Published on 13 February 2020
Geologic Field Trip Guidebooks Web Archive collection derivatives
View DatasetRuest, Nick;Bielskas, Amanda;Wofford, Brittany;Quigley, Jane;Wild, Emily;Abrams, Samantha
Description
Web archive derivatives of the collection Geologic Field Trip Guidebooks Web Archive from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The ivy-12576-parquet.tar.gz derivatives are in the Apache Parquet format, which is a columnar storage format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See this notebook for examples. Domains
.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc) Produces a DataFrame with the following columns: domain count Web Pages .webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content")) Produces a DataFrame with the following columns: crawl_date url mime_type_web_server mime_type_tika content Web Graph .webgraph() Produces a DataFrame with the following columns: crawl_date src dest anchor Image Links .imageLinks() Produces a DataFrame with the following columns: src image_url Binary Analysis Audio Images PDFs Presentation program files Spreadsheets Text files Word processor filesThe ivy-12576-auk.tar.gz derivatives are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. Gephi file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. Raw Network file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. Full text file. In it, each website within the web archive collection will have its full text presented on one line, along with information around when it was crawled, the name of the domain, and the full URL of the content. Domains count file. A text file containing the frequency count of domains captured within your web archive.
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Metrics Over Time
Publication Details
Subfield
Geography, Planning and Development
Field
Social Sciences
Domain
Social Sciences
Confidence Score
86%
Source
Open Alex
Keywords
web archivesparquetdataframesScience & HealthGeologyFOS: Earth and related environmental sciences