cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5959842
title: Soluble Receptor for Advanced Glycation End-products regulates age-associated Cardiac Fibrosis

description: This record contains raw data related to the article "Soluble Receptor for Advanced Glycation End-products regulates age-associated Cardiac Fibrosis" Myocardial aging increases the cardiovascular risk in the elderly. The Receptor for Advanced Glycation End-products (RAGE) is involved in age-related disorders. The soluble isoform (sRAGE) acts as a scavenger blocking the membrane-bound receptor activation. This study aims at investigating RAGE contribution to age-related cardiac remodeling. We analyzed the cardiac function of three different age groups of female <em>Rage-/-</em> and C57BL/6N (WT) mice: 2.5- (Young), 12- (Middle-age, MA) and 21-months (Old) old. While aging, <em>Rage-/-</em> mice displayed an increase in left ventricle (LV) dimensions compared to age-matched WT animals, with the main differences observed in the MA groups. <em>Rage-/-</em> mice showed higher fibrosis and a larger number of α-Smooth Muscle Actin (SMA)+ cells with age, along with increased expression of pro-fibrotic Transforming Growth Factor (TGF)-β1 pathway components. RAGE isoforms were undetectable in LV of WT mice, nevertheless, circulating sRAGE declined with aging and inversely associated with LV diastolic dimensions. Human cardiac fibroblasts stimulated with sRAGE exhibited a reduction in proliferation, pro-fibrotic proteins and TGF-beta Receptor 1 (TGFbR1) expression and Smad2-3 activation. Finally, sRAGE administration to MA WT animals reduced cardiac fibrosis. Hence, our work shows that RAGE associates with age-dependent myocardial changes and indicates sRAGE as an inhibitor of cardiac fibroblasts differentiation and age-dependent cardiac fibrosis.
DOI: 10.5281/zenodo.5959841
title: Soluble Receptor for Advanced Glycation End-products regulates age-associated Cardiac Fibrosis

description: This record contains raw data related to the article "Soluble Receptor for Advanced Glycation End-products regulates age-associated Cardiac Fibrosis" Myocardial aging increases the cardiovascular risk in the elderly. The Receptor for Advanced Glycation End-products (RAGE) is involved in age-related disorders. The soluble isoform (sRAGE) acts as a scavenger blocking the membrane-bound receptor activation. This study aims at investigating RAGE contribution to age-related cardiac remodeling. We analyzed the cardiac function of three different age groups of female <em>Rage-/-</em> and C57BL/6N (WT) mice: 2.5- (Young), 12- (Middle-age, MA) and 21-months (Old) old. While aging, <em>Rage-/-</em> mice displayed an increase in left ventricle (LV) dimensions compared to age-matched WT animals, with the main differences observed in the MA groups. <em>Rage-/-</em> mice showed higher fibrosis and a larger number of α-Smooth Muscle Actin (SMA)+ cells with age, along with increased expression of pro-fibrotic Transforming Growth Factor (TGF)-β1 pathway components. RAGE isoforms were undetectable in LV of WT mice, nevertheless, circulating sRAGE declined with aging and inversely associated with LV diastolic dimensions. Human cardiac fibroblasts stimulated with sRAGE exhibited a reduction in proliferation, pro-fibrotic proteins and TGF-beta Receptor 1 (TGFbR1) expression and Smad2-3 activation. Finally, sRAGE administration to MA WT animals reduced cardiac fibrosis. Hence, our work shows that RAGE associates with age-dependent myocardial changes and indicates sRAGE as an inhibitor of cardiac fibroblasts differentiation and age-dependent cardiac fibrosis.
DOI: 10.5281/zenodo.5862679
title: uprolls2018-384

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862678
title: uprolls2018-384

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862675
title: uprolls2018-361

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862674
title: uprolls2018-361

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862667
title: uprolls2018-360

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862666
title: uprolls2018-360

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862656
title: uprolls2018-387

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862655
title: uprolls2018-387

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862654
title: uprolls2018-381

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862653
title: uprolls2018-381

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862644
title: uprolls2018-377

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862643
title: uprolls2018-377

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862640
title: uprolls2018-374

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862639
title: uprolls2018-374

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862636
title: uprolls2018-376

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862635
title: uprolls2018-376

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862630
title: uprolls2018-358

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862629
title: uprolls2018-358

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862623
title: uprolls2018-379

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5862622
title: uprolls2018-379

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
DOI: 10.5281/zenodo.5636944
title: Alignment files for coverage benchmarks: Illumina and Nanopore sequencing datasets

description: <strong>cpara-illumina-noseq.bam</strong> and <strong>cpara-ont-noseq.bam</strong>: BAM files produced aligning the raw reads produced respectively by Illumina NextSeq and ONT Nanopore sequencing of an isolate of <em>C. parapsilosis</em> to evaluate the coverage calculations using real datasets.* <strong>HG00258.bam</strong>: Exome sequencing from the 1000 Genomes Project (Clarke et al 2016 https://doi.org/10.1093/nar/gkw829). <strong>panel_01.bam</strong>: targeted sequencing of a Human gene panel of 16 genes.* * Sequences and qualities have been removed
DOI: 10.5281/zenodo.5636943
title: Alignment files for coverage benchmarks: Illumina and Nanopore sequencing datasets

description: <strong>cpara-illumina-noseq.bam</strong> and <strong>cpara-ont-noseq.bam</strong>: BAM files produced aligning the raw reads produced respectively by Illumina NextSeq and ONT Nanopore sequencing of an isolate of <em>C. parapsilosis</em> to evaluate the coverage calculations using real datasets.* <strong>HG00258.bam</strong>: Exome sequencing from the 1000 Genomes Project (Clarke et al 2016 https://doi.org/10.1093/nar/gkw829). <strong>panel_01.bam</strong>: targeted sequencing of a Human gene panel of 16 genes.* * Sequences and qualities have been removed
DOI: 10.5281/zenodo.5913554
title: TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

description: TimeSpec4LULC is a smart open-source global dataset of multi-spectral time series for 29 Land Use and Land Cover (LULC) classes ready to train machine learning models. It was built based on the seven spectral bands of the MODIS sensors at 500 m resolution from 2000 to 2021 (262 observations in each time series). Then, was annotated using spatial-temporal agreement across the 15 global LULC products available in Google Earth Engine (GEE). TimeSpec4LULC contains two datasets: the original dataset distributed over 6,076,531 pixels, and the balanced subset of the original dataset distributed over 29000 pixels. The original dataset contains 30 folders, namely "Metadata", and 29 folders corresponding to the 29 LULC classes. The folder "Metadata" holds 29 different CSV files describing the metadata of the 29 LULC classes. The remaining 29 folders contain the time series data for the 29 LULC classes. Each folder holds 262 CSV files corresponding to the 262 months. Inside each CSV file, we provide the seven values of the spectral bands as well as the coordinates for all the LULC class-related pixels. The balanced subset of the original dataset contains the metadata and the time series data for 1000 pixels per class representative of the globe. It holds 29 different JSON files following the names of the 29 LULC classes. The features of the dataset are: - ".geo": the geometry and coordinates (longitude and latitude) of the pixel center. - "ADM0_Code": the GAUL country code. - "ADM1_Code": the GAUL first-level administrative unit code. - GHM_Index": the average of the global human modification index. - "Products_Agreement_Percentage": the agreement percentage over the 15 global LULC products available in GEE. - "Temporal_Availability_Percentage": the percentage of non-missing values in each band. - "Pixel_TS": the time series values of the seven spectral bands.
description: This research has been supported by DETECTOR (A-RNM-256-UGR18 Universidad de Granada/FEDER), LifeWatch SmartEcomountains (LifeWatch-2019-10-UGR-01 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), BBVA DeepSCOP (Ayudas Fundación BBVA a Equipos de Investigación Científica 2018), Ramón y Cajal Programme (RYC-2015-18136), DeepL-ISCO (A-TIC-458-UGR18 Ministerio de Ciencia e Innovación/FEDER), SMART-DASCI (TIN2017-89517-P Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), BigDDL-CET (P18-FR-4961 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), RESISTE (P18-RT-1927 Consejería de Economía, Conocimiento, y Universidad from the Junta de Andalucía/FEDER), and Ecopotential (641762 European Commission).
description: {"references": ["Khaldi, R., Alcaraz-Segura, D., Guirado, E., Benhammou, Y., El Afia, A., Herrera, F., and Tabik, S. (2021).TimeSpec4LULC: A Global Multispectral Time Series Database for Training LULC Mapping Models with Machine Learning, Earth Syst. Sci. Data Discuss. [preprint]."]}
DOI: 10.5281/zenodo.5020023
title: TimeSpec4LULC: A Smart-Global Dataset of Multi-Spectral Time Series of MODIS Terra-Aqua from 2000 to 2021 for Training Machine Learning models to perform LULC Mapping

description: TimeSpec4LULC is a smart open-source global dataset of multi-spectral time series for 29 Land Use and Land Cover (LULC) classes ready to train machine learning models. It was built based on the seven spectral bands of the MODIS sensors at 500 m resolution from 2000 to 2021 (262 observations in each time series). Then, was annotated using spatial-temporal agreement across the 15 global LULC products available in Google Earth Engine (GEE). TimeSpec4LULC contains two datasets: the original dataset distributed over 6,076,531 pixels, and the balanced subset of the original dataset distributed over 29000 pixels. The original dataset contains 30 folders, namely "Metadata", and 29 folders corresponding to the 29 LULC classes. The folder "Metadata" holds 29 different CSV files describing the metadata of the 29 LULC classes. The remaining 29 folders contain the time series data for the 29 LULC classes. Each folder holds 262 CSV files corresponding to the 262 months. Inside each CSV file, we provide the seven values of the spectral bands as well as the coordinates for all the LULC class-related pixels. The balanced subset of the original dataset contains the metadata and the time series data for 1000 pixels per class representative of the globe. It holds 29 different JSON files following the names of the 29 LULC classes. The features of the dataset are: - ".geo": the geometry and coordinates (longitude and latitude) of the pixel center. - "ADM0_Code": the GAUL country code. - "ADM1_Code": the GAUL first-level administrative unit code. - GHM_Index": the average of the global human modification index. - "Products_Agreement_Percentage": the agreement percentage over the 15 global LULC products available in GEE. - "Temporal_Availability_Percentage": the percentage of non-missing values in each band. - "Pixel_TS": the time series values of the seven spectral bands.
description: This research has been supported by DETECTOR (A-RNM-256-UGR18 Universidad de Granada/FEDER), LifeWatch SmartEcomountains (LifeWatch-2019-10-UGR-01 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), BBVA DeepSCOP (Ayudas Fundación BBVA a Equipos de Investigación Científica 2018), Ramón y Cajal Programme (RYC-2015-18136), DeepL-ISCO (A-TIC-458-UGR18 Ministerio de Ciencia e Innovación/FEDER), SMART-DASCI (TIN2017-89517-P Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), BigDDL-CET (P18-FR-4961 Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), RESISTE (P18-RT-1927 Consejería de Economía, Conocimiento, y Universidad from the Junta de Andalucía/FEDER), and Ecopotential (641762 European Commission).
description: {"references": ["Khaldi, R., Alcaraz-Segura, D., Guirado, E., Benhammou, Y., El Afia, A., Herrera, F., and Tabik, S. (2021).TimeSpec4LULC: A Global Multispectral Time Series Database for Training LULC Mapping Models with Machine Learning, Earth Syst. Sci. Data Discuss. [preprint]."]}
DOI: 10.17028/rd.lboro.19115576
title: Supplementary Information Files for: Does physical exercise improve the capacity for independent living in people with dementia or mild cognitive impairment: an overview of systematic reviews and meta-analyses

description: Supplementary Information Files for: Does physical exercise improve the capacity for independent living in people with dementia or mild cognitive impairment: an overview of systematic reviews and meta-analyses<br>Objective: To summarise existing systematic reviews which assessed the effects of physical exercise on activities of daily living, walking, balance and visual processing in people with dementia or mild cognitive impairment <br>Methods: In this overview of systematic reviews and meta-analyses, seven electronic databases were searched to identify eligible reviews published between January 2015 and April 2021. <br>Results: A total of 30 systematic reviews were identified and included in the overview. The most frequent type of exercise for the intervention group was multimodal exercises. Mind-body exercises, exergames, dance intervention and aerobic exercise were other exercise types. Most of the reviews reported that exercise is significantly effective for improving activities of daily living (SMD 95%CI, from 0.27 to 1.44), walking (SMD 95%CI, from 0.08 to 2.23), balance (SMD 95%CI, from 0.37 to 2.24) and visuospatial function (SMD 95%CI, from 0.16 to 0.51), which are among the most leading determinants of independent living in individuals with dementia or mild cognitive impairment. <br>Conclusion: Evidence has shown that exercise (especially multicomponent exercise programmes including cognitive, physical and multitasking exercises) with sufficient intensity improves the activities of daily living skills. Exercise also improves walking, balance and visual processing, which can provide a more independent life for people with dementia and mild cognitive impairment. Cognitively impaired people should therefore be encouraged to exercise regularly in order to be more independent.<br>
DOI: 10.17028/rd.lboro.19115576.v1
title: Supplementary Information Files for: Does physical exercise improve the capacity for independent living in people with dementia or mild cognitive impairment: an overview of systematic reviews and meta-analyses

description: Supplementary Information Files for: Does physical exercise improve the capacity for independent living in people with dementia or mild cognitive impairment: an overview of systematic reviews and meta-analyses<br>Objective: To summarise existing systematic reviews which assessed the effects of physical exercise on activities of daily living, walking, balance and visual processing in people with dementia or mild cognitive impairment <br>Methods: In this overview of systematic reviews and meta-analyses, seven electronic databases were searched to identify eligible reviews published between January 2015 and April 2021. <br>Results: A total of 30 systematic reviews were identified and included in the overview. The most frequent type of exercise for the intervention group was multimodal exercises. Mind-body exercises, exergames, dance intervention and aerobic exercise were other exercise types. Most of the reviews reported that exercise is significantly effective for improving activities of daily living (SMD 95%CI, from 0.27 to 1.44), walking (SMD 95%CI, from 0.08 to 2.23), balance (SMD 95%CI, from 0.37 to 2.24) and visuospatial function (SMD 95%CI, from 0.16 to 0.51), which are among the most leading determinants of independent living in individuals with dementia or mild cognitive impairment. <br>Conclusion: Evidence has shown that exercise (especially multicomponent exercise programmes including cognitive, physical and multitasking exercises) with sufficient intensity improves the activities of daily living skills. Exercise also improves walking, balance and visual processing, which can provide a more independent life for people with dementia and mild cognitive impairment. Cognitively impaired people should therefore be encouraged to exercise regularly in order to be more independent.<br>
DOI: 10.15482/usda.adc/1524667
title: Ring Nematode Induction of and Sensitivity to Grapevine Phenolic Compounds
DOI: 10.6084/m9.figshare.18586106
title: D0 mm10

description: D0 mm10
DOI: 10.6084/m9.figshare.18586106.v1
title: D0 mm10

description: D0 mm10