cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/752sh26n88.1
title: DATA ON EVALUATING THE ATTITUDE, BEHAVIOR, AND RELEVANT FACTORS IN DISPENSING ANTI-BIOTICS WITHOUT PRESCRIPTION AT PHARMACIES: A CROSS-SECTIONAL STUDY IN VIETNAM

description: Objective: To standardize a questionnaire about the attitude and behavior of drug dispensers in dispensing antibiotics without prescription (DAwP), and to evaluate the attitude, behavior and relevant factors in DAwP of pharmacy dispensers (PDs) at community pharmacies (CPs) in Can Tho city, Viet Nam in 2022.
Methods:  The descriptive transversal study was a quantitative analysis of survey data, including a self-administered questionnaire based on the “Theory of Planned Behavior”.  The questionnaire is composed of 33 statements scored on the 5-point Likert scale, which was completed by interview with 180 PDs to Can Tho.
Results: Of the 80 participants, 65% of drug dispensers were female (n= 117), 59.4% graduated from medical university graduates (n= 107), and 80.6% had less than 10 years of experience (n=145). Pharmacies are the first destination that patients think about when they have health concerns. Unfortunately, it is not in compliance with the regulations governing the sale of antibiotics in case where clients ask for without a valid prescription. In the study, the authors found that Perceived Behavioral Control factors (PBC) were found to be the most critical determinants of the coefficient std. error by about 0.581. The Subjective standard is the second-most significant factor with the coefficient std. error around -0.395 in contrast, Attitudinal factors present no impact on intention to DAwP.
Conclusions: The provision of non-prescription is primarily influenced by the perception of the distributors and external factors. It is necessary to develop interventions to make community aware of misuse and misunderstanding of antibiotics.
Keywords: pharmacy dispensers, dispensing antibiotics without prescription, community pharmacies.
WHAT WE ALREADY KNOW
•	When a patient in Vietnam has a health problem, community pharmacies/drugstores come to mind first. Sadly, it is illegal for a PDs to DAwP to a patient who is seeking treatment.
•	The overuse of antibiotics in the community is spreading widely in our country, resulting in the antimicrobial resistance (AMR) which is an urgent issue and affects on the future of healthcare industry.
WHAT THIS ARTICLE ADDS 
•	This is one of the few research that evaluates the factors that influence to DAwP of Vietnamese pharmacists. To identify and clarify the attitudes and behavior that contribute to DAwP, a wide range of possibly connected elements are taken into account. 
•	The results of the present study having been obtained some effective solutions in changing the habits of PDs.
•	The findings of our study form the basis for future similar investigations.
DOI: 10.3886/e149262
title: Data and Code for "Student Performance, Peer Effects, and Friend Networks: Evidence from a Randomized Peer Intervention"

description: The data are from our own experiment. Collaborating with Lonoghui Educational Bureau, two rounds of surveys and three rounds of examinations were conducted. The baseline tests on Chinese and mathematics were conducted in June 2015. The midterm and final exams were conducted in November 2015 and February 2016, respectively. The baseline survey was conducted in September 2015, which was the beginning of a new semester. A follow-up survey with similar questions was conducted in February 2016 after the final exam. The non-cognitive skills of students were measured as well. The initial sample size is 2034, and the follow-up rate is 88.6%
description: Response Rates: 100%
description: Among the students registered in the 36 classes, 2,034 students with baseline scores were collected.
description: Economics of education. Smallest Geographic Unit: county (Longhui)
description: cognitive assessment test; paper and pencil interview (PAPI);
DOI: 10.3886/e149262v2
title: Data and Code for "Student Performance, Peer Effects, and Friend Networks: Evidence from a Randomized Peer Intervention"

description: The data are from our own experiment. Collaborating with Lonoghui Educational Bureau, two rounds of surveys and three rounds of examinations were conducted. The baseline tests on Chinese and mathematics were conducted in June 2015. The midterm and final exams were conducted in November 2015 and February 2016, respectively. The baseline survey was conducted in September 2015, which was the beginning of a new semester. A follow-up survey with similar questions was conducted in February 2016 after the final exam. The non-cognitive skills of students were measured as well. The initial sample size is 2034, and the follow-up rate is 88.6%
description: Response Rates: 100%
description: Among the students registered in the 36 classes, 2,034 students with baseline scores were collected.
description: Economics of education. Smallest Geographic Unit: county (Longhui)
description: cognitive assessment test; paper and pencil interview (PAPI);
DOI: 10.6084/m9.figshare.21957110.v1
title: Table S1

description: Nobel laureates from 2010-2020 in four categories used in this study
DOI: 10.6084/m9.figshare.21957110
title: Table S1

description: Nobel laureates from 2010-2020 in four categories used in this study
DOI: 10.25919/sfme-8835
title: Parkes observations for project P574 semester 2022OCTS_06

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on over 95 papers arising from the collaboration and P574 data, including four which use UWL observations. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.6084/m9.figshare.21957014.v1
title: Table S2

description: Sample population used in this study
DOI: 10.6084/m9.figshare.21957014
title: Table S2

description: Sample population used in this study
DOI: 10.25919/k4za-yq58
title: Parkes observations for project P1041 semester 2022OCTS_03

description: We propose to carry out a long-term timing campaign of millisecond pulsars (MSPs) discovered in the Globular Cluster Omega Centauri. So far, we have discovered seven MSPs and obtained coherent timing solutions for five of them. Monthly observations with the Parkes Ultra-Wideband Low (UWL) receiver system are requested to time known pulsars and search for new pulsars. Long-term timing and polarisation observations of these MSPs will provide us a new way to (1) study the dynamics of the core and constrain the existence of any intermediate-mass black holes; (2) reveal the origin of Gamma-ray emission from the core and put stringent constraints on dark matter parameters; (3) study Galactic ionised medium and magnetic fields on parsec scales.
DOI: 10.6084/m9.figshare.21964709
title: A wetter East Asia during the early Pliocene indicated by calcite nodules from the Chinese Loess Plateau

description: The dataset contains stable carbon and oxygen isotopic compositions, as well as trace elemental concentrations of calcite nodules collected from a Pliocene Red Clay sequence (Lantian) located on the southern edge of the Chinese Loess Plateau.
DOI: 10.6084/m9.figshare.21964538.v1
title: Summary AET data used for figures and tables in "Robust projections and consequences of an expanding bimodal growing season in the western United States" Ecosphere 2023

description: These are Geotiff files, for use in a GIS environment. Abstract of the paper: Plant growth is restricted to times of the year when Actual Evapotranspiration (AET) is greater than zero because AET requires both the presence of water in the soil and temperatures warm enough to allow transpiration. Locations where water rather than temperature limits plant growth, such as semi-arid areas of the southwestern United States, often have a bimodal growing season, such that distinct AET (growth) peaks occur in the spring and late summer, with a period of very limited plant growth occurring during the intervening summer months. We hypothesized that future warming will increase the zone containing bimodal growth seasons, likely resulting in significant changes in the competitive relationships between plant species that differ in their tolerance of a bimodal seasonality. This will likely alter plant distributions. Using climate projections to drive a water balance model, we mapped geographic regions within the Continental United States projected to experience bimodal growing seasons in the future. The area containing bimodal seasonality increased under all 13 General Circulation Models and two Representative Concentration Pathways examined. This robust result (seen in all alternative futures examined) nevertheless showed considerable variability depending on the GCM examined. The bimodal zone was projected to increase 13% - 212% (49,000 KM^2 – 792,000 KM^2) by late 21st Century relative to 1981 – 2010 estimates by the GCMs. Climate futures that contained the greatest temperature increases and greatest precipitation decreases projected the greatest expansion in the bimodal zone. For plant species that depend on relatively long, consistent time periods that are favorable to growth each year, the projected shift in seasonality may be an acute disturbance that could cause widespread mortality. These changes will likely have cascading ecological and management implications, including changes in the dominant plant life history strategies that occur in affected areas. <br> <br>
DOI: 10.6084/m9.figshare.21964538
title: Summary AET data used for figures and tables in "Robust projections and consequences of an expanding bimodal growing season in the western United States" Ecosphere 2023

description: These are Geotiff files, for use in a GIS environment. Abstract of the paper: Plant growth is restricted to times of the year when Actual Evapotranspiration (AET) is greater than zero because AET requires both the presence of water in the soil and temperatures warm enough to allow transpiration. Locations where water rather than temperature limits plant growth, such as semi-arid areas of the southwestern United States, often have a bimodal growing season, such that distinct AET (growth) peaks occur in the spring and late summer, with a period of very limited plant growth occurring during the intervening summer months. We hypothesized that future warming will increase the zone containing bimodal growth seasons, likely resulting in significant changes in the competitive relationships between plant species that differ in their tolerance of a bimodal seasonality. This will likely alter plant distributions. Using climate projections to drive a water balance model, we mapped geographic regions within the Continental United States projected to experience bimodal growing seasons in the future. The area containing bimodal seasonality increased under all 13 General Circulation Models and two Representative Concentration Pathways examined. This robust result (seen in all alternative futures examined) nevertheless showed considerable variability depending on the GCM examined. The bimodal zone was projected to increase 13% - 212% (49,000 KM^2 – 792,000 KM^2) by late 21st Century relative to 1981 – 2010 estimates by the GCMs. Climate futures that contained the greatest temperature increases and greatest precipitation decreases projected the greatest expansion in the bimodal zone. For plant species that depend on relatively long, consistent time periods that are favorable to growth each year, the projected shift in seasonality may be an acute disturbance that could cause widespread mortality. These changes will likely have cascading ecological and management implications, including changes in the dominant plant life history strategies that occur in affected areas. <br> <br>
DOI: 10.20387/bonares-y3je-zz30
title: Tree-Distance and Tree-Species Effects on Soil Biota in a Temperate Agroforestry System

description: Cropland agroforestry systems are sustainable land-use systems with numerous environmental advantages over monoculture croplands including promotion of soil life. This study aimed to investigate tree-species and tree-distance effects on soil biota in a temperate agroforestry system. Our study was conducted at a paired alley-cropping and monoculture cropland system. The tree rows of the agroforestry system comprised of blocks of poplar Jacometti 78B, poplar Max 1 or black locust. Within the agroforestry system, soil microbial and earthworm communities were collected along transects spanning from the center of the tree rows into the crop rows. Archaea, bacteria, and fungi were quantified using real-time PCR. The community composition of fungi and earthworms was deciphered using amplicon sequencing and morphological identification, respectively.

Research domain: Soil Sciences

Research question: This study aimed to investigate the impact of three different tree species (two poplar species and black locust) on soil biota (archaea, bacteria, fungi, and earthworms) in a temperate alley-cropping agroforestry system. Furthermore, tree-distance effects on soil biota were tested by sampling multiple locations along transects spanning from the tree row into the crop row of the agroforestry system. We hypothesized that tree rows promote the abundance and alter the community composition of soil biota. We further hypothesized that these changes are dependent on the distance to the trees (tree-distance effect) as well as the tree species (tree-species effect).
DOI: 10.5517/ccdc.csd.cc2c6480
title: CCDC 2180641: Experimental Crystal Structure Determination

description: Related Article: Peng Tao, Zhuang Lv, Fang-Qing Zhao, Xiao-Kang Zheng, He Jiang, Wentao Li, Yongjing Deng, Shujuan Liu, Guohua Xie, Wai-Yeung Wong, Qiang Zhao|2023|Inorg.Chem.|62|1202|doi:10.1021/acs.inorgchem.2c03597
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.cc2dpjg3
title: CCDC 2225225: Experimental Crystal Structure Determination

description: Related Article: Zhi-Zhou Pan, Deng Pan, Jia-Heng Li, Xiao-Song Xue, Liang Yin|2023|J.Am.Chem.Soc.|145|1749|doi:10.1021/jacs.2c10688
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.cc2cjlq7
title: CCDC 2190699: Experimental Crystal Structure Determination

description: Related Article: Jake H. Schwab, Jake B. Bailey, Milan Gembicky, Julia M. Stauber|2023|Chemical Science|14|1018|doi:10.1039/D2SC05689E
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.cc2cm2y1
title: CCDC 2193093: Experimental Crystal Structure Determination

description: Related Article: Kristof Pota, Hannah M. Johnston, Enikő Madarasi, Gyula Tircsó, Kayla N. Green|2023|J.Inorg.Biochem.|241|112124|doi:10.1016/j.jinorgbio.2023.112124
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.cc2cm2sw
title: CCDC 2193088: Experimental Crystal Structure Determination

description: Related Article: Kristof Pota, Hannah M. Johnston, Enikő Madarasi, Gyula Tircsó, Kayla N. Green|2023|J.Inorg.Biochem.|241|112124|doi:10.1016/j.jinorgbio.2023.112124
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.cc2cm304
title: CCDC 2193095: Experimental Crystal Structure Determination

description: Related Article: Kristof Pota, Hannah M. Johnston, Enikő Madarasi, Gyula Tircsó, Kayla N. Green|2023|J.Inorg.Biochem.|241|112124|doi:10.1016/j.jinorgbio.2023.112124
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.7570421
title: Summary ouput data - Wasteaware Cities Benchmark Indicators - WABI 2023 - Global data analytics - Machine learning vs. Non-linear Regression

description: This is the output dataset for the research publication "<em>Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning</em>". It features Metadata info used by R codes Summary of results for two modelling approaches (machine learning: Conditional random-forest and non-linear regression) The independent variables dataset analysed here refer to specific indicators of the WABI methodology (https://www.sciencedirect.com/science/article/pii/S0956053X14004905) that generates solid waste management and resource recovery profiles for cities. It was applied here for 40 cities around the world. The data input are available here: 10.5281/zenodo.7570174
description: We are grateful to UN-Habitat for funding the work on the initial version of the indicators, including 20 city profiles, and GIZ through their 'Operator Models' project which funded an intermediate version of the indicators and a further 5 city profiles. We acknowledge all the profilers of the individual cities – many are named in Table S2, and others in reference (Scheinberg et al. 2010). We thank past MSc students under the authors' supervision for offering preliminary partial data clearing and commentary: Henry Hickman (MSc dissertation at University of Leeds, supervised by C.A.V and D.C.W.) and Margaux Fargier (Final year MEng dissertation at Imperial College London, supervised by S.M.G, D.C.W and C.A.V.). We are grateful to Dr Josh Cottom and Mr Ed Cook at the University of Leeds for input on the GDP version selection. We acknowledge the support of Dr Ljiljana Rodic for contributing in data quality control.
DOI: 10.5281/zenodo.7570420
title: Summary ouput data - Wasteaware Cities Benchmark Indicators - WABI 2023 - Global data analytics - Machine learning vs. Non-linear Regression

description: This is the output dataset for the research publication "<em>Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning</em>". It features Metadata info used by R codes Summary of results for two modelling approaches (machine learning: Conditional random-forest and non-linear regression) The independent variables dataset analysed here refer to specific indicators of the WABI methodology (https://www.sciencedirect.com/science/article/pii/S0956053X14004905) that generates solid waste management and resource recovery profiles for cities. It was applied here for 40 cities around the world. The data input are available here: 10.5281/zenodo.7570174
description: We are grateful to UN-Habitat for funding the work on the initial version of the indicators, including 20 city profiles, and GIZ through their 'Operator Models' project which funded an intermediate version of the indicators and a further 5 city profiles. We acknowledge all the profilers of the individual cities – many are named in Table S2, and others in reference (Scheinberg et al. 2010). We thank past MSc students under the authors' supervision for offering preliminary partial data clearing and commentary: Henry Hickman (MSc dissertation at University of Leeds, supervised by C.A.V and D.C.W.) and Margaux Fargier (Final year MEng dissertation at Imperial College London, supervised by S.M.G, D.C.W and C.A.V.). We are grateful to Dr Josh Cottom and Mr Ed Cook at the University of Leeds for input on the GDP version selection. We acknowledge the support of Dr Ljiljana Rodic for contributing in data quality control.
DOI: 10.5281/zenodo.7570174
title: Input data - Wasteaware Cities Benchmark Indicators - WABI 2023 - Global data analytics

description: This is the input dataset for the research publication "<em>Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning</em>". It features Metadata info used by R codes Full data set for the WABI, used by the R codes Data required for plotting the map in Figure 1 The independent variables data set refers to specific indicators of the WABI methodology (https://www.sciencedirect.com/science/article/pii/S0956053X14004905) which generates solid waste management and resource recovery profiles for cities. It is applied here for 40 cities around the world. The data set contains also values for a series of explanatory variables, which are measures of the level of socioeconomic development at country level.
description: We are grateful to UN-Habitat for funding the work on the initial version of the indicators, including 20 city profiles, and GIZ through their 'Operator Models' project which funded an intermediate version of the indicators and a further 5 city profiles. We acknowledge all the profilers of the individual cities – many are named in Table S2, and others in reference (Scheinberg et al. 2010). We thank past MSc students under the authors' supervision for offering preliminary partial data clearing and commentary: Henry Hickman (MSc dissertation at University of Leeds, supervised by C.A.V and D.C.W.) and Margaux Fargier (Final year MEng dissertation at Imperial College London, supervised by S.M.G, D.C.W and C.A.V.). We are grateful to Dr Josh Cottom and Mr Ed Cook at the University of Leeds for input on the GDP version selection. We acknowledge the support of Dr Ljiljana Rodic for contributing in data quality control.