cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hh4ncp9hy6.1
title: Assessment of the seismic behavior of Unconnected Fiber Reinforced Elastomeric Isolators (U-FREI) as base isolation in a Reinforced Concrete Thin Wall building using Real-Time Hybrid Simulations

description: This data present the seismic performance and behavior of Unconnected Fiber Reinforced Elastomeric Isolators (U-FREI) devices as base isolator in Reinforced Concrete Thin Walls (RCTW) buildings using the Real-Time Hybrid Simulation (RTHS) technique. RTHS is a physical-cybernetic testing methodology that allows a dynamic system to be substructured into numerical and experimental components. In this data, isolated RCTW buildings are evaluated under four seismic events (El Centro, Kobe, Loma Prieta, and Morgan) with a maximum acceleration of 0.70 g.
DOI: 10.17632/5db8mtw4wg.2
title: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

description: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs Data abstract: - Despite the importance, relatively little attention has been paid to vehicle routing problems with asymmetric costs (ACVRPs), or their benchmark instances. - Taking advantage of recent advances in map application programming interfaces (APIs) and shared spatial data, this paper proposes new realistic sets of ACVRP benchmark instances. - The spatial data of urban distribution centers, postal hubs, large shopping malls, residential complexes, restaurant businesses, and convenience stores are used. - To create distance and time matrices, the T map API, one of the most frequently used real time path analysis and distance measurement tools in South Korea, is used. 54 data sets are provided For each data set, 12 instances can be created (2 types of cost matrix, 2 types of vehicle capacities, 3 types of demand volumes) This make the total of 648 ACVRP benchmark instances - Each data set is named using the name city, depot, customers, and dimension (and distance range). - In case of SLAS100, the city is Seoul, depot is logistics center (urban distribution center), customers are in residential facilities (apartments), and the dimension is small with the value of 100. Each data set consists of the following: - Coordinates.csv: x and y coordinates in WGS-84 format - Cost_Distance.csv: road-distance matrix for each pair of nodes, from (row) and to (column) - Cost_Time.csv: road-time matrix for each pair of nodes, from (row) and to (column) - Vehicle_V1.csv: 1-ton truck's vehicle capacity in volume (cubic meters) - Vehicle_V2.csv: 2.5-ton truck's vehicle capacity in volume (cubic meters) - Volume_V1M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 1 - Volume_V1M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 2 - Volume_V1M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 3 - Volume_V2M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 1 - Volume_V2M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 2 - Volume_V2M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 3 - Folder: Solutions Each solution folder consists of the following: - bestSolution.txt: best solution found in 10 replications - solutionOFV.txt: OFV values for each replication - solutionTime.txt: solution time for each replication (seconds) * The solutions are provided using sweep and simulated annealing algorithms Acknowledgments: Special thanks goes to Representative Director of SL Solution, Hyojoon Cha, and Director of Research Institute at SL Solution, Jaeseok Song. SL Solution, in charge of maintenance for the T map API, provided real time road distance and road time information for the benchmarks.
DOI: 10.17632/5db8mtw4wg.1
title: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

description: Data abstract: - Despite the importance, relatively little attention has been paid to vehicle routing problems with asymmetric costs (ACVRPs), or their benchmark instances. - Taking advantage of recent advances in map application programming interfaces (APIs) and shared spatial data, this paper proposes new realistic sets of ACVRP benchmark instances. - The spatial data of urban distribution centers, postal hubs, large shopping malls, residential complexes, restaurant businesses, and convenience stores are used. - To create distance and time matrices, the T map API, one of the most frequently used real time path analysis and distance measurement tools in South Korea, is used. 54 data sets are provided For each data set, 12 instances can be created (2 types of cost matrix, 2 types of vehicle capacities, 3 types of demand volumes) This make the total of 648 ACVRP benchmark instances - Each data set is named using the name city, depot, customers, and dimension (and distance range). - In case of SLAS100, the city is Seoul, depot is logistics center (urban distribution center), customers are in residential facilities (apartments), and the dimension is small with the value of 100. Each data set consists of the following: - Coordinates.csv: x and y coordinates in WGS-84 format - Cost_Distance.csv: road-distance matrix for each pair of nodes, from (row) and to (column) - Cost_Time.csv: road-time matrix for each pair of nodes, from (row) and to (column) - Vehicle_V1.csv: 1-ton truck's vehicle capacity in volume (cubic meters) - Vehicle_V2.csv: 2.5-ton truck's vehicle capacity in volume (cubic meters) - Volume_V1M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 1 - Volume_V1M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 2 - Volume_V1M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 3 - Volume_V2M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 1 - Volume_V2M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 2 - Volume_V2M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 3
DOI: 10.17632/5db8mtw4wg.3
title: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

description: New Realistic Sets of Benchmark Instances for Vehicle Routing Problem with Asymmetric Costs

Data abstract:
- Despite the importance, relatively little attention has been paid to vehicle routing problems with asymmetric costs (ACVRPs), or their benchmark instances. 
- Taking advantage of recent advances in map application programming interfaces (APIs) and shared spatial data, this paper proposes new realistic sets of ACVRP benchmark instances. 
- The spatial data of urban distribution centers, postal hubs, large shopping malls, residential complexes, restaurant businesses, and convenience stores are used. 
- To create distance and time matrices, the T map API, one of the most frequently used real time path analysis and distance measurement tools in South Korea, is used. 

54 data sets are provided
For each data set, 12 instances can be created (2 types of cost matrix, 2 types of vehicle capacities, 3 types of demand volumes)
This make the total of 648 ACVRP benchmark instances
- Each data set is named using the name city, depot, customers, and dimension (and distance range).
- In case of SLAS100, the city is Seoul, depot is logistics center (urban distribution center), customers are in residential facilities (apartments), and the dimension is small with the value of 100.

Each data set consists of the following:
- Coordinates.csv: x and y coordinates in WGS-84 format
- Cost_Distance.csv: road-distance matrix for each pair of nodes, from (row) and to (column)
- Cost_Time.csv: road-time matrix for each pair of nodes, from (row) and to (column)
- Vehicle_V1.csv: 1-ton truck's vehicle capacity in volume (cubic meters)
- Vehicle_V2.csv: 2.5-ton truck's vehicle capacity in volume (cubic meters)
- Volume_V1M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 1
- Volume_V1M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 2 
- Volume_V1M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V1.csv, case 3
- Volume_V2M5.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 1
- Volume_V2M10.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 2
- Volume_V2M20.csv: customer demand in volume (cubic meters), matched with Vehicle_V2.csv, case 3
- Folder: Solutions

Each solution folder consists of the following:
- bestSolution.txt: best solution found in 10 replications
- solutionOFV.txt: OFV values for each replication
- solutionTime.txt: solution time for each replication (seconds)
* The solutions are provided using sweep and simulated annealing algorithms

Acknowledgments: 
Special thanks goes to Representative Director of SL Solution, Hyojoon Cha, and Director of Research Institute at SL Solution, Jaeseok Song. SL Solution, in charge of maintenance for the T map API, provided real time road distance and road time information for the benchmarks.
DOI: 10.17632/4jp8w7d2kg.1
title: Full-Length Transcriptome Sequencing and Mining Flavonoid Biosynthetic Pathway in the Okra (Abelmoschus esculentus)

description: 23,083 non-redundant full-length transcripts of okra using PacBio Iso-seq
DOI: 10.17632/hrc4cnpjs3.1
title: Research Data

description: The impact of digital economy on factor market distortion in China: Before and during the COVID-19 pandemic
DOI: 10.17632/zsdy66whkp.1
title: Dispositional optimism boosts family adaptation to the COVID-19 pandemic: an intergenerational investigation of the associations between dispositional optimism, COVID-19 related worries, and depression/anxiety symptoms

description: The impacts of Coronavirus Disease 2019 (COVID-19) pandemic on mental health have been extensively studied. Several studies have indicated that optimism could play buffer effects during the pandemic. However, this hypothesis has yet been examined in family studies. This paper aimed to investigate the relationships of optimism, COVID-19 related worries, and depression/anxiety symptoms in both children and their parents, and further explore whether parents’ optimism could reduce children’s COVID-19 related worries, and depression/anxiety through the indirect effects of children’s optimism. Participants were 2011 Chinese parent-child dyads (father 40.8%, mean age 41.10 years, SD=5.34; boy 51.0%, mean age 15.25 years, SD = 2.48) from Jiangxi Province, China. Self-report questionnaires were used separately for both children and parents to investigate the COVID-19 related worries, depression, anxiety and optimism during the outbreak of COVID-19. Structural equation model showed that parents’ report of self-quarantine and quarantine of family members, relatives or friends were positively correlated with their COVID-19 related worries and depression/anxiety. Parents’ optimism significantly related to children’s optimism, while correlationships of COVID-19 related worries and optimism were significant but small in both parents and children. Parents’ optimism was negatively associated with children’s COVID-19 related worries via reduction of parents’ COVID-19 related worries. Furthermore, parents’ optimism was negatively related to their own depression/anxiety, and was also associated with lower child’s depression/anxiety via children’s optimism and their own depression/anxiety. Optimism can buffer the effects of trauma on mental health. Intergenerational transmission of optimism is an important mechanism for families to adapt common traumatic events.
DOI: 10.17632/dgby76t3xb.1
title: DiverseWisdomWithin

description: Data&Code
DOI: 10.17632/vwfk4p8n4n.1
title: Code for the paper

description: Code for the paper of Fig.2、3、4
DOI: 10.17632/7vb4djkbrc.1
title: Dataset of Banana Prata Catarina Images Labeled in Eight Ripeness Stages

description: Our general objective is that the dataset proposed here be useful for the development of Machine Learning and Computer Vision algorithms whose central object of analysis is the banana. The images contained here are of bananas from the Prata Catarina cultivar, with labeling of eight classes that represent levels of control of the fruit. For the labeling process, they were labeled via Bounding box, demarcating the banana in the image and assigning it a degree of maturation following the norms proposed in CEAGESP (2006). All 1000 images of bananas were taken using only smartphones. These images were collected on February 4th, 13th and 17th, 2023, with variations of the background on a smooth surface (white marble), on clayey soil or on foliage. Lastly, all data was uploaded to the roboflow platform and labeled using the bounding boxes method.
DOI: 10.17037/data.00003459
title: Clinical codelist - Lupus - Aurum

description: Read, SNOME and EMIS codes for lupus.
DOI: 10.7281/t1/lr1fmh/tkjunq
title: README.rtf

description: Overview of the dataset
DOI: 10.7281/t1/lr1fmh/unidm6
title: ZipcodeANDCountyCSVs.zip

description: CSV versions of the dataset worksheets for Zipcode and County
DOI: 10.7281/t1/lr1fmh/wpwfl6
title: Zipcode AND County.xlsx

description: Zipcode level data: U.S. zip code, total count of Medicare beneficiaries, number of beneficiaries identified as frail, minimum and maximum of the frailty probability score and the decile cutoffs of the score in each zip code. County level data: FIPS county codes, county name, state, total count of Medicare beneficiaries, number of beneficiaries identified as frail, minimum and maximum of the frailty probability score and the decile cutoffs of the score in each county.
DOI: 10.17037/data.00003461
title: Clinical codelist - Lupus - HES

description: ICD-10 codes for Lupus.
DOI: 10.17037/data.00003460
title: Clinical codelist - Lupus - Gold

description: Read codes for Lupus.
DOI: 10.5281/zenodo.7983157
title: Biometeorological Dataset for 'Novel algorithms for high resolution prediction of canopy evapotranspiration in grapevine'

description: A head trained <strong><em>Vitis vinifera</em></strong> L. cv. Zinfandel vine was grafted on St. George rootstock (<em>V. rupestris</em>) then planted in a 1.1 m<sup>3</sup> plastic container filled with Yolo County, CA sourced sandy loam.<br> <br> To estimate evapotranspiration, we measured the wind speed, air temperature and relative humidity in vine canopies by mounting each vine with a suite of research grade sensors. We measured wind speed (units m ᐧ s<sup>-1</sup>) inside the vine canopy using a single needle anemometer (<em>East 30 Sensors</em>; Pullman, WA) that took instantaneous wind speed measurements every 10 seconds and recorded the average of the previous 12 instantaneous measurements for every 2-minute interval. We measured temperature (units <sup>o</sup>C) and relative humidity (units %) using HMP60L sensors (Campbell Scientific; Logan, UT) mounted both inside and outside of each vine canopy and recorded instantaneous measurements at each 2-minute interval. We filtered all biometeorological data using a 3-hour moving average to remove noise without causing any significant over or under-approximation of daily maxima and minima. We automated all data collection using two CR1000 data loggers (<em>Campbell Scientific</em>; Logan, UT), with 1 or 2 vines and associated sensors per logger, using custom CR1 programs. A single 30W solar cell and 12V lead acid battery powered the entire vine-sensor system. This dataset represents all sensor data from a single vine, as measured in August 2020. Columns are named accordingly and include units. <strong>Please Note</strong>: The column named 'load_cell_kg' is not named accurately. The values given are in units of millivolts, and need to be translated from millivolts to kilograms. The 2020 calibration coefficient is 0.00330693663 millivolts per kilogram.
DOI: 10.5281/zenodo.7983156
title: Biometeorological Dataset for 'Novel algorithms for high resolution prediction of canopy evapotranspiration in grapevine'

description: A head trained <strong><em>Vitis vinifera</em></strong> L. cv. Zinfandel vine was grafted on St. George rootstock (<em>V. rupestris</em>) then planted in a 1.1 m<sup>3</sup> plastic container filled with Yolo County, CA sourced sandy loam.<br> <br> To estimate evapotranspiration, we measured the wind speed, air temperature and relative humidity in vine canopies by mounting each vine with a suite of research grade sensors. We measured wind speed (units m ᐧ s<sup>-1</sup>) inside the vine canopy using a single needle anemometer (<em>East 30 Sensors</em>; Pullman, WA) that took instantaneous wind speed measurements every 10 seconds and recorded the average of the previous 12 instantaneous measurements for every 2-minute interval. We measured temperature (units <sup>o</sup>C) and relative humidity (units %) using HMP60L sensors (Campbell Scientific; Logan, UT) mounted both inside and outside of each vine canopy and recorded instantaneous measurements at each 2-minute interval. We filtered all biometeorological data using a 3-hour moving average to remove noise without causing any significant over or under-approximation of daily maxima and minima. We automated all data collection using two CR1000 data loggers (<em>Campbell Scientific</em>; Logan, UT), with 1 or 2 vines and associated sensors per logger, using custom CR1 programs. A single 30W solar cell and 12V lead acid battery powered the entire vine-sensor system. This dataset represents all sensor data from a single vine, as measured in August 2020. Columns are named accordingly and include units. <strong>Please Note</strong>: The column named 'load_cell_kg' is not named accurately. The values given are in units of millivolts, and need to be translated from millivolts to kilograms. The 2020 calibration coefficient is 0.00330693663 millivolts per kilogram.
DOI: 10.17037/data.00003458
title: Clinical codelist - liver disease - HES

description: ICD-10 codes for liver disease.
DOI: 10.6084/m9.figshare.23262047
title: Plant Community Formation and Species Distribution Patterns in relation to environmental variables in Endiras Natural Forest, Fogera District, South Gondar Zone, Ethiopia ntitled Item

description: Plant species abundant data and enviromental variables data that affects plant community formation and species distribution pattern
DOI: 10.6084/m9.figshare.23262047.v1
title: Plant Community Formation and Species Distribution Patterns in relation to environmental variables in Endiras Natural Forest, Fogera District, South Gondar Zone, Ethiopia ntitled Item

description: Plant species abundant data and enviromental variables data that affects plant community formation and species distribution pattern
DOI: 10.17632/v5v45pv9jy.1
title: Relationship between smartphone addiction and physical activity among Undergraduate Physical Therapy students 

description: Smartphone abuse can lead to social issues like anxiety and a decline in social and emotional abilities. Additionally, using a smartphone can make it more difficult to physical activity, however it's unclear how smartphone addiction affects physical activity. Consequently, we studied the relationship between excessive smartphone use and physical exercise, as well as its effects.
Students are assessed initially to see whether they are addicted to their smartphones or not. Those who met the requirements for inclusion received a self-administered questionnaire. Physical activity-related questions were included in the survey. Each of the 23 study participants received a copy of the questionnaire.
DOI: 10.17632/fbwk2mp3dd.1
title: Improving Mathematics Achievement

description: This data is Ph.D. dissertation data that was collected from students.
DOI: 10.17632/xt3kvvzndw.1
title: Data on role-related time allocation among smallholder chicken farmers in rural Kenya

description: This is quantitative data on role-related time allocation among smallholder chicken farmers in the Eastern part of Kenya. The data was collected from the man and women in the same household using the WELI tool.
DOI: 10.17632/bvrrsgm6c6.1
title: The NSP4 T492I mutation increases SARS-CoV-2 infectivity by altering non-structural protein cleavage. Lin et al

description: Clinical information obtained from GISAID, IF_Change, and unprocessed images of blots and gels in this study.
DOI: 10.17632/y9kdxmxct4.1
title: Self-management practices for preventing complications of type 2 diabetes in low and middle income countries: A scoping review.

description: Introduction:  The majority of the day to day disease management activities needed to achieve glycemic control and improve the quality of life among patients with diabetes mellitus falls on the patient and/or their families. Determining the self-management practices by patients with diabetes mellitus can help develop interventions that can enhance these practices and help prevent complications. 
Objective: The current study aimed to explore the self-management practices of patients with type 2 diabetes mellitus in low and middle-income countries to prevent complications. 
Methods: Articles in Scopus databases and on the EBSCOHost platform were searched, as were their reference lists. 
Results: The attached table provides supplementary material containing raw data extracted from the twelve studies  that were included in the scoping review.
DOI: 10.17632/y9kdxmxct4.2
title: Self-management practices for preventing complications of type 2 diabetes in low and middle income countries: A scoping review.

description: Introduction:  The majority of the day to day disease management activities needed to achieve glycemic control and improve the quality of life among patients with diabetes mellitus falls on the patient and/or their families. Determining the self-management practices by patients with diabetes mellitus can help develop interventions that can enhance these practices and help prevent complications. 
Objective: The current study aimed to explore the self-management practices of patients with type 2 diabetes mellitus in low and middle-income countries to prevent complications. 
Methods: Articles in Scopus databases and on the EBSCOHost platform were searched, as were their reference lists. 
Results: The attached table provides supplementary material containing raw data extracted from the twelve studies  that were included in the scoping review.
DOI: 10.17632/y9kdxmxct4.3
title: Self-management practices for preventing complications of type 2 diabetes in low and middle income countries: A scoping review.

description: Introduction:  The majority of the day to day disease management activities needed to achieve glycemic control and improve the quality of life among patients with diabetes mellitus falls on the patient and/or their families. Determining the self-management practices by patients with diabetes mellitus can help develop interventions that can enhance these practices and help prevent complications. 
Objective: The current study aimed to explore the self-management practices of patients with type 2 diabetes mellitus in low and middle-income countries to prevent complications. 
Methods: Articles in Scopus databases and on the EBSCOHost platform were searched, as were their reference lists. 
Results: The attached table provides supplementary material containing raw data extracted from the twelve studies  that were included in the scoping review.
DOI: 10.5067/modis/mod00s.nrt.061
title: MODIS/Terra L0 PDS Data, Session-Based