cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d7ft5vdwhr.1
title: Preventive residual insecticide applications successfully controlled Aedes aegypti in Yucatan, Mexico

description: Background
Insecticide-based approaches remain a key pillar for Aedes-borne virus (ABV, dengue, chikungunya, Zika) control, yet they are challenged by the limited effect of traditional outdoor insecticide campaigns responding to reported arboviral cases and by the emergence of insecticide resistance in mosquitoes. 

Methods
A three-arm Phase II unblinded entomological cluster randomized trial was conducted in Merida, Yucatan State, Mexico, to quantify the entomological impact of targeted indoor residual spraying (TIRS, application of residual insecticides in Ae. aegypti indoor resting sites) applied preventively two months before the beginning of the arbovirus transmission season. Trial arms involved the use of two insecticides with unrelated modes of action (Actellic 300CS, pirimiphos-methyl, and SumiShield 50WG, clothianidin) and a control arm where TIRS was not applied. Entomological impact was quantified by Prokopack adult collections performed indoors during 10 minutes per house. 

Findings
Regardless of the insecticide, conducting a preventive TIRS application led to significant reductions in indoor Ae. aegypti densities, which were maintained at the same levels as in the low arbovirus transmission period (Actellic 300CS reduced Ae. aegypti density up to 8 months, whereas SumiShield 50WG up to 6 months). The proportional reduction in Ae. aegypti abundance in treatment houses compared to control houses was 50-70% for Actellic 300CS and 43-63% for SumiShield 50WG. Total operational costs including insecticide ranged from US$4.2 to US$10.5 per house, depending on the insecticide cost.

Interpretation
Conducting preventive residual insecticide applications can maintain Ae. aegypti densities at low levels year-round with important implications for preventing ABVs in the Americas and beyond.
DOI: 10.17632/88cyfpz7nn.1
title: Data and code for: Endogenous Product Adjustment and Exchange Rate Pass-Through

description: Replication package for: Freitag, Andreas and Sarah Lein. "Endogenous Product Adjustment and Exchange Rate Pass-Through"
DOI: 10.17632/65rx55psvs.1
title: Results of Tests with Bioluminescent Bacteria Vibrio fischeri on Water and Sediment Samples from the Pasto River Section: La Playita-Puente La Carolina 2015.

description: These are the results of bioassays with bioluminescent bacteria Vibrio fischeri, on water samples and organic extracts of sediments from the Pasto River in the strech La Platyita-PUente La Carolina, in the city of Pasto (Nariño-Colombia) in two sampling periods (wet period and dry period) in 2015. The tests were performed by the laboratories of the Javeriana University in the city of Cali (Valle del Cauca, Colombia) using ISO 11348-3:2007.
DOI: 10.17632/ypkr6r726j.1
title: Python-based code for automation of repeating calculations in Ansys Fluent

description: Here is the compiled Python-based code for automation calculations in Ansys Fluent for the fluid flow tasks.
DOI: 10.17632/rd5j4k4bhp.1
title: ELECTIONS RESULTS - BRAZIL (ALAGOAS)

description: Data on presidential elections in Brazil (Alagoas).
DOI: 10.17632/nt4h8bnfvw.1
title: Relative effects of pulsed laser deposition parameters on thin film stoichiometry

description: This is a spreadsheet for exploring the relative effects of ablation, plume expansion, and material condensation during the pulsed laser deposition of thin films. An ablation volume at the target material surface is considered with an area defined by the incident laser beam area and a thickness defined by the laser penetration depth. The spreadsheet is associated with a presentation at the 2022 International Conference on Metallurgical Coatings and Thin Films on the "Relative Effects of Pulsed Laser Deposition Parameters on the Stoichiometry of Thin Films," and with the conference paper to be published in Thin Solid Films.
DOI: 10.17632/nt4h8bnfvw.2
title: Relative effects of pulsed laser deposition parameters on thin film stoichiometry

description: This is a spreadsheet for exploring the relative effects of ablation, plume expansion, and material condensation during the pulsed laser deposition of thin films. An ablation volume at the target material surface is considered with an area defined by the incident laser beam area and a thickness defined by the laser penetration depth. The spreadsheet is associated with a presentation at the 2022 International Conference on Metallurgical Coatings and Thin Films on the "Relative Effects of Pulsed Laser Deposition Parameters on the Stoichiometry of Thin Films," and with the conference paper to be published in Thin Solid Films.
DOI: 10.17632/m9c8ysryzb.1
title: Metabolic classification for enzymatic reactions present in the ten Cancer-Hallmarks of Homo sapiens and Arabidopsis thalina

description: When performing the identification and metabolic classification of the genes that code for proteins with exclusive catalytic activity involved in Cancer-Hallmarks genes (CHG) and cancer development for each species; 1297 genes for H. sapiens (SD3) and 609 genes for A. thaliana (SD4) were found.
DOI: 10.17632/m9c8ysryzb.2
title: Metabolic classification for enzymatic reactions present in the ten Cancer-Hallmarks of Homo sapiens and Arabidopsis thalina

description: When performing the identification and metabolic classification of the genes that code for proteins with exclusive catalytic activity involved in Cancer-Hallmarks genes (CHG) and cancer development for each species; 1297 genes for H. sapiens (SD3) and 609 genes for A. thaliana (SD4) were found.
DOI: 10.17632/m9c8ysryzb.3
title: Metabolic classification for enzymatic reactions present in the ten Cancer-Hallmarks of Homo sapiens and Arabidopsis thalina

description: When performing the identification and metabolic classification of the genes that code for proteins with exclusive catalytic activity involved in Cancer-Hallmarks genes (CHG) and cancer development for each species; 1297 genes for H. sapiens (SD3) and 609 genes for A. thaliana (SD4) were found.
DOI: 10.17632/vxkj334rzv.2
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 1

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).
DOI: 10.17632/vxkj334rzv.3
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 1

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/vxkj334rzv.4
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 1

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/vxkj334rzv.5
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 1

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/pykbtg7wn5.1
title: Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example（training set data）

description: This is a training set for machine learning.The content of this training set is related to the published paper "Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example".This research is based on the image synthesis technology of machine learning, and an urban morphology map is generated through the footprint heat map of the COVID-19 epidemic.First, the heatmap of the COVID-19 epidemic footprint is used as training set A, and the corresponding urban morphology map of Macau Peninsula is used as training set B. Then, a conditional generative adversarial network (CGAN) is implemented for training. In the image translation using training set A and training set B, the generator and the discriminator are allowed to play against each other, thus improving the quality of the generated pictures and realizing the ability to generate urban morphology maps .
The experimental materials are shown in Figure 1. In the processing of the Macau map, in order to simplify the data, various elements in the map were represented in different colors and presented in the form of color pictures. In this study, five colors were used to represent the elements on the map: roads and squares are red (R = 255, G = 0, B0), green spaces are green (R = 200, G = 215, B = 158), water is blue (R = 158, G = 188, B = 216), buildings are white (R = 255, G = 255, B = 255), and land is black (R = 0, G = 0, B = 0). These five colors represent most of the content in the city map. The footprint hotspot data of the COVID-19 epidemic were generated by researchers from the statistics of the footprint report of a total of 500 patients in Macau (from mid-June to early July 2022), which was fully disclosed by the Macau Health Bureau. The addresses of the footprints were mainly registered according to the building of residence. Despite the longest residence time and the highest risk of carrying the virus, due to personal privacy, some private itineraries were not officially announced. Therefore, this study could only screen the footprints of a total of 3265 confirmed patients on the Macau Peninsula. Then, the addresses were converted into latitude and longitude coordinates using Google Maps API Web Services, before being input into ArcGIS Pro to generate hotspot data. Since CGAN requires paired datasets for training, in order to make the data correspond one-to-one, they were uniformly corrected into the Observatorio Meteorologico 1965 Macau Grid.
DOI: 10.17632/pykbtg7wn5.2
title: Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example（training set data）

description: This is a training set for machine learning.The content of this training set is related to the published paper "Revealing the Impact of Urban Form on COVID-19 Based on Machine Learning: Taking Macau as an Example".This research is based on the image synthesis technology of machine learning, and an urban morphology map is generated through the footprint heat map of the COVID-19 epidemic.First, the heatmap of the COVID-19 epidemic footprint is used as training set A, and the corresponding urban morphology map of Macau Peninsula is used as training set B. Then, a conditional generative adversarial network (CGAN) is implemented for training. In the image translation using training set A and training set B, the generator and the discriminator are allowed to play against each other, thus improving the quality of the generated pictures and realizing the ability to generate urban morphology maps .
The experimental materials are shown in Figure 1. In the processing of the Macau map, in order to simplify the data, various elements in the map were represented in different colors and presented in the form of color pictures. In this study, five colors were used to represent the elements on the map: roads and squares are red (R = 255, G = 0, B0), green spaces are green (R = 200, G = 215, B = 158), water is blue (R = 158, G = 188, B = 216), buildings are white (R = 255, G = 255, B = 255), and land is black (R = 0, G = 0, B = 0). These five colors represent most of the content in the city map. The footprint hotspot data of the COVID-19 epidemic were generated by researchers from the statistics of the footprint report of a total of 500 patients in Macau (from mid-June to early July 2022), which was fully disclosed by the Macau Health Bureau. The addresses of the footprints were mainly registered according to the building of residence. Despite the longest residence time and the highest risk of carrying the virus, due to personal privacy, some private itineraries were not officially announced. Therefore, this study could only screen the footprints of a total of 3265 confirmed patients on the Macau Peninsula. Then, the addresses were converted into latitude and longitude coordinates using Google Maps API Web Services, before being input into ArcGIS Pro to generate hotspot data. Since CGAN requires paired datasets for training, in order to make the data correspond one-to-one, they were uniformly corrected into the Observatorio Meteorologico 1965 Macau Grid.
DOI: 10.17632/3kdjpjnm93.1
title: A dataset for n-alkane δD and  ε values of terrestrial plants in different regions of China

description: A dataset for n-alkane δD and  ε values of terrestrial plants in different regions of China
DOI: 10.15785/sbgrid/852
title: X-Ray Diffraction data from PAK4cat (D440N/S474E) in complex with Integrin beta5 760-770 peptide, source of 7S46 structure

description: Native datasets
DOI: 10.15785/sbgrid/854
title: X-Ray Diffraction data from Integrin beta5(743-774)-linker-PAK4cat(D440N/S474E), source of 7S47 structure

description: Native data