cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48610/784baec
title: High-resolution climate change projections for Queensland

description: The dataset is High-resolution climate change projections for Queensland. The high-resolution (10 km spatial grid spacing) has been generated using global variable resolution CSIRO CCAM-CABLE model by the Department of Science, Information Technology and Innovation (DSITI) in collaboration with CSIRO Marine and Atmospheric Research. This high-resolution dynamically downscaled data is an extension of CSIRO-BoM Climate Change in Australia: Projections for Australia's NRM Regions (http://www.climatechangeinaustralia.gov.au/en/climate-projections/ ) which were based on the data from coarse resolution global climate projections completed under the CMIP5 (Coupled Model Intercomparison Project Phase 5) to support the development of the 5th Assessment Report of IPCC released during 2013-2014. The high resolution projections were developed in two stages. In first time varying sea surface temperature and sea ice from selected global climate models (CMIP5) were bias corrected and used to force the 50 km global uniform resolution CCAM-CABLE model for the period 1950-2099 under RCP8.5 emission pathway. In stage two the global stretched version of CCAM-CABLE model at 10 km spatial resolution over Queensland region (9.5-32oS – 132-158oE) was used. Simulations for period 1980-2009 were completed using spectral nudging at 6-hours interval from 50 km simulations (stage 1). Both stages of dynamical downscaling follow the Coordinated Regional Downscaling Experiment (CORDEX - http://www.cordex.org/ ) experimental protocol. The aim CORDEX is to use a coordinated approach to bridge the gap between the climate modelling community and end users of climate information across the globe by providing high-resolution climate change projections for regional scale adaptation. The following CMIP5 global climate model simulations of historical and future climate were downscaled in stage one and two: Australian CSIRO-BoM ACCESS1.0 and ACCESS1.3, US NCAR CCSM4, French CNRM-CM5, US NOAA GFDL-CM3, UK HadGEM2, Germany MPI-ESM-LR and Norway NorESM1-M. There is in total 9 models (8 distinct climate models and ensemble average). There are around 20 different variables for each model and 17 different derived changes (different 20 years long averaging periods into future eg. 2020, 2030..2090 per variable) In total around 3060 files with total size at this stage &lt;10 Gb. This data represents projected changes from historical period eg. changes at 2050 represent difference between 2040-2059 – 1986-2005. In second stage we will release daily (frequency of data) data ~ 720Gb size and hourly data for selected variables.
DOI: 10.26186/145544
title: Transit Sydney to Albany bathymetry (FK200110/GA4864)

description: This resource includes bathymetry data acquired during a transit from Sydney to Albany using a Kongsberg EM302 multibeam sonar system. The transit (FK200110/GA4864) was undertaken by the Schmidt Ocean Institute, using research vessel Falkor, from the 10th of January to the 18th of January 2020. The primary objective of the transit was to reach the Bremer Canyon survey area. This V1 dataset contains three 16m to 64m resolution 32-bit floating point geotiff files of the bathymetry data collected on the transit, derived from the processed EM302 bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.26186/140048
title: Visioning the Coral Sea Marine Park bathymetry survey (FK200429/GA4861)

description: This resource includes bathymetry data acquired during the Visioning the Coral Sea Marine Park bathymetry survey using Kongsberg EM302 and EM710 multibeam sonar systems. Visioning the Coral Sea Marine Park bathymetry survey (FK200429/GA4861) was led by Dr. Rob Beaman (James Cook University) and a team of scientists from Geoscience Australia, The University of Sydney, and the Queensland Museum, aboard the Schmidt Ocean Institute’s research vessel Falkor, from the 29th of April to 11th of June 2020. The primary objective of the survey was to map in detail the Queensland Plateau, including the steeper reef flanks and target the enigmatic seabed features, like the numerous drowned reef pinnacles and long meandering channels on the plateau surface. The second objective of this survey was to investigate the extent of the bleaching on the mesophotic or deeper reef, and if these reefs could act as a potential refuge for the Great Barrier Reef. The survey also aimed at providing insights into the geological evolution and biodiversity of Australia’s marine frontier. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.26186/145279
title: Tasman and Coral Seas bathymetry survey (FK201228/GA4868)

description: This resource includes bathymetry data acquired during the Tasman and Coral Seas survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Tasman and Coral Seas bathymetry survey (FK201228/GA4868); also known as Pinging in the New Year: Mapping the Tasman and Coral Seas survey; was led by James Cook University and University of Queensland aboard the Schmidt Ocean Institute's research vessel Falkor from the 28th of December to the 25th of January 2021. The primary objective of the expedition was to map the seabed of the target area in the Tasman and Coral Seas that will support ocean research, management and sustainable economic development. Bathymetric maps are especially valuable for geoscience research, as the shape of the seafloor holds information about the tectonic movement and the formation of the Australian continent. Another objective was to survey seabirds, which are important indicators of ocean health and the data collected from the expedition are vital for informing management of the Coral Sea Marine Park. This V1 dataset contains one 64m resolution 32-bit floating point geotiff files of the Tasman and Coral Seas bathymetry survey area, derived from the processed EM302 and EM710 bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.34740/kaggle/dsv/5779476
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7972396
title: Interpretation of EKG with Image Recognition and Convolutional Neural Networks

description: Dataset used in the training and evaluation of "Interpretation of EKG with Image Recognition and Convolutional Neural Networks" Abstract: Electrocardiograms (EKG) form the backbone of all cardiovascular diagnosis, treatment and follow up. Given the pivotal role it plays in modern medicine, there have been multiple efforts to computerize the EKG interpretation with algorithms to improve efficiency and accuracy. Unfortunately, many of these algorithms are machine specific and run-on proprietary signals generated by that machine, hence not generalizable. We propose the development of an image recognition model which can be used to read standard EKG strips. A convolutional neural network (CNN) was trained to classify 12-lead EKGs between 7 clinically important diagnostic classes. An austere variation of the MobileNetV3 model was trained from the ground up on publicly available labeled training set. The precision per class varies from 52% to 91%. This is a novel approach to EKG interpretation as an image recognition problem.
DOI: 10.5281/zenodo.7972397
title: Interpretation of EKG with Image Recognition and Convolutional Neural Networks

description: Dataset used in the training and evaluation of "Interpretation of EKG with Image Recognition and Convolutional Neural Networks" Abstract: Electrocardiograms (EKG) form the backbone of all cardiovascular diagnosis, treatment and follow up. Given the pivotal role it plays in modern medicine, there have been multiple efforts to computerize the EKG interpretation with algorithms to improve efficiency and accuracy. Unfortunately, many of these algorithms are machine specific and run-on proprietary signals generated by that machine, hence not generalizable. We propose the development of an image recognition model which can be used to read standard EKG strips. A convolutional neural network (CNN) was trained to classify 12-lead EKGs between 7 clinically important diagnostic classes. An austere variation of the MobileNetV3 model was trained from the ground up on publicly available labeled training set. The precision per class varies from 52% to 91%. This is a novel approach to EKG interpretation as an image recognition problem.
DOI: 10.48610/93991e2
title: University of Queensland Center for Clinical Genomics (UQCCG) Genomic Medicine Project

description: The project provides access to whole genome data derived from both germ line and somatic samples. Samples posses detailed phenotype information and have been genetically characterized using other technologies. The data allows the 1) Testing and validation of algorithms that aim to derive clinically relevant data from Whole genome Sequencing data. 2) Perform research and gene discover using large disease cohorts. The storage will initially hold 150 whole genomes of Acute Myeloid Leukaemia samples.
DOI: 10.48610/d7d5836
title: The Global Reef Record Archive

description: The Global Reef Record is a collection of high definition images and video footage filmed on multiple coral reefs sites around the world. The images are scanned for coral species and automatically annotated, using computer vision algorithms. The footage is used to create 3D reconstructions of reef ecosystems, a visual way to assess reef populations. Additional environmental data from satellites such as ocean temperature, regional storm activity and wave exposure is included to allow for advanced analysis of worldwide reef health. This data is important for the future conservation and management of coral reefs and will encourage global engagement with reef health issues.
DOI: 10.48610/e7272ae
title: Cortical development projects

description: This RDM collection is for archiving animal brain MRI data used for cortical development studies
DOI: 10.26186/145281
title: South-west Corner Marine Park survey – bathymetry (GA-4858)

description: This resource includes bathymetry data for South-west Corner Marine Park collected by Geoscience Australia during the periods 9 – 12 March 2020 and 27 January – 16 February 2021 on the charter vessel Santosha. The survey was undertaken as a collaborative project with the University of Western Australia, the University of Tasmania and the Australian Centre for Field Robotics (University of Sydney), and funded through the National Environmental Science Program Marine Biodiversity Hub, with co-investment by all partners and the Director of National Parks. The purpose of the project was to build baseline information for benthic habitats on the continental shelf in the marine park that will support ongoing environmental monitoring within the South-West Marine Park Network as part of the 10-year management plan (2018-2028). Data acquisition for the project included multibeam bathymetry and backscatter for an area covering 330 km^2 (excluding transit) offshore from Cape Naturaliste to Cape Leeuwin coast, with underwater imagery of benthic communities and demersal fish collected by the University of Western Australia on separate field deployments. This bathymetry dataset contains a 5 m resolution 32-bit geotiff file of the survey area produced from the processed Kongsberg EM2040C multibeam sonar system using CARIS HIPS and SIPS software. For further information see: Giraldo-Ospina, A. et al., 2021. South-west Corner Marine Park Post Survey Report. Report to the National Environmental Science Program, Marine Biodiversity Hub.This dataset is not to be used for navigational purposes.
DOI: 10.6084/m9.figshare.23211458
title: Evaluation of Antenatal Care Utilization and its Effects on Obstetric and Newborn Outcomes at a Public and Private Hospital of Karnataka_ A Comparative Study (Responses).xlsx

description: Exel Data Sheet
DOI: 10.6084/m9.figshare.23211458.v1
title: Evaluation of Antenatal Care Utilization and its Effects on Obstetric and Newborn Outcomes at a Public and Private Hospital of Karnataka_ A Comparative Study (Responses).xlsx

description: Exel Data Sheet
DOI: 10.48610/4f0cc6f
title: Northern Beef Genomics Databank

description: Long read nanopore genome sequence data of 100 Australian beef cattle from Northern Australia. Both nucleotide variation any methylation information is included.
DOI: 10.5281/zenodo.7972878
title: Dataset and Analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"

description: Dataset and analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"
DOI: 10.5281/zenodo.7972877
title: Dataset and Analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"

description: Dataset and analyses for manuscript: "Counteracting effects of soil biota on emergence and growth of herbaceous plants"
DOI: 10.17632/zy35xjkdkp.1
title: Supplementary Table 1 Clinical characteristics of 6 sequencing patients.

description: Clinical characteristics of 6 sequencing patients.
DOI: 10.17632/28cft6pz76.3
title: CELL-CHEMICAL-BIOLOGY-D-22-00559R2 McConnell et al.

description: This data set contains i) original western blot images and ii) raw FRET kinetics fluorescence data for "Spike-protein proteolytic antibodies in COVID-19 convalescent plasma contribute to SARS-CoV-2 neutralization." Cell Chemical Biology. 2023.
DOI: 10.17632/28cft6pz76.1
title: Covid CCP Catalytic Antibodies

description: Full data set for "Spike-protein proteolytic antibodies in COVID-19 convalescent plasma contribute to SARS-CoV-2 neutralization." 2022.
DOI: 10.17632/28cft6pz76.2
title: CELL-CHEMICAL-BIOLOGY-D-22-00559R2 McConnell et al.

description: This data set contains i) original western blot images and ii) raw FRET kinetics fluorescence data for "Spike-protein proteolytic antibodies in COVID-19 convalescent plasma contribute to SARS-CoV-2 neutralization." Cell Chemical Biology. 2023.
DOI: 10.17632/28cft6pz76.4
title: CELL-CHEMICAL-BIOLOGY-D-22-00559R2 McConnell et al.

description: This data set contains i) original western blot images and ii) raw FRET kinetics fluorescence data for "Spike-protein proteolytic antibodies in COVID-19 convalescent plasma contribute to SARS-CoV-2 neutralization." Cell Chemical Biology. 2023.
DOI: 10.17632/93y6mwsx5f.1
title: Data: War UCAV 6-DoF Combat Quadcopter

description: This dataset is in support of my research paper 'Design of 6-DoF Combat Quadcopter'.

Data of IEEE DataPort is uploaded here on request  on this open access.
DOI: 10.17632/4wrk82hp62.1
title: Data Academic Resilience from Vocational High School Collect with New 20-Item Scale

description: Data present about academic resilience among vocational high school students that collected with the new 20-item Scale. We developed 20 items to measure resilience in an academic setting among vocational high school students based on the concept of academic resilience by  Martin & Marsh. The data is useful for the psychometric properties of the academic resilience scale, especially in the vocational high school student population.
DOI: 10.17632/4wrk82hp62.2
title: Data Academic Resilience from Vocational High School Collect with New 20-Item Scale

description: Data present about academic resilience among vocational high school students that collected with the new 20-item Scale. We developed 20 items to measure resilience in an academic setting among vocational high school students based on the concept of academic resilience by  Martin & Marsh. The data is useful for the psychometric properties of the academic resilience scale, especially in the vocational high school student population.
DOI: 10.17632/4wrk82hp62.3
title: Data Academic Resilience from Vocational High School Collect with New 20-Item Scale

description: Data present about academic resilience among vocational high school students that collected with the new 20-item Scale. We developed 20 items to measure resilience in an academic setting among vocational high school students based on the concept of academic resilience by  Martin & Marsh. The data is useful for the psychometric properties of the academic resilience scale, especially in the vocational high school student population.
DOI: 10.17632/kw453xnjkh.1
title: Murine Hepatitis Virus Exoribonuclease, nsp14, is Required for the Biogenesis of Viral Circular RNAs

description: This is an unprecedented report that MHV encodes circRNAs, and nsp14-ExoN is important for the biogenesis of MHV circRNA. We applied ViReMa and CIRI2 to identify MHV circRNAs.
DOI: 10.17632/226275vfxz.1
title: Dataset of Mugshots

description: The major goal of the self-created dataset is to eliminate the class imbalance in LFW i.e., the dataset's largest class has 500 times more photos than the smallest. As a result of this flaw, the model may bias towards the class with more photos. Another reason for creating the criminal dataset is to account for low-resolution photos, as standard datasets use high-resolution cameras to gather photographs. To show the real-time application of face recognition, a self-created dataset containing 10 classes of criminals is used. Mislabelled and vague photos are manually removed, and 25 images from each class are considered to create a class-balanced dataset. Out of which 10 images of each class are used to construct low-resolution images and partially occluded faces. Therefore, each class of the proposed dataset is having 35 images. Photographs of the criminals for the self-created dataset are taken from Google. As the captured video frames contain numerous faces at a time, another testing dataset is made to include 50 different photos with multiple faces, thus the planned dataset is now ready to demonstrate the real-time surveillance system.
DOI: 10.17632/226275vfxz.2
title: Dataset of Mugshots

description: The major goal of the self-created dataset is to eliminate the class imbalance in LFW i.e., the dataset's largest class has 500 times more photos than the smallest. As a result of this flaw, the model may bias towards the class with more photos. Another reason for creating the criminal dataset is to account for low-resolution photos, as standard datasets use high-resolution cameras to gather photographs. To show the real-time application of face recognition, a self-created dataset containing 10 classes of criminals is used. Mislabelled and vague photos are manually removed, and 25 images from each class are considered to create a class-balanced dataset. Out of which 10 images of each class are used to construct low-resolution images and partially occluded faces. Therefore, each class of the proposed dataset is having 35 images. Photographs of the criminals for the self-created dataset are taken from Google. As the captured video frames contain numerous faces at a time, another testing dataset is made to include 50 different photos with multiple faces, thus the planned dataset is now ready to demonstrate the real-time surveillance system.
DOI: 10.17632/7whwd5z7m2.1
title: Data for: Vulnerability of a less-developed stock market to openness: one-way return and volatility transmissions

description: This dataset is for a study, within the area of Behavioral Finance, that, using a uniquely modified set of bivariate asymmetric GARCH models, investigates one-way return and volatility transmissions from the international Brent oil market, natural gas markets, carbon markets, and naira-dollar exchange market into the Nigerian stock market.
DOI: 10.17632/z6wybrtpyk.1
title: CO2 and CH4 fluxes at Harvard Forest

description: Data and code associated with "Tree species effects on soil CO2 and CH4 fluxes in a mixed temperate forest ".
DOI: 10.17632/z6wybrtpyk.2
title: CO2 and CH4 fluxes at Harvard Forest

description: Data and code associated with "Jevon et al, 2023. Tree species effects on soil CO2 and CH4 fluxes in a mixed temperate forest. Ecosystems."
DOI: 10.17632/d9gdhvp27b.1
title: Codes and datasets of article "Discrete-continuous model for facility location problem with capacity-cost relation constraints"

description: The codes of method proposed and the datasets used in article  "Discrete-continuous model for facility location problem with capacity-cost relation constraints"
DOI: 10.6084/m9.figshare.23211494
title: Functional Annotations of American Cockroach, <em>Periplaneta americana</em>

description: Predicted protein sequences from this data were functionally annotated to EggNog mapper (Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups) with a minimum E-value of 0.001 whereby 423 queries were scanned.
DOI: 10.6084/m9.figshare.23211494.v1
title: Functional Annotations

description: Predicted protein sequences from this data were functionally annotated to EggNog mapper (Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups) with a minimum E-value of 0.001 whereby 423 queries were scanned.
DOI: 10.6084/m9.figshare.23211494.v2
title: Functional Annotations of American Cockroach, <em>Periplaneta americana</em>

description: Predicted protein sequences from this data were functionally annotated to EggNog mapper (Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups) with a minimum E-value of 0.001 whereby 423 queries were scanned.
DOI: 10.5281/zenodo.7972937
title: Simplified local infill size optimization for FDM printed PLA parts

description: The great advantage of additive manufacturing is the fact that hollowed parts with a given infill can be created. However, the standardized commercial slicer software offers a uniform infill pattern creation solution. In engineering practice, the manufactured parts are functional, therefore the appropriate load bearing capacity is mostly mandatory. In this paper a simplified local infill size optimization method has been presented. Based on a Finite Element Analysis the local density of the pattern can be adjusted, according to the emerged local stresses. The results show that independently of the pattern type, if the scaling was applied, the mechanical resistance was improved to the same extent. In case of the worst-performing uniform pattern, 84% improvement in mechanical resistance was achieved with the optimization. In addition, an FDM printing problem has been highlighted, which must be eliminated if the proposed method is used.
description: {"references": ["M.T. Birosz, M. And\u00f3, Simplified local infill size optimization for FDM printed PLA parts, Scientific Reports"]}
DOI: 10.5281/zenodo.7972936
title: Simplified local infill size optimization for FDM printed PLA parts

description: The great advantage of additive manufacturing is the fact that hollowed parts with a given infill can be created. However, the standardized commercial slicer software offers a uniform infill pattern creation solution. In engineering practice, the manufactured parts are functional, therefore the appropriate load bearing capacity is mostly mandatory. In this paper a simplified local infill size optimization method has been presented. Based on a Finite Element Analysis the local density of the pattern can be adjusted, according to the emerged local stresses. The results show that independently of the pattern type, if the scaling was applied, the mechanical resistance was improved to the same extent. In case of the worst-performing uniform pattern, 84% improvement in mechanical resistance was achieved with the optimization. In addition, an FDM printing problem has been highlighted, which must be eliminated if the proposed method is used.
description: {"references": ["M.T. Birosz, M. And\u00f3, Simplified local infill size optimization for FDM printed PLA parts, Scientific Reports"]}