Filters
Selected Filters
None
Available Filters
Modern Countries and Continents
File Formats
Network Tags
Network Topics
Node Topics
Edge Topics
Directionality
Weighted
General

Search Fields

The following fields can be used for targeting a specific field as described in the query syntax below.

canonicalCitation
collectionTags
description
fileFormats
id
name
tags.txt
authors.firstName
authors.lastName
authors.orcidId
construction.additionalComments
construction.description
construction.sources.sourceTypes.txt
license.licenseId
relatedPublications.canonicalCitation
structure.directionality
structure.weighted
topic.edgeAttributes.txt
topic.edgeTopics.txt
topic.modernCountriesAndContinents.name
topic.networkTopics.txt
topic.nodeAttributes.txt
topic.nodeTopics.txt

Query Syntax

TitleOperatorExampleDescription
Phrase / Exact match
""
"Roman"
"Roman Road Network"
The term or phrase must be matched exactly (case insensitive) to get a match.
Field Search
FIELD_NAME:()
name:(Roman Road Network)
name:("Roman Road Network")
Field searches makes it possible to narrow the search to a specific field instead of searching all fields. The same operators as used in a normal search can be applied to field searches.
Wildcard
?, *
Roma?
Ro*
Search words including or ending with and an unknown set of characters. The wildcard
?
matces a single character and
*
matches 0-n characters.
Fuzzy
~
Roma~
Squire~
Find words which are similar (spelling wise) to the given word. Good for finding misspelled words. The examples could e.g. result in "Roma, Roman, Rome" or "Squire, Super, Squibb".
Given the length of the word different rules apply *:
[0-2]:
No fuzzyfication is applied - the word must match exactly
[3-5]:
One edit** is allowed
[6-*]:
Two edits** are allowed
* The default rules for edits can be overwritten by applying one of [0, 1, 2] after the "~", where the number specifies the number of edits allowed.
** An edit is an insertion, deletion or substitution of a character.
Must
+
+Roman Road +Network
+name:(Roman Road)
+"Roman Road" Network
Express which terms must be present to get a match:
+Roman Road +Network
Both "Roman" and "Network" must be present, "Road" is not required but would make a better result if present
+name:(Roman Road)
One of the terms must be present in the title field (If all terms must be present prefix each term with a "+")
+"Roman Road"
The exact phrase must be present
Must Not
-
-Roman Road
-name:(Roman Road)
-"Roman Road" Network
Express which terms must not be present to get a match:
-Roman Road
"Roman" must not present
-name:(Roman Road)
One of the terms must not be present in the title field (If all terms must not be present prefix each term with a "-")
-"Roman Road"
The exact phrase must not be present
Grouping
( )
(+Roman +Road) (+Ancient +Network)
Group expressions together to form sub-queries. The Example reads: match ("Roman" and "Road") or ("Ancient" and "Network").
time
1 - 1 / 1
Formats
csv, net
Nodes
-
Edges
-
Years
1501800
Access
|
Added
2025-12-03
34

"Zooarchaeological datasets are often large, complex, and difficult to visualize and communicate. Many visual aids and summaries often limit the patterns that can be identified and mask interpretations of relationships between contexts, species, and environmental information. The most commonly used of these often include bar charts, pie charts, and other such graphs that aid in categorizing data and highlighting the differences or similarities between categories. While such simplification is often necessary for effective communication, it can also obscure the full range of complexity of zooarchaeological datasets and the human-environment dynamics they reflect. In this paper, we demonstrate the utility of formal network graphs to capturing the complexity of zooarchaeological datasets and to effectively highlighting the kinds of relationships between contexts, time, and faunal assemblages in which zooarchaeologists are primarily interested. Using a case study from southwestern Florida (USA), we argue that network graphs provide a quick solution to visualizing the structure of zooarchaeological datasets and serve as a useful aid in interpreting patterns that represent fundamental reflections of human-centered ecosystems."

From https://pmc.ncbi.nlm.nih.gov/articles/PMC10729997/#abstract1

Tags
zooarchaeology
Modern Countries and Continents
United States
Structure
Directionality
undirected
Weighted
yes
Hypergraph
no
Longitudinal
no
Multigraph
no
Multilayer
no
Multipartile
-
Probabilistic
no
Self Loops
no
Signed
no
Spatial
no
Canonical Citation
Isabelle Holland-Lulewicz, & Jacob Holland-Lulewicz. (2023). Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7948824
Funding
"The authors received no specific funding for this work."
Data Publisher
Zenodo
Network Topics
assemblage-similarity
ecological-networks
socio-ecological-networks
Node Topics
site
species
Edge Topics
similarity
Node Attributes
archaeological-feature
geographical-locations
time-period
Edge Attributes
relationship-strength
similarity
species-overlap
Uncertainties
Nodes
no
Edges
no
Node Attributes
no
Edge Attributes
no
Statistics
Avg. Clustering Coefficient
-
Avg. Degree
-
Construction

“Networks are built from simple data tables, or matrices, such as a species list indicating MNI or presence/absence for each species within particular contexts. In some cases, ties represent the presence of a specific species in a specific context or habitat. In other cases, ties represent a certain cutoff point of percent MNI for a specific context. Another example may be a similarity matrix, where rows and columns both represent species, and the values within the matrix represent how similar those species are in regard to the contexts in which they are found.” “We use two different kinds of networks: two-mode networks contain two different kinds of nodes with ties between different classes of nodes; a one-mode network is a transformation of a two-mode network where only a single kind of node is depicted.” “For the graphs we build here, nodes might represent specific contexts, specific species, or specific habitats.” “All data is archived on Zenodo at https://doi.org/10.5281/zenodo.7948824.”

Sources

deFrance S, Walker KJ. The zooarchaeology of Pineland. In: Marquardt WH, Walker KJ, editors. The archaeology of Pineland: A coastal southwest Florida site complex, AD 50–1710. Monograph 4, Institute of Archaeology and Paleoenvironmental Studies, University of Florida: Gainesville; 2013. pp. 305–348.

Source Types
faunal-assemblages
publication
zooarchaeological-data
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