cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58119/ulg/uowrsl/rj13ci
title: gFr-mp-1008680-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/edhh9h
title: gFr-mp-13949-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/a9v55y
title: mp-568032-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/4wr0wp
title: mp-989405-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ibe1dk
title: gFr-mp-867730-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/bb3p8n
title: mp-4514-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/ketpnd
title: gFr-mp-556866-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/vsuyu2
title: mp-10653-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/noae9s
title: gFr-mp-505825-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/d9lrx5
title: mp-30056-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/eoas2b
title: gFr-mp-22903-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/axnfmy
title: gFr-mp-3349-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/2njk3n
title: mp-22862-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/e31se4
title: mp-13658-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/joprwi
title: gFr-mp-623024-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/mdvgkt
title: gFr-mp-22937-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/wxdcdv
title: gFr-mp-27869-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/cuscvw
title: gFr-mp-10615-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/aqsclm
title: gFr-mp-8930-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/eaabaw
title: gFr-mp-28270-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/t8dyo9
title: mp-15777-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/dno1bh
title: mp-3666-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/7oah5n
title: gFr-mp-961684-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/fyca4h
title: mp-23059-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/z6i4bu
title: gFr-mp-12894-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/iuugxg
title: mp-16763-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/z1s0mj
title: mp-753260-data-per-mode-conduction.dat

description: :unav
DOI: 10.58119/ulg/uowrsl/rafibw
title: gFr-mp-27369-conduction.dat

description: :unav
DOI: 10.5284/1029431
title: An Osteological Analysis and Social Investigation of the Cremation Rite at the Cemeteries of Elsham and Cleatham, North Lincolnshire: PhD Thesis, University of Sheffield (2011)

description: In 2008, Kirsty Squires obtained PhD funding from the Arts and Humanities Research Council to conduct an in-depth assessment of the Elsham and Cleatham cremated bone assemblages at the University of Sheffield. This programme of research was designed to address four primary aims. The first aim of this project involved constructing a demographic profile of the Elsham burial population. This was achieved through a full osteological analysis of the cremated and unburned bone assemblages. The secondary aim of the project was to gain an understanding of the identity of the individuals buried at this site through an examination of the artefactual evidence and cemetery organisation. Here, information about the grave- and pyre-goods, cinerary urns, animal remains, and spatial distribution of burials at the site were analysed alongside the demographic attributes of the burial population. The third aim of this research was to explore the efficiency of the cremation process through a macroscopic examination of the burned bone alongside more technical forms of analysis, including histomorphometry and Fourier Transform Infrared (FTIR) spectroscopy. The final and overarching aim of this doctoral project was to produce and disseminate a dataset detailing the cremated and unburned bone from the Elsham cemetery. The results of Kirsty Squires' doctoral research were published in 2012 and 2013 in the Archaeological Journal. This digital resource contains the data that were collected and discussed in these articles. The following dataset includes a full catalogue of the cremated bone and skeletal remains from the inhumation burials from this cemetery. This resource also contains a database of the burial co-ordinates from this site. The cremated and unburned bone, cinerary urns, and grave- and pyre-goods from both cemeteries are currently housed in North Lincolnshire Museum.
DOI: 10.14457/tu.res.2013.11
title: โครงการ การสังเคราะห์ผลกระทบต่อประเทศไทยจากการจัดการโครงสร้างพื้นฐานด้านโลจิสติกส์และการปรับรูปแบบโซ่อุปทานภายใต้บริบทประชาคมเศรษฐกิจอาเซียน
DOI: 10.14457/tu.the.2008.738
title: การเกษียณอายุก่อนกำหนด: กรณีศึกษา บริษัทการบินไทย จำกัด (มหาชน)
DOI: 10.15468/9d5dvb
title: Two new species of the bamboo-feeding planthopper genus Neobelocera Ding & Yang, 1986 from China (Hemiptera, Fulgoroidea, Delphacidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article LI, Hong-Xing, Yang, Lin, Chen, Xiang-Sheng (2020): Two new species of the bamboo-feeding planthopper genus Neobelocera Ding & Yang, 1986 from China (Hemiptera, Fulgoroidea, Delphacidae). European Journal of Taxonomy 641: 1-14, DOI: https://doi.org/10.5852/ejt.2020.641
DOI: 10.5281/zenodo.3817132
title: Data for Mouton Atlas of Languages and Cultures (ed. Gerd Carling). Mouton De Gruyter 2019.

description: These are the basic data sets (.xml), which are used for creating maps, graphs and results of the volume Mouton Atlas of Languages and Cultures (Mouton De Gruyter 2019). Data has been extracted from the database Diachronic Atlas of Comparative Linguistics during 2018 and prepared for publication. Data is printed in the paper and online version of the book. The data is made available by permission from the publishers. NB. In using the data, quoting of the book is required: Carling, Gerd (ed.) 2019. Mouton Atlas of Languages and Cultures. Berlin - New York: Mouton de Gruyter.
DOI: 10.5281/zenodo.3817133
title: Data for Mouton Atlas of Languages and Cultures (ed. Gerd Carling). Mouton De Gruyter 2019.

description: These are the basic data sets (.xml), which are used for creating maps, graphs and results of the volume Mouton Atlas of Languages and Cultures (Mouton De Gruyter 2019). Data has been extracted from the database Diachronic Atlas of Comparative Linguistics during 2018 and prepared for publication. Data is printed in the paper and online version of the book. The data is made available by permission from the publishers. NB. In using the data, quoting of the book is required: Carling, Gerd (ed.) 2019. Mouton Atlas of Languages and Cultures. Berlin - New York: Mouton de Gruyter.
DOI: 10.5281/zenodo.3743860
title: Electron-impact excitation of Mn V

description: The file omegau contains (unformatted) collision strengths for electron-impact excitations among 200 fine-struture levels in Mn V, evaluated at 92,601 incident electron energies between 0 and 9 rydbergs. The code xtrct.f extracts collision strengths from the file omegau. When run, the user is prompted to input the lower and upper indices (I and J, respectively) and of a transition. The output file, xout, contains four columns: Column 1: Incident electron energy (in rydbergs) relative to the ground state of the N-electron system. Column 2: Incident electron energy (in rydbergs) relative to the initial N-electron state of the transition. Column 3: Incident electron energy (in rydbergs) relative to the final N-electron state of the transition. Column 4: Collision strength for the electron-impact excitation from state I to state J of the N-electron system.
DOI: 10.5281/zenodo.3743861
title: Electron-impact excitation of Mn V

description: The file omegau contains (unformatted) collision strengths for electron-impact excitations among 200 fine-struture levels in Mn V, evaluated at 92,601 incident electron energies between 0 and 9 rydbergs. The code xtrct.f extracts collision strengths from the file omegau. When run, the user is prompted to input the lower and upper indices (I and J, respectively) and of a transition. The output file, xout, contains four columns: Column 1: Incident electron energy (in rydbergs) relative to the ground state of the N-electron system. Column 2: Incident electron energy (in rydbergs) relative to the initial N-electron state of the transition. Column 3: Incident electron energy (in rydbergs) relative to the final N-electron state of the transition. Column 4: Collision strength for the electron-impact excitation from state I to state J of the N-electron system.
DOI: 10.5281/zenodo.3816852
title: Molecular datasets from "SMILES-Based Deep Generative Scaffold Decorator for De-Novo Drug Design"

description: Herein find the molecular datasets from "SMILES-Based Deep Generative Scaffold Decorator for De-Novo Drug Design". These were generated with SMILES-based scaffold decorator generative models trained with two training sets (DRD2 and ChEMBL). These generative models require a partially-built molecule (scaffold) as input and output several possible completions for each scaffold. Each dataset corresponds to a model trained with the ChEMBL or DRD2 sets, wither multi-step (ms) or single-step (ss) and the provenance of the scaffolds (validation set, or non-dataset). The molecules generated are annotated with a set of descriptors. The DRD2 datasets have the predicted probability of each molecule to be active on DRD2 (p) obtained from a Random Forest model. The ChEMBL model's descriptors are related to the synthesizability of the molecules (see manuscript). Also, the datasets decorated from validation set scaffolds are annotated whether they are part of the validation set (in_validation).
description: Changed datasets to revised version.
DOI: 10.15161/oar.it/23642
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.21227/ngnf-s993
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 50 million tweets) shared in the Corona Virus (COVID-19) Tweets dataset.If you need the geolocation-based data starting March 20, 2020, then use the Corona Virus (COVID-19) Tweets dataset and hydrate the IDs while adding the following condition:if data["coordinates"] is true; use longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.5281/zenodo.3816870
title: Supplementary Tables for GPS-PBS

description: These files are supplementary tables S1-S7 for the manuscript entitled "GPS-PBS: A deep learning framework to predict phosphorylation sites that specifically interact with phosphoprotein-binding domains".
DOI: 10.5519/qd.4erekivv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (157 records)
DOI: 10.15468/xz99k4
title: Yuelushannus gen. nov. (Araneae, Linyphiidae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Irfan, Muhammad, Zhou, Gu-chun, Bashir, Shahida, Mukhtar, Muhammad Khalid, Peng, Xian-jin (2020): Yuelushannus gen. nov. (Araneae, Linyphiidae) from China. European Journal of Taxonomy 642: 1-17, DOI: https://doi.org/10.5852/ejt.2020.642
DOI: 10.5281/zenodo.3817440
title: Breaking the Mold: A corpus study of numeral+noun phrases in Scottish Gaelic - Corpus Data

description: Hello! This is the corpus data compiled in the searches done for my master's thesis: Breaking the Mold: A corpus study of numeral + noun phrases in Scottish Gaelic. The data comes from the Digital Archive of Scottish Gaelic's Corpas na Gàidhlig (https://dasg.ac.uk/corpus/). The relevant data are discussed in the thesis, but the full corpus is found here for anyone who wishes to view it. For any questions, please contact me: emma.mckenzie(at)helsinki.fi
DOI: 10.5281/zenodo.3817441
title: Breaking the Mold: A corpus study of numeral+noun phrases in Scottish Gaelic - Corpus Data

description: Hello! This is the corpus data compiled in the searches done for my master's thesis: Breaking the Mold: A corpus study of numeral + noun phrases in Scottish Gaelic. The data comes from the Digital Archive of Scottish Gaelic's Corpas na Gàidhlig (https://dasg.ac.uk/corpus/). The relevant data are discussed in the thesis, but the full corpus is found here for anyone who wishes to view it. For any questions, please contact me: emma.mckenzie(at)helsinki.fi
DOI: 10.14458/stiu.the.2016.77
title: Business plan teacher DAO tutorial school improvement and expansion plan
DOI: 10.14458/stiu.the.2017.78
title: Tourist experience management for increase customer satisfaction: A case study of TK equipment co., Ltd. in Pattaya
DOI: 10.14455/catc.res.2017.1
title: การออกแบบวงจรรากที่สองโหมดกระแสโดยใช้วงจรโอทีเอ
DOI: 10.14455/catc.res.2017.2
title: รูปแบบการบริหารจัดการสัตว์ที่เป็นอันตรายด้านการบินในประเทศไทย
DOI: 10.14455/catc.res.2017.3
title: วงจรกรองผ่านแถบแบบฮุคบนเรโซเนเตอร์หลายขั้น
DOI: 10.14455/catc.res.2017.4
title: สายอากาศ CPW แบบสองความถี่โครงสร้างแฟร็กทัลห่วงโซ่ดาวสำหรับระบบ LTE และเครื่องวัดความสูง
DOI: 10.14458/stiu.the.2016.78
title: International sales plan for beer Lao to ASEAN countries
DOI: 10.14458/stiu.the.2016.79
title: Cross-cultural environment in organizations: A study of working with people from other cultures
DOI: 10.3886/e112734v1-24225
title: Replication data for: Tracing Value-Added and Double Counting in Gross Exports

description: This paper proposes an accounting framework that breaks up a country's gross exports into various value-added components by source and additional double-counted terms. Our parsimonious framework bridges a gap between official trade statistics (in gross value terms) and national accounts (in value-added terms), and integrates all previous measures of vertical specialization and value-added trade in the literature into a unified framework. To illustrate the potential of such a method, we present a number of applications including re-computing revealed comparative advantages and the magnifying impact of multi-stage production on trade costs.
DOI: 10.25919/5eb4dbb8b50b5
title: Parkes observations for project P1050 semester 2020APRS_10

description: This is a request for observing time for the initial follow-up of pulsar discoveries from the re-processing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed a first pass re-processing of the 60 % of the survey with GPU based coherent acceleration search and template bank search pipelines, and have discovered potential 54 previously unknown pulsars. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This follow-up and timing project is necessary for following up on any interesting pulsar systems discovered from the HTRU Galactic plane survey. Since all of the pulsars on the observing list here are being followed-up for the first time, they will produce completely new and exciting results. In addition, this timing project will enable a large-scale examination of the Galactic plane pulsar population, exploring the true boundaries of pulsar parameter space.
DOI: 10.14457/tu.res.2007.176
title: แผนธุรกิจเพื่อพัฒนาวีโอไอพีในรูปแบบการเช่าใช้บริการเพื่อลูกค้าองค์กรของบริษัท ทรู คอร์ปอเรชั่น จำกัด (มหาชน)
DOI: 10.14457/tu.res.2008.121
title: การตีความตารางพิกัดภาษีศุลกากรในระบบฮาร์โมไนซ์ (HS) ในกรอบขององค์การศุลกากรโลก (WCO) และองค์การการค้าโลก (WTO): ศึกษาคดีไก่หมักเกลือแช่แข็งเลาะกระดูก
DOI: 10.14457/tu.res.2009.182
title: การศึกษาความสัมพันธ์ระหว่างลักษณะการคิดสร้างสรรค์ของหัวหน้างาน ภาวะผู้นำการเปลี่ยนแปลง กับประสิทธิผลของหัวหน้างานในโรงงานอุตสาหกรรมแห่งหนึ่ง จังหวัดสมุทรสาคร
DOI: 10.14457/tu.res.2009.183
title: การสำรวจความคิดเห็นลูกค้าธนาคารกรุงเทพ จำกัด (มหาชน) ที่มีต่อปัจจัยการสื่อสารการตลาด
DOI: 10.14457/tu.res.2009.184
title: ปัจจัยการสื่อสารการตลาดที่มีผลต่อการเลือกซื้อบัตรแทนเงินสดในการซื้อบัตรชมภาพยนตร์ ผ่านเครื่องจำหน่ายตั๋วอัตโนมัติ
DOI: 10.21227/71fw-ss32
title: Programming Homework Dataset for Plagiarism Detection

description: Dataset is intended for studying how student programming styles and usage of IDE differs between students who plagiarise their homework and students who solve them honestly.Dataset includes homeworks submitted by students during two introductory programming courses (A and B) delivered during two years (2016 and 2017). A is delivered in C programming language, while B is delivered in C++. In addition to homeworks, dataset includes full traces of all student activity and keystrokes during homework development. These traces were generated by setting the IDE to "autosave" after 1 second of inactivity, after which the file was committed to a SVN repository. For size reason, these repositories were then processed into JSON files actually stored. In addition, IDE was configured to pass output from student programs, compiler, debugger, profiler and unit testing into separate invisible files which were also stored in this repository. Finally, dataset includes ground truth with homeworks which are assumed to be plagiarised because of high similarity and the fact that (one of) students failed to do "oral defense" of homework.
DOI: 10.21227/8f2n-e185
title: Phasor Measurement Data Recorded During Low Frequency Oscillation and Short Circuit Incidents in Actual Power Systems

description: Test
DOI: 10.21227/t573-yy93
title: Programming Homework Dataset for Plagiarism Detection

description: Dataset is intended for studying how student programming styles and usage of IDE differs between students who plagiarise their homework and students who solve them honestly.Dataset includes homeworks submitted by students during two introductory programming courses (A and B) delivered during two years (2016 and 2017). A is delivered in C programming language, while B is delivered in C++. In addition to homeworks, dataset includes full traces of all student activity and keystrokes during homework development. These traces were generated by setting the IDE to "autosave" after 1 second of inactivity, after which the file was committed to a SVN repository. For size reason, these repositories were then processed into JSON files actually stored. In addition, IDE was configured to pass output from student programs, compiler, debugger, profiler and unit testing into separate invisible files which were also stored in this repository. Finally, dataset includes ground truth with homeworks which are assumed to be plagiarised because of high similarity and the fact that (one of) students failed to do "oral defense" of homework.
DOI: 10.5281/zenodo.3816667
title: Detecting East Asian Prejudice on Social Media

description: This repository contains: A deep learning model which distinguishes between Hostililty against East Asia, Criticism of East Asia, Discussion of East Asian prejudice and Neutral content. The F1 score is 0.83. A detailed annotation codebook used for marking up the tweets. A labelled dataset with 20,000 entries. A dataset with all 40,000 annotations, which can be used to investigate annotation processes for abusive content moderation. A list of thematic hashtag replacements. Three sets of annotations for the 1,000 most used hashtags in the original database of COVID-19 related tweets. Hashtags were annotated for COVID-19 relevance, East Asian relevance and stance. The outbreak of COVID-19 has transformed societies across the world as governments tackle the health, economic and social costs of the pandemic. It has also raised concerns about the spread of hateful language and prejudice online, especially hostility directed against East Asia. This data repository is for a classifier that detects and categorizes social media posts from Twitter into four classes: Hostility against East Asia, Criticism of East Asia, Meta-discussions of East Asian prejudice and a neutral class. The classifier achieves an F1 score of 0.83 across all four classes. We provide our final model (coded in Python), as well as a new 20,000 tweet training dataset used to make the classifier, two analyses of hashtags associated with East Asian prejudice and the annotation codebook. The classifier can be implemented by other researchers, assisting with both online content moderation processes and further research into the dynamics, prevalence and impact of East Asian prejudice online during this global pandemic. This work is a collaboration between The Alan Turing Institute and the Oxford Internet Institute. It was funded by the Criminal JusticeTheme of the Alan Turing Institute under Wave 1 of The UKRI Strategic Priorities Fund, EPSRC Grant EP/T001569/1