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1,298 results for “Archive”

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dryad32/100

Archive data for: Loss of predation risk from apex predators can exacerbate marine tropicalization caused by extreme climatic events

Open the record for dataset details and reuse information.

publicDec 2020View details →
dryad32/100

Data from: Differentiation in neutral genes and a candidate gene in the pied flycatcher: using biological archives to track global climate change

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publicOct 2014View details →
dryad32/100

Data from: Extracting DNA from ‘jaws’: high yield and quality from archived tiger shark (Galeocerdo cuvier) skeletal material

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publicJul 2016View details →
dryad32/100

Data Archival for Economic Cost Modeling of Chinook Habitat Restoration in the Stillaguamish River Basin

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publicMay 2024View details →
dryad32/100

Data from: Changes in Eocene plant diversity and composition of the vegetation: the lacustrine archive of Messel (Germany)

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publicJun 2018View details →
dryad32/100

Data from: Coupling demographic and genetic variability from archived collections of European anchovy (Engraulis encrasicolus).

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publicApr 2016View details →
dryad32/100

Archive data supporting the results in the paper: Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil"

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publicMay 2022View details →
dryad32/100

Predictive utility of task-related functional connectivity vs. voxel activation - Data and code archive

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publicDec 2021View details →
dryad32/100

Data from: Reconstruction of a beech population bottleneck using archival demographic information and Bayesian analysis of genetic data

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publicOct 2011View details →
dryad32/100

Data from: An archive of longitudinal recordings of the vocalizations of adult Gombe chimpanzees

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publicMay 2016View details →
dryad32/100

Data from: Habitat monitoring and projections for threatened Canada lynx: linking the Landsat archive with carnivore occurrence and prey density

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publicDec 2016View details →
dryad32/100

Data from: Global connectivity patterns of the notoriously invasive mussel, Mytilus galloprovincialis Lmk using archived CO1 sequence data.

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publicMar 2019View details →
edi32/100

Vermont Department of Environmental Conservation. Vermont Water Quality Data Archive and Lake Inventory Database from 1977 to 2010. Waterbury, VT

VT’s long-term archive of lake physical and chemical water quality. Maintained on a Sequel Server platform. Database integrates measurements from 1977 to present, and is continually being updated and augmented. Numerous parameters are archived within the database.

openCC (other)Jan 2020View details →
edi32/100

A digital archive of human activity in the McMurdo Dry Valleys, Antarctica from 1902 to present

Over the last half century, the McMurdo Dry Valleys (MDV) of East Antarctica have become a globally important site for scientific research and environmental monitoring. Historical data can make important contributions to current research activities and environmental management in Antarctica, but tend to be widely scattered and difficult to access. We address this need in the MDV by compiling over 5,000 historical photographs, sketches, maps, oral interviews, publications, and other archival resources into an online digital archive. The data have been digitized and georeferenced using a standardized metadata structure, which enables intuitive searches and data discovery via an online interface. The ultimate aim of the archive is to create as comprehensive as possible a record of human activity in the MDV to support ongoing research, management, and conservation efforts. This is a valuable tool for scientists seeking to understand the dynamics of change in lakes, glaciers, and other physical systems, as well as humanistic inquire into the history of the Southern continent. In addition to providing benchmarks for understanding change over time, the data can help target field sampling for studies working under the assumption of a pristine landscape by enabling researchers to identify the date and extent of past human activities. The full database is accessible via the McMurdo Dry Valleys Long Term Ecological Research site: http://mcmurdohistory.lternet.edu/.

openOpenAug 2019View details →
zenodo28/100

Ministry of Environment of Québec (2011-2014) web archive collection derivatives

<p>Web archive derivatives of the Ministry of Environment of Qu&eacute;bec (2011-2014) collection from the <a href="https://www.banq.qc.ca/accueil/">Biblioth&egrave;que et Archives nationales du Qu&eacute;bec</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a>. Merci beaucoup BAnQ!</p> <p>These&nbsp;derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/parquet_pandas_example.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Videos</li> <li>Word&nbsp;processor&nbsp;files</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo28/100

Stonewall 50 Commemoration web archive collection derivatives

<p>Web archive derivatives of the <a href="https://archive-it.org/collections/12143">Stonewall 50 Commemoration</a> collection from <a href="https://archive-it.org/home/Columbia">Columbia University Libraries</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The&nbsp;<strong>cul-12143-parquet.tar.gz</strong> derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Word&nbsp;processor&nbsp;files<br> &nbsp;</li> </ul> <p>The <strong>cul-12143-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> 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.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo28/100

Latin American and Caribbean Contemporary Art Web Archive collection derivatives

<p>Web archive derivatives of the&nbsp;<a href="https://archive-it.org/collections/11576">Latin American and Caribbean Contemporary Art Web Archive collection</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-11576-parquet.tar.gz</strong> derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Word&nbsp;processor&nbsp;files<br> &nbsp;</li> </ul> <p>The <strong>ivy-11576-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> 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.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo28/100

Eastern Europe and Former Soviet Union Web Archive collection derivatives

<p>Web archive derivatives of the&nbsp;<a href="https://archive-it.org/collections/11360">Eastern Europe and Former Soviet Union Web Archive</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-11360-parquet.tar.gz</strong> derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Word&nbsp;processor&nbsp;files<br> &nbsp;</li> </ul> <p>The <strong>ivy-11360-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> 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.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo28/100

Extreme Right Movements in Europe web archive collection derivatives

<p>Web archive derivatives of the <a href="https://archive-it.org/collections/12172">Literary Authors from Europe and Eurasia Web Archive</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-11670-parquet.tar.gz</strong> derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Word&nbsp;processor&nbsp;files<br> &nbsp;</li> </ul> <p>The <strong>ivy-11670-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> 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.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Jan 2020View details →
zenodo28/100

National Statistical Offices and Central Banks Web Archive collection derivatives

<p>Web archive derivatives of the&nbsp;<a href="https://archive-it.org/collections/10637">National Statistical Offices and Central Banks Web Archive</a> collection from the <a href="https://archive-it.org/home/IvyPlus">Ivy Plus Libraries Confederation</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a> and <a href="https://cloud.archivesunleashed.org/">Archives Unleashed Cloud</a>.</p> <p>The <strong>ivy-10637-parquet.tar.gz</strong> derivatives&nbsp;are&nbsp;in&nbsp;the <a href="https://parquet.apache.org/">Apache&nbsp;Parquet format</a>,&nbsp;which&nbsp;is&nbsp;a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar&nbsp;storage</a> format. These derivatives are generally small enough to work with on your local machine, and can be easily converted to Pandas DataFrames. See <a href="https://github.com/archivesunleashed/notebooks/blob/master/datathon-nyc/parquet_pandas_stonewall.ipynb">this</a> notebook for examples.</p> <p><strong>Domains</strong></p> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>domain</li> <li>count</li> </ul> <p><strong>Web&nbsp;Pages</strong></p> <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> <p><strong>Web&nbsp;Graph</strong></p> <pre><code class="language-java">.webgraph()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> <p><strong>Image&nbsp;Links</strong></p> <pre><code class="language-java">.imageLinks()</code></pre> <p>Produces&nbsp;a&nbsp;DataFrame&nbsp;with&nbsp;the&nbsp;following&nbsp;columns:</p> <ul> <li>src</li> <li>image_url</li> </ul> <p><a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis"><strong>Binary&nbsp;Analysis</strong></a></p> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation&nbsp;program&nbsp;files</li> <li>Spreadsheets</li> <li>Text&nbsp;files</li> <li>Word&nbsp;processor&nbsp;files<br> &nbsp;</li> </ul> <p>The <strong>ivy-10637-auk.tar.gz </strong>derivatives<strong> </strong>are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud.</p> <ul> <li><strong>Gephi </strong>file, which can be loaded into <a href="https://gephi.org/">Gephi</a>. It will have basic characteristics already computed and a basic layout.</li> <li><strong>Raw Network</strong> file, which can also be loaded into <a href="https://gephi.org/">Gephi</a>. You will have to use that network program to lay it out yourself.</li> <li><strong>Full text</strong> 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.</li> <li><strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Jan 2020View details →

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