cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5859514
title: uprolls2018-35

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.6000544
title: Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations

description: The spreadsheets of monthly data used for Figure 2 in the paper " <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>" submitted to Geophysical Research Letters by the authors, and an explanatory text file named "Readme".
DOI: 10.5281/zenodo.6000543
title: Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations

description: The spreadsheets of monthly data used for Figure 2 in the paper " <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>" submitted to Geophysical Research Letters by the authors, and an explanatory text file named "Readme".
DOI: 10.5281/zenodo.5859509
title: uprolls2018-18

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859508
title: uprolls2018-18

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859487
title: uprolls2018-57

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859486
title: uprolls2018-57

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859537
title: uprolls2018-282

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859536
title: uprolls2018-282

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859472
title: uprolls2018-34

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859471
title: uprolls2018-34

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859463
title: uprolls2018-113

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859462
title: uprolls2018-113

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859443
title: uprolls2018-32

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859442
title: uprolls2018-32

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859370
title: uprolls2018-143

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859369
title: uprolls2018-143

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859316
title: uprolls2018-28

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5859315
title: uprolls2018-28

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858868
title: uprolls2018-27

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858867
title: uprolls2018-27

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858254
title: uprolls2018-37

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858253
title: uprolls2018-37

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858236
title: uprolls2018-36

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5858235
title: uprolls2018-36

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5063/f15719gs
title: Data from: Conservation status, threats, and information needs of small mammals in Alaska

description: Accompanying data to our manuscript, "Conservation status, threats, and information needs of small mammals in Alaska". This dataset includes: ASRS conservation assessments and scores for 36 small mammal species native to Alaska. The dataset also includes a copy of the survey and aggregated responses that we used to assess threats. The purpose of this dataset is to help readers reproduce our results, apply them to other regions or study species, and provide additional information to supplement our manuscript. Information on the Alaska Species Ranking System can be found in a report by Gotthardt et al. (2012), which is available online: https://accs.uaa.alaska.edu/publications
DOI: 10.5281/zenodo.5856706
title: uprolls2018-30

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5856705
title: uprolls2018-30

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.6001003
title: Code and data for Nguyen Le et al. "Robust optimal control of interacting multi-qubit systems for quantum sensing"

description: This is the code and simulation data for the paper "Robust optimal control of interacting multi-qubit systems for quantum sensing" by Nguyen Le et al.
DOI: 10.5281/zenodo.6001002
title: Code and data for Nguyen Le et al. "Robust optimal control of interacting multi-qubit systems for quantum sensing"

description: This is the code and simulation data for the paper "Robust optimal control of interacting multi-qubit systems for quantum sensing" by Nguyen Le et al.
DOI: 10.5281/zenodo.5856696
title: uprolls2018-33

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5856695
title: uprolls2018-33

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.6001050
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Stylianos Chatzimanolis, https://orcid.org/0000-0001-9008-0611. Claims were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.5856642
title: uprolls2018-31

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5856641
title: uprolls2018-31

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5856630
title: uprolls2018-56

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5856629
title: uprolls2018-56

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.6000983
title: An evidence-based study on issue labeling in Github-based repositories (Supplementary material)

description: The open-source software community has grown in size and importance over the years. As a consequence, the number of project contributors has increased considerably. The capability of open-source project repositories to accommodate issue reports is essential. An issue report encompasses a large set of data that describes the necessary changes a software should handle. As developers need detailed information to reproduce and find them, incomplete information is a severe problem that may influence triage and defect detection leading to delays in project maintenance. Issue trackers commonly use the labeling method to add extra details to issues. Knowing the importance of labels, this dissertation focus on investigating the usage, creation, and similarities in the context of the issue lifecycle in both maintenance and evolution in the repository issue trackers of the largest and most popular code hosting platform, Github. In addition, it analyzes the number of labeled and unlabeled issues in the repository and the connection between the issues' components, with an analysis focused on the lifecycle. The results indicate a significant correlation between repositories with many issues and the creation of labels, but not all repositories use them. 64.58% of the repositories insert new labels as the project evolves. 73.14% repositories applied on issues the Github standard labels. We also found an influence of primary issue fields such as title, description, and comments in most issue labels, impacting the creation and labeling issues. These numbers show that issue labeling is of prominent relevance for project maintenance and evolution. It provides developers with an easy and convenient way to inform about an incoming issue reported by systems users.
DOI: 10.5281/zenodo.6000982
title: An evidence-based study on issue labeling in Github-based repositories (Supplementary material)

description: The open-source software community has grown in size and importance over the years. As a consequence, the number of project contributors has increased considerably. The capability of open-source project repositories to accommodate issue reports is essential. An issue report encompasses a large set of data that describes the necessary changes a software should handle. As developers need detailed information to reproduce and find them, incomplete information is a severe problem that may influence triage and defect detection leading to delays in project maintenance. Issue trackers commonly use the labeling method to add extra details to issues. Knowing the importance of labels, this dissertation focus on investigating the usage, creation, and similarities in the context of the issue lifecycle in both maintenance and evolution in the repository issue trackers of the largest and most popular code hosting platform, Github. In addition, it analyzes the number of labeled and unlabeled issues in the repository and the connection between the issues' components, with an analysis focused on the lifecycle. The results indicate a significant correlation between repositories with many issues and the creation of labels, but not all repositories use them. 64.58% of the repositories insert new labels as the project evolves. 73.14% repositories applied on issues the Github standard labels. We also found an influence of primary issue fields such as title, description, and comments in most issue labels, impacting the creation and labeling issues. These numbers show that issue labeling is of prominent relevance for project maintenance and evolution. It provides developers with an easy and convenient way to inform about an incoming issue reported by systems users.
DOI: 10.6084/m9.figshare.19134689.v1
title: Young-400.bw

description: desc
DOI: 10.6084/m9.figshare.19134689
title: Young-400.bw

description: desc
DOI: 10.6084/m9.figshare.19105193
title: Why do projects join the Apache Software Foundation?

description: Replication package for the paper entitled "Why do projects join the Apache Software Foundation?" published at SEIS'22<br>Authors: Nan Yang (Eindhoven University of Technology)Isabella Ferreira (Polytechnique Montréal)Alexander Serebrenik (Eindhoven University of Technology) Bram Adams (Queen's University)
DOI: 10.5519/qd.kmygrqxg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (48 records)
DOI: 10.25494/p67k5h
title: North Central Coast: Aerial surveys and classification of Duncan Mills Kelp Forests, 2010

description: This kelp classification dataset was developed for the Sea Grant MPA Baseline Program as part of the project “High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery” (#R/MPA17 09-015). The study region is the California North Central Coast (NCC).The Adobe Acrobat (.PDF) browse style image is a reduced-resolution snapshot of the dataset. This particular file shows coverage is of the Duncans MIlls USGS orthoquad region containing the Russian River SMR. Ocean Imaging acquired the imagery used for this analysis on 11/02/2010 using the Digital Multispectral Camera (DMSC).Fugro EarthData acquired the imagery used for this project between 09/22/2010 – 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on these systems and the data processing are below in the Lineage section of this document. Individual DMSC and ADS40 image tiles were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the image products required to generate this merged kelp habitat classification covering the California North Central Coast’s kelp beds from Pigeon Point up to Point Arena. Additional information on the classification procedures used are outlined in the Methods and Sampling section of this document.This dataset was originally uploaded to Oceanspaces (http://oceanspaces.org/) in 2013 as part of the North Central Coast baseline monitoring program. In 2022 this dataset was uploaded to the California Ocean Protection Council Data Repository by Mike Esgro (Michael.Esgro@resources.ca.gov) and Rani Gaddam (gaddam@ucsc.edu). The imagery and habitat classification products have been included in the dataset as ERDAS Imagine (.img), GeoTif (.tif) and ESRI shapefile formats. Every attempt has been made to include all of the original data and metadata, submitted in 2013, but please contact the Data Set Contacts with any questions.The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P64S3W.
DOI: 10.17632/g4rdw8rvxf.1
title: Neuropeptide F inhibits dopamine neuron interference of long-term memory consolidation in Drosophila

description: Long-term memory (LTM) formation requires consolidation processes to overcome interfering signals that erode memory formation. Olfactory memory in Drosophila involves convergent projection neuron (PN; odor) and dopaminergic neuron (DAN; reinforcement) input to the mushroom body (MB). How post-training DAN activity in the posterior lateral protocerebrum (PPL1) continues to regulate memory consolidation remains unknown. Here we address this question using targeted transgenes in behavior and electrophysiology experiments to show that (1) persistent post-training activity of PPL1-α2α'2 and PPL1-α3 DANs interferes with aversive LTM formation; (2) neuropeptide F (NPF) signaling blocks this interference in PPL1-α2α'2 and PPL1-α3 DANs after spaced training to enable LTM formation; and (3) training-induced NPF release and neurotransmission from two upstream dorsal-anterior-lateral (DAL2) neurons are required to form LTM. Thus, NPF signals from DAL2 neurons to specific PPL1 DANs disinhibit the memory circuit, ensuring that periodic events are remembered as consolidated LTM.
DOI: 10.17632/pv9xtntd2w.1
title: CT data (tiffstack) of Pygmaclypeatus daziensis (YKLP 11427, images 1001-2000)

description: YKLP 11427, images 1001-2000
DOI: 10.17632/p3jbhcvrvt.1
title: CT data (tiffstack) of Pygmaclypeatus daziensis (YKLP 11428)

description: Original CT data of YKLP 11428
DOI: 10.5281/zenodo.6001490
title: The connection to the public's preferred sports analysis and physical education curriculum

description: People have their favorite type of sport, but such preferences tend to be shared for nearly a lifetime. How this preference persists remains inconclusive; hence, this study attempts to determine why people have different viewpoints on sports. It is reasonable to infer that these differences arise from differences in culture, occupation, and race. Therefore, we collected the following data and conducted research in Korea, the United States, and Japan, countries with various differences. The types of sports that people play were collected through surveys and comparisons among sports networks. Namely, “Sport Classification,” “The K-12 Physical Education System (textbooks),” “Survey (actual physical activity),” “Simple Notification Service (SNS) Activity” have been examined to deduce the reason why any particular sport is played. Firstly, Korea, the United States, and Japan conduct different physical education courses. Hence, the results affect people's preferences. Secondly, what people post on SNS and their actual physical activities are different. Thirdly, the degree of connection between sports-type varied as well. Lastly, sports that serve the purpose of being regarded as hubs among sports-type were common in Korea, the United States, and Japan.<br>
DOI: 10.5281/zenodo.6001489
title: The connection to the public's preferred sports analysis and physical education curriculum

description: People have their favorite type of sport, but such preferences tend to be shared for nearly a lifetime. How this preference persists remains inconclusive; hence, this study attempts to determine why people have different viewpoints on sports. It is reasonable to infer that these differences arise from differences in culture, occupation, and race. Therefore, we collected the following data and conducted research in Korea, the United States, and Japan, countries with various differences. The types of sports that people play were collected through surveys and comparisons among sports networks. Namely, “Sport Classification,” “The K-12 Physical Education System (textbooks),” “Survey (actual physical activity),” “Simple Notification Service (SNS) Activity” have been examined to deduce the reason why any particular sport is played. Firstly, Korea, the United States, and Japan conduct different physical education courses. Hence, the results affect people's preferences. Secondly, what people post on SNS and their actual physical activities are different. Thirdly, the degree of connection between sports-type varied as well. Lastly, sports that serve the purpose of being regarded as hubs among sports-type were common in Korea, the United States, and Japan.<br>