cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e117002
title: Emoji and Indirect Replies

description: In face-to-face communication there are multiple paralinguistic and gestural features that facilitate recognition of a speaker’s intended meaning, features that are lacking when people communicate digitally (e.g., texting). As a result, substitutes have emerged (expressive punctuation, capitalization, etc.) to facilitate communication in these situations. However, little is known about the comprehension processes involved in digital communication. In this research we examined the role of emoji in the comprehension of face-threatening, indirect replies. Participants in two experiments read question – reply sequences and then judged the accuracy of interpretations of the replies. On critical trials the reply violated the relation maxim and conveyed a negative, face-threatening response. On one-third of the trials the reply contained only text, on one-third of the trials the reply contained text and an emoji, and on one-third of the trials the reply contained only an emoji. When the question requested potentially negative information about one of the interactants (disclosures and opinions), participants were more likely to endorse the indirect meaning of the reply, and did so faster, when the reply contained an emoji than when it did not. This effect did not occur when the question was a request for action, a more conventional type of indirect reply. Overall, then, this research demonstrates that emoji can sometimes facilitate the comprehension of meaning. Future research is needed to examine the boundary conditions for this effect. <br>Keywords: Emoji, language processing, indirect meaning, relation violation
description: other;
DOI: 10.3886/e117002v1-22503
title: Emoji and Indirect Replies

description: In face-to-face communication there are multiple paralinguistic and gestural features that facilitate recognition of a speaker’s intended meaning, features that are lacking when people communicate digitally (e.g., texting). As a result, substitutes have emerged (expressive punctuation, capitalization, etc.) to facilitate communication in these situations. However, little is known about the comprehension processes involved in digital communication. In this research we examined the role of emoji in the comprehension of face-threatening, indirect replies. Participants in two experiments read question – reply sequences and then judged the accuracy of interpretations of the replies. On critical trials the reply violated the relation maxim and conveyed a negative, face-threatening response. On one-third of the trials the reply contained only text, on one-third of the trials the reply contained text and an emoji, and on one-third of the trials the reply contained only an emoji. When the question requested potentially negative information about one of the interactants (disclosures and opinions), participants were more likely to endorse the indirect meaning of the reply, and did so faster, when the reply contained an emoji than when it did not. This effect did not occur when the question was a request for action, a more conventional type of indirect reply. Overall, then, this research demonstrates that emoji can sometimes facilitate the comprehension of meaning. Future research is needed to examine the boundary conditions for this effect. <br>Keywords: Emoji, language processing, indirect meaning, relation violation
description: other~~
DOI: 10.25345/c5ct2z
title: MassIVE MSV000084986 - urine samples practice test clinical trial2
title: Urine spectrum files ran in negative ion mode from subject 60 minus 5, 0 and 10.
DOI: 10.17632/s45srzvmfk.1
title: Fuel Additive Effect on Fifteen Heavy Duty Diesel Vehicle Fleets

description: Ground vehicles considered in this analysis used approximately 475,000 liters of treated fuel and covered a total of 14 million kilometers using CG-7 fuel additive. The number of test vehicles (538), extensive testing period and significant distance traveled gives great confidence in the result. The combined average weighted fuel saving due to using CG-7 fuel additive is calculated to be approximately 9.7%.
DOI: 10.17632/zf8jptfrvb.1
title: Hong Kong University of Science and Technology (Test Report)

description: Particle Size Distribution of Water Droplets in Fuel Additive
DOI: 10.15468/mrjcmg
title: Systematics, Morphology and Biogeography Phylogeny of the Augochlora clade with the description of four new species (Hymenoptera, Apoidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gonçalves, Rodrigo Barbosa (2019): Systematics, Morphology and Biogeography Phylogeny of the Augochlora clade with the description of four new species (Hymenoptera, Apoidea). Revista Brasileira de Entomologia 63: 91-100, DOI: 10.1016/j.rbe.2018.12.003
DOI: 10.5281/zenodo.3677440
title: An Empirical Study on the Use and Misuse of Java 8 Streams

description: Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential to this paradigm. Our study involved analyzing 34 Java projects and 5.53 million lines of code, along with 719 manually examined code patches. Various automated, including interprocedural static analysis, and manual methodologies were employed. The results indicate that streams are pervasive, stream parallelization is not widely used, and performance is a crosscutting concern that accounted for the majority of fixes. We also present coincidences that both confirm and contradict the results of related studies. The study advances our understanding of streams, as well as benefits practitioners, programming language and API designers, tool developers, and educators alike.
description: Support for this project was provided by PSC-CUNY Award #61793-00 49, jointly funded by The Professional Staff Congress and The City University of New York. This material is based upon work supported by the National Science Foundation under Grant Nos. CCF 1845893, CNS 1842456, and CCF 1822965.
DOI: 10.5281/zenodo.3677441
title: An Empirical Study on the Use and Misuse of Java 8 Streams

description: Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential to this paradigm. Our study involved analyzing 34 Java projects and 5.53 million lines of code, along with 719 manually examined code patches. Various automated, including interprocedural static analysis, and manual methodologies were employed. The results indicate that streams are pervasive, stream parallelization is not widely used, and performance is a crosscutting concern that accounted for the majority of fixes. We also present coincidences that both confirm and contradict the results of related studies. The study advances our understanding of streams, as well as benefits practitioners, programming language and API designers, tool developers, and educators alike.
description: Support for this project was provided by PSC-CUNY Award \#61793-00 49, jointly funded by The Professional Staff Congress and The City University of New York. This material is based upon work supported by the National Science Foundation under Grant Nos. CCF 1845893, CNS 1842456, and CCF 1822965.
DOI: 10.5281/zenodo.3677449
title: An Empirical Study on the Use and Misuse of Java 8 Streams

description: Streaming APIs allow for big data processing of native data structures by providing MapReduce-like operations over these structures. However, unlike traditional big data systems, these data structures typically reside in shared memory accessed by multiple cores. Although popular, this emerging hybrid paradigm opens the door to possibly detrimental behavior, such as thread contention and bugs related to non-execution and non-determinism. This study explores the use and misuse of a popular streaming API, namely, Java 8 Streams. The focus is on how developers decide whether or not to run these operations sequentially or in parallel and bugs both specific and tangential to this paradigm. Our study involved analyzing 34 Java projects and 5.53 million lines of code, along with 719 manually examined code patches. Various automated, including interprocedural static analysis, and manual methodologies were employed. The results indicate that streams are pervasive, stream parallelization is not widely used, and performance is a crosscutting concern that accounted for the majority of fixes. We also present coincidences that both confirm and contradict the results of related studies. The study advances our understanding of streams, as well as benefits practitioners, programming language and API designers, tool developers, and educators alike.
description: Support for this project was provided by PSC-CUNY Award #61793-00 49, jointly funded by The Professional Staff Congress and The City University of New York. This material is based upon work supported by the National Science Foundation under Grant Nos. CCF 1845893, CNS 1842456, and CCF 1822965.
DOI: 10.6073/pasta/67de94357b7fba74a03c736a7f5b86b4
title: H.J. Andrews Forest Discovery Trail: An interpretation of place based on curriculum of interpretive learning trail and field trip support, 2016

description: The H.J. Andrews Experimental Forest (HJA) in the Oregon Cascades is one of 24 sites in the Long-Term Ecological Research (LTER) Network. It supports research on forests, streams, and watersheds, and fosters collaborations between ecosystem science, education, natural resource management, and the humanities. The site currently hosts 85 interdisciplinary research projects, as well as experiential training for undergraduate and graduate students. In addition, the HJA runs a vibrant professional development program for teachers. Because much of the HJA’s terrain is steep and occupied with sensitive research materials, middle and high school visits are limited to tours in designated areas. The Discovery Trail was developed in 2011 as a place for visitors (~1800 in 2014) to explore the forest and site research themes from HJA headquarters, but it is not yet amenable to unguided educational exploration. We have designed an interpretive learning trail and field trip support framework for the Discovery Trail. Our primary objective is to educate students about place while guiding them to reflect upon their own relationships with place and personal responsibility for stewardship behavior. Long-term place-based conservation research is woven with creative writing from the HJA writer’s residency program and paired with reflection and creative inquiry. Interactive trail stops enable students to engage the forest from multiple perspectives. The Discovery Trail is wired for intranet wifi and content and assessment will be delivered by digital media (i.e. iPads). We will evaluate conceptual learning according to the Framework for the Next Generation Science Standards, as well as observe affective changes in sense of place, empowerment, and expressions of care or empathy through analysis of student responses to the trail activities. Because conservation attitudes require not just knowledge about systems, but also emotional connections to the material, our learning experience will incorporate art, ethics, and reflection alongside environmental science and natural history.
DOI: 10.15468/zfyys3
title: New Central American and Mexican Enaphalodes Haldeman, 1847 (Coleoptera: Cerambycidae) with taxonomic notes and a key to species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lingafelter, Steven W., Santos-Silva, Antonio (2018): New Central American and Mexican Enaphalodes Haldeman, 1847 (Coleoptera: Cerambycidae) with taxonomic notes and a key to species. Pap. Avulsos Zool. 58: 1-17, DOI: 10.11606/1807-0205/2018.58.11
DOI: 10.25739/jvs4-xr88
title: GOMAP TreeGenesDB sugar pine assembly v1.5

description: This dataset generated by GOMAP is a high-coverage and reproducible functional annotation set based on Gene Ontology (GO) term assignments that covers all TreeGenesDB sugar pine assembly v1.5 genome with a median of 10 annotations per gene model. It was created in September of 2019.
DOI: 10.25387/g3.12724943.v1
title: Supplemental Material for Nyine et al., 2020

description: Supplemental material
DOI: 10.25387/g3.12724943
title: Supplemental Material for Nyine et al., 2020

description: Supplemental material
DOI: 10.21227/ff84-5095
title: Data for paper "Hybrid Symbolic-Numeric Library for Power System Modeling and Analysis"

description: This data set containts the detailed parameters of the modified Kundur's two-area system that is used in the manuscript "Hybrid Symbolic-Numeric Library for PowerSystem Modeling and Analysis"
DOI: 10.21227/p52v-a734
title: Data for paper "Hybrid Symbolic-Numeric Library for Power System Modeling and Analysis"

description: This data set containts the detailed parameters of the modified Kundur's two-area system that is used in the manuscript "Hybrid Symbolic-Numeric Library for PowerSystem Modeling and Analysis"
DOI: 10.5281/zenodo.3968748
title: Dataset on the dynamics of shallow wakes in gravel-bed floodplains: results of the field experiments on the Tagliamento River, Italy

description: Shallow wakes in fluvial environments are hydrodynamic structures produced by in-stream obstructions such as boulders, log jams, patches of riparian and aquatic vegetation. Dynamics of wakes affect a range of biotic and abiotic processes including dispersal of aquatic organisms, mixing of pollutants, sediment deposition and therefore geomorphological changes in rivers. Despite their importance, fundamental mechanisms of shallow wakes development are not fully understood due to lack of experimental data collected in natural environments and free of scaling effects compared to laboratory studies. Present dataset provides explicit information on hydrodynamics of shallow wake flows produced by solid and porous instream obstructions. Controlled field experiments with 30 runs were conducted at the side-branch of the gravel-bed Tagliamento River in the North-Eastern Italy in the period from July till October 2019. During the experimental campaign we varied characteristics of the instream obstructions (their diameter, solid volume fraction, submergence and porosity at the leading edge) and approach velocity. Each run included: (1) measurements of mean velocity and turbulence in the longitudinal (25-30 sampling locations) and lateral transects (8-10 transects with 14 sampling locations) of the constructed experimental channel where model obstructions were placed; (2) detailed surveys of the free surface topography; and (3) flow visualizations and recordings of the wakes patterns using a drone. The dataset is intended to be used for understanding fundamental mechanisms of shallow wakes development in natural fluvial environments, examination of scaling effects and verification of numerical models.
DOI: 10.5281/zenodo.3968747
title: Dataset on the dynamics of shallow wakes in gravel-bed floodplains: results of the field experiments on the Tagliamento River, Italy

description: Shallow wakes in fluvial environments are hydrodynamic structures produced by in-stream obstructions such as boulders, log jams, patches of riparian and aquatic vegetation. Dynamics of wakes affect a range of biotic and abiotic processes including dispersal of aquatic organisms, mixing of pollutants, sediment deposition and therefore geomorphological changes in rivers. Despite their importance, fundamental mechanisms of shallow wakes development are not fully understood due to lack of experimental data collected in natural environments and free of scaling effects compared to laboratory studies. Present dataset provides explicit information on hydrodynamics of shallow wake flows produced by solid and porous instream obstructions. Controlled field experiments with 30 runs were conducted at the side-branch of the gravel-bed Tagliamento River in the North-Eastern Italy in the period from July till October 2019. During the experimental campaign we varied characteristics of the instream obstructions (their diameter, solid volume fraction, submergence and porosity at the leading edge) and approach velocity. Each run included: (1) measurements of mean velocity and turbulence in the longitudinal (25-30 sampling locations) and lateral transects (8-10 transects with 14 sampling locations) of the constructed experimental channel where model obstructions were placed; (2) detailed surveys of the free surface topography; and (3) flow visualizations and recordings of the wakes patterns using a drone. The dataset is intended to be used for understanding fundamental mechanisms of shallow wakes development in natural fluvial environments, examination of scaling effects and verification of numerical models.
DOI: 10.5281/zenodo.3676973
title: EstSoil-EH v1.0: An eco-hydrological modelling parameters dataset derived from the Soil Map of Estonia data deposit

description: We created an extended eco-hydrological dataset for Estonia, the EstSoil-EH v1.0, containing derived numerical values for the following data in all of the mapped soil units in the 1:10 000 soil map: soil profiles (e.g., layers, depths), texture (clay, silt, and sand components), rockiness, and physical variables related to water and carbon (bulk density, hydraulic conductivity, organic carbon content). Ultimately, our objective was to develop a reproducible method for deriving numerical values to support modelling and prediction of eco-hydrological processes in Estonia using the popular Soil and Water Assessment Tool. For more information on the development of this dataset look for "EstSoil-EH v1.0: An eco-hydrological modelling parameters dataset derived from the Soil Map of Estonia", Alexander Kmoch, Arno Kanal†, Alar Astover, Ain Kull, Holger Virro, Aveliina Helm, Meelis Pärtel, Ivika Ostonen and Evelyn Uuemaa, 2019, Earth System Science Data (ESSD), ISSN 1866-3508, eISSN 1866-3516,<br> https://www.earth-syst-sci-data.net/
DOI: 10.5281/zenodo.3677485
title: Supplementary dataset for "Global agricultural economic water scarcity"

description: This repository contains supporting data for: "<strong>Global agricultural economic water scarcity"</strong> Cite: Rosa, L., Chiarelli, D.D., Rulli, M.C., Dell’Angelo J., and D’Odorico, P. Global agricultural economic water scarcity. Science Advances. 2020<br> Email: lorenzo_rosa@berkeley.edu The dataset contains the number of months (#months) croplands are facing green water scarcity (GWS), blue water scarcity (BWS), and economic water scarcity (EWS). Where "0" indicates that the pixel does not face water scarcity, "1" indicates that the pixel is facing water scarcity for 1 month, "12" indicates that the pixel is facing water scarcity for 12 months. Files are uploaded in arcmap and netcdf formats.
description: {"references": ["Rosa, L., Chiarelli, D.D., Rulli, M.C., Dell'Angelo J., and D'Odorico, P. Global agricultural economic water scarcity. Science Advances. 2020"]}
DOI: 10.5281/zenodo.3677484
title: Supplementary dataset for "Global agricultural economic water scarcity"

description: This repository contains supporting data for: "<strong>Global agricultural economic water scarcity"</strong> Cite: Rosa, L., Chiarelli, D.D., Rulli, M.C., Dell’Angelo J., and D’Odorico, P. Global agricultural economic water scarcity. Science Advances. 2020<br> Email: lorenzo_rosa@berkeley.edu The dataset contains the number of months (#months) croplands are facing green water scarcity (GWS), blue water scarcity (BWS), and economic water scarcity (EWS). Where "0" indicates that the pixel does not face water scarcity, "1" indicates that the pixel is facing water scarcity for 1 month, "12" indicates that the pixel is facing water scarcity for 12 months. Files are uploaded in arcmap and netcdf formats.
description: {"references": ["Rosa, L., Chiarelli, D.D., Rulli, M.C., Dell'Angelo J., and D'Odorico, P. Global agricultural economic water scarcity. Science Advances. 2020"]}
DOI: 10.5517/ccdc.csd.cc131ywz
title: CCDC 1014781: Experimental Crystal Structure Determination

description: Related Article: Peng Wang,  Zhi-Rong Chen,  Hao-Hong Li|2020|J.Cluster Sci.|31|943|doi:10.1007/s10876-019-01699-1
DOI: 10.5517/ccdc.csd.cc131yx0
title: CCDC 1014782: Experimental Crystal Structure Determination

description: Related Article: Peng Wang,  Zhi-Rong Chen,  Hao-Hong Li|2020|J.Cluster Sci.|31|943|doi:10.1007/s10876-019-01699-1
DOI: 10.5517/ccdc.csd.cc2145v7
title: CCDC 1880858: Experimental Crystal Structure Determination

description: Related Article: Lin‐Sheng Lei, Bo‐Wen Wang, Da‐Ping Jin, Zhu‐Peng Gao, Huan‐Liang, Shao‐Hua Wang, Xue‐Tao Xu, Kun Zhang, Xiao‐Yun Zhang|2020|Adv.Synth.Catal.|362|2870|doi:10.1002/adsc.202000261
DOI: 10.5517/ccdc.csd.cc23690n
title: CCDC 1942460: Experimental Crystal Structure Determination

description: Related Article: Hui-Feng Wang,  Ji-Xia Tang,  Hua-Hong Zou,  Fu-Pei Liang|2020|J.Cluster Sci.|31|1155|doi:10.1007/s10876-019-01723-4
DOI: 10.5517/ccdc.csd.cc23d7b3
title: CCDC 1948174: Experimental Crystal Structure Determination

description: Related Article: Hui-Feng Wang,  Ji-Xia Tang,  Hua-Hong Zou,  Fu-Pei Liang|2020|J.Cluster Sci.|31|1155|doi:10.1007/s10876-019-01723-4
DOI: 10.5517/ccdc.csd.cc23d7c4
title: CCDC 1948175: Experimental Crystal Structure Determination

description: Related Article: Hui-Feng Wang,  Ji-Xia Tang,  Hua-Hong Zou,  Fu-Pei Liang|2020|J.Cluster Sci.|31|1155|doi:10.1007/s10876-019-01723-4
DOI: 10.5517/ccdc.csd.cc237gjc
title: CCDC 1943592: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Ziqiang Qin, Wenxu Chang, Jiazhu Li, Ruoqian Fan, Xing Wu, Rongrong Guo, Xiangqi Xie, Lanxin Zhou|2020|Adv.Synth.Catal.|362|2864|doi:10.1002/adsc.202000047
DOI: 10.5517/ccdc.csd.cc24dmmt
title: CCDC 1978346: Experimental Crystal Structure Determination

description: Related Article: Heng Zhang, Yinghua Yu, Xueliang Huang|2020|Org.Biomol.Chem.|18|5115|doi:10.1039/D0OB00978D
DOI: 10.5517/ccdc.csd.cc24f1g3
title: CCDC 1978744: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Pei-Long Ma, Hong-Chao Chen, Chuan-Ying Li, Peng Wang|2020|Angew.Chem.,Int.Ed.|59|8937|doi:10.1002/anie.202002289
DOI: 10.6073/pasta/1aded332d4b8c1ead41649417b07a1d7
title: Monitoring of nutrient and sulfide concentrations in porewaters of mangrove forests from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), South Florida from December 2000 to Present

description: To monitor soil chemistry in the mangrove sites SRS4, SRS5 and SRS6, and TS/Ph6b, TS/Ph7b and TS/Ph8, porewater concentrations of sulfide, PO4, NH4, NO2 and NO3 have been analyzed.
DOI: 10.5517/ccdc.csd.cc24f1j5
title: CCDC 1978746: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Pei-Long Ma, Hong-Chao Chen, Chuan-Ying Li, Peng Wang|2020|Angew.Chem.,Int.Ed.|59|8937|doi:10.1002/anie.202002289