020

Mayer, Terin V
Kirby, Eileen J
Edelstein, Benjamin
Franklin, Lila
Jennings, Carrie E
Reid, Linda
2023-04-05
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https://doi.org/10.13020/azf9-aq57
 https://hdl.handle.net/11299/253599
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Collection period

2021-05-01
2022-09-01

Date completed

2022-11-01

Date updated

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Source information

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Title

Actor and institution network data on Great Lakes groundwater governance, circa 2020

Published Date

2023-04-05

Authors

Group

Author Contact

Mayer, Terin V
terin@umn.edu

Type

Dataset
Observational Data
Other Dataset

Abstract

Description

This network data is provided in two comma separated value (.csv) text files. "Nodes" is a table where each row is either an actor or a policy institution and each column is associated variables representing attributes of that institution or actor. "Links" is an edge-list, a tabular representation of pair-wise relationships between nodes. Each row is a link between two entries in the "nodes" table, uniquely defined by a to-from pair of fields. Additional variables in the "links" field describe attributes of the relationships.

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License

Attribution-NonCommercial-ShareAlike 3.0 United States
 http://creativecommons.org/licenses/by-nc-sa/3.0/us/

Publisher

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Data Repository for U of M (DRUM)

Funding information

Joyce Foundation

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Previously Published Citation

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Suggested citation

Mayer, Terin V; Kirby, Eileen J; Edelstein, Benjamin; Franklin, Lila; Jennings, Carrie E; Reid, Linda. (2023). Actor and institution network data on Great Lakes groundwater governance, circa 2020. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/azf9-aq57.

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Description
Size
GW_nodes_2023-04-21.csv
Table of actors and institutions with associated variables
(57.51 KB)

GW_links_2023-04-21.csv
Table of relationships between actors or institutions, with associated variables describing the relationships
(85.26 KB)

Groundwater_Governance_Dataset_Codebook.pdf
Description of the data
(109.35 KB)

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