cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26192/rsp4-1721
title: Coffee in metabolic syndrome

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.5281/zenodo.7772677
title: amazona_oratrix_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7772676
title: amazona_oratrix_zanfona_1.fasta.gz

description: .
DOI: 10.26192/70d1-n992
title: Linseed in obesity

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/srpq-2384
title: Psychology, Counselling, and Psychotherapy Consultation Digital Communication Talk Bank

description: This Talk Bank consists of data from real-life psychology, counselling and psychotherapy consultations.  The data consists of audio and video recordings of these consultations and verbatim transcriptions of most of the consultations.  The psychology data primarily consists of consultations between provisionally registered psychologists and their clients with a small number of consultations from fully registered psychologists and their clients.  The counselling and psychotherapy consultations consist of consultations between experienced counsellors and psychotherapists and their clients.  The clients and health professionals in this Talk Bank have given their permission for this data to be stored in this Talk Bank for use in future research projects.  Ethics approval from the University of Southern Queensland Human Research Ethics Committee is required in order to access this data.
DOI: 10.26192/ta90-xs29
title: Functional Foods Research Group : Lindsay Brown

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/fx37-p753
title: Functional Foods Research Group : Sunil Panchal

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/xgj5-x660
title: Radar Climatology of Severe Storms in Australia

description: Severe storms which produce hail and damaging winds are responsible for property damage, loss of life and a major contributor to insurance costs. This project will utilise archived radar data from the Australian Bureau of Meteorology to construct spatial maps of severe storms in Australia and construct a climatology of their modes of occurrence and diurnal cycle. This work will have applications in climate modelling as it will provide observations with which they can be validated. It will also have applications to the insurance industry to assist with insurance premium costing.
DOI: 10.26192/64xy-h083
title: Australian Aboriginal Archaeological Research

description: The archaeology of hunter-gatherers and social contexts of pre-historic change specialising in Australian coastal foragers.
DOI: 10.26192/te1z-wp40
title: PolarBase Mirror

description: Collection of all spectra polarmetrics observations from NARVEL and Espadones. A mirror site for all astronomy researchers in Australia studying Stellar magnetic fields. STARWINDS USQ SRF funded project uses the data.
DOI: 10.26192/pnbg-hx15
title: Functional Foods Research Group

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/j5jq-9087
title: Sorghum in obesity

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/sazr-0182
title: Nanocurcumin

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/sjb3-km88
title: Inflammatory bowel disease

description: Obesity as part of metabolic syndrome is a major lifestyle disorder throughout the world. Current drug treatments for obesity produce small and usually unsustainable decreases in body weight with the risk of major adverse effects. Surgery has been the only treatment producing successful long-term weight loss. As a different but complementary approach, lifestyle modification including the use of functional foods could produce a reliable decrease in obesity with decreased comorbidities. Our research includes functional foods such as berries, vegetables, fibre-enriched grains and beverages such as tea and coffee. Our studies also focus on development of animal models of inflammatory diseases such inflammatory bowel disease, chronic kidney disease and arthritis. These models are then used to investigate the effects of functional foods in attenuation of these disorders.
DOI: 10.26192/w9xc-4a88
title: CRN Project Data on Enhanced practice through connectivity to digital technologies and information

description: The data is on socioeconomic impact of technological devices on education and learning. It also explores the technological effect on farming and economic growth. The data is beneficial to students, teachers and farming community as well as policy makers of the country.
DOI: 10.6084/m9.figshare.22338118.v1
title: ONLINE DATA SUPPLEMENT – APPENDIX S1

description: <strong>ONLINE DATA SUPPLEMENT – APPENDIX S1</strong> <br> <strong>Secondary outcomes; elastic tape application technique, and supplementary figure legends</strong>
DOI: 10.6084/m9.figshare.22338118
title: ONLINE DATA SUPPLEMENT – APPENDIX S1

description: <strong>ONLINE DATA SUPPLEMENT – APPENDIX S1</strong> <br> <strong>Secondary outcomes; elastic tape application technique, and supplementary figure legends</strong>
DOI: 10.34740/kaggle/dsv/5243204
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/5243235
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.6084/m9.figshare.22260319.v2
title: Table A-4 HSD and EDS Self-Care Recommendations

description: Each participant’s self-care regime was assessed throughout the 9-week program. Recommendations were made as needed, as listed in Table A-3.
DOI: 10.5281/zenodo.7768974
title: MUSES Leaf Area Index (LAI) 8-Day Global 250m SIN Grid in 2012

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 250m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2022; Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). This dataset is the MUSES LAI product in 2012. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2011</strong></em> and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.1 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7768973
title: MUSES Leaf Area Index (LAI) 8-Day Global 250m SIN Grid in 2012

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 250m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2022; Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). This dataset is the MUSES LAI product in 2012. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2011</strong></em> and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2013</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.1 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.22260319.v3
title: Table A-4 HSD and EDS Self-Care Recommendations

description: Each participant’s self-care regime was assessed throughout the 9-week program. Recommendations were made as needed, as listed in Table A-3.
DOI: 10.6084/m9.figshare.22260316.v1
title: Table A-2 Summary of Nutrient Functions in HSD and EDS

description: An anti-inflammatory Mediterranean-style diet may provide some support for the chronic pain that is associated with HSD and EDS. Table A-2 introduces some of the nutrients that are found in an anti-inflammatory Mediterranean-style diet that may have importance for mitigating symptoms associated with the conditions.
DOI: 10.15156/bio/sh3580448.08fu
title: SH3580448.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3580449.08fu
title: SH3580449.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3580450.08fu
title: SH3580450.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3580451.08fu
title: SH3580451.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3580452.08fu
title: SH3580452.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3580453.08fu
title: SH3580453.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.