cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bz4m3
title: CCDC 2173925: Experimental Crystal Structure Determination

description: Related Article: Maike Thiele, Thomas Rose, Märt Lõkov, Sophia Stadtfeld, Sofja Tshepelevitsh, Elisabeth Parman, Karina Opara, Christoph Wölper, Ivo Leito, Stefan Grimme, Jochen Niemeyer|2023|Chem.-Eur.J.|29|e202202953|doi:10.1002/chem.202202953
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.cc2bz4n4
title: CCDC 2173926: Experimental Crystal Structure Determination

description: Related Article: Maike Thiele, Thomas Rose, Märt Lõkov, Sophia Stadtfeld, Sofja Tshepelevitsh, Elisabeth Parman, Karina Opara, Christoph Wölper, Ivo Leito, Stefan Grimme, Jochen Niemeyer|2023|Chem.-Eur.J.|29|e202202953|doi:10.1002/chem.202202953
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: 10.25380/iastate.19719873
title: Global 1 km resolution daily near-surface air temperature for 2014

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2014 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: replaced corrupted file EuropeanAsia_Ta_SVCMsp_2014TMAX_179.tif All 2014 files updated 5/11/23
DOI: 10.25380/iastate.19719873.v2
title: Global 1 km resolution daily near-surface air temperature for 2014

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2014 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.25380/iastate.19719873.v3
title: Global 1 km resolution daily near-surface air temperature for 2014

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2014 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: replaced corrupted file EuropeanAsia_Ta_SVCMsp_2014TMAX_179.tif All 2014 files updated 5/11/23
DOI: 10.25380/iastate.19726066
title: Global 1 km resolution daily near-surface air temperature for 2016

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2016 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: All 2016 files updated 5/11/23
DOI: 10.25380/iastate.19726066.v3
title: Global 1 km resolution daily near-surface air temperature for 2016

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2016 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: All 2016 files updated 5/11/23
DOI: 10.25380/iastate.19726066.v2
title: Global 1 km resolution daily near-surface air temperature for 2016

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2016 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.5281/zenodo.7929880
title: Effectiveness Assessment of E-Ticketing Technology in Construction of Transportation Projects

description: The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies for overcoming limitations. Therefore, this study aims to (1) Indicate inefficiencies in the conventional paper ticketing framework and identify suitable technology to overcome the inefficiencies. (2) Identify benefits, quantify the reduction in inspection staff and time savings incurred by implementing e-Ticketing technology. (3) Develop a multi-criteria decision-making model for implementation of e-Ticketing platform in the perspective of state DOTs and general contractors. (4) Identify and rank the major limitations in the process of implementing e-Ticketing technology and suggest suitable strategies to overcome them. To achieve the study's objective, review section is followed by a semi-structured interview and survey results. Based on the survey responses collected from 20 state DOTs, the study categorized the critical effectiveness indicators into 3 categories and ranked the operational challenges using the Relative Importance Index. The study analyses the critical effectiveness indicators (CEIs) of e-Ticketing technology and presents a fuzzy index-based decision-making model for evaluating the adoption priorities. A comparison was made between the required number of inspectors prior to and after the implementation of e-Ticketing, and it was found that projects requiring multiple inspectors could reduce their workforce by 25% by implementing e-Ticketing. The study's findings will assist practitioners with an assessment tool to gain insights relating to priority levels in implementing the e-Ticketing technology.
description: Tran-SET Project: 21TSUTA02
DOI: 10.5281/zenodo.7929879
title: Effectiveness Assessment of E-Ticketing Technology in Construction of Transportation Projects

description: The construction of highway infrastructure has devoted significant resources towards e-Construction to reduce the paperwork and automate the tasks in daily operations. Electronic Ticketing (e-Ticketing) is one such component of e-Construction that aids in the digital transfer of material tickets such as asphalt and concrete which accounts for more than fifty per cent of construction costs. Despite the benefits of e-Ticketing, many state departments and agencies are unwilling to transition into this technology. No studies have identified the cause of the delay in the implementation process, developed a framework to comprehend the platform's full potential, quantified savings, and suggested strategies for overcoming limitations. Therefore, this study aims to (1) Indicate inefficiencies in the conventional paper ticketing framework and identify suitable technology to overcome the inefficiencies. (2) Identify benefits, quantify the reduction in inspection staff and time savings incurred by implementing e-Ticketing technology. (3) Develop a multi-criteria decision-making model for implementation of e-Ticketing platform in the perspective of state DOTs and general contractors. (4) Identify and rank the major limitations in the process of implementing e-Ticketing technology and suggest suitable strategies to overcome them. To achieve the study's objective, review section is followed by a semi-structured interview and survey results. Based on the survey responses collected from 20 state DOTs, the study categorized the critical effectiveness indicators into 3 categories and ranked the operational challenges using the Relative Importance Index. The study analyses the critical effectiveness indicators (CEIs) of e-Ticketing technology and presents a fuzzy index-based decision-making model for evaluating the adoption priorities. A comparison was made between the required number of inspectors prior to and after the implementation of e-Ticketing, and it was found that projects requiring multiple inspectors could reduce their workforce by 25% by implementing e-Ticketing. The study's findings will assist practitioners with an assessment tool to gain insights relating to priority levels in implementing the e-Ticketing technology.
description: Tran-SET Project: 21TSUTA02
DOI: 10.5281/zenodo.7929658
title: Sentiment analysis of media's political bias in micro-blogging - A computational framework for optimized recommendation systems

description: This dataset contains tweets from four Pakistani news channels, namely DAWN, GEO, ARY, and 24News, collected using the twarc command line tool with a Twitter academic researcher account. The tweets were collected between Nov, 2015, and April 4, 2022, and relate to three major political parties in Pakistan, PTI, PMLN, and PPP through their official names in the relevant news channel page tweets.
DOI: 10.5281/zenodo.7929657
title: Sentiment analysis of media's political bias in micro-blogging - A computational framework for optimized recommendation systems

description: This dataset contains tweets from four Pakistani news channels, namely DAWN, GEO, ARY, and 24News, collected using the twarc command line tool with a Twitter academic researcher account. The tweets were collected between Nov, 2015, and April 4, 2022, and relate to three major political parties in Pakistan, PTI, PMLN, and PPP through their official names in the relevant news channel page tweets.
DOI: 10.35078/wf3qrm
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Ferros

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5517/ccdc.csd.cc2dcxj7
title: CCDC 2215989: Experimental Crystal Structure Determination

description: Related Article: Zhen-ya Shao|2022|CSD Communication|||
description: Related Article: Zhen Shao, Wen-Jing Jiang, Liang Zhao, Dan Liu, Yin-Shan Meng, Tao Liu|2023|Inorg.Chem.Commun.|153|110727|doi:10.1016/j.inoche.2023.110727
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.cc2fyfd7
title: CCDC 2262609: Experimental Crystal Structure Determination

description: Related Article: Jinghao Wang|2023|CSD Communication|||
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.7082292
title: Supplementary Material for: A new methodology for an old problem: A corpus-based typology of adnominal word order in European languages

description: Published on IJL
DOI: 10.5281/zenodo.7082291
title: Supplementary Material for: A new methodology for an old problem: A corpus-based typology of adnominal word order in European languages

description: Published on IJL
DOI: 10.5883/ds-cangibelio
title: Using DNA barcoding to identify Prussian carp (Carassius gibelio, Bloch, 1782) in southern Alberta, Canada

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5281/zenodo.7929925
title: Supplementary material for "Using a parallel corpus to study patterns of word order variation: Determiners and quantifiers within the noun phrase in European languages"

description: - output-{ciep,treebanks}-full.csv: frequency and entropy for all the categories, using four types of combinations of layers;<br> - plots.R: R script to draw plots from the output files;<br> - readReport-{CIEP+,treebanks}.R: R script to extract frequency and compute entropy from the report files (not included);<br> - ud-wordorder.py: Python script to extract word order pairs from conllu files and write them in report files. Unfortunately, I cannot include the report files, as CIEP+ is protected by copyright; the analysis can be however replicated with respect to the UD Treebanks.
DOI: 10.5281/zenodo.7929924
title: Supplementary material for "Using a parallel corpus to study patterns of word order variation: Determiners and quantifiers within the noun phrase in European languages"

description: - output-{ciep,treebanks}-full.csv: frequency and entropy for all the categories, using four types of combinations of layers;<br> - plots.R: R script to draw plots from the output files;<br> - readReport-{CIEP+,treebanks}.R: R script to extract frequency and compute entropy from the report files (not included);<br> - ud-wordorder.py: Python script to extract word order pairs from conllu files and write them in report files. Unfortunately, I cannot include the report files, as CIEP+ is protected by copyright; the analysis can be however replicated with respect to the UD Treebanks.
DOI: 10.35078/vmib0c
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Jequerí

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7929964
title: Development of a Machine Learning-Based Model to Determine the Optimum and Safe Restriping Timing of Thermoplastic Pavement Markings in Hot and Humid Climates

description: Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R<sup>2</sup> (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics and to propose cost-effective restriping strategies for thermoplastics used in hot and humid climate service conditions. To achieve this objective, National Transportation Product Evaluation Program (NTPEP) data were mined and analyzed. Results indicated that the service life (SL) of thermoplastics ranged between 0.4 and 12.1 years (according to the initial retroreflectivity, traffic, and surface type) with an average value of 3.4 ± 0.2 years. Four regression models with relatively high accuracy were developed to predict the SL of thermoplastics based on key variables. In addition, the genetic algorithm was used to develop a model that predicts the future retroreflectivty of these pavement markings. The predicted values were compared against actual retroreflectivity measurements collected from a field experiment at Louisiana State University. The results of this study could be used to make effective decisions related to restriping scheduling. Using the proposed models in restriping scheduling can result in considerable cost savings (up to $8,212 per lane-mile), as compared to the conventional restriping strategy.
description: Tran-SET Project: 21BLSU11
DOI: 10.5281/zenodo.7929963
title: Development of a Machine Learning-Based Model to Determine the Optimum and Safe Restriping Timing of Thermoplastic Pavement Markings in Hot and Humid Climates

description: Due to limited budget, most transportation agencies restripe their thermoplastic pavement markings based on a fixed schedule or based on visual inspection instead of monitoring the retroreflectivity and restriping when the retroreflectivity drops below a pre-determined threshold. These strategies are questionable in terms of efficiency and economy. Therefore, previous studies proposed degradation models to predict the retroreflectivity of thermoplastic markings based on key variables. Yet, most of these studies reported low R<sup>2</sup> (as low as 0.1), which placed little confidence in these models. Therefore, the objective of this study was to evaluate and predict the field performance of thermoplastics and to propose cost-effective restriping strategies for thermoplastics used in hot and humid climate service conditions. To achieve this objective, National Transportation Product Evaluation Program (NTPEP) data were mined and analyzed. Results indicated that the service life (SL) of thermoplastics ranged between 0.4 and 12.1 years (according to the initial retroreflectivity, traffic, and surface type) with an average value of 3.4 ± 0.2 years. Four regression models with relatively high accuracy were developed to predict the SL of thermoplastics based on key variables. In addition, the genetic algorithm was used to develop a model that predicts the future retroreflectivty of these pavement markings. The predicted values were compared against actual retroreflectivity measurements collected from a field experiment at Louisiana State University. The results of this study could be used to make effective decisions related to restriping scheduling. Using the proposed models in restriping scheduling can result in considerable cost savings (up to $8,212 per lane-mile), as compared to the conventional restriping strategy.
description: Tran-SET Project: 21BLSU11
DOI: 10.35078/ocojgu
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga| Município: Piranga

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.1594/pangaea.891842
title: Underway physical oceanography and carbon dioxide measurements during Atlantic Cartier cruise 77IH20170701

description: Cruise QC flag: C (see further details).
DOI: 10.1594/pangaea.891843
title: Underway physical oceanography and carbon dioxide measurements during S.A. Agulhas II cruise 91AH20160901

description: Cruise QC flag: D (see further details).
DOI: 10.1594/pangaea.891844
title: Underway physical oceanography and carbon dioxide measurements during S.A. Agulhas II cruise AGULII201707

description: Cruise QC flag: D (see further details).