cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14010937
title: The effect of phase change material (PCM) of paraffin and beeswax in battery pack cooling system

description: Battery-powered electric vehicles have gained traction as a sustainable and efficient mode of transportation. These vehicles rely on large battery packs to provide the necessary energy for their operation. However, the operation of these battery packs generates heat, which necessitates effective management to ensure the safe and reliable functioning of the electric vehicle. As the demand for higher energy density in lithium-ion power batteries increases, conventional cooling methods may no longer adequately meet the heat dissipation requirements under high-rate discharge and high ambient temperature conditions. Researchers are investigating alternative cooling techniques, such as phase change material cooling, to optimize heat dissipation in electric vehicle battery packs, including the use of paraffin and beeswax. The experimental results indicate that beeswax-based phase change material is a more effective thermal management solution for Li-ion battery packs compared to paraffin-based PCM and air cooling. The beeswax-based cooling system maintained consistently lower temperatures and slower temperature rises, leading to better control over battery pack heating. This system also demonstrated superior performance in terms of voltage stability and battery capacity retention, exhibiting lower voltage drops and a slower rate of battery depletion. These findings suggest that beeswax-based PCM offers significant advantages for the design and optimization of thermal management systems in high-power Li-ion battery packs, which could potentially enhance battery performance, longevity, and safety.
DOI: 10.5281/zenodo.14010938
title: The effect of phase change material (PCM) of paraffin and beeswax in battery pack cooling system

description: Battery-powered electric vehicles have gained traction as a sustainable and efficient mode of transportation. These vehicles rely on large battery packs to provide the necessary energy for their operation. However, the operation of these battery packs generates heat, which necessitates effective management to ensure the safe and reliable functioning of the electric vehicle. As the demand for higher energy density in lithium-ion power batteries increases, conventional cooling methods may no longer adequately meet the heat dissipation requirements under high-rate discharge and high ambient temperature conditions. Researchers are investigating alternative cooling techniques, such as phase change material cooling, to optimize heat dissipation in electric vehicle battery packs, including the use of paraffin and beeswax. The experimental results indicate that beeswax-based phase change material is a more effective thermal management solution for Li-ion battery packs compared to paraffin-based PCM and air cooling. The beeswax-based cooling system maintained consistently lower temperatures and slower temperature rises, leading to better control over battery pack heating. This system also demonstrated superior performance in terms of voltage stability and battery capacity retention, exhibiting lower voltage drops and a slower rate of battery depletion. These findings suggest that beeswax-based PCM offers significant advantages for the design and optimization of thermal management systems in high-power Li-ion battery packs, which could potentially enhance battery performance, longevity, and safety.
DOI: 10.15468/dl.vsapb2
title: Occurrence Download

description: A dataset containing 69565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorsachius melanolophus (Raffles, 1822)"
 ]
}

 The dataset includes 69565 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011713-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvpmw2
title: Occurrence Download

description: A dataset containing 20303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.89089 18.84378,-98.42801 18.84378,-98.42801 19.61789,-98.89089 19.61789,-98.89089 18.84378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1994-2024"
 ]
}

 The dataset includes 20303 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011714-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48606/94
title: TwinNetworkDataset001

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from a cross of Tg(sebox:EGFP) and TE zebrafish strains were used for imaging. Images of embryos were acquired at 30 acquisition time points with a time interval of 5:00 minutes between each acquisition time point from approximately 2.5 to 5 hours post fertilization. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/58
title: TwinNetworkDataset002

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and sqt+/- zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2.5 hpf and ended with embryos between 13.25-14.25 hpf. Images of embryos were acquired at 120 acquisition time points with a time interval of 354 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/59
title: TwinNetworkDataset003

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and Tg(gsc:TurboRFP) zebrafish strains were used for imaging. Imaging started at 4 hpf and ended at 19 hpf. Images of embryos were acquired at 180 acquisition time points with a time interval of 300 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/61
title: TwinNetworkDataset004

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of sqt+/-, crosses of Tg(sebox:EGFP) and sqt+/-, and crosses of Tg(sebox:EGFP) and Tg(gsc:TurboRFP) zebrafish strains were used for imaging. Imaging started at 4 hpf and ended at 22.5 hpf. Images of embryos were acquired at 134 acquisition time points with a time interval of 498 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/62
title: TwinNetworkDataset005

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and TE zebrafish strains were used for imaging. Imaging started at 4.5 hpf and ended at 19.5 hpf. Images of embryos were acquired at 180 acquisition time points with a time interval of 300 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/63
title: TwinNetworkDataset006

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and Tg(gsc:TurboRFP) zebrafish strains were used for imaging. Imaging started with embryos between 3.75-4 hpf and ended with embryos between 28.75-29 hpf. Images of embryos were acquired at 300 acquisition time points with a time interval of 300 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/64
title: TwinNetworkDataset007

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and sqt+/- zebrafish strains were used for imaging. Imaging started at 3 hpf and ended at 28 hpf. Images of embryos were acquired at 300 acquisition time points with a time interval of 300 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/65
title: TwinNetworkDataset008

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from crosses of Tg(sebox:EGFP) and sqt+/-, and crosses of Tg(sebox:EGFP) and TE zebrafish strains were used for imaging. Imaging started with embryos between 2-3 hpf and ended with embryos between 27.25-28.25 hpf. Images of embryos were acquired at 249 acquisition time points with a time interval of 366 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/67
title: TwinNetworkDataset009

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 2-3 hpf and ended with embryos between 27.25-28.25 hpf. Images of embryos were acquired at 248 acquisition time points with a time interval of 368 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/68
title: TwinNetworkDataset010

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started at 2.5 hpf and ended at 27.75 hpf. Images of embryos were acquired at 300 acquisition time points with a time interval of 303 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/69
title: TwinNetworkDataset011

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP), incrosses of Tg(gsc:GFP), crosses of Tg(sebox:EGFP) and Tg(lhx1a:EGFP), and crosses of Tg(sebox:EGFP) and Tg(gsc:GFP) zebrafish strains were used for imaging. Imaging started at 2.25 hpf and ended at 2.5 hpf. Images of embryos were acquired at 3 acquisition time points with a time interval of 6:18 min between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/70
title: TwinNetworkDataset012

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.75-2.25 hpf and ended with embryos between 16.75-17.25 hpf. Images of embryos were acquired at 360 acquisition time points with a time interval of 150 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/71
title: TwinNetworkDataset013

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Imaging started at 2.25 hpf and ended at 26.5 hpf. Images of embryos were acquired at 580 acquisition time points with a time interval of 150 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/72
title: TwinNetworkDataset014

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2.5 hpf and ended with embryos between 26.5-27.5 hpf. Images of embryos were acquired at 600 acquisition time points with a time interval of 150 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/73
title: TwinNetworkDataset015

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) and crosses of Tg(sebox:EGFP) and TE zebrafish strains were used for imaging. Imaging started at 1.5 hpf and ended at 26.5 hpf. Images of embryos were acquired at 600 acquisition time points with a time interval of 2:30 min between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/74
title: TwinNetworkDataset016

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2.5 hpf and ended with embryos between 11.5-12.5 hpf. Images of embryos were acquired at 241 acquisition time points with a time interval of 150 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/76
title: TwinNetworkDataset017

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Imaging started with embryos between 1.75-2 hpf and ended with embryos between 25.75-26 hpf. Images of embryos were acquired at 720 acquisition time points with a time interval of 120 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/75
title: TwinNetworkDataset018

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2 hpf and ended with embryos between 23.25-23.75 hpf. Images of embryos were acquired at 418 acquisition time points with a time interval of 188 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/77
title: TwinNetworkDataset019

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1-2.25 hpf and ended with embryos between 25.75-27 hpf. Images of embryos were acquired at 595 acquisition time points with a time interval of 150 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/78
title: TwinNetworkDataset020

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of TE zebrafish strains were used for imaging. Imaging started with embryos between 0.75-1.25 hpf and ended with embryos between 8-8. 5 hpf. Images of embryos were acquired at 141 acquisition time points with a time interval of 185 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/79
title: TwinNetworkDataset021

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 0.5-1 hpf and ended with embryos between 24.5-25 hpf. Images of embryos were acquired at 360 acquisition time points with a time interval of 240 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/80
title: TwinNetworkDataset022

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 0.75-1.25 hpf and ended with embryos between 24.75-25.25 hpf. Images of embryos were acquired at 360 acquisition time points with a time interval of 240 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/81
title: TwinNetworkDataset023

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 3-4 hpf and ended with embryos between 21.75-22.75 hpf. Images of embryos were acquired at 187 acquisition time points with a time interval of 359 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/82
title: TwinNetworkDataset024

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2.5 hpf and ended with embryos between 25.5-26.5 hpf. Images of embryos were acquired at 360 acquisition time points with a time interval of 240 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/83
title: TwinNetworkDataset026

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 2-4 hpf and ended with embryos between 26-28 hpf. Images of embryos were acquired at 720 acquisition time points with a time interval of 120 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/84
title: TwinNetworkDataset025

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.5-2.5 hpf and ended with embryos between 25.5-26.5 hpf. Images of embryos were acquired at 480 acquisition time points with a time interval of 180 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.
DOI: 10.48606/85
title: TwinNetworkDataset027

description: The data comprises bright-field time-lapse images of zebrafish embryos acquired in multiple batches within multi-well plates using an Acquifer Imaging Machine. Embryos from incrosses of Tg(sebox:EGFP) zebrafish strains were used for imaging. Imaging started with embryos between 1.25-2 hpf and ended with embryos between 25.25-26 hpf. Images of embryos were acquired at 720 acquisition time points with a time interval of 120 s between each acquisition time point. Individual embryo segments were identified and extracted using a trained neural network for object detection. Within this experiment folder, data are organized by microscope position and embryo number.