cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/ak5u7j
title: Review of Neoanchisquilla Moosa, 1991 and Neclorida Manning, 1995 (Crustacea: Stomatopoda: Squilloidea), with descriptions of two new species of Neoanchisquilla from the Indian Ocean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ahyong, Shane T. (1998): Review of Neoanchisquilla Moosa, 1991 and Neclorida Manning, 1995 (Crustacea: Stomatopoda: Squilloidea), with descriptions of two new species of Neoanchisquilla from the Indian Ocean. Records of the Australian Museum 50 (2): 217-229, DOI: 10.3853/j.0067-1975.50.1998.1281, URL: https://journals.australian.museum/ahyong-1998-rec-aust-mus-502-217229/
DOI: 10.6084/m9.figshare.12349700
title: A Redesign of Precalculus at California State University, Monterey Bay

description: With the goal of improving student success, the chancellor of the California State University (CSU) system issued an executive order that required all CSU campuses to eliminate remedial math courses as of Fall 2018 and place all first-year students into appropriate General Education (GE) mathematics/quantitative reasoning courses. The Mathematics and Statistics Department at California State University, Monterey Bay (CSUMB) saw this as an opportunity to redesign and improve our General Education courses, including Precalculus. Our redesigned General Education courses are fully coordinated, incorporate reading, and active learning, and all have an associated co-requisite course for students who need additional support. In this article, we share the changes we made to Precalculus, the process our department undertook to make these changes happen, and some of the successes and challenges we encountered during the first semester of implementation.
DOI: 10.6084/m9.figshare.12349700.v1
title: A Redesign of Precalculus at California State University, Monterey Bay

description: With the goal of improving student success, the chancellor of the California State University (CSU) system issued an executive order that required all CSU campuses to eliminate remedial math courses as of Fall 2018 and place all first-year students into appropriate General Education (GE) mathematics/quantitative reasoning courses. The Mathematics and Statistics Department at California State University, Monterey Bay (CSUMB) saw this as an opportunity to redesign and improve our General Education courses, including Precalculus. Our redesigned General Education courses are fully coordinated, incorporate reading, and active learning, and all have an associated co-requisite course for students who need additional support. In this article, we share the changes we made to Precalculus, the process our department undertook to make these changes happen, and some of the successes and challenges we encountered during the first semester of implementation.
DOI: 10.6084/m9.figshare.12370526
title: Transitioning to an Active Learning Environment for Calculus at the University of Florida

description: In this note, we describe a large-scale transition to an active learning format in first-semester calculus at the University of Florida. Student performance and attitudes are compared across traditional lecture and flipped sections.
DOI: 10.6084/m9.figshare.12370526.v2
title: Transitioning to an Active Learning Environment for Calculus at the University of Florida

description: In this note, we describe a large-scale transition to an active learning format in first-semester calculus at the University of Florida. Student performance and attitudes are compared across traditional lecture and flipped sections.
DOI: 10.6084/m9.figshare.12848478
title: Change Comes from Without: Lessons Learned in a Chaotic Year

description: Our university is one campus of the larger, 23-campus California State University system. In 2017, the Chancellor of the system discontinued the developmental mathematics programs at all 23 campuses. This caught us by surprise and compelled us to act quickly. This article gives an overview of our response, highlighting the change our department underwent to improve our pre-calculus stream and general education courses, making them more interactive, supportive, and student-centered.
DOI: 10.6084/m9.figshare.12848478.v1
title: Change Comes from Without: Lessons Learned in a Chaotic Year

description: Our university is one campus of the larger, 23-campus California State University system. In 2017, the Chancellor of the system discontinued the developmental mathematics programs at all 23 campuses. This caught us by surprise and compelled us to act quickly. This article gives an overview of our response, highlighting the change our department underwent to improve our pre-calculus stream and general education courses, making them more interactive, supportive, and student-centered.
DOI: 10.15139/s3/qoqfwy
title: Monmouth University National Poll, Number 217

description: This survey was conducted using a national sample and addresses the coronavirus outbreak, the 2020 election for president, race relations in the country, local police, protests in response to George Floyd's death, and questions on social media.
DOI: 10.5258/soton/wp00709
title: South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0.

description: This data release includes gridded estimates of population sizes at approximately 100 m resolution with national coverage across South Sudan. This includes estimates of total population sizes and population counts in 40 different age-sex groups. It also includes a breakdown of the total population sizes into internally displaced persons (IDPs) and non-IDPs. These results were produced using publicly available census projections from the South Sudan National Bureau of Statistics and displacement data from the International Organisation for Migration (IOM) and the United Nations Refugee Agency (UNHCR), as well as building footprints from Maxar/Ecopia that were derived from recent satellite imagery.
DOI: 10.5258/soton/wp00710
title: Description of methods for South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0.

description: This report describes the method used to produce gridded estimates of population sizes, that account for displacement, at approximately 100 m resolution with national coverage across South Sudan. The method uses publicly available census projections from the South Sudan National Bureau of Statistics and displacement data from the International Organisation for Migration (IOM) and the United Nations Refugee Agency (UNHCR), as well as building footprints from Maxar/Ecopia that were derived from recent satellite imagery.
DOI: 10.5517/ccdc.csd.cc2bkht7
title: CCDC 2161779: Experimental Crystal Structure Determination

description: Related Article: Sibo Wang, Bo Sun, Zhongmin Su, Guohui Hong, Xiao Li, Yanling Liu, Qingqing Pan, Jing Sun|2022|Inorg.Chem.Front.|9|3259|doi:10.1039/D2QI00682K
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: 10.5517/ccdc.csd.cc2bkhv8
title: CCDC 2161780: Experimental Crystal Structure Determination

description: Related Article: Sibo Wang, Bo Sun, Zhongmin Su, Guohui Hong, Xiao Li, Yanling Liu, Qingqing Pan, Jing Sun|2022|Inorg.Chem.Front.|9|3259|doi:10.1039/D2QI00682K
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.7870104
title: MR to Ultrasound Registration for Prostate Challenge - Dataset

description: Multimodal image registration between pre-operative and intra-operative imaging enables the fusion of clinically important information during many surgical and interventional tasks. The registration of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) images assists prostate biopsy and focal therapy, arguably having transformed prostate cancer patient care to a less invasive and more localized diagnostic, monitoring and treatment pathway. Though, even with great progress having been made by the community in the past two decades, challenges remain in this application. First, paired MRI and TRUS data from a sizable patient cohort are not routinely stored in clinical practice, and publicly-accessible data is scarce and low-quality. Second, annotating anatomical and pathological landmarks on both images - critical in representing corresponding locations for validation - requires expert domain knowledge and experience from multiple disciplines including urology, radiology and pathology. In addition to its prevalence-warranted clinical importance, this is also a unique application that saw a wide range of registration algorithms proposed and housed intriguing debates such as rigid-versus-nonrigid and FLE-versus-TRE. Both feature- and intensity-based classical methods and unsupervised or segmentation-driven learning methods have been innovated with some most technically interesting approaches in the field such as biomechanical regularisation and statistical motion modelling. The mu-Reg challenge aims to provide well-curated, yet real-world clinical data, with more than a hundred paired MR and TRUS images, annotated carefully by researchers and clinicians with more than 15 years of experience working with this application. The outcome of the challenge includes one of the first multimodal imaging data, facilitated with expert annotations for validation, for benchmarking advancement in registration methodology, as well as for future research in managing the most common non-skin cancer in men. --- <strong>The training and validation data may be used within the research remit of this challenge and in further research-related publications. The training and validation data are not to be used commercially. However, if the desired use is unclear, the organizers ask that those accessing the data refrain from further use or distribution outside of this challenge.</strong> --- Challenge information is accessible at: https://muregpro.github.io/
DOI: 10.5281/zenodo.7870105
title: MR to Ultrasound Registration for Prostate Challenge - Dataset

description: Multimodal image registration between pre-operative and intra-operative imaging enables the fusion of clinically important information during many surgical and interventional tasks. The registration of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) images assists prostate biopsy and focal therapy, arguably having transformed prostate cancer patient care to a less invasive and more localized diagnostic, monitoring and treatment pathway. Though, even with great progress having been made by the community in the past two decades, challenges remain in this application. First, paired MRI and TRUS data from a sizable patient cohort are not routinely stored in clinical practice, and publicly-accessible data is scarce and low-quality. Second, annotating anatomical and pathological landmarks on both images - critical in representing corresponding locations for validation - requires expert domain knowledge and experience from multiple disciplines including urology, radiology and pathology. In addition to its prevalence-warranted clinical importance, this is also a unique application that saw a wide range of registration algorithms proposed and housed intriguing debates such as rigid-versus-nonrigid and FLE-versus-TRE. Both feature- and intensity-based classical methods and unsupervised or segmentation-driven learning methods have been innovated with some most technically interesting approaches in the field such as biomechanical regularisation and statistical motion modelling. The mu-Reg challenge aims to provide well-curated, yet real-world clinical data, with more than a hundred paired MR and TRUS images, annotated carefully by researchers and clinicians with more than 15 years of experience working with this application. The outcome of the challenge includes one of the first multimodal imaging data, facilitated with expert annotations for validation, for benchmarking advancement in registration methodology, as well as for future research in managing the most common non-skin cancer in men. --- <strong>The training and validation data may be used within the research remit of this challenge and in further research-related publications. The training and validation data are not to be used commercially. However, if the desired use is unclear, the organizers ask that those accessing the data refrain from further use or distribution outside of this challenge.</strong> --- Challenge information is accessible at: https://muregpro.github.io/
DOI: 10.57770/iu6oym
title: Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) Prediction

description: Futures markets offer investors many attractive advantages, including high leverage, high liquidity, fair, and fast returns. Highly leveraged positions and big contract sizes, on the other hand, expose investors to the risk of massive losses from even minor market changes. Among the numerous stock market forecasting tools, deep learning has recently emerged as a favorite tool in the research community. This study presents an approach for applying deep learning models to predict the monthly average of the Taiwan Capitalization Weighted Stock Index (TAIEX) to support decision-making in trading Mini-TAIEX futures (MTX). We inspected many global financial and economic factors to find the most valuable predictor variables for the TAIEX, and we examined three different deep learning architectures for building prediction models. A simulation on trading MTX was then performed with a simple trading strategy and two different stop-loss strategies to show the effectiveness of the models. We found that the Temporal Convolutional Network (TCN) performed better than other models, including the two baselines, i.e., linear regression and extreme gradient boosting. Moreover, stop-loss strategies are necessary, and a simple one could be sufficient to reduce a severe loss effectively.
DOI: 10.57770/jtexqa
title: Citation Text Geneartion

description: Citation Text Geneartion
DOI: 10.34740/kaggle/ds/3360553
title: Quiz of french highway code
DOI: 10.3886/e192063
title: Fueling the party machine: Evidence from Greece during Metapolitefsi

description: Since Portugal’s “Carnation Revolution” of 1974, numerous countries around the world have undergone some form of democratic transition in a political phenomenon that has been identified by Huntington (1993) as the “third wave” of democratization. Although the outcome was consolidated for many of these “new democracies”, significant challenges have arisen due to the large structural changes accompanying the political regime change. One such challenge is the absence of strong checks and balances that allow political actors to influence how the bureaucratic apparatus functions. Consequently, many studies examine the possibility of policy manipulation by the incumbent for political economy reasons. This paper focuses on Greece after the restoration of democracy in 1974 to examine (i) the possibility of party favoritism in the allocation of intergovernmental transfers and (ii) the role of state resources in local party building.<br>
description: Universe of prefectures and municipalities in the Greek territory.
DOI: 10.3886/e192063v1
title: Fueling the party machine: Evidence from Greece during Metapolitefsi

description: Since Portugal’s “Carnation Revolution” of 1974, numerous countries around the world have undergone some form of democratic transition in a political phenomenon that has been identified by Huntington (1993) as the “third wave” of democratization. Although the outcome was consolidated for many of these “new democracies”, significant challenges have arisen due to the large structural changes accompanying the political regime change. One such challenge is the absence of strong checks and balances that allow political actors to influence how the bureaucratic apparatus functions. Consequently, many studies examine the possibility of policy manipulation by the incumbent for political economy reasons. This paper focuses on Greece after the restoration of democracy in 1974 to examine (i) the possibility of party favoritism in the allocation of intergovernmental transfers and (ii) the role of state resources in local party building.<br>
description: Universe of prefectures and municipalities in the Greek territory.
DOI: 10.4121/e298fc48-daa8-436f-a5f7-a12030f6ebed
title: Data underlying the publication: Speed behaviour upon approaching freeway curves

description: High Frequency Floating Car Data was collected to analyse circa 1 million individual speed profiles on 153 Dutch freeway curves. By defining the positions where the acceleration approaches 0 m/s2 before and after a curve starts, the positions when the driver started and stopped decelerating upon curve entry were defined. These positions and speeds are put in a database, combined with detailed reconstruction of the curves and their surroundings, as well as three dimensional sight distance analysis. This aggregated database is shared here, along a file explaining the different variables in the database.<br>More backgrounds can be read in:<br>Vos, J., Farah, H., & Hagenzieker, M. (2021). Speed behaviour upon approaching freeway curves. Accident Analysis & Prevention, 159, 106276. doi: https://doi.org/10.1016/j.aap.2021.106276
DOI: 10.4121/e298fc48-daa8-436f-a5f7-a12030f6ebed.v1
title: Data underlying the publication: Speed behaviour upon approaching freeway curves

description: High Frequency Floating Car Data was collected to analyse circa 1 million individual speed profiles on 153 Dutch freeway curves. By defining the positions where the acceleration approaches 0 m/s2 before and after a curve starts, the positions when the driver started and stopped decelerating upon curve entry were defined. These positions and speeds are put in a database, combined with detailed reconstruction of the curves and their surroundings, as well as three dimensional sight distance analysis. This aggregated database is shared here, along a file explaining the different variables in the database.<br>More backgrounds can be read in:<br>Vos, J., Farah, H., & Hagenzieker, M. (2021). Speed behaviour upon approaching freeway curves. Accident Analysis & Prevention, 159, 106276. doi: https://doi.org/10.1016/j.aap.2021.106276
DOI: 10.4121/5cad48c2-2767-49a2-9e2c-cc7f84ab9182
title: Data underlying the publication: Speed development at freeway curves based on high frequency floating car data

description: Flooating Car Data in 153 curves in The Netherlands were collected at a resolution of 1 Hz and were filtered on free-flow periods, to analyse over 800 thousand unique continuous free-flow speed observations on these curves. These speed profiles were aggregated to specific break points along the speed profile, and per curve the 85th percentile was extracted. These speeds and positions are given in this database, along with relevant curve characteristics. The variables are explained in an additional sheet.<br>More backgrounds can be read in:<br>Vos, J., & Farah, H. (2022). Speed development at freeway curves based on high frequency floating car data. European Journal of Transport and Infrastructure Research, 22(2), 201-223. doi:10.18757/ejtir.2022.22.2.6114
DOI: 10.5517/ccdc.csd.cc29221j
title: CCDC 2117146: Experimental Crystal Structure Determination

description: Related Article: Xun Feng, Yapei Shang, Ka Zhang, Manzhou Hong, Junfeng Li, Hongdi Xu, Liya Wang, Zhongjun Li|2022|CrystEngComm|24|4187|doi:10.1039/D2CE00613H
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: 10.5517/ccdc.csd.cc29222k
title: CCDC 2117147: Experimental Crystal Structure Determination

description: Related Article: Xun Feng, Yapei Shang, Ka Zhang, Manzhou Hong, Junfeng Li, Hongdi Xu, Liya Wang, Zhongjun Li|2022|CrystEngComm|24|4187|doi:10.1039/D2CE00613H
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: 10.5517/ccdc.csd.cc29223l
title: CCDC 2117148: Experimental Crystal Structure Determination

description: Related Article: Xun Feng, Yapei Shang, Ka Zhang, Manzhou Hong, Junfeng Li, Hongdi Xu, Liya Wang, Zhongjun Li|2022|CrystEngComm|24|4187|doi:10.1039/D2CE00613H
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.6365462
title: The ImageCLEFAware 2021 Dataset

description: Images constitute a large part of the content shared on social networks. Their disclosure is often related to a particular context and users are often unaware of the fact that, depending on their privacy status, images can be accessible to third parties and be used for purposes which were initially unforeseen. For instance, it is common practice for employers to search information about their future employees online. Another example of usage is that of automatic credit scoring based on online data. Most existing approaches which propose feedback about shared data focus on inferring user characteristics and their practical utility is rather limited. We hypothesize that user feedback would be more efficient if conveyed through the real-life effects of data sharing. The objective of the task is to automatically score user photographic profiles in a series of situations with strong impact on her/his life. Four such situations were modeled this year and refer to searching for: (1) a bank loan, (2) an accommodation, (3) a job as waitress/waiter and (4) a job in IT. The inclusion of several situations is interesting in order to make it clear to the end users of the system that the same image will be interpreted differently depending on the context. The final objective of the task is to encourage the development of efficient user feedback, such as the YDSYO Android app.