Find research datasets worth reusing

Elucidation of the Atroposelectivity in the Synthesis of Axially Chiral Thiohydantoin Derivatives

Recently, Sarigul and Dogan have synthesized a number of enantiomerically enriched axially chiral atropoisomeric 2-thiohydantoins by the reaction of L-amino acid ester salts and o-aryl isothiocyanates in the presence of triethyl amine (TEA) in dichloromethane. The nonaxially chiral derivative 5-methyl-3-phenyl-2-thiohydantoin gave a racemic product whereas the axially chiral 5-methyl-3-o-bromophenyl-2-thiohydantoin was less prone to racemize at C5 of the heterocyclic ring. In this study, we present a computational study (M06-2X/6-311+G(d,p) for C, H, O, N and S; M06-2X/6-311++G(3df,3pd) for Br) in order to propose plausible mechanisms for the racemization and cyclization steps for  2-thiohydantoin derivatives. The study includes rationalization based on steric as well as the electrostatic effects to elucidate the epimerization differences at C5.

Web Archive of Independent News Sites on Turkish Affairs derivatives

Derivatives of the <a href="https://archive-it.org/collections/12911">Web Archive of Independent News Sites on Turkish Affairs</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>. The ivy-12911-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-12911-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Popline and K4Health Web Archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/12006">Popline and K4Health 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>. The ivy-12006-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-12006-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

opencc-by-4.0Mar 2018View details →

Neurogliaform cortical interneurons derive from cells in the preoptic area

Excel document containing the raw dataset used in each figures and links to morphology reconstructions

Independent Documentary Filmmakers from China, Hong Kong, and Taiwan Web Archive collection derivatives

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>. The ivy-12126-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-12126-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Literary Authors from Europe and Eurasia Web Archive collection derivatives

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>. The ivy-12172-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-12172-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Queer Japan Web Archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/11854">Queer Japan 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>. The ivy-12172-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Videos</li> <li>Word processor files  </li> </ul> The ivy-11854-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

General web archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/1716">General</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>. The cul-1716-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The cul-1716-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Global Webcomics Web Archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/10181">Global Webcomics 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>. The ivy-10181-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-10181-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Brazilian Presidential Transition (2018) Web Archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/11549">Brazilian Presidential Transition (2018) 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>. The ivy-11549-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-11549-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Collaborative Architecture, Urbanism, and Sustainability Web Archive (CAUSEWAY) collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/4638">Collaborative Architecture, Urbanism, and Sustainability Web Archive (CAUSEWAY)</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>. The ivy-4638-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-4638-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 web archive collection derivatives

Web archive derivatives of the Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 collection from the <a href="https://www.banq.qc.ca/accueil/">Bibliothèque et Archives nationales du Québec</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a>. Merci beaucoup BAnQ! These derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Videos</li> <li>Word processor files</li> </ul>

Sites of the Quebec Ministry of Immigration from 2012 to 2018 web archive collection derivatives

Web archive derivatives of the Sites of the Quebec Ministry of Immigration from 2012 to 2018 collection from the <a href="https://www.banq.qc.ca/accueil/">Bibliothèque et Archives nationales du Québec</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a>. Merci beaucoup BAnQ! These derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Videos</li> <li>Word processor files</li> </ul>

Contemporary Composers Web Archive (CCWA) web archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/4019">Contemporary Composers Web Archive (CCWA)</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>. The ivy-4019-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The ivy-4019-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Parti Québécois (PQ) web archive collection derivatives

Web archive derivatives of the Parti Québécois (PQ) collection from the <a href="https://www.banq.qc.ca/accueil/">Bibliothèque et Archives nationales du Québec</a>. The derivatives were created with the <a href="https://github.com/archivesunleashed/aut/">Archives Unleashed Toolkit</a>. Merci beaucoup BAnQ! These derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Audio</li> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files</li> </ul>

Rare Book and Manuscript Library web archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/2766">Rare Book and Manuscript Library</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>. The cul-2766-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Word processor files  </li> </ul> The cul-2766-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Burke Library New York City Religions web archive collection derivatives

Web archive derivatives of the <a href="https://archive-it.org/collections/1945">Burke Library New York City Religions</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>. The cul-1945-parquet.tar.gz derivatives are in the <a href="https://parquet.apache.org/">Apache Parquet format</a>, which is a <a href="http://en.wikipedia.org/wiki/Column-oriented_DBMS">columnar 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. Domains <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: <ul> <li>domain</li> <li>count</li> </ul> Web Pages <pre><code class="language-java">.webpages().select($"crawl_date", $"url", $"mime_type_web_server", $"mime_type_tika", RemoveHTMLDF(RemoveHTTPHeaderDF(($"content"))).alias("content"))</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>url</li> <li>mime_type_web_server</li> <li>mime_type_tika</li> <li>content</li> </ul> Web Graph <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: <ul> <li>crawl_date</li> <li>src</li> <li>dest</li> <li>anchor</li> </ul> Image Links <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: <ul> <li>src</li> <li>image_url</li> </ul> <a href="https://github.com/archivesunleashed/aut-docs/blob/master/current/binary-analysis.md#binary-analysis">Binary Analysis</a> <ul> <li>Images</li> <li>PDFs</li> <li>Presentation program files</li> <li>Spreadsheets</li> <li>Text files</li> <li>Word processor files  </li> </ul> The cul-1945-auk.tar.gz derivatives are the <a href="https://cloud.archivesunleashed.org/derivatives">standard set of web archive derivatives</a> produced by the Archives Unleashed Cloud. <ul> <li>Gephi 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>Raw Network 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>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.</li> <li>Domains count file. A text file containing the frequency count of domains captured within your web archive.</li> </ul>

Adaptation time to magnified flood hazards underestimated when derived from tide gauge records [dataset]

This dataset contains the data supporting the manuscript Lambert et al., Adaptation time to magnified flood hazards underestimated when derived from tide gauge records, submitted to Environmental Research Letters. All files contain two main variables: AF is the amplification factor as a function of [station, time, scenario] DT is the doubling time as a function of [station, scenario] Note that these files contain data of all 299 available stations, rather than the subset of 130 presented in the manuscript. Filenames: diss_AWL.nc     Average Water Level at dissipative beaches diss_IWL.nc     Instantaneous Water Level at dissipative beaches grd_AWL.nc      Average Water Level at gentle rocky dikes grd_IWL.nc      Instantaneous Water Level at gentle rocky dikes harbour.nc      Average and Instantaneous Water Level at harbours, excluding wave contributions srd_AWL.nc      Average Water Level at steep rocky dikes srd_IWL.nc      Instantaneous Water Level at steep rocky dikes ssb_AWL.nc      Average Water Level at steep sandy beaches ssb_IWL.nc      Instantaneous Water Level at steep sandy beaches tidegauge.nc    Tide gauge-based analysis

Derived data and code for Deines et al. 2020, Agricultural Water Management

This codebase accompanies the paper: Deines, J.M., M.E. Schipanski, B. Golden, S.C. Zipper, S. Nozari, C. Rottler, B. Guerrero, & V. Sharda. 2020. Transitions from irrigated to dryland agriculture in the Ogallala Aquifer: Land use suitability and regional economic impacts. Agricultural Water Management 233:106061. DOI: <a href="https://doi.org/10.1016/j.agwat.2020.106061">https://doi.org/10.1016/j.agwat.2020.106061</a> Data needed to reproduce the figures from Deines et al. 2020 can be found in the <code>data</code> folder. See the Readme.md or <a href="https://github.com/jdeines/Deines_etal_2020_agwat_OgallalaTransistions">https://github.com/jdeines/Deines_etal_2020_agwat_OgallalaTransistions</a> for more information.

soilmap_simple: a simplified and standardized derivative of the digital soil map of the Flemish Region

The data source <code>soilmap_simple</code> is a simplified and standardized derived form of the '<a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/5c129f2d-4498-4bc3-8860-01cb2d513f8f">digital soil map of the Flemish Region</a>' (the shapefile of which we named <code>soilmap</code>, for analytical workflows in R) published by 'Databank Ondergrond Vlaanderen’ (DOV). It is a GeoPackage that contains a spatial polygon layer ‘<code>soilmap_simple</code>’ in the Belgian Lambert 72 coordinate reference system (EPSG-code <a href="https://epsg.io/31370">31370</a>), plus a non-spatial table ‘<code>explanations</code>’ with the meaning of category codes that occur in the spatial layer. Further documentation about the digital soil map of the Flemish Region is available in Van Ranst & Sys (2000) and Dudal et al. (2005). This version of <code>soilmap_simple</code> was derived from version '<code>soilmap_2017-06-20</code>' (<a href="https://doi.org/10.5281/zenodo.3387008">Zenodo DOI</a>) as follows: <ul> <li>all attribute variables received English names (purpose of standardization), starting with prefix <code>bsm_</code> (referring to the 'Belgian soil map');</li> <li>attribute variables were reordered;</li> <li>the values of the morphogenetic substrate, texture and drainage variables (<code>bsm_mo_substr</code>, <code>bsm_mo_tex</code> and <code>bsm_mo_drain</code> + their <code>_explan</code> counterparts) were filled for most features in the 'coastal plain' area. <ul> <li>To derive morphogenetic texture and drainage levels from the geomorphological soil types, a conversion table by Bruno De Vos & Carole Ampe was applied (for earlier work on this, see Ampe 2013).</li> <li>Substrate classes were copied over from <code>bsm_ge_substr</code> into <code>bsm_mo_substr</code> (<code>bsm_ge_substr</code> already followed the categories of <code>bsm_mo_substr</code>).</li> </ul> These steps coincide with the approach that had been taken to construct the <code>Unitype</code> variable in the <code>soilmap</code> data source;</li> <li>only a minimal number of variables were selected: those that are most useful for analytical work.</li> </ul> See R-code in the GitHub repository <a href="https://github.com/inbo/n2khab-preprocessing/tree/b3c6696/src/generate_soilmap_simple">'n2khab-preprocessing' at commit b3c6696</a> for the creation from the <code>soilmap</code> data source. A reading function to return <code>soilmap_simple</code> (this data source) or <code>soilmap</code> in a standardized way into the R environment is provided by the R-package <a href="https://inbo.github.io/n2khab/">n2khab</a>. The attributes of the spatial polygon layer <code>soilmap_simple</code> can have <code>mo_</code> in their name to refer to the Belgian Morphogenetic System: <ul> <li><code>bsm_poly_id</code>: unique polygon ID (numeric)</li> <li><code>bsm_region</code>: name of the region</li> <li><code>bsm_converted</code>: boolean. Were morphogenetic texture and drainage variables (<code>bsm_mo_tex</code> and <code>bsm_mo_drain</code>) derived from a conversion table (see above)? Value <code>TRUE</code> is largely confined to the 'coastal plain' areas.</li> <li><code>bsm_mo_soilunitype</code>: code of the soil type (applying morphogenetic codes within the coastal plain areas when possible, just as for the following three variables)</li> <li><code>bsm_mo_substr</code>: code of the soil substrate</li> <li><code>bsm_mo_tex</code>: code of the soil texture category</li> <li><code>bsm_mo_drain</code>: code of the soil drainage category</li> <li><code>bsm_mo_prof</code>: code of the soil profile category</li> <li><code>bsm_mo_parentmat</code>: code of a variant regarding the parent material</li> <li><code>bsm_mo_profvar</code>: code of a variant regarding the soil profile</li> </ul> The non-spatial table <code>explanations</code> has following variables: <ul> <li><code>subject</code>: attribute name of the spatial layer: either <code>bsm_mo_substr</code>, <code>bsm_mo_tex</code>, <code>bsm_mo_drain</code>, <code>bsm_mo_prof</code>, <code>bsm_mo_parentmat</code> or <code>bsm_mo_profvar</code></li> <li><code>code</code>: category code that occurs as value for the corresponding attribute in the spatial layer</li> <li><code>name</code>: explanation of the value of <code>code</code></li> </ul>