cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.19642674
title: Support data for "Effects of an empowerment-based educative psycho-behavioral program on neuropsychiatric symptoms among persons with mild cognitive impairment"

description: This dataset contains datasets for a doctoral study entitled "Effects of an empowerment-based educative psycho-behavioral program on neuropsychiatric symptoms among persons with mild cognitive impairment" <br> This study consists of three phases: Phase 1 - a qualitative study exploring the lived experience of neuropsychiatric symptoms among persons with mild cognitive impairment. Semi-structured interview was conducted with 30 participants with mild cognitive impairment. <br> Phase 2 - a validation study examining the psychometric properties of the traditional Chinese version of the Mild Behavioral Impairment Checklist. A total of 172 participants completed a set of instruments. <br> Phase 3 - a mixed method study to examine the effects of an empowerment-based educative psycho-behavioral (Empower-EPB) program on neuropsychiatric symptoms among persons with mild cognitive impairment. Outcome measure were evaluated at baseline, upon the completion of the Empower-EPB program and four weeks thereafter.
DOI: 10.25442/hku.19642674.v1
title: Support data for "Effects of an empowerment-based educative psycho-behavioral program on neuropsychiatric symptoms among persons with mild cognitive impairment"

description: This dataset contains datasets for a doctoral study entitled "Effects of an empowerment-based educative psycho-behavioral program on neuropsychiatric symptoms among persons with mild cognitive impairment" <br> This study consists of three phases: Phase 1 - a qualitative study exploring the lived experience of neuropsychiatric symptoms among persons with mild cognitive impairment. Semi-structured interview was conducted with 30 participants with mild cognitive impairment. <br> Phase 2 - a validation study examining the psychometric properties of the traditional Chinese version of the Mild Behavioral Impairment Checklist. A total of 172 participants completed a set of instruments. <br> Phase 3 - a mixed method study to examine the effects of an empowerment-based educative psycho-behavioral (Empower-EPB) program on neuropsychiatric symptoms among persons with mild cognitive impairment. Outcome measure were evaluated at baseline, upon the completion of the Empower-EPB program and four weeks thereafter.
DOI: 10.6084/m9.figshare.19672095.v1
title: Phylogenetic tree

description: Manakins represent a family of small suboscine passerine birds characterized by their elaborate courtship displays, non-monogamous mating system, and sexual dimorphism. This family thus serves as a good model for the study of sexual selection. Here we present the genome assemblies of four manakin species (<em>Cryptopipo holochlora, Dixiphia pipra, Machaeropterus deliciosus</em> and <em>Masius chrysopterus</em>) generated by Single-tube Long Fragment Read (stLFR) technology. The assembled genome sizes ranged from 1.10 Gb to 1.19 Gb, with average scaffold N50 of 28 Mb and contig N50 of 168 Kb. On average, 9.35% genome region was annotated as repetitive elements, and 12,047 protein-coding genes were annotated in the genomes. We further identified about 75 Mb Z-linked sequences in these species, containing 583 to 602 genes, and 600 Kb pseudoautosomal region (PAR). One interesting finding of these Z-linked sequences is that Z-to-autosome/PAR reversal could happen in <em>Masius chrysopterus</em>. These manakin genomes will contribute to a deeper understanding of evolutionary history and sexual selection in these species
DOI: 10.6084/m9.figshare.19672095
title: Phylogenetic tree

description: Manakins represent a family of small suboscine passerine birds characterized by their elaborate courtship displays, non-monogamous mating system, and sexual dimorphism. This family thus serves as a good model for the study of sexual selection. Here we present the genome assemblies of four manakin species (<em>Cryptopipo holochlora, Dixiphia pipra, Machaeropterus deliciosus</em> and <em>Masius chrysopterus</em>) generated by Single-tube Long Fragment Read (stLFR) technology. The assembled genome sizes ranged from 1.10 Gb to 1.19 Gb, with average scaffold N50 of 28 Mb and contig N50 of 168 Kb. On average, 9.35% genome region was annotated as repetitive elements, and 12,047 protein-coding genes were annotated in the genomes. We further identified about 75 Mb Z-linked sequences in these species, containing 583 to 602 genes, and 600 Kb pseudoautosomal region (PAR). One interesting finding of these Z-linked sequences is that Z-to-autosome/PAR reversal could happen in <em>Masius chrysopterus</em>. These manakin genomes will contribute to a deeper understanding of evolutionary history and sexual selection in these species
DOI: 10.25345/c5445hg8c
title: MassIVE MSV000089455 - Envenomation by Bothrops atrox
title: The clinical manifestations of Bothrops atrox envenoming involve local and systemic changes, among which, edema requires substantial attention due to its ability to progress to compartmental syndromes, and sometimes, causing tissue loss and amputations. Thus, the present study aimed to explore the systemic pathological and inflammatory events that are altered by intraplantar injection of B. atrox venom in mice. Plasma samples collected showed differential abundance proteins related to complement, coagulation, lipid system, platelet and neutrophil degranulation and pathways related to cell death and ischemic tolerance. B. atrox venom can induces a different pattern of blood proteome alterations of mice according to the severity of the edema.
DOI: 10.6084/m9.figshare.19743232
title: o3.tar.gz

description: The observed data of ozone in 2013
DOI: 10.6084/m9.figshare.19743232.v1
title: o3.tar.gz

description: The observed data of ozone in 2013
DOI: 10.6084/m9.figshare.19743238
title: ResearchData-for-JAT.rar

description: The data for the paper " Willingness-to-Comply Analysis of Incentive Mechanisms for Alleviating Local Congestion in Metro Waiting Areas "
DOI: 10.6084/m9.figshare.19743238.v1
title: ResearchData-for-JAT.rar

description: The data for the paper " Willingness-to-Comply Analysis of Incentive Mechanisms for Alleviating Local Congestion in Metro Waiting Areas "
DOI: 10.6084/m9.figshare.19641420
title: fair dataset metadata

description: <strong>Sunnybrook Cardiac Data</strong> <br> The <strong>Sunnybrook Cardiac Data (SCD)</strong>, also known as the <strong>2009 Cardiac MR Left Ventricle Segmentation Challenge</strong> data, consist of 45 cine-MRI images from a mixed of patients and pathologies: <em>healthy</em>, <em>hypertrophy</em>, <em>heart failure with infarction</em> and <em>heart failure without infarction</em>. Subset of this data set was first used in the automated myocardium segmentation challenge from short-axis MRI, held by a MICCAI workshop in 2009. The whole complete data set is now available in the CAP database with <strong>public domain license</strong>. <strong>Classification</strong> There are four pathological groups in this data set, which were classified based on (K Alfakih et al., JMRI 2003) paper, i.e.: 1. Heart failure with infarction (<strong>HF-I</strong>) group had ejection fraction (EF) &lt; 40% and evidence of late gadolinium (Gd) enhancement. 2. Heart failure without infarction (<strong>HF</strong>) group had EF &lt; 40% and no late Gd enhancement. 3. LV hypertrophy (<strong>HYP</strong>) group had normal EF (&gt; 55%) and a ratio of left ventricular (LV) mass over body surface area is &gt; 83 g/m2. 4. Healthy (<strong>N</strong>) group had EF &gt; 55% and no hypertrophy. The following table shows group statistics written as average (stddev) : <br> <strong>N (n=9)</strong> <br> <strong>HYP (n=12)</strong> <br> <strong>HF (n=12)</strong> <br> <strong>HF-I (n=12)</strong> End Diastolic Volume (ml) <br> 115.69 (36.89) <br> 114.39 (50.46) <br> 233.67 (63.21) <br> 244.92 (86.02) End Systolic Volume (ml) <br> 43.10 (14.74) <br> 43.11 (24.50) <br> 158.28 (56.34) <br> 174.34 (90.64) Ejection Fraction (%) <br> 62.93 (3.65) <br> 62.72 (9.22) <br> 33.09 (13.07) <br> 32.01 (12.27) Left Ventricular Mass (g) <br> 130.27 (32.69) <br> 175.87 (85.70) <br> 193.69 (39.01) <br> 201.32 (45.24) <strong>Availability</strong> The Cardiac Atlas Project provides the dissemination of the Sunnybrook data by hosting them in the CAP databases. Finite element models (see supporting files section below) derived from these data are also provided. The whole complete data are available for any users, including the guest user account. License and attribution of these data set, including its derivatives, follows the <strong>Public Domain (CC0 1.0 Universal)</strong>. If you are using this data in a publication, please cite the following reference: Radau P, Lu Y, Connelly K, Paul G, Dick AJ, Wright GA. “Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.” <em>The MIDAS Journal</em> – Cardiac MR Left Ventricle Segmentation Challenge, http://hdl.handle.net/10380/3070 <strong>Data contributor</strong> 1. Perry Radau – Sunnybrook Health Sciences Centre, Toronto, Canada. <strong>More information</strong> · The original 2009 LV Segmentation Challenge webpage. · Promotional poster for the 2009 LV Segmentation Challenge. · The challenge results published in the MIDAS journal.
DOI: 10.6084/m9.figshare.19641420.v1
title: patients metadata

description: The <strong>Sunnybrook Cardiac Data (SCD)</strong>, also known as the <strong>2009 Cardiac MR Left Ventricle Segmentation Challenge</strong> data, consist of 45 cine-MRI images from a mixed of patients and pathologies: <em>healthy</em>, <em>hypertrophy</em>, <em>heart failure with infarction</em> and <em>heart failure without infarction</em>. Subset of this data set was first used in the automated myocardium segmentation challenge from short-axis MRI, held by a MICCAI workshop in 2009. The whole complete data set is now available in the CAP database with <strong>public domain license</strong>. <br> Classification There are four pathological groups in this data set, which were classified based on (K Alfakih et al., JMRI 2003) paper, i.e.: Heart failure with infarction (<strong>HF-I</strong>) group had ejection fraction (EF) &lt; 40% and evidence of late gadolinium (Gd) enhancement. Heart failure without infarction (<strong>HF</strong>) group had EF &lt; 40% and no late Gd enhancement. LV hypertrophy (<strong>HYP</strong>) group had normal EF (&gt; 55%) and a ratio of left ventricular (LV) mass over body surface area is &gt; 83 g/m2. Healthy (<strong>N</strong>) group had EF &gt; 55% and no hypertrophy. The following table shows group statistics written as average (stddev) : <br> Availability The Cardiac Atlas Project provides the dissemination of the Sunnybrook data by hosting them in the CAP databases. Finite element models (see supporting files section below) derived from these data are also provided. The whole complete data are available for any users, including the guest user account. License and attribution of these data set, including its derivatives, follows the <strong>Public Domain (CC0 1.0 Universal)</strong>. If you are using this data in a publication, please cite the following reference: Radau P, Lu Y, Connelly K, Paul G, Dick AJ, Wright GA. “Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.” <em>The MIDAS Journal</em> – Cardiac MR Left Ventricle Segmentation Challenge, http://hdl.handle.net/10380/3070 <br> Data contributor Perry Radau – Sunnybrook Health Sciences Centre, Toronto, Canada. More information The original 2009 LV Segmentation Challenge webpage. Promotional poster for the 2009 LV Segmentation Challenge. The challenge results published in the MIDAS journal. <br>
DOI: 10.6084/m9.figshare.19736443
title: Impact of Covid-19 pandemic and consequent online teaching on medical education: subjective and objective assessment

description: In the current study, we examined the impact of the COVID-19 pandemic and online education on the academic performance of medical students; face-to-face (2019), fully online (2020), and a combination of these methods (2021), collecting data from 324 students. The attached dataset includes characterization of the study participants, self-assessed English skills (reading, writing, speaking, and listening) before and after the course, and academic performance (medical terminology, evidence-based medicine, and final exam) of the students.
DOI: 10.5281/zenodo.6537557
title: ZauraE_2015

description: Data from the Zaura et al. study processed with Nephele pipeline. Citation: Zaura E, Brandt BW, Teixeira de Mattos MJ, Buijs MJ, Caspers MP, Rashid MU, Weintraub A, Nord CE, Savell A, Hu Y, Coates AR, Hubank M, Spratt DA, Wilson M, Keijser BJ, Crielaard W. Same Exposure but Two Radically Different Responses to Antibiotics: Resilience of the Salivary Microbiome versus Long-Term Microbial Shifts in Feces. mBio. 2015 Nov 10;6(6):e01693-15. doi: 10.1128/mBio.01693-15. PMID: 26556275; PMCID: PMC4659469.
DOI: 10.5281/zenodo.6537556
title: ZauraE_2015

description: Data from the Zaura et al. study processed with Nephele pipeline. Citation: Zaura E, Brandt BW, Teixeira de Mattos MJ, Buijs MJ, Caspers MP, Rashid MU, Weintraub A, Nord CE, Savell A, Hu Y, Coates AR, Hubank M, Spratt DA, Wilson M, Keijser BJ, Crielaard W. Same Exposure but Two Radically Different Responses to Antibiotics: Resilience of the Salivary Microbiome versus Long-Term Microbial Shifts in Feces. mBio. 2015 Nov 10;6(6):e01693-15. doi: 10.1128/mBio.01693-15. PMID: 26556275; PMCID: PMC4659469.
DOI: 10.48569/pa-l000062
title: POSSUM early science data sharing

description: The data storage will be in service of the Polarisation Sky Survey of the Universe's Magnetism (POSSUM) survey. This survey is now commencing in an early form on the Australia Square Kilometer Array Pathfinder (ASKAP) telescope --- one of the key projects supported by the Pawsey Centre in the form of the Galaxy supercomputer. The commissioning data from the POSSUM survey comprises image data cubes of currently ~250 GB per field, and this is expected to double over the next year as further bandwidth capability is added to the telescope. Moreover, the raw (pre-imaging) data is of order 3 TB per field. We have a need to share POSSUM commissioning data among the core POSSUM team, comprising about 20 individuals situated in numerous countries situated in Australia, North America, and Europe. We expect to want to share image data for up to210 fields (i.e. 10 TB, at the expanded bandwidth capabilities of ASKAP), and the raw data for several fields (~10 TB). To do so directly from the /group disks where they are now located would required granting numerous researchers access to Galaxy itself, which we wish to avoid, and to leave data on /group, which is already regularly filling to near-capacity.
DOI: 10.48569/pa-l000069
title: Genomics of Oral Cancer and Oral PreCancer Lesions

description: The Oral Oncology Research Project leverages work regarding various bio-markers of head and neck cancer and oral epithelial dysplasia which are either unique to the oral mucosal situation or shared across malignancies in other sites. The program leverages a range of novel technologies to enable diagnosis of oral cancer at its earliest stages, and to ascertain the molecular aspects of surgical margin delineation. The research program a large scale project undertaking exomic and transcriptomic profiling of head and neck cancers and pre-cancers utilizing Next Generation Sequencing. The underlying premise of the program looks at creating a molecular signature for pre-cancerous and cancerous conditions that can be used as a molecular diagnostic or prognostic test to either replace or supplement standard histopathological interpretation of oral epithelial dysplasia and oral squamous cell carcinoma.
DOI: 10.6084/m9.figshare.19743268
title: Tablas para la revista.docx

description: Tablas para la revista
DOI: 10.48569/pa-l000009
title: NGS analysis results

description: The Applied Bioinformatics group generates genomics data and results on the terabyte scale. These datasets are raw genomic reads from population-scale sequencing projects of crops as diverse as canola, chickpea, wheat, but also non-crops such as seagrasses and Amborella. The results of these studies are whole genome assemblies, population diversity markers, gene prediction sets, as well as results of statistical analyses of crop diversity. The creation of this research data collection has been funded from different sources in different years. Since 2008, there are several million dollars from ARC Linkage grants, an Australia-India Strategic Research Fund, an ARC LIEF grant, and three grants from the GRDC. The creation of this research data collection has been funded from different sources in different years. Since 2008, there are several million dollars from ARC Linkage grants (LP140100537, LP130100061, LP130100925 and LP110100200), a $3M Australia-India Strategic Research Fund, a $1M ARC LIEF grant (LE140100061D), a $100k from GRDC (CUR00021) and 2 grants in total of $23k from UWA-UQ BRCA.
DOI: 10.48569/pa-l000059
title: Nearshore Research Facility Data

description: Field data from radar and video from the Nearshore Research Facility. This data is used for verifying models used to predict nearshore beach morphology. Researchers around the world are investigating new ways to extract data from these data sets. We are keen to make this data available to the wider research community.
DOI: 10.48569/pa-l000037
title: BRain Imaging, cognition, Dementia and next generation GEnomics: a Transdisciplinary approach to search for risk and protective factors of neurodegenerative disease

description: Establishing efficient prevention strategies for dementia and Alzheimer's disease (AD) is a major health priority for the coming years as the Australian population ages. Importantly, the pathological processes leading to AD begin many years before clinical diagnosis. However, our understanding of the causes of AD is still rudimentary. Brain imaging measures may capture early structural brain changes, reflecting the underlying pathological processes leading to dementia, many years before diagnosis. We propose to elucidate the genetic and epigenetic determinants of brain structural markers to increase our understanding of the molecular pathological processes leading to AD. Currently, few studies have focussed on examining rare genetic variants, novel brain imaging phenotypes and the methylome. The proposed BRIDGET consortium of 14 richly phenotyped studies, including two Australian cohorts, will examine these questions across the lifespan. We will extend our analyses of identified variants to undertake gene-environment interaction analyses and to examine whether identified variants influence cognitive performance and decline and dementia. Our Australian cohorts will make significant contributions to the BRIDGET consortium and the genetic work undertaken will strengthen the cutting-edge genetic and epigenetic data available for our cohorts enabling us to take the lead on other international ageing and dementia projects. By undertaking this work and using these approaches we will likely provide crucial data on the mechanistic factors that drive resilience and risk for dementia, leading to novel therapeutic targets. It will also assist in the identification of those at risk and who are most likely to benefit from early interventions.
DOI: 10.48569/pa-l000027
title: MODIS L1B Archive

description: This encompasses 14 years of Earth observation data collected from the MODerate resolution Imaging Spectroradiometer (MODIS) instrument. These data are collected on-board 2 satellite platforms named Aqua and Terra. The data is collected in 36 spectral band from approximately 0.3 - 12 micrometers. Daily observations (and mostly twice daily) are performed for every point on Earth making this an extremely valuable environmental record over the last 14 years. A multitude of biophysical products are routinely derived from this Level 1B data. Over the next year these data will be used to generate (primarily) sediment products for the WAMSI dredge node and water quality products for the WAMSI Kimberly Marine Research Program. Time-series analysis will be conducted with these data to establish background conditions, examine trends and to identify hot spots within the biophysical parameters to be derived from these data. These created products will be used for management of the natural resources of the Kimberly and Pilbara regions of Western Australia.The WAMSI dredge node sediment data will primarily be used by other researchers within the WAMSI dredge node. These data will be used to map the spread of spoil dumping and overspill from the dredging operation. It will be used to monitor the inundation of natural resources such as seagrass and corals. It will be used to improve current modelling for future dredging programs. The WAMSI KMRP data will be used for time-series analysis of biophysical parameters such as sea surface temperature, water quality and primary production. These data will be used in the management of natural resource assets within a number of new Kimberley marine parks.
DOI: 10.48569/pa-l000041
title: Land Monitor Research, development of products from Landsat and Sentinel satellite imagery

description: Land Monitor derives products from satellite imagery to support the needs of Western Australian State Government Agencies. The Land Monitor consortium is currently self funding, however the original funding of Land Monitor was provided through the National Dryland Salinity Program (supported by the National Heritage Trust and Western Australian Salinity Action Plan). The products derived from satellite imagery research enable state government agencies to meet their statutory requirements.
DOI: 10.48569/pa-l000005
title: Gorgon OBN Seismic Survey

description: This project is about the scientific analyses of the continuous seismic dataset from the Ocean Bottom Node (OBN) seismic survey acquired over the Gorgon Gas Field. This survey was the first commercial OBN seismic survey of Australia funded by Chevron and its partners. OBN surveys are in general expensive to acquire, but also offers unprecedented opportunities Because of the large spatial extent (over 3000 sampled points), and also continuous nature of the dataset (approx. 70 Tb data), it offers unique scientific opportunities that will be tackled by the members of Deep Earth Imaging FSP (DEI) and wider CSIRO. These activities are in the domains of full waveform inversion, passive seismology, and joint seismic inversion. In each of the activity, the aim is to increase our understanding of the subsurface. Initially, we planned the following activities: 1. Test DEI’s recently developed 2D Bayesian Full Waveform Seismic Inversion algorithm. 2. Use P and S wavefields in a joint Bayesian inversion setting to investigate the feasibility of the approach. 3. Test seismic noise and scattered wavefield cross and autocorrelations to retrieve the response of the earth beneath the array. T 4. Retrieve and use Scholte waves as a constraint for inverting S wave velocity with bathymetry. 5. Check the imprint of regional seismic events originated from Indonesia and surroundings across the seismic array and investigate the use of it for gross-scale deep seismic imaging.