cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1189807
title: Numbers Of Articles, Books And Dissertation Theses Indexed In Base And Percentages Of Items Published Open Access, Under Creative Commons Licenses And Under Open Licenses (2013-2017)

description: A look at the data provided by the Open Access search engine BASE (http://base-search.net) shows that the Open Science compliance among dissertation theses stagnates. BASE knows three categories of accessibility: Open Access, Unknown, Non-Open Access. In the following tables and graphs, figures reported as "Open Access" have been categorised by BASE as Open Access. The tables and graphics show data from BASE (as of 06.03.2018) as follows:

a) Indexed theses, books and journal articles

b) Indexed theses, books and journal articles published by Open Access

c) indexed theses, books and journal articles under Creative Commons licenses.

d) indexed theses, books and journal articles, which are published under open licenses in the sense of the Open License, i. e. reflect terms of use of the Open Source.

 

Although doctoral theses already had a high share of open access by 2013 (43%), by 2017 it had risen by only 5% (2017:48%). At the same time, the proportion of books published in open access rose by 14% (from 20% to 34%) and articles by 17% from 44% (2013) to 61% (2017). The same effect can be seen in the proportion of CC-licensed items: Their share rose by 4% (from 9% to 13%) for doctoral theses, by 9% for books (from 4% to 13%) and 8% for articles (from 10% to 18%) between 2013 and 2017. However, the share of openly licensed items is most pronounced: it did not increase for doctoral theses, but remained at 2% between 2013 and 2017; in the same period it increased by 5% (from 1% to 6%) for books, and by 5% (from 5% to 10%) for articles.
DOI: 10.3886/e101800v1
title: Replication data for "Societal inequalities amplify gender gaps in math"

description: While gender gaps in average math performance are close to zero in
developed countries, women are still strongly underrepresented among math high
performers. Using data from five successive waves of the Programme for
International Student Assessment (PISA), we show that this underrepresentation
is more severe in more unequal countries. This relationship holds for a wide
range of societal inequalities that are not directly related to gender. It is also
observed in other parts of the performance distribution and among various sets
of countries, including developing countries. Similar relationships are found in
science and reading. Such findings highlight how differences in socio-economic
and cultural factors can affect gender gaps in performance.

<br>
description: World<br>
DOI: 10.5281/zenodo.1193208
title: Larval Dispersal In Three Coral Reef Decapod Species: Influence Of Larval Duration On The Metapopulation Structure

description: Database on larval dispersal contains three files in excel format. The name of the files indicates the species and its PLD (pelagic larval duration)
DOI: 10.5281/zenodo.1193209
title: Larval Dispersal In Three Coral Reef Decapod Species: Influence Of Larval Duration On The Metapopulation Structure

description: Database on larval dispersal contains three files in excel format. The name of the files indicates the species and its PLD (pelagic larval duration)
DOI: 10.5281/zenodo.1189872
title: Original_Speech

description: This is the system which uses original speech.
DOI: 10.17632/z4nyyf867h.1
title: Data for: An estimate of the Average Cumulative Royalty Yield in the World Mobile Phone Industry

description: A New Dataset on Mobile Phone Patent License Royalties---August 2017 update Mobile phones integrate a wide array of technologies, from computing to consumer electronics to communications, and from semiconductors to hardware, software and services. This makes them a relevant target for a large and broad array of patents and licensors. In addition, mobile phones rely on technological standards to make them interoperable. A standard-compliant phone uses hundreds, if not thousands of standard essential patents (SEPs), which are owned by many different patent holders. While some have claimed that dispersed ownership of SEPs leads to high cumulative royalty rates, the estimates that underpin these claims are based on the simple addition of published handset royalty rates. This dataset estimates the Average Cumulative Patent Royalty Yield paid in the mobile phone value chain— the sum total of patent royalty payments earned by licensors, divided by the total value of mobile phones shipped. The core of our method, then, is to “follow the money.” In following the money, we make no distinctions as to where a licensor is earning revenues in the mobile phone value chain, nor do we make distinctions among the different patented technologies in a mobile phone. We capture, for example, revenues earned from licenses taken by semiconductor and base band chip producers, as well as the OEMs and EMSs that assemble phones. We also capture revenues earned from licenses on patents that enable video, imaging, audio, and other functions, as well as the SEPs that enable mobility. We capture, as well, the revenues of a major software company that earns revenue from its patents that read on the most popular mobile phone operating system. Our purpose is to provide as comprehensive and transparent a data source as is practically possible for use by other researchers, industry practitioners, and government officials. We do not take a position on whether the estimates of the royalty yield we present in this study are “too high,” “too low,” or “just right.” That is an important debate, but it can only be joined on the basis of evidence. All methods of analysis are dependent upon an underlying theory, and underlying theories are created in order to answer particular questions of interest. Calculating the cumulative royalties paid (or earned) in the mobile phone value chain is not an exception to this general rule. The basic question researchers are asking is how do royalties paid by firms in the mobile phone value chain affect production and decisions at the margin? That is, if royalty rates were X percent higher, by how much would output fall and prices increase? If they were X’ lower, by how much would output rise and prices fall? Microeconomic theory provides a guide to the relevant facts necessary to answer this question; it tells us that we need to approximate running royalties.
DOI: 10.5281/zenodo.1189038
title: A Model Predicting The Relationships Between Seed Size, Yield, And Actual Yield In Dry Field Peas

description: This is a model that predicts yield and actual yield in dry pea based on seed size. Seeding rate, seed cost, pod length, and expected grain yield can be varied in the model. The ideal seed size is displayed at the vertex of the curve in three different graphs.
DOI: 10.17632/fwd2x54ryh.1
title: Data for: Development of Valid and Reliable Student Evaluation Tools of Teaching

description: Raw De-Identified Course Evaluation Data
DOI: 10.5281/zenodo.1193216
title: Clld/Asjp: The Asjp Database

description: Data and web application of the ASJP Database (version 18). Cite the Database as

 

Wichmann, Søren, Eric W. Holman, and Cecil H. Brown (eds.). 2018. The ASJP Database (version 18).
DOI: 10.5281/zenodo.1193217
title: Clld/Asjp: The Asjp Database

description: Data and web application of the ASJP Database (version 18). Cite the Database as

 

Wichmann, Søren, Eric W. Holman, and Cecil H. Brown (eds.). 2018. The ASJP Database (version 18).
DOI: 10.15468/zrscfh
title: Ophiorrhizaguizhouensis (Rubiaceae), a new species from Guizhou Province, southwestern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Chuan-Dong, He, Xuan-Ze, Gou, Guang-Qian (2018): Ophiorrhizaguizhouensis (Rubiaceae), a new species from Guizhou Province, southwestern China. PhytoKeys 95: 121-126, DOI: http://dx.doi.org/10.3897/phytokeys.95.22506, URL: http://dx.doi.org/10.3897/phytokeys.95.22506
DOI: 10.5517/ccdc.csd.cc1zbxgp
title: CCDC 1827743: Experimental Crystal Structure Determination

description: Related Article: Zhigang Wang|2018|CSD Communication|||
description: Related Article: Zoufeng Xu, Ho Ming Chan, Cai Li, Zhigang Wang, Man-Kit Tse, Zixuan Tong, Guangyu Zhu|2018|Inorg.Chem.|57|8227|doi:10.1021/acs.inorgchem.8b00706
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.1189398
title: The Influence Of Waves On Morphodynamic Impacts Of Energy Extraction At A Tidal Stream Turbine Site In The Pentland Firth: Mike3 Hd Result Files

description: This dataset consists of the MIKE3 HD result files from simulations conducted for the paper 'The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth' ( https://doi.org/10.1016/j.renene.2018.02.035 )

Sets of 2D area result files are provided for sediment transport results (ST in file name), hydrodynamic results (HD in file name) and spectral wave results (SW in file name) in different datasets. This dataset contains HD files.

Each file name provides details of the resuls contained: time of simulation (Jan or Jun); presence (Turb) or abscence (NoTurb) of tidal stream turbines in the simulations; and inclusion of waves in the simulations (tideAndWave or tide_only).

Details of the methodology are given in the above paper. Please reference the paper in any use of these results.
DOI: 10.5281/zenodo.1189399
title: The Influence Of Waves On Morphodynamic Impacts Of Energy Extraction At A Tidal Stream Turbine Site In The Pentland Firth: Mike3 Hd Result Files

description: This dataset consists of the MIKE3 HD result files from simulations conducted for the paper 'The influence of waves on morphodynamic impacts of energy extraction at a tidal stream turbine site in the Pentland Firth' ( https://doi.org/10.1016/j.renene.2018.02.035 )

Sets of 2D area result files are provided for sediment transport results (ST in file name), hydrodynamic results (HD in file name) and spectral wave results (SW in file name) in different datasets. This dataset contains HD files.

Each file name provides details of the resuls contained: time of simulation (Jan or Jun); presence (Turb) or abscence (NoTurb) of tidal stream turbines in the simulations; and inclusion of waves in the simulations (tideAndWave or tide_only).

Details of the methodology are given in the above paper. Please reference the paper in any use of these results.
DOI: 10.14457/tu.the.2016.665
title: การฉ้อฉลทางวิชาการ: ศึกษาการกำหนดความผิดอาญาฐานรับจ้างทำวิทยานิพนธ์

description: การรับจ้างทำวิทยานิพนธ์ในระดับอุดมศึกษาถือเป็นการฉ้อฉลทางวิชาการรูปแบบหนึ่งที่เกิดขึ้นในระบบการศึกษาของประเทศไทยมาอย่างยาวนาน โดยเฉพาะอย่างยิ่งในยุคปัจจุบันที่อินเทอร์เน็ตเข้ามามีบทบาทในการสื่อสารกันระหว่างคนในสังคม ยิ่งทำให้การรับจ้างทำวิทยานิพนธ์เป็นได้สะดวกและรวดเร็วยิ่งขึ้น กล่าวคือ ผู้รับจ้างทำวิทยานิพนธ์ได้ใช้ช่องทางตามสื่อออนไลน์ในการโฆษณาประชาสัมพันธ์การให้บริการของตน ในขณะที่นักศึกษาผู้ว่าจ้างสามารถค้นหารายชื่อผู้รับจ้างทำวิทยานิพนธ์ได้ด้วยการพิมพ์ข้อความค้นหาในเว็บไซต์อย่าง Google อีกทั้งยังใช้อีเมลเพื่อติดต่อระหว่างกัน ทำให้ผู้ว่าจ้างและผู้รับจ้างทำวิทยานิพนธ์ไม่จำเป็นต้องพบหน้ากันหรือแม้กระทั่งอาจอยู่คนละประเทศก็ตาม ขณะเดียวกันการรับจ้างทำวิทยานิพนธ์ได้ก่อให้เกิดผลกระทบแก่สังคมในหลายด้านตามมาไม่ว่าจะเป็นผลกระทบต่อตัวนักศึกษาผู้ว่าจ้างเองที่ไม่ได้พัฒนาความรู้ความสามารถตามหลักสูตรการศึกษา ก่อให้เกิดความไม่เป็นธรรมต่อนักศึกษาอื่นที่ได้ทำวิทยานิพนธ์ด้วยตนเอง ทำให้สถาบันการศึกษาได้รับความเสียหายในการประเมินผลการศึกษาและออกวุฒิการศึกษา ตลาดแรงงานทั้งภาครัฐและภาคเอกชนได้รับความเสี่ยงจากการรองรับผลผลิตทางการศึกษาที่ไม่ได้คุณภาพ และท้ายที่สุดนำมาซึ่งผลกระทบต่อระบบการศึกษาในระดับอุดมศึกษาของประเทศที่ไม่มีคุณภาพและขาดมาตรฐาน การรับจ้างทำวิทยานิพนธ์จึงเป็นปัญหาที่กระทบต่อความสงบเรียบร้อยของประชาชนในสังคม อย่างไรก็ตามพบว่าในปัจจุบันไม่มีมาตรการทางกฎหมายเพื่อใช้บังคับแก่การกระทำของผู้รับจ้างทำวิทยานิพนธ์โดยตรง มีเพียงมาตรการทางกฎหมายปกครองที่สถาบันการศึกษาใช้ดำเนินการได้เฉพาะกับนักศึกษา อาจารย์ และบุคคลากรทางการศึกษาเท่านั้น และแม้ว่ามาตรการทางกฎหมายแพ่งว่าด้วยละเมิด ผู้เสียหายอาจยื่นฟ้องผู้รับจ้างทำวิทยานิพนธ์ให้ชดใช้ค่าสินไหมทดแทนได้ก็ตาม แต่การหาพยานหลักฐานเพื่อพิสูจน์ความเสียหายและค่าเสียหายซึ่งฝ่ายผู้เสียหายมีภาระต้องพิสูจน์ยังเป็นไปได้ยาก และเมื่อพิจารณามาตรการทางกฎหมายอาญาในปัจจุบันก็ไม่พบว่ามีฐานความผิดใดที่สามารถนำมาปรับใช้กับกรณีการรับจ้างทำวิทยานิพนธ์ได้ นอกจากนี้ แม้มีมาตรการอื่นที่ไม่ใช่มาตรการทางกฎหมายเข้ามาช่วยเสริมการป้องกันการจ้างทำวิทยานิพนธ์ของนักศึกษา ได้แก่ การถอดถอนวิทยานิพนธ์ การกำหนดให้นักศึกษารายงานความก้าวหน้าในการทำวิทยานิพนธ์ การกำหนดภาระงานอาจารย์ที่ปรึกษา รวมถึงการส่งเสริมคุณธรรมและจริยธรรมให้แก่นักศึกษาก็ตาม แต่มาตรการดังกล่าวก็ยังไม่เพียงพอในการป้องกันและปราบปรามการรับจ้างทำวิทยานิพนธ์ที่เกิดขึ้นได้ ด้วยเหตุดังกล่าวจึงมีความจำเป็นที่จะต้องพิจารณาถึงการนำมาตรการทางกฎหมายอาญามาใช้บังคับแก่กรณีการรับจ้างทำวิทยานิพนธ์โดยเฉพาะ โดยวิทยานิพนธ์ฉบับนี้จะศึกษาถึงแนวทางในการกำหนดความผิดและโทษทางอาญา เสรีภาพในการประกอบอาชีพและเสรีภาพทางวิชาการตามรัฐธรรมแห่งราชอาณาจักรไทย รวมถึงกฎหมายของประเทศสหรัฐอเมริกาและประเทศนิวซีแลนด์ที่ได้กำหนดให้การรับจ้างทำวิทยานิพนธ์หรือผลงานทางวิชาการแทนนักศึกษาเป็นความผิดอาญา แล้วนำมาใช้วิเคราะห์ถึงความเหมาะสมในการกำหนดความผิดอาญาแก่ผู้รับจ้างทำวิทยานิพนธ์ในประเทศไทย เพื่อให้การป้องกันและปราบปรามปัญหาการรับจ้างทำวิทยานิพนธ์ที่เกิดขึ้นเป็นไปได้อย่างครอบคลุมและมีประสิทธิภาพ
DOI: 10.14457/tu.the.2016.666
title: Image-based Thai amulet recognition

description: This thesis presents a way to determine the kind of amulet from taken picture. The pre-processing and amulet segmentation are processed with the plain color background and segmentation method is based on grayscale conversion and edge detection to locate high contrast area in the image. The amulet kind determination makes use of two feature, first is edge feature from prewitt edge detection and second is texture feature called local ternary pattern (LTP) which indicate differrent in image intensities. The accuracy of template matching are 77% when using Canny edge feature and 99% when using LTP feature.
DOI: 10.14457/tu.the.2016.667
title: Mathematical handwritten formula recognition

description: On-line Mathematical handwriting recognition is a process that aims to identify the suitable symbol from handwritten stroke. It is done by extracting features from a set of handwritten strokes, then applying a supervised machine learning technique to build a model that classifies astroke into a class of symbols. In this study, there are three main processes including preprocessing, feature extraction and recognition. Firstly, the dataset are preprocessed in the preprocessing process which composes of deleted duplication points, normalizing sizes, smoothing strokes, and normalizing writing speeds. After preprocessing process, the dataset are extracted the feature including pen up/down, the normalized distance to stroke’s edge, the normalized y-coordinate, vicinity slope, and curvature. For the recognition process, we propose the HMM, CRF, and RNN model to compare the accuracy recognition for classification. In the experiments, we conduct the dataset from Competition on Recognition of Online Handwritten Mathematical Expressions (CROHME). From the experimental results, it shows that the RNN model is highest the accuracy recognition at 72.03%.
DOI: 10.14457/tu.the.2016.668
title: Microscopic image selection and combination process

description: At present, bright-field microscope is became one of the most popular devices inevery scientific laboratories and medical laboratories because of its simplicity, utilityand cost. This reason is our motivation which leads to find the system to help user toimprove image quality and performance. The system uses the combination of bothhardware and software methods to achieve this purpose. The field finding method andin-focus image selection of the system help user obtains good quality images foranalysis. Based on the results, the system is able to acquire images with more edgedetails comparing to manually acquire by user. Moreover, we also provided acomparison between color space and extended depth of field algorithms to show howcolor space affect to the extended depth of field algorithm performance and imagequality. From the result, we can summarize that changing of color space can beaffected on image quality but not performance and also showed relation betweenperformance and image quality of each algorithm. These results can suggest user toselect algorithm or color space which suits their sample.
DOI: 10.14457/tu.the.2016.669
title: A comparative annotator-agreement analysis of EMOLA (Thai) and IEMOCAP (English) emotional speech corpora

description: Understanding of human emotions is one of the essential problems in the cognitive science because emotion recognition technologies can improve the communication between humans and machines. In the process of developing these technologies, emotional utterance corpora are required to construct and validate models used for recognizing emotions. However, evaluation of an emotion recognition model strongly depends on the corpus used in the evaluation. Specifically, the number of emotionally ambiguous utterances in corpora strongly affects evaluation result of the emotion recognition models. Therefore, this work aims to propose an efficient method for removing those emotionally ambiguous utterances from a corpus such that the refined corpus can be used to construct and evaluate an emotion recognition model effectively. We propose three methods for removing or filtering out ambiguous utterances: the filtering based on the first label preference and majority vote, the filtering based on full consensus, and the filtering based on the first label preference and full consensus. We investigate two corpora, which are Interactive Emotional Dyadic Motion Capture Database (IEMOCAP) and Emotional Tagged Corpus on Lakorn (EMOLA). The first corpus is an English language corpus whereas the second one is a Thai language corpus, and both are annotated by six annotators. We primarily study only four emotions, which are anger, happiness, neutral, and sadness. The experimental results show that, once the emotionally ambiguous utterances are removed from a corpus by the proposed methods, and then the corpora are used in training and testing emotion recognition models, the accuracy results improve considerably compared with those of emotion recognition models trained and tested by the original corpora. In the best case, the accuracy improves by 37.47 percents. Although we can achieve the better performance via a reduced corpus using information from emotion labels assigned by annotators, there is still room for improvement. For example, some features of utterances can be combined with information from annotators to remove more emotionally ambiguous utterances from a corpus.
DOI: 10.14457/tu.the.2016.670
title: Human identification by gait analysis

description: In this decade, researches on human identification gain a lot of popularity since the increase of terrorism threats around the world. Efficient human identification method is necessary for prevention. Human identification by gait analysis is one of the most interesting alternative biometric techniques. It is also known as gait recognition which is a way to identify people from their body dimensions and movements while they are walking. Advantages of gait recognition over traditional biometric techniques such as fingerprints are that it can be done at distance without the awareness of the subject who is being identified. Most of all, gait recognition is a biometric technique which is very hard to be altered and imitated due to the uniqueness of each person's walking style. Continuously and permanently mimic of human gait is not possible. This makes gait recognition very accurate to identify the human.In this study, we proposed a new technique to identify people via gait analysis while they are walking freely using Microsoft Kinect. There are two main difficulties in freestyle walks gait recognition. First is the observation angle which is not fixed. Second is the length of walks which is also not fixed. Relative coordinates and random subsequence-based sum-rule classification are introduced to handle with these issues. With our proposed method, entire body is observed as a whole in small parts of movement. Our technique yields 91.78% accuracy which outperforms other existing techniques. Our experimental results show that only small postures and movements from an entire walking sequence reveal unique human characteristics which can be used to accurately identify a human in freestyle walks
DOI: 10.3886/e101787v1
title: Identifying community characteristics associated with resident well-being: A population based study

description: Background: Well-being
is a positively-framed, holistic assessment of health and quality of life that
is associated with longevity and better health outcomes. We aimed to identify county
attributes that are independently associated with a comprehensive,
multi-dimensional assessment of individual well-being.

Methods: We
performed a cross-sectional study examining associations between 77
pre-specified county attributes and a multi-dimensional assessment of
individual US residents’ well-being, captured by the Gallup-Sharecare Well-Being
Index. Our cohort included 338,846 survey participants, randomly sampled from
3,118 US counties or county equivalents.

Findings: We
identified twelve county-level factors that were independently associated with individual
well-being scores. Together, these twelve factors explained 91% of the variance
in individual well-being scores, and they represent four conceptually distinct
categories: demographic (% black); social and economic (child poverty,
education level [
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: Gallup-Sharecare Wellbeing Index
description: telephone interview~~Survey responses are linked to FIPS code characteristics via geocoding. FIPS codes are masked.
description: Survey respondents in the United StatesSmallest Geographic Unit: US FIPS code
description: <br>Complex survey sampling.
DOI: 10.5517/ccdc.csd.cc1ntj99
title: CCDC 1543871: Experimental Crystal Structure Determination

description: Related Article: Jing-Quan Sha, Xiao Li, Ji-Sen Li, Xi-Ya Yang, Hai-Feng Zhang, Ming-Bo Yue, Kunfeng Zhou|2018|Cryst.Growth Des.|18|2289|doi:10.1021/acs.cgd.7b01730
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/n5vtl0
title: First report of a wingless species of Ornebius - a scaly cricket usually with winged males (Orthoptera: Mogoplistidae: Mogoplistinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article He, Zhu-Qing, Lu, Hui, Liu, Yu-Qing, Wang, Han-Qiang, Li, Kai (2018): First report of a wingless species of Ornebius - a scaly cricket usually with winged males (Orthoptera: Mogoplistidae: Mogoplistinae). Zootaxa 4388 (4): 586-591, DOI: https://doi.org/10.11646/zootaxa.4388.4.10
DOI: 10.15468/xtoghl
title: On the types species of the New World dung beetle genus Canthidium Erichson, 1847 (Coleoptera: Scarabaeidae: Scarabaeinae), with an annotated checklist of species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cupello, Mario (2018): On the types species of the New World dung beetle genus Canthidium Erichson, 1847 (Coleoptera: Scarabaeidae: Scarabaeinae), with an annotated checklist of species. Zootaxa 4388 (4): 451-486, DOI: https://doi.org/10.11646/zootaxa.4388.4.1