cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24442354.v1
title: Carrabelle_150

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442357
title: Citra_250

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442357.v2
title: Citra_250

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442357.v1
title: Citra_250

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442336
title: Balm_350

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442336.v2
title: Balm_350

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442336.v1
title: Balm_350

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442333
title: Avalon_304

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442333.v2
title: Avalon_304

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442333.v1
title: Avalon_304

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442327
title: Arcadia_490

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442327.v2
title: Arcadia_490

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442327.v1
title: Arcadia_490

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442558
title: Umatilla_302

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442558.v2
title: Umatilla_302

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24441751
title: Alachua_260

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24441751.v2
title: Alachua_260

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24441751.v1
title: Alachua_260

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442270
title: Apopka_320

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442270.v2
title: Apopka_320

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.6084/m9.figshare.24442270.v1
title: Apopka_320

description: The data includes 15-minute gap-free observations of air temperature at 60 cm, air temperature at 2 m, air temperature at 10 m, soil temperature, relative humidity, precipitation, wind speed, wind direction, solar radiation, and dew point temperature from 2005-2020 at 30 stations across Florida. These stations are a part of the Florida Automated Weather Network (FAWN). <br> The data are provided in station-specific directories that contain files for every year. The metadata file contains descriptions of the stations, sensors, and meteorological variables. Detailed methodology used to generate this gap-free FAWN data is provided in the paper below: Peeling, J., Judge, J., Misra, V., Jayasankar, C. B. & Lusher, R. Gap-free 16-year (2005-2020)<br> sub-diurnal surface meteorological observations across Florida. arXiv e-prints arXiv:2310.16739<br> (2023). 2310.16739
DOI: 10.15139/s3/vy4nl2
title: A comprehensive program to support parents of new teen drivers [R8]

description: The objective of this project was to create a comprehensive program, called Time to Drive, to support parents of beginning drivers in North Carolina. The program provides critical guidance to parents at various points in the licensing process when this guidance is most needed. Time to Drive includes: • An in-person parent coaching session that encourages parents to provide their teens with a substantial amount of supervised driving practice in a wide variety of settings; • A method for driver education instructors to meet with parents to discuss the progress and proficiency of their teen driver, and to remind them of their role and responsibility in helping their teen become a safe driver; • A smartphone app that encourages diversified practice during supervised driving and allows parents to easily keep track of the amount and variety of practice teens have gained; • A competency assessment guide that helps parents gauge a teen’s readiness to drive independently, and to determine the types of settings/environments in which the teen still needs practice; • Tools for parents about how to enforce GDL restrictions and how to choose a safe vehicle for a new teen driver; This is the first such program in the nation. After appropriate outcome evaluation, the program could serve as a model for other states.
DOI: 10.25345/c5w669k65
title: MassIVE MSV000093438 - Membrane Proteome Profiling of Erythroid Cell Lineages: A Valuable Resource for Advancing Plasmodium vivax Research
title: Background: Erythropoiesis is an intricate maturation process culminating in the production of erythrocytes. As cells progress through erythropoiesis, they undergo surface loss, organelle expulsion, size reduction, and dynamic removal of membrane proteins, refining their structure for specialized physiological functions. This orchestrated process is essential for generating mature erythrocytes capable of efficient gas exchange in the circulatory system. The membrane composition of red blood cells, comprising lipid layers and embedded proteins that play a fundamental role in cellular stability, flexibility, and host interactions. Investigating the membrane proteome becomes particularly relevant in the context of infectious diseases, such as malaria caused by Plasmodium. These proteins critically interact with parasite ligands, allowing entry and progression through various life cycle stages within host cells. Among Plasmodium species, P. vivax exhibits a specific tropism for invading reticulocytes, posing challenges for in vitro continue cultures development due to their limited availability and rapid differentiation. To address this, we studied hematopoietic cell lines, JK-1 and BEL-A2, as potential alternatives to reticulocytes for studying P. vivax biology. Using a Data Independent Acquisition (DIA) LC-MS/MS approach, we characterize and compare the membrane proteomes of reticulocytes, erythrocytes, and these cell lines. Results: Our results reveal distinct abundance patterns in transmembrane proteins, skeletal proteins, and membrane transporters during erythropoiesis. Additionally, we identified 6 potential receptor candidates for P. vivax merozoites ligands, shedding light on the intricate host-parasite interactions. Furthermore, we detected the loss of membrane proteins during erythroblast enucleation, providing insights into the cellular processes governing this transition. Conclusions: This study significantly contributes to our understanding of erythropoiesis, offering valuable insights for P. vivax malaria research and in vitro culture system development. The comprehensive analysis of membrane proteomes in different cell stages establishes a foundation for future investigations into cellular homeostasis, disease mechanisms, and potential therapeutic targets.
DOI: 10.34740/kaggle/dsv/7013329
title: sales in period walmart