cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/rxjvzn
title: Systematics and Taxonomy of Tonatia saurophila Koopman & Williams, 1951 (Chiroptera, Phyllostomidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Basantes, Mateo, Tinoco, Nicolas, Velazco, Paul M., Hofmann, Melinda J., Rodriguez-Posada, Miguel E., Camacho, M. Alejandra (2020): Systematics and Taxonomy of Tonatia saurophila Koopman & Williams, 1951 (Chiroptera, Phyllostomidae). ZooKeys 915: 59-86, DOI: http://dx.doi.org/10.3897/zookeys.915.46995, URL: http://dx.doi.org/10.3897/zookeys.915.46995
DOI: 10.5281/zenodo.3678550
title: Mitigating Turnover with Code Review Recommendation: Balancing Expertise, Workload, and Knowledge Distribution

description: Data for the paper: Ehsan Mirsaeedi and Peter C. Rigby. 2020. Mitigating Turnover with Code Review Recommendation: Balancing Expertise, Workload, and Knowledge Distribution. In 42nd International Conference on Software Engineering (ICSE ’20), May 23–29, 2020, Seoul, Republic of Korea. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3377811.3380335 Code and tools available at <pre>https://doi.org/10.5281/zenodo.3678570</pre>
DOI: 10.5281/zenodo.3678551
title: Mitigating Turnover with Code Review Recommendation: Balancing Expertise, Workload, and Knowledge Distribution

description: Data for the paper: Ehsan Mirsaeedi and Peter C. Rigby. 2020. Mitigating Turnover with Code Review Recommendation: Balancing Expertise, Workload, and Knowledge Distribution. In 42nd International Conference on Software Engineering (ICSE ’20), May 23–29, 2020, Seoul, Republic of Korea. ACM, New York, NY, USA, 13 pages. https://doi.org/10.1145/3377811.3380335 Code and tools available at <pre>https://doi.org/10.5281/zenodo.3678570</pre>
DOI: 10.15468/uva1gt
title: A taxonomic study on Epedanidae from Thailand including functional aspects of male genital morphology (Opiliones, Laniatores)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Chao, Martens, Jochen (2020): A taxonomic study on Epedanidae from Thailand including functional aspects of male genital morphology (Opiliones, Laniatores). ZooKeys 915: 25-58, DOI: http://dx.doi.org/10.3897/zookeys.915.47626, URL: http://dx.doi.org/10.3897/zookeys.915.47626
DOI: 10.15468/m0c6tr
title: Oenopia shirkuhensis sp. nov. (Coleoptera, Coccinellidae) from Iran mimicking Adalia bipunctata

description: This dataset contains the digitized treatments in Plazi based on the original journal article Khormizi, Mehdi Zare, Nedved, Oldrich (2020): Oenopia shirkuhensis sp. nov. (Coleoptera, Coccinellidae) from Iran mimicking Adalia bipunctata. ZooKeys 915: 107-116, DOI: http://dx.doi.org/10.3897/zookeys.915.46390, URL: http://dx.doi.org/10.3897/zookeys.915.46390
DOI: 10.25919/5e5583f3cc458
title: Parkes observations for project P996 semester 2019OCTS_04

description: We propose to measure the polarisation of distant southern pulsars (distance&gt;5kpc) using the Ultra-Wideband Low (UWL) receiver to investigate the structure of the Galactic disk magnetic field in and between distant spiral arms. Previous Parkes pulsar observations have revealed field reversals in nearby arm and interarm regions. We wish to exploit the greater sensitivity of the UWL receiver to extend this to more distant regions, thereby allowing us to distinguish more clearly between different models for the structure of the disk field. Because of the intrinsic uncertainty in DM-based pulsar distances, averaging data over groups of pulsars is necessary to confidently demonstrate any magnetic-field reversals. This work will have important implications for theories for the generation of Galactic magnetic fields and for other areas, e.g., cosmic-ray physics, which depend on a knowledge of the large-scale Galactic magnetic field for their interpretation.
DOI: 10.25919/5e5584298670d
title: Parkes observations for project P595 semester 2019OCTS_07

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.3886/e111681v1
title: Data & Code for: Non-dogmatic Social Discounting

description: This repository contains the Matlab code and data used to plot the figures in "Non-dogmatic social discounting". There are three files: <br><br>a) “Drupp_data.xlsx” — data provided by the authors of Drupp et. al. (2018). The original paper contains a code book, available at https://aeaweb.org/doi/10.1257/pol.20160240.data <br><br>b) "deltaeta_data.mat" -- a Matlab data file containing the surveyed values of "delta" (pure rate of social time preference) and "eta" (elasticity of marginal utility), reported in the Excel file above. <br><br>c) "NDSD.m" -- a Matlab script that plots the figures displayed in the paper, and the online appendix. (Depends on deltaeta_data.mat) <br><br>To replicate the figures, place “NDSD.m” and “deltaeta_data.mat” in the same folder, and execute NDSD.m from the Matlab command line.<br><br>The paper's abstract is as follows:<br><br>The long-run social discount rate has an enormous effect on the value of climate mitigation, infrastructure projects, and other long-term public policies. Its value is however highly contested, in part because of normative disagreements about social time preferences. I develop a theory of `non-dogmatic' social planners, who are insecure in their current normative judgments and entertain the possibility that they may change. Although each non-dogmatic planner advocates an idiosyncratic theory of intertemporal social welfare, all such planners agree on the long-run social discount rate. Non-dogmatism thus goes some way towards resolving normative disagreements, especially for long-term public projects.<br>
DOI: 10.3886/e111681
title: Data & Code for: Non-dogmatic Social Discounting

description: This repository contains the Matlab code and data used to plot the figures in "Non-dogmatic social discounting". There are three files: <br><br>a) “Drupp_data.xlsx” — data provided by the authors of Drupp et. al. (2018). The original paper contains a code book, available at https://aeaweb.org/doi/10.1257/pol.20160240.data <br><br>b) "deltaeta_data.mat" -- a Matlab data file containing the surveyed values of "delta" (pure rate of social time preference) and "eta" (elasticity of marginal utility), reported in the Excel file above. <br><br>c) "NDSD.m" -- a Matlab script that plots the figures displayed in the paper, and the online appendix. (Depends on deltaeta_data.mat) <br><br>To replicate the figures, place “NDSD.m” and “deltaeta_data.mat” in the same folder, and execute NDSD.m from the Matlab command line.<br><br>The paper's abstract is as follows:<br><br>The long-run social discount rate has an enormous effect on the value of climate mitigation, infrastructure projects, and other long-term public policies. Its value is however highly contested, in part because of normative disagreements about social time preferences. I develop a theory of `non-dogmatic' social planners, who are insecure in their current normative judgments and entertain the possibility that they may change. Although each non-dogmatic planner advocates an idiosyncratic theory of intertemporal social welfare, all such planners agree on the long-run social discount rate. Non-dogmatism thus goes some way towards resolving normative disagreements, especially for long-term public projects.<br>
DOI: 10.5281/zenodo.3687261
title: Coalition Avenir Québec (CAQ) web archive collection derivatives

description: Web archive derivatives of the Coalition Avenir Québec (CAQ) collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.5281/zenodo.3687262
title: Coalition Avenir Québec (CAQ) web archive collection derivatives

description: Web archive derivatives of the Coalition Avenir Québec (CAQ) collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.6073/pasta/e20eea8399596f4e2ce670b8a8afb502
title: Ecosystem responses to hurricanes
DOI: 10.26300/krw3-jc12
title: Data Tables: Effects of Dissolved Gases on the Freezing Dynamics of Ocean Worlds
DOI: 10.18434/m31475
title: Color FERET Database

description: The DOD Counterdrug Technology Program sponsored the Facial Recognition Technology (FERET) program and development of the FERET database. The National Institute of Standards and Technology (NIST) is serving as Technical Agent for distribution of the FERET database. The goal of the FERET program is to develop new techniques, technology, and algorithms for the automatic recognition of human faces. As part of the FERET program, a database of facial imagery was collected between December 1993 and August 1996. The database is used to develop, test, and evaluate face recognition algorithms.
DOI: 10.6073/pasta/7c76321a5a230adda4ab475173c40928
title: Skin-blubber biopsy samples and associated demographic data collected from cetaceans encountered along the Western Antarctic Peninsula (WAP), 2010 – present.

description: The collection of biopsy samples from cetaceans within the near-shore waters of the Western Antarctic Peninsula (WAP) has been led by Dr. Ari Friedlaender starting in 2010. The Friedlaender group just recently joined the Palmer LTER in 2015, but prior collection of samples was leveraged from previous NSF support and existing collaborations with Antarctic tour operations. Collection methods have been kept consistent, as the research group attempts to sample every whale encountered. Our current data set consists of three targeted species for collection, the humpback whale (Megaptera novaeangliae), Antarctic minke whale (Balaenoptera bonaerensis), and killer whales (Orcinus orca). Sample are kept frozen at -80°C until analysis following the completion of annual field work. Collection of these samples is still ongoing. The biopsy ID is the unique identifier for each collected sample and is used as the common field among the different analyses that are conducted on the sample to look at population and individual level demographic information. From these tissue samples, we can extract nuclear and mitochondrial DNA which provides us with information on the genetic sex, genotype (gene fingerprint), as well as haplotype of the individuals sampled. Additionally, from the blubber layer of the biopsy sample, our group can now successfully detect and quantify sex-steroid hormones, one of which is progesterone, that allows us to make inference on the pregnancy status of sampled individuals. Lastly, more recent work has begun to assess the microbial communities on the skin layer of the biopsy samples. Combined, these biological analyses provide an in depth understanding of the current population demographics and dynamics in these recovering marine species.
DOI: 10.25919/5e558dad3a835
title: Parkes observations for project P1032 semester 2019OCTS_12

description: We propose timing observations of southern double neutron star (DNS) systems to obtain precise estimates of the component masses and thus increase the statistics of neutron star mass distribution. The improved sensitivity of the Ultra Wideband Low (UWL) receiver will provide a 3X increase in the precision of the time of arrivals (ToAs) of the pulses compared to the multibeam data. This has the potential to perform quick measurements of masses for a number of binary systems in the next 1-2 years. We will also use MeerKAT observations at crucial orbital phases to increase our chances of mass measurements. Increase in the number of measured NS masses has significant implications for understanding NS internal structure and for stellar and binary evolution physics.
DOI: 10.5281/zenodo.3687264
title: Sites of the Quebec Ministry of Immigration from 2012 to 2018 web archive collection derivatives

description: Web archive derivatives of the Sites of the Quebec Ministry of Immigration from 2012 to 2018 collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.5281/zenodo.3687263
title: Sites of the Quebec Ministry of Immigration from 2012 to 2018 web archive collection derivatives

description: Web archive derivatives of the Sites of the Quebec Ministry of Immigration from 2012 to 2018 collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.5281/zenodo.3687255
title: Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 web archive collection derivatives

description: Web archive derivatives of the Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.5281/zenodo.3687256
title: Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 web archive collection derivatives

description: Web archive derivatives of the Quebec Ministry of Agriculture, Fisheries and Food from 2012-2018 collection from the Bibliothèque et Archives nationales du Québec. The derivatives were created with the Archives Unleashed Toolkit. Merci beaucoup BAnQ! These 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 Videos Word processor files
DOI: 10.18434/m31450
title: Multiple Encounter Dataset (MEDS-II) - NIST Special Database 32

description: Multiple Encounter Dataset (MEDS-II) is a test corpus organized from an extract of submissions of deceased persons with prior multiple encounters. MEDS is provided to assist the FBI and partner organizations refine tools, techniques, and procedures for face recognition as it supports Next Generation Identification (NGI), forensic comparison, training, analysis, face image conformance, and inter-agency exchange standards. The MITRE Corporation (MITRE) prepared MEDS in the FBI Data Analysis Support Laboratory (DASL) with support from the FBI Biometric Center of Excellence.
DOI: 10.3886/e115968v3
title: Workforce Capacity in Municipal Government

description: Please cite the corresponding article if this dataset is used to support additional findings:<br><br>Leon-Moreta, Agustin, and Vittoria R. Totaro. “Workforce Capacity in Municipal Government.” Public Administration Review, February 19, 2020. https://doi.org/10.1111/puar.13155.<br>The data described here were used in the analysis and findings reported in the article reference above. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings.<br>
description: Municipalities in the United States
DOI: 10.5519/qd.7h74ovw3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1344340 records)
DOI: 10.5281/zenodo.3687278
title: PERFORM Dataset; one control subject

description: Functional Magnetic Resonance Imaging (fMRI), electroencephalography (EEG), sleep and nutrition assessments were performed on one male control subject. This registered access dataset is currently accessible on request only.