cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3632912
title: Independent Documentary Filmmakers from China, Hong Kong, and Taiwan Web Archive collection derivatives

description: Web archive derivatives of the Literary Authors from Europe and Eurasia Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-12126-parquet.tar.gz</strong> 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. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <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: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Word processor files<br> The <strong>ivy-12126-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <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. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.15468/08bgfd
title: A new species of armored scale, Fiorinia yongxingensis (Hemiptera: Coccomorpha Diaspididae) from Hainan Province, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Di, Cai, Bo, Feng, Jinian (2020): A new species of armored scale, Fiorinia yongxingensis (Hemiptera: Coccomorpha Diaspididae) from Hainan Province, China. Zootaxa 4729 (3): 388-400, DOI: https://doi.org/10.11646/zootaxa.4729.3.6
DOI: 10.15468/jqya1l
title: New Caddisflies (Insecta, Trichoptera) from the Krabi and Phang Nga Provinces southern Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Malicky, Hans, Ivanov, Vladimir D., Melnitsky, Stanislav I. (2020): New Caddisflies (Insecta, Trichoptera) from the Krabi and Phang Nga Provinces southern Thailand. Zootaxa 4729 (3): 401-415, DOI: https://doi.org/10.11646/zootaxa.4729.3.7
DOI: 10.15468/xipua4
title: Rediscovery of Hansenomysis lucifugus (Faxon, 1893) (Crustacea, Mysida Petalophthalmidae) in the eastern Pacific

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hendrickx, Michel E., Hernández-Payán, José-Carlos (2020): Rediscovery of Hansenomysis lucifugus (Faxon, 1893) (Crustacea, Mysida Petalophthalmidae) in the eastern Pacific. Zootaxa 4729 (3): 416-428, DOI: https://doi.org/10.11646/zootaxa.4729.3.8
DOI: 10.15151/esrf-es-187197141
title: Cryo-EM of low-density lipoprotein
DOI: 10.7910/dvn/aoguia/a1bci6
title: A10 - Interactive alluvial version of Figure 7

description: Fig 7. Reconfigurations of political communities between June 2016 and April 2017. Several major newspaper headlines have been added to shed light on the observed bifurcations. The labels of communities that were still active during the second round have been added in large characters to improve their readability. Each vertical bar corresponds to a political community on Twitter, labeled with the accounts of candidates who were active in the community. The bar’s height is proportional to the number of Twitter accounts belonging to this community. These are computed every Monday. https://doi.org/10.1371/journal.pone.0201879.g007 To use this file : - remove the post fix _removethispostfix to get a proper zip file, - unzip - open under a localhost
DOI: 10.6073/pasta/eca8837fdbfc4dde660181373c3b6f4f
title: North Temperate Lakes LTER Regional Survey Water Color Scans 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. Color is measured in water samples that are filtered in the field through 0.45 um nucleopore membrane filters. A spectrophotometer is used to quantify color in the lab as absorbance (unitless) at 1 nm intervals between the wavelengths of 200 and 800 nm. Absorbance data are considered suspect for values greater than 2.
DOI: 10.25345/c52x1t
title: MassIVE MSV000084876 - Data wiff Omar S.AHMED for scientific discussion
title: Massive data set for scientific discussion between France and united states of America
DOI: 10.5281/zenodo.3629536
title: Quantized versions of fastText embeddings for 158 languages

description: These are compressed (quantized) versions of word embeddings for 158 languages originally available from https://fasttext.cc/docs/en/crawl-vectors.html . Following steps were performed to reduce file size: the output matrix is discarded the quantization is performed with parameters "-qnorm -dsub 1" The average cosine similarity between original and quantized vectors for frequent words is 0.99. The file size is 4-6 times smaller.
description: {"references": ["E. Grave, P. Bojanowski, P. Gupta, A. Joulin, T. Mikolov, Learning Word Vectors for 157 Languages. arXiv:1802.06893"]}
DOI: 10.5281/zenodo.3633160
title: Extreme Right Movements in Europe web archive collection derivatives

description: Web archive derivatives of the Literary Authors from Europe and Eurasia Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-11670-parquet.tar.gz</strong> 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. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <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: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Word processor files<br> The <strong>ivy-11670-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <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. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3633161
title: Extreme Right Movements in Europe web archive collection derivatives

description: Web archive derivatives of the Literary Authors from Europe and Eurasia Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-11670-parquet.tar.gz</strong> 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. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <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: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Word processor files<br> The <strong>ivy-11670-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <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. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3633021
title: Popline and K4Health Web Archive collection derivatives

description: Web archive derivatives of the Popline and K4Health Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-12006-parquet.tar.gz</strong> 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. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <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: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Word processor files<br> The <strong>ivy-12006-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <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. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3633022
title: Popline and K4Health Web Archive collection derivatives

description: Web archive derivatives of the Popline and K4Health Web Archive collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-12006-parquet.tar.gz</strong> 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. <strong>Domains</strong> <pre><code class="language-java">.webpages().groupBy(ExtractDomainDF($"url").alias("url")).count().sort($"count".desc)</code></pre> Produces a DataFrame with the following columns: domain count <strong>Web Pages</strong> <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: crawl_date url mime_type_web_server mime_type_tika content <strong>Web Graph</strong> <pre><code class="language-java">.webgraph()</code></pre> Produces a DataFrame with the following columns: crawl_date src dest anchor <strong>Image Links</strong> <pre><code class="language-java">.imageLinks()</code></pre> Produces a DataFrame with the following columns: src image_url <strong>Binary Analysis</strong> Audio Images PDFs Presentation program files Spreadsheets Text files Word processor files<br> The <strong>ivy-12006-auk.tar.gz </strong>derivatives<strong> </strong>are the standard set of web archive derivatives produced by the Archives Unleashed Cloud. <strong>Gephi </strong>file, which can be loaded into Gephi. It will have basic characteristics already computed and a basic layout. <strong>Raw Network</strong> file, which can also be loaded into Gephi. You will have to use that network program to lay it out yourself. <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. <strong>Domains count</strong> file. A text file containing the frequency count of domains captured within your web archive.
DOI: 10.5281/zenodo.3633227
title: Echidna Modular Polynomial Database

description: Database of modular polynomials defining X₀(N): - ModPolAtk.tar, Atkin modular polynomials<br> - ModPolCls.tar, Classical modular polynomials<br> - ModPolEta.tar, Eta modular polynomials<br> - ModPolWeb.tar, Weber modular polynomials Source: http://iml.univ-mrs.fr/~kohel/dbs/index.html
DOI: 10.5281/zenodo.3633228
title: Echidna Modular Polynomial Database

description: Database of modular polynomials defining X₀(N): - ModPolAtk.tar, Atkin modular polynomials<br> - ModPolCls.tar, Classical modular polynomials<br> - ModPolEta.tar, Eta modular polynomials<br> - ModPolWeb.tar, Weber modular polynomials Source: http://iml.univ-mrs.fr/~kohel/dbs/index.html
DOI: 10.5281/zenodo.3633036
title: Data from the ATLASM5 Research Station from 13-07 to 27-08 and 19-09 to 20-11, 2017

description: PI_NAME = Abdelwahid MELLOUKI<br> <br> INSTITUTE = CNRS-ICARE<br> EMAIL=mellouki@cnrs-orleans.fr<br> ADDRESS=1C Av. de la Recherche Scientifique, CS 50060, 45071 Orl¨¦ans cedex 2 TITLE = Data from the ATLASM5 Research Station from 13-07 to 27-08 and 19-09 to 20-11, 2017<br> DATA_CATEGORY=Field_ATLAS<br> Project=MARSU<br> <br> TYPE_OF_DATA= FIELD MEASUREMENT<br> STATUS_OF_FILE=FINAL<br> VERSION=1.0<br> PLATFORM=ATLAS<br> NAME_OF_PLATFORM=MARSU<br> DESCRIPTION=https://marsu-h2020.org/ Time Range=since 2017-07-14 00:00:00 to 2017-08-14 UTC<br> and 2017-09-10 00:00:00 to 2017-11-20 UTC
DOI: 10.5281/zenodo.3633037
title: Data from the ATLASM5 Research Station from 13-07 to 27-08 and 19-09 to 20-11, 2017

description: PI_NAME = Abdelwahid MELLOUKI<br> <br> INSTITUTE = CNRS-ICARE<br> EMAIL=mellouki@cnrs-orleans.fr<br> ADDRESS=1C Av. de la Recherche Scientifique, CS 50060, 45071 Orl¨¦ans cedex 2 TITLE = Data from the ATLASM5 Research Station from 13-07 to 27-08 and 19-09 to 20-11, 2017<br> DATA_CATEGORY=Field_ATLAS<br> Project=MARSU<br> <br> TYPE_OF_DATA= FIELD MEASUREMENT<br> STATUS_OF_FILE=FINAL<br> VERSION=1.0<br> PLATFORM=ATLAS<br> NAME_OF_PLATFORM=MARSU<br> DESCRIPTION=https://marsu-h2020.org/ Time Range=since 2017-07-14 00:00:00 to 2017-08-14 UTC<br> and 2017-09-10 00:00:00 to 2017-11-20 UTC
DOI: 10.25345/c5z689
title: MassIVE MSV000084877 - Arabinofuranosidase pulldowns from basidiomycete secretomes
title: This dataset contains eight separate LC-MS/MS runs performed on samples prepared from four different secretomes collected from the cultures of four different basidiomycetes grown on aspen pulp. There are two runs for each secretome. One is the total secretome (TS) prepared by trypsin digestion of the total acetone-precipitated protein found in the secretome. The other is the pulldown (PD) which was prepared by on-bead trypsin digestion following treatment of the secretome with a biotinylated covalent probe for retaining a-l-arabinofuranosidases and pulldown.
DOI: 10.6073/pasta/1c1ed48727a8b71982bf0a74bfdea7f2
title: North Temperate Lakes LTER Regional Survey Water Chemistry 2015 - current

description: The Northern Highlands Lake District (NHLD) is one of the few regions in the world with periodic comprehensive water chemistry data from hundreds of lakes spanning almost a century. Birge and Juday directed the first comprehensive assessment of water chemistry in the NHLD, sampling more than 600 lakes in the 1920s and 30s. These surveys have been repeated by various agencies and we now have data from the 1920s (UW), 1960s (WDNR), 1970s (EPA), 1980s (EPA), 1990s (EPA), and 2000s (NTL). The 28 lakes sampled as part of the Regional Lake Survey have been sampled by at least four of these regional surveys including the 1920s Birge and Juday sampling efforts. These 28 lakes were selected to represent a gradient of landscape position and shoreline development, both of which are important factors influencing social and ecological dynamics of lakes in the NHLD. This long-term regional dataset will lead to a greater understanding of whether and how large-scale drivers such as climate change and variability, lakeshore residential development, introductions of invasive species, or forest management have altered regional water chemistry. The regional lakes survey in 2015 followed the standard LTER protocol for standard water chemistry and biology. Samples were taken as close to solar noon as possible. Seven lakes had replicates performed, which were chosen at random.