cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5e34e0de974c2
title: Parkes observations for project P958 semester 2019OCTS_45

description: Fast radio bursts (FRBs) continue to raise more questions than they answer. Until last year, only one burst – the only one known to repeat - had been localized to a bright radio nebula (either a young supernova remnant or pulsar wind nebulae) in a distant dwarf galaxy. Over the last two year searches with the Australian Square Kilometre Array Pathfinder (ASKAP) have detected 31 bursts, five of which have been localised to host galaxies at redshifts ranging from 0.1 to 0.5. These bursts and their hosts are very unlike the repeater, suggesting there may be a dichotomy in the population. However one of the arcminute-localised ASKAP FRBs has recently been found to repeat. Here we propose to search and study repetitions in this FRB population. Our comprehensive sample and a dense monitoring campaign of well localised bursts, at a fluence limit more than 60 times lower than that of their detections to characterise the fraction of bursts that repeat. For bursts that repeat the unique wide bandwidth observations will be used to test leading models of burst emission.
DOI: 10.5281/zenodo.3633098
title: Data model for Data Scope dataset

description: Dataset of the data model for data scopes that contains information on each class of the data scope from 30 articles from 2 journals (Digital Scholarship of the Humanities and Computational Social Sciences).
DOI: 10.5281/zenodo.3633030
title: Eastern Europe and Former Soviet Union Web Archive collection derivatives

description: Web archive derivatives of the Eastern Europe and Former Soviet Union 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-11360-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-11360-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.3633031
title: Eastern Europe and Former Soviet Union Web Archive collection derivatives

description: Web archive derivatives of the Eastern Europe and Former Soviet Union 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-11360-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-11360-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.3633107
title: Dataset containing the results of the selection process of DSH and CSS articles 2018-2020

description: Dataset containing the results of the selection process of Digital Scholarship of Humanities and Computational Social Science articles. It shows which articles use data and have a clear data section. These are used to create a corpus to help build and validate and evaluate the data model of data scopes.
DOI: 10.5281/zenodo.3633108
title: Dataset containing the results of the selection process of DSH and CSS articles 2018-2020

description: Dataset containing the results of the selection process of Digital Scholarship of Humanities and Computational Social Science articles. It shows which articles use data and have a clear data section. These are used to create a corpus to help build and validate and evaluate the data model of data scopes.
DOI: 10.6084/m9.figshare.11775318.v6
title: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment r1i1p1f1

description: Simulated significant wave height (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment (one of future scenarios) r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.5281/zenodo.3633233
title: Web Archive of Independent News Sites on Turkish Affairs derivatives

description: Derivatives of the Web Archive of Independent News Sites on Turkish Affairs collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-12911-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-12911-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.3633234
title: Web Archive of Independent News Sites on Turkish Affairs derivatives

description: Derivatives of the Web Archive of Independent News Sites on Turkish Affairs collection from the Ivy Plus Libraries Confederation. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>ivy-12911-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-12911-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.3633289
title: General web archive collection derivatives

description: Web archive derivatives of the General collection from Columbia University Libraries. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>cul-1716-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>cul-1716-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.3633290
title: General web archive collection derivatives

description: Web archive derivatives of the General collection from Columbia University Libraries. The derivatives were created with the Archives Unleashed Toolkit and Archives Unleashed Cloud. The <strong>cul-1716-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>cul-1716-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: 10.6073/pasta/f86aecfbaf15833b167d7bc532751c22
title: Vegetation cover from line intercept transects in lagomorph exclosure and shrub removal plots at the Jornada Experimental Range, southern New Mexico, USA, 1938-2001

description: This package contains data from a study to quantify vegetation dynamics in response to lagomorph and shrub exclusion on the Jornada Experimental Range from 1938-2001. Data consist of vertical line intercept measures of the perennial grasses, suffretescents and shrubs. Sixteen plots at each of 3 sites (Gravelly Ridges, Dona Ana exclosure, and Parker Tank) were established in 1938-39. Plots were 21.3 x 21.3 m with a 7.6 m buffer zone between each. Plots were divided into east and west halves and 14 randomly located 10.65 m transects were located in each half plot. Vegetation was measured using vertical line intercepts in 1938, 1947, 1956, 1960, 1967, 1989, 1995, and 2001 for the Gravelly Ridges site, and in 1938/9, 1947, 1960, 1967, and 2001 for the Parker Tank and Dona Ana sites. The treatments include lagomorph exclusion (using wire fencing), shrub removal (hand grubbing at the ground surface), furrowing (shallow, hand raked furrows to trap surface water), and seeding (broadcast applications of seeds of native perennials). Seeding and furrowing treatments were only applied in 1939. Lagomorph exclusion has persisted since establishment, and shrub removal treatments have been reapplied immediately following all years of vegetation sampling. The dataset contains information on the site, year of data collection, plot number, line number, vegetation, and number of vegetation present on each line. This study is complete. For more information, refer to: Havstad, K.M., R.P. Gibbens, C.A. Knorr, and L.W. Murray. 1999. Long-term influences of shrub removal and lagomorph exclusion on Chihuahuan Desert vegetation dynamics. Journal of Arid Environments 42: 155-166. https://doi.org/10.1006/jare.1999.0516
DOI: 10.5281/zenodo.3608341
title: Water Chemistry Profiles of Milwaukee Estuary System Sites

description: Contaminants of Emerging Concern (CECs) can be measured in waters across the United States, including the tributaries of the Great Lakes. The extent to which these contaminants affect gene expression in aquatic wildlife is unclear. This dataset presents the full hepatic transcriptomes of laboratory reared fathead minnows (<em>Pimephales promelas</em>) caged at multiple sites within the Milwaukee Estuary area of concern and control sites. Following 4 days of in situ exposure, liver tissue was removed from males at each site for RNA extraction and sequencing, yielding a total of 116 samples from which libraries were prepared, pooled, and sequenced. For each exposure site, 179 chemical analytes were also assessed. These data were created with the intention of inviting research on possible transcriptomic changes observed in aquatic species exposed to CECs. Access to both full sequencing reads of animal samples as well as water contaminant data across multiple Great Lakes sites will allow others to explore the health of these ecosystems, in support of the aims of the Great Lakes Restoration Initiative.
DOI: 10.7910/dvn/f1type
title: Replication Data for a dataset of customer complaint handling in customer dining service

description: This rich dataset of customer complaint handling is in an industrial service management context. The dataset may help leading to more realistic complaint handling theoretic and analytic studies and more effective knowledge intelligence approaches for handling recommendations. (2020-01-31)
DOI: 10.7910/dvn/f1type/obrzzz
title: 00dataset of CCH - 1070_2020_Chinese.xlsx

description: :unav
DOI: 10.26300/rv2a-kp40
title: Data from "Automated identification of multinucleated germ cells with U-Net"
DOI: 10.26300/zn7v-j972
title: Stitched.tar
DOI: 10.5281/zenodo.3633373
title: CroCoord v1.0 – an Android application for nearly real-time 3D PPP multi-frequency multi-GNSS static surveying using smartphones

description: Two hour of GNSS data collected on 31st December 2019 on one point with Android dual-frequency smartphone Xiaomi Mi Mix-3 and permanent station in the surrounding of the measured point.
DOI: 10.5281/zenodo.3633374
title: CroCoord v1.0 – an Android application for nearly real-time 3D PPP multi-frequency multi-GNSS static surveying using smartphones

description: Two hour of GNSS data collected on 31st December 2019 on one point with Android dual-frequency smartphone Xiaomi Mi Mix-3 and permanent station in the surrounding of the measured point.
DOI: 10.5281/zenodo.3633277
title: Towards understanding customer co-creation experience for mass customization - User Data

description: Towards understanding customer co-creation experience for mass customization - Data gathered during the user tests
DOI: 10.5281/zenodo.3633278
title: Towards understanding customer co-creation experience for mass customization - User Data

description: Towards understanding customer co-creation experience for mass customization - Data gathered during the user tests
DOI: 10.5281/zenodo.3568382
title: A Comparative Study of Multi-objective Optimization Methodologies for Molecular and Process Design

description: The files contain the set of solutions generated with various multi-objective optimization methods.
DOI: 10.5281/zenodo.3568383
title: A Comparative Study of Multi-objective Optimization Methodologies for Molecular and Process Design

description: The files contain the set of solutions generated with various multi-objective optimization methods.
DOI: 10.3886/e117464v1
title: County Business Patterns Database

description: The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: employment for the majority of county-industry cells is suppressed to protect confidentiality; and industry classifications change over time. We address both issues. First, we develop a linear programming method that exploits the large set of adding-up constraints implicit in the hierarchical arrangement of the data to impute missing employment. Second, we provide concordances to map all data to a consistent set of industry codes.<br><br>In this repository, we provide the original CBP data and the imputed data files for all years from 1977 to 2016. We also provide industry concordances for the various SIC and NAICS vintages.<br><br>Github Repo with imputation codes: https://github.com/fpeckert/cbp_database_public<br><br>
description: The data were published by the County Business Pattern program at the U.S. Census Bureau.