cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/26py5zz9f8.1
title: OSSCAR, an open platform for collaborative development of computational tools for education in science

description: In this paper we present the Open Software Services for Classrooms and Research (OSSCAR) platform. OSSCAR provides an open collaborative environment to develop and access educational resources in the form of web applications, for which various deployment methods are discussed and compared. To minimize efforts in the creation and use of new educational material, OSSCAR combines software tools that have emerged as standards with custom domain-specific ones. The technical solutions adopted to create and distribute content are described and motivated on the basis of reliability, sustainability, ease of uptake and use. Examples from courses in the domains of physics, chemistry, and materials science are shown to demonstrate the style and level of interactivity of typical applications. The tools presented are easy to use, and create a uniform and open environment exploitable by a large community of teachers, students, and researchers with the goal of facilitating learning and avoiding, when possible, duplication of efforts in creating teaching material. Contributions to expand the educational content of the OSSCAR project are welcome.
DOI: 10.5281/zenodo.7182710
title: pyrocystis_lunula_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7182709
title: pyrocystis_lunula_zanfona_1.fasta.gz

description: .
DOI: 10.17632/cshfdfwscj.1
title: Factors of technological sovereignty and innovative activity of agricultural enterprises in ensuring food security in Russia

description: The dataset highlights the factors of technological sovereignty and innovative activity of agricultural enterprises that affect the food security of Russia.
The sample includes 95 structural units (observations) allocated by Rosstat when compiling statistics on the regional economy of Russia (including regions, largest cities and federal districts). The dataset also includes all-Russian statistics. Data are for 2020.
Data source: Rosstat (2022). Regions of Russia. Socio-economic indicators - 2021. URL: https://rosstat.gov.ru/folder/210/document/13204
A set of indicators included in the dataset:
-Index of agricultural production, % to the previous year;
-Number of personnel involved in R&D, pers.;
-Number of advanced production technologies used, pcs.;
-Number of developed advanced production technologies, pcs.;
-Share of innovation-active organizations, %;
-Share of innovative goods, works, services, %;
-Costs for innovative activities of organizations, % of the volume of shipped goods, work performed, services.
The dataset is compiled in two versions: English and Russian (Русская версия).
DOI: 10.17632/cshfdfwscj.2
title: Factors of technological sovereignty and innovative activity of agricultural enterprises in ensuring food security in Russia

description: The dataset highlights the factors of technological sovereignty and innovative activity of agricultural enterprises that affect the food security of Russia.
The sample includes 95 structural units (observations) allocated by Rosstat when compiling statistics on the regional economy of Russia (including regions, largest cities and federal districts). The dataset also includes all-Russian statistics. Data are for 2020 (end of the year).
Data source: Rosstat (2022). Regions of Russia. Socio-economic indicators - 2021. URL: https://rosstat.gov.ru/folder/210/document/13204
A set of indicators included in the dataset:
-Index of agricultural production, % to the previous year;
-Number of personnel involved in R&D, pers.;
-Number of advanced production technologies used, pcs.;
-Number of developed advanced production technologies, pcs.;
-Share of innovation-active organizations, %;
-Share of innovative goods, works, services, %;
-Costs for innovative activities of organizations, % of the volume of shipped goods, work performed, services.
The dataset is compiled in two versions: English and Russian (Русская версия).
DOI: 10.6084/m9.figshare.20993052
title: Solution of World Robot Challenge 2020 Partner Robot Challenge (Real Space)

description: The World Robot Challenge is an international competition for the social implementation of robots. Among them, the Partner Robot Challenge (Real Space) is a category that focuses on domestic service robots, competing to achieve simple tasks such as tidying a room, avoiding small obstacles, grasping a specified object from the shelf, and delivering an object to a waving person. In this category, we focused on the theme of ‘Keep Moving’ and worked on researching and developing technologies for object recognition, grasping, and other tasks. For object recognition, we propose an automatic dataset generator using a physics simulator and generate about 490,000 images in two hours. We trained it with an instance segmentation model, achieving an accuracy of about 79.3% in all games. For object grasping, we installed a three-dimensional sensor on the robot hand, and achieved successful grasping with high accuracy of about 79.6% (88.9% excluding failures due to hardware problems) in all games. In addition, we propose a motion synthesis method that simultaneously performs movement and posture transition to achieve high-speed motion. When navigation is executed, the robot changes to the navigation posture while aiming for the goal. Before reaching the goal, it changes the posture for the following action. As a result, we realized a speedup of about 1.32 times in the pick-and-place task. In the tidy-up task, the robot could clear an average of 14 objects and a maximum of 16 objects in 15 minutes. In the obstacle avoidance task, the robot succeeded five times out of six games, and in the delivery task, it succeeded four times out of six games. Throughout all the tasks, we scored 800 points twice, the highest score in the world, and won the championship. This research is aimed at the practical application of domestic service robots. We believe that the results presented in this paper demonstrate the practicality of domestic service robots in a well-developed environment. The video of the finals is available at https://youtu.be/ElUb8bfSC34?t=5511 (right side). The our source code using the simulator is available at https://github.com/Hibikino-Musashi-Home/hma_wrs_sim_ws.
DOI: 10.6084/m9.figshare.20993052.v1
title: Solution of World Robot Challenge 2020 Partner Robot Challenge (Real Space)

description: The World Robot Challenge is an international competition for the social implementation of robots. Among them, the Partner Robot Challenge (Real Space) is a category that focuses on domestic service robots, competing to achieve simple tasks such as tidying a room, avoiding small obstacles, grasping a specified object from the shelf, and delivering an object to a waving person. In this category, we focused on the theme of ‘Keep Moving’ and worked on researching and developing technologies for object recognition, grasping, and other tasks. For object recognition, we propose an automatic dataset generator using a physics simulator and generate about 490,000 images in two hours. We trained it with an instance segmentation model, achieving an accuracy of about 79.3% in all games. For object grasping, we installed a three-dimensional sensor on the robot hand, and achieved successful grasping with high accuracy of about 79.6% (88.9% excluding failures due to hardware problems) in all games. In addition, we propose a motion synthesis method that simultaneously performs movement and posture transition to achieve high-speed motion. When navigation is executed, the robot changes to the navigation posture while aiming for the goal. Before reaching the goal, it changes the posture for the following action. As a result, we realized a speedup of about 1.32 times in the pick-and-place task. In the tidy-up task, the robot could clear an average of 14 objects and a maximum of 16 objects in 15 minutes. In the obstacle avoidance task, the robot succeeded five times out of six games, and in the delivery task, it succeeded four times out of six games. Throughout all the tasks, we scored 800 points twice, the highest score in the world, and won the championship. This research is aimed at the practical application of domestic service robots. We believe that the results presented in this paper demonstrate the practicality of domestic service robots in a well-developed environment. The video of the finals is available at https://youtu.be/ElUb8bfSC34?t=5511 (right side). The our source code using the simulator is available at https://github.com/Hibikino-Musashi-Home/hma_wrs_sim_ws.
DOI: 10.17632/dmzrf779st.1
title: Observed Lichen Genera and measured Air Quality Parameters across four major cities in Nigeria

description: Data were gathered from field-recorded measurements. The following parameters were collected
I.	Coordinates of Observation
II.	Altitude
III.	Lichen Genus Identified
IV.	Ambient Concentration of  -	PM2.5, PM10, NO2, SO2 (microgram/cubic metre)
The following were computed variables from the field data
I.	Relative Air Quality Guidance Level for each air quality parameter
II.	Air Quality Index for each parameter
III.	Combined Air Quality Index  
The computed values were based on WHO Air Quality Guidelines (https://www.who.int/news-room/feature-stories/detail/what-are-the-who-air-quality-guidelines). Thus, 15, 45, 25 and 40 microgram/cubic metre were the standard levels for PM2.5, PM10, No2 and SO2 respectively. The data provides opportunities to train machine learning models to identify associations between lichen genera and air quality parameters. Thereby, supporting air quality monitoring in data-sparse regions.
DOI: 10.17632/8rkgh823ch.1
title: Data for Two Pandemics Covid and AMR.dta

description: This data is a STATA data set (.dta). 
Based on 117 responses to a web survey in 29 European countries and interviews with bureaucrats in managerial positions, this paper investigates how people working professionally with antimicrobial resistance (AMR) assess the impact of the COVID-19 pandemic on their future long-run cooperation in the struggle against AMR, both within their own country and among the European countries. We measure whether the severity level of the AMR problem, cumulative COVID-19 death rates, and the daily number of confirmed new COVID-19 cases in their own countries have affected bureaucrats´ beliefs about long-run AMR collaboration.  We find that around 40 percent of the bureaucrats believe that the cooperation will increase domestically and at the European level. However, there are considerable differences across regions: Eastern European bureaucrats are clearly the most pessimistic about future cooperation, while the Southern European and Nordic bureaucrats are the most optimistic. Neither the severity of the AMR problem nor the number of confirmed new COVID-19 cases in their own countries has a significant impact on bureaucrats´ beliefs about future collaboration.
DOI: 10.17632/5827w464y5.1
title: Data Analysis on Online Training Participation Readiness For Automotive Industrial Employees in Indonesia Context

description: Questionnaires were given to 89 employees of the automotive after sales industry in Indonesia from various positions. The data were analyzed to determine the level and characteristics of employees' readiness in online training.
DOI: 10.17632/v4dby8sfbj.1
title: STANDARD M10 Evaluation vs NeuMoDx

description: Comparative evaluation of the STANDARD M10 point-of-care analyzer versus the NeuMoDx assay for the molecular diagnosis of SARS-CoV-2
DOI: 10.17632/v4dby8sfbj.2
title: STANDARD M10 Evaluation vs NeuMoDx

description: Comparative evaluation of the STANDARD M10 point-of-care analyzer versus the NeuMoDx assay for the molecular diagnosis of SARS-CoV-2
DOI: 10.17632/dh4gcm7ckb.2
title: Synthetic populations of South African urban areas

description: The data accompanying this article include the compressed, Extensible Markup Language (XML) files of the synthetic populations for the nine areas of importance in South Africa. The provided populations are controlled at the household level using (household) income, and at individual levels using gender and population group. The result provides a complete stock of individuals while accounting for detailed demographic, socioeconomic information, and household structure. The detailed XML Schema Definition (XSD) and XML Document Type Definition (DTD), which contains the declarations that describes the formal acceptable structure of the XML file, is available on http://www.matsim.org/files/dtd/. More specifically, there is one XSD definition for the household file, `households_v1.0.xsd`, and one DTD file for the individuals, `population_v6.dtd`. The files are normal XML and readable using many parsers. Our choice to use the Multi-Agent Transport Simulation (MATSim) infrastructure is because the populations are, in our context, frequently used for large-scale mesoscopic transport models using the agent-based MATSim. This version has a number of updates. Firstly, the populations increased in size to reflect the 2019 population, based on the Statistics South Africa mid-year population estimates. Secondly, we add three household attributes taken from census data, namely the household's access to a working car (`carAccess`), access to piped water (`pipedWater`) and the type of ablution facility accessible to the household (`toilet`). The first attribute is useful for later estimation of travel behaviour, while the latter two attributes were introduced as a proxy for housing quality in land use transport interaction (LUTI) models. Thirdly, we added a single person-specific attribute: the individual's income (`personIncome`).
DOI: 10.17632/dh4gcm7ckb.3
title: Synthetic populations of South African urban areas

description: The data accompanying this article include the compressed, Extensible Markup Language (XML) files of the synthetic populations for the nine areas of importance in South Africa. The provided populations are controlled at the household level using (household) income, and at individual levels using gender and population group. The result provides a complete stock of individuals while accounting for detailed demographic, socioeconomic information, and household structure.

The detailed XML Schema Definition (XSD) and XML Document Type Definition (DTD), which contains the declarations that describes the formal acceptable structure of the XML file, is available on http://www.matsim.org/files/dtd/. More specifically, there is one XSD definition for the household file, `households_v1.0.xsd`, and one DTD file for the individuals, `population_v6.dtd`. The files are normal XML and readable using many parsers. Our choice to use the Multi-Agent Transport Simulation (MATSim) infrastructure is because the populations are, in our context, frequently used for large-scale mesoscopic transport models using the agent-based MATSim.

In this version, the populations increased in size to reflect the 2020 population, based on the Statistics South Africa mid-year population estimates. The same extended attributes for both households and persons from v2 applies.
DOI: 10.17632/dh4gcm7ckb.1
title: Synthetic populations of South African urban areas

description: The data accompanying this article include the compressed, Extensible Markup Language (XML) files of the synthetic populations for the nine areas of importance in South Africa. The provided populations are controlled at the household level using (household) income, and at individual levels using gender and population group. The result provides a complete stock of individuals while accounting for detailed demographic, socioeconomic information, and household structure. The detailed XML Schema Definition (XSD) and XML Document Type Definition (DTD), which contains the declarations that describes the formal acceptable structure of the XML file, is available on http://www.matsim.org/files/dtd/. More specifically, there is one XSD definition for the household file, households_v1.0.xsd, and one DTD file for the individuals, population_v6.dtd. The files are normal XML and readable using many parsers. Our choice to use the Multi-Agent Transport Simulation (MATSim) infrastructure is because the populations are, in our context, frequently used for large-scale mesoscopic transport models using the agent-based MATSim.
DOI: 10.17632/rpzs6fcdhz.1
title: Raw data for STX18-AS1

description: Raw data of genotyping and expression quantification of STX18-AS1 in human atrial appendage samples for eQTL analyses.
DOI: 10.17632/fkp54gjw9z.1
title: LINF_330009500

description: heat shock protein 83 | HSP83 | HSP90
Leishmania infantum (strain JPCM5)
DOI: 10.17632/c9cmw6mjxs.1
title: LINF_330009800

description: heat shock protein 83 | HSP83 | HSP90
Leishmania infantum (strain JPCM5)
DOI: 10.17632/sp2cgvd9sg.1
title: db_Alcool

description: These data were used for the analysis and drafting of the study entitled: Prevalence and determinants of alcohol consumption among adults living in the Moungali district of Brazzaville: a cross-sectional population survey. These are data on 722 adult individuals.
DOI: 10.17632/mh33cc7c86.1
title: LINF_330009900

description: heat shock protein 83 | HSP83 | HSP90
Leishmania infantum (strain JPCM5)
DOI: 10.17632/txmjcgjc9g.1
title: LINF_330010200

description: LeishIF4E-1 interacting protein | Leish4E-IP2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/48fvb4k24y.1
title: LINF_330010000

description: heat shock protein 83 | HSP83 | HSP90
Leishmania infantum (strain JPCM5)
DOI: 10.17632/2hrc6jpy9t.1
title: Residual efficacy of the neonicotinoid insecticide Clothianidin against pyrethroid-resistant Aedes aegypti 

description: Data for the paper: Residual efficacy of the neonicotinoid insecticide Clothianidin against pyrethroid-resistant Aedes aegypti 

BACKGROUND. Here we report the residual efficacy of the neonicotinoid insecticide Clothianidin against pyrethroid-resistant Aedes aegypti. We first conducted a range-finding evaluation of Clothianidin on three different substrates (wall, wood, cloth) using three doses (100, 300 and 600 mg a.i./m2) and conducting WHO cone bioassays to assess acute (24h) and delayed (up to 7 days) mortality. In experimental houses located in Merida (Mexico) and using free-flying pyrethroid-resistant Ae. aegypti females, we then quantified the acute and delayed mortality after a 24-hour exposure to the targeted indoor residual spraying (TIRS) of two Clothianidin doses (100 and 300 mg a.i./m2).
RESULTS. Range-finding studies with WHO cones showed low (<50%) acute mortality for all surfaces, doses and times post spraying. Delayed mortality was higher, with average values above or close the 60% mark (and 95% CI estimates crossing 80% for the 600 mg a.i./m2 dose). In experimental houses, a similar low acute mortality was quantified (range of mortality across 12 months, 2-44% for 100 mg a.i./m2 and 8-61% for 300 mg a.i/m2). However, delayed mortality showed a strong effect of Clothianidin on free-flying Ae. aegypti, with values above 80% up to 7 months post-TIRS. 
CONCLUSION. Novel residual insecticide molecules have a promising outlook for Ae. aegypti control and can contribute to the expansion and adoption of TIRS in urban areas. Clothianidin can contribute to the control of resistant Ae. aegypti and provide residual control for up to 7 months after application

THe file "Figures" contains all the data to recreate the figures from WHO cone bioassays on treated surfaces.
The file "Data" contains all the data to recreate the figures and analysis from the Experimental houses.
DOI: 10.17632/z32m93r2t3.1
title: Supplementary Data Set PLS output Media and Smog

description: This data set belongs to a manuscript, "Breathing in Smokescreen: Questioning Tradeoff between Mass Media, Personality Traits and Norms in Instilling Protective Behavior against Air pollutants." This is a PLS results output.
DOI: 10.21227/x9f4-8r14
title: Dental Tissue Absorption Spectroscopy

description: Oral health problems are closely associated with the analysis of dental tissue changes and the stomatologic treatment that follows. The associated paper explores the use of diffuse reflectance spectroscopy in the detection of dental tissue disorders. The data set includes 78 out of 343 measurements of teeth spectra in the wavelength range from 400 to 1700 nm. The proposed methodology focuses on computational and statistical methods and the use of these methods for the classification of dental tissue into two classes (healthy and unhealthy) by estimating the probability of class membership. Signal processing is based on the difference between the healthy and unhealthy teeth reflectance spectra in the infrared and visible ranges. Selected features associated with observed spectra are then used for machine learning classification based on the experience of an expert in stomatology during the learning stage. The dataset includes the graphical user interface for the use of absorption spectroscopy data in the evaluation of tissue quality changes.
DOI: 10.5281/zenodo.7182718
title: Peptide flip coordinates for qFit 2 paper

description: Peptide flip coordinates for qFit 2 paper (https://doi.org/10.1371/journal.pcbi.1004507)
DOI: 10.5281/zenodo.7182717
title: Peptide flip coordinates for qFit 2 paper

description: Peptide flip coordinates for qFit 2 paper (https://doi.org/10.1371/journal.pcbi.1004507)
DOI: 10.5281/zenodo.7182724
title: Machine-learning convection model output file for use in convection pattern estimation.

description: Output file from the model described in: Bristow, W. A., Topliff, C. A., & Cohen, M. B. (2022). Development of a high-latitude convection model by application of machine learning to SuperDARN observations. <em>Space Weather</em>, 20, e2021SW002920. https://doi.org/10.1029/2021SW002920 The file provides model convection patterns for the period 0000 UT to 2359 UT on 26 March 2014
DOI: 10.5281/zenodo.7182723
title: Machine-learning convection model output file for use in convection pattern estimation.

description: Output file from the model described in: Bristow, W. A., Topliff, C. A., & Cohen, M. B. (2022). Development of a high-latitude convection model by application of machine learning to SuperDARN observations. <em>Space Weather</em>, 20, e2021SW002920. https://doi.org/10.1029/2021SW002920 The file provides model convection patterns for the period 0000 UT to 2359 UT on 26 March 2014
DOI: 10.17632/kz29z9n3jc.1
title: Bryson_MOLECULAR-CELL-D-22-00555_Figure_2C

description: A giant virus genome is densely packaged by stable nucleosomes within virions.
The two doublet histones of Marseillevirus are distantly related to the four eukaryotic core histones and wrap 121 basepairs of DNA to form remarkably similar nucleosomes. By permeabilizing Marseillevirus virions and performing genome-wide nuclease digestion, chemical cleavage and mass spectrometry assays, we find that the higher-order organization of Marseillevirus chromatin fundamentally differs from that of eukaryotes. Marseillevirus nucleosomes fully protect DNA within virions as closely abutted 121-bp DNA wrapped cores without linker DNA or phasing along genes. Likewise, we observed that nucleosomes reconstituted onto multi-copy tandem repeats of a nucleosome positioning sequence are tightly packed. Dense promiscuous packing of fully wrapped nucleosomes rather than “beads-on-a-string” with genic punctuation represents a new mode of DNA packaging by histones. We suggest that doublet histones have evolved for viral genome protection and may resemble an early stage of histone differentiation leading to the eukaryotic octameric nucleosome.
Variant assembly analyses of viral chromatin. Tapestation gel profiles of nucleosome assembly reactions containing Hz-He andHδ-Hγ tetramers and a 3-copy Widom 601 array with 40-bp linkers at histone:DNA ratios in lanes labeled: 0.25, 0.5, 1, 1.5, 2 and 2.5 after 5 min MNase treatment and DNA purification. Hz-He,Hδ-Hγ  and Xenopus laevis (X.l.) assemblies are shown as controls.