cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7155683
title: MUSES Fractional Vegetation Coverage (FVC) 16-Day 30m Geographic Grid over Beijing Since 1984

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 FVC product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES FVC product is provided on Geographic grid and spans from 1984 to 2021 (continuously updated). It was generated from the MUSES LAI product at 30 m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 115.416599º E – 117.508219º E, 39.441929º N – 41.059283º N Temporal Coverage: 1984 – 2021 Spatial Resolution: 0.000269469º (approximately 30 m) Temporal Resolution: 16 days Projection: Geographic Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7155682
title: MUSES Fractional Vegetation Coverage (FVC) 16-Day 30m Geographic Grid over Beijing Since 1984

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 FVC product at 30 m spatial resolution and 16-day temporal resolution over Beijing. The MUSES FVC product is provided on Geographic grid and spans from 1984 to 2021 (continuously updated). It was generated from the MUSES LAI product at 30 m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 115.416599º E – 117.508219º E, 39.441929º N – 41.059283º N Temporal Coverage: 1984 – 2021 Spatial Resolution: 0.000269469º (approximately 30 m) Temporal Resolution: 16 days Projection: Geographic Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7478843
title: MUSES Normalized Difference Vegetation Index (NDVI) Monthly Global 0.05º Geographic Grid Since 1982

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 NDVI product at 0.05º spatial resolution and monthly temporal resolution. The MUSES NDVI product is provided on Geographic grid and spans from 1982 to 2015 (continuously updated). It was generated from the Land Long-Term Data Record (LTDR) Advanced very high resolution radiometer (AVHRR) daily surface reflectance product (Version 4) using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao <em>et al</em>., 2015; Xiao <em>et al</em>., 2017). The MUSES NDVI product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N Temporal Coverage: 1982 – 2015 Spatial Resolution: 0.05º (approximately 5 km) Temporal Resolution: 1 month Projection: Geographic Data Format: HDF Scale: 0.0001 Valid Range: 0 – 10000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2015). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. <em>Remote Sensing</em>, 7, 9844-9864 Xiao Zhiqiang, <em>et al</em>. (2017). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</em>, 10, 5551-5568 If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7478842
title: MUSES Normalized Difference Vegetation Index (NDVI) Monthly Global 0.05º Geographic Grid Since 1982

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 NDVI product at 0.05º spatial resolution and monthly temporal resolution. The MUSES NDVI product is provided on Geographic grid and spans from 1982 to 2015 (continuously updated). It was generated from the Land Long-Term Data Record (LTDR) Advanced very high resolution radiometer (AVHRR) daily surface reflectance product (Version 4) using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao <em>et al</em>., 2015; Xiao <em>et al</em>., 2017). The MUSES NDVI product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N Temporal Coverage: 1982 – 2015 Spatial Resolution: 0.05º (approximately 5 km) Temporal Resolution: 1 month Projection: Geographic Data Format: HDF Scale: 0.0001 Valid Range: 0 – 10000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2015). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. <em>Remote Sensing</em>, 7, 9844-9864 Xiao Zhiqiang, <em>et al</em>. (2017). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</em>, 10, 5551-5568 If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7319446
title: Dataset related to article "Dose-Dependent Impairment of the Immune Response to the Moderna-1273 mRNA Vaccine by Mycophenolate Mofetil in Patients with Rheumatic and Autoimmune Liver Diseases"

description: This record contains data related to article "Dose-Dependent Impairment of the Immune Response to the Moderna-1273 mRNA Vaccine by Mycophenolate Mofetil in Patients with Rheumatic and Autoimmune Liver Diseases" The purpose of this study was to evaluate the efficacy and safety of the Moderna-1273 mRNA vaccine for SARS-CoV-2 in patients with immune-mediated diseases under different treatments. Anti-trimeric spike protein antibodies were tested in 287 patients with rheumatic or autoimmune diseases (10% receiving mycophenolate mofetil, 15% low-dose glucocorticoids, 21% methotrexate, and 58% biologic/targeted synthetic drugs) at baseline and in 219 (76%) 4 weeks after the second Moderna-1273 mRNA vaccine dose. Family members or caretakers were enrolled as the controls. The neutralizing serum activity against SARS-CoV-2-G614, alpha, and beta variants in vitro and the cytotoxic T cell response to SARS-CoV-2 peptides were determined in a subgroup of patients and controls. Anti-SARS-CoV-2 antibody development, i.e., seroconversion, was observed in 69% of the mycophenolate-treated patients compared to 100% of both the patients taking other treatments and the controls (p &amp;lt; 0.0001). A dose-dependent impairment of the humoral response was observed in the mycophenolate-treated patients. A daily dose of &amp;gt;1 g at vaccination was a significant risk factor for non-seroconversion (ROC AUC 0.89, 95% CI 0.80-98, p &amp;lt; 0.0001). Moreover, in the seroconverted patients, a daily dose of &amp;gt;1 g of mycophenolate was associated with significantly lower anti-SARS-CoV-2 antibody titers, showing slightly reduced neutralizing serum activity but a comparable cytotoxic response compared to other immunosuppressants. In non-seroconverted patients treated with mycophenolate at a daily dose of &amp;gt;1 g, the cytotoxic activity elicited by viral peptides was also impaired. Mycophenolate treatment affects the Moderna-1273 mRNA vaccine immunogenicity in a dose-dependent manner, independent of rheumatological disease.
DOI: 10.5281/zenodo.7319447
title: Dataset related to article "Dose-Dependent Impairment of the Immune Response to the Moderna-1273 mRNA Vaccine by Mycophenolate Mofetil in Patients with Rheumatic and Autoimmune Liver Diseases"

description: This record contains data related to article "Dose-Dependent Impairment of the Immune Response to the Moderna-1273 mRNA Vaccine by Mycophenolate Mofetil in Patients with Rheumatic and Autoimmune Liver Diseases" The purpose of this study was to evaluate the efficacy and safety of the Moderna-1273 mRNA vaccine for SARS-CoV-2 in patients with immune-mediated diseases under different treatments. Anti-trimeric spike protein antibodies were tested in 287 patients with rheumatic or autoimmune diseases (10% receiving mycophenolate mofetil, 15% low-dose glucocorticoids, 21% methotrexate, and 58% biologic/targeted synthetic drugs) at baseline and in 219 (76%) 4 weeks after the second Moderna-1273 mRNA vaccine dose. Family members or caretakers were enrolled as the controls. The neutralizing serum activity against SARS-CoV-2-G614, alpha, and beta variants in vitro and the cytotoxic T cell response to SARS-CoV-2 peptides were determined in a subgroup of patients and controls. Anti-SARS-CoV-2 antibody development, i.e., seroconversion, was observed in 69% of the mycophenolate-treated patients compared to 100% of both the patients taking other treatments and the controls (p &amp;lt; 0.0001). A dose-dependent impairment of the humoral response was observed in the mycophenolate-treated patients. A daily dose of &amp;gt;1 g at vaccination was a significant risk factor for non-seroconversion (ROC AUC 0.89, 95% CI 0.80-98, p &amp;lt; 0.0001). Moreover, in the seroconverted patients, a daily dose of &amp;gt;1 g of mycophenolate was associated with significantly lower anti-SARS-CoV-2 antibody titers, showing slightly reduced neutralizing serum activity but a comparable cytotoxic response compared to other immunosuppressants. In non-seroconverted patients treated with mycophenolate at a daily dose of &amp;gt;1 g, the cytotoxic activity elicited by viral peptides was also impaired. Mycophenolate treatment affects the Moderna-1273 mRNA vaccine immunogenicity in a dose-dependent manner, independent of rheumatological disease.
DOI: 10.5281/zenodo.7479028
title: MUSES Normalized Difference Vegetation Index (NDVI) 8-Day Global 0.05º Geographic Grid Since 1982

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 NDVI product at 0.05º spatial resolution and 8-day temporal resolution. The MUSES NDVI product is provided on Geographic grid and spans from 1982 to 2015 (continuously updated). It was generated from the Land Long-Term Data Record (LTDR) Advanced very high resolution radiometer (AVHRR) daily surface reflectance product (Version 4) using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao <em>et al</em>., 2015; Xiao <em>et al</em>., 2017). The MUSES NDVI product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N Temporal Coverage: 1982 – 2015 Spatial Resolution: 0.05º (approximately 5 km) Temporal Resolution: 8 days Projection: Geographic Data Format: HDF Scale: 0.0001 Valid Range: 0 – 10000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2015). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. <em>Remote Sensing</em>, 7, 9844-9864 Xiao Zhiqiang, <em>et al</em>. (2017). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</em>, 10, 5551-5568 If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7479027
title: MUSES Normalized Difference Vegetation Index (NDVI) 8-Day Global 0.05º Geographic Grid Since 1982

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 NDVI product at 0.05º spatial resolution and 8-day temporal resolution. The MUSES NDVI product is provided on Geographic grid and spans from 1982 to 2015 (continuously updated). It was generated from the Land Long-Term Data Record (LTDR) Advanced very high resolution radiometer (AVHRR) daily surface reflectance product (Version 4) using a temporally continuous vegetation indices-based land-surface reflectance reconstruction (VIRR) method (Xiao <em>et al</em>., 2015; Xiao <em>et al</em>., 2017). The MUSES NDVI product is spatially complete and temporally continuous. <strong>Dataset Characteristics:</strong> Spatial Coverage: 180º W – 180º E, 90º S – 90º N Temporal Coverage: 1982 – 2015 Spatial Resolution: 0.05º (approximately 5 km) Temporal Resolution: 8 days Projection: Geographic Data Format: HDF Scale: 0.0001 Valid Range: 0 – 10000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2015). Reconstruction of Satellite-Retrieved Land-Surface Reflectance Based on Temporally-Continuous Vegetation Indices. <em>Remote Sensing</em>, 7, 9844-9864 Xiao Zhiqiang, <em>et al</em>. (2017). Reconstruction of Long-Term Temporally Continuous NDVI and Surface Reflectance From AVHRR Data. <em>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</em>, 10, 5551-5568 If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.21782072.v1
title: Supplementary Material for: Subjective Health and Physical-Activity Engagement across Adulthood: Distinguishing between Within-Person and Between-Person Associations

description: <b><i>Introduction:</i></b> It is assumed that age-related increases in loss (e.g., health decline) motivate behavioral changes (e.g., prevention of health decline) across adulthood. This assumption has rarely been directly tested in empirical research, and the current study seeks to fill this gap. <b><i>Methods:</i></b> By performing random intercept cross-lagged panel model and multilevel modeling analyses on a three-wave longitudinal dataset from the Midlife in the United States survey (<i>N</i> = 7,108; 51.6% female; between 20 and 75 years at T1), we examined the between-person and the within-person associations between subjective health and engagement in physical activity. Chronic conditions, difficulty in performing daily activities, and demographic variables were controlled for. <b><i>Results:</i></b> At the between-person level, subjective (i.e., self-rated) health was positively associated with physical activity in the whole sample and the older subgroup (T1 age &gt;55 years), but not in the younger subgroup (T1 age &lt;35 years). At the within-person level, the association between subjective health and subsequent physical activity was negative in the whole sample and the older subgroup, but nonsignificant (between T1 and T2) or positive (between T2 and T3) in the younger subgroup. <b><i>Discussion:</i></b> This study revealed various associations between subjective health and engagement in physical activity across levels (the within- vs. between-person level) and across age groups (younger vs. older group). The finding contributes to a better understanding of people’s health behavior in reaction to health decline at different ages. It also supports the proposition that age-related intraindividual increases in losses (e.g., health decline) motivate behaviors that counteract such losses (e.g., physical activity that protects health).
DOI: 10.34740/kaggle/dsv/4798778
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.21803259.v1
title: Appendix_F on SCW.pdf

description: The appendix to the paper " The Structural Complexity of Chinese Words and Its Relationship with Word Frequency"
DOI: 10.6084/m9.figshare.21803259
title: Appendix_F on SCW.pdf

description: The appendix to the paper " The Structural Complexity of Chinese Words and Its Relationship with Word Frequency"
DOI: 10.6084/m9.figshare.20438856
title: Sequence alignment of PHRs and SPXs

description: <strong>Sequence alignment of PHRs and SPXs</strong> <br> <strong>Correspondence:</strong> <strong>Xianqing Jia</strong>, Chinese Academy of Agricultural Sciences Jiaxq.nju@gmail.com <br> <strong>Keke Yi</strong>, Chinese Academy of Agricultural Sciences yikeke@gmail.com
DOI: 10.6084/m9.figshare.20438856.v1
title: Sequence alignment of PHRs and SPXs

description: <strong>Sequence alignment of PHRs and SPXs</strong> <br> <strong>Correspondence:</strong> <strong>Xianqing Jia</strong>, Chinese Academy of Agricultural Sciences Jiaxq.nju@gmail.com <br> <strong>Keke Yi</strong>, Chinese Academy of Agricultural Sciences yikeke@gmail.com
DOI: 10.5281/zenodo.7498900
title: Test

description: Jeu de données listant xxxx
DOI: 10.5281/zenodo.7498899
title: Test

description: Jeu de données listant xxxx
DOI: 10.6084/m9.figshare.19316651
title: Bisexual stereotypes in clinical evaluation

description: Dataset from one experiment with 230 psychotherapists about bisexual stereotypes in clinical evaluation
DOI: 10.5281/zenodo.7498888
title: Legowo Planting System

description: This is extended data of the assesment of legowo planting system and its counterpart in Southeast Sulawesi. Indonesia
DOI: 10.34808/2nab-0624
title: UAV Survey Images - 3D Model - Allegory of science figure - on the tower of the main building of Gdansk University of Technology - MP1

description: Dataset description: Raw images from photogrammetric survey. Object: Golden figure at the top of the main bulding of Gdansk University Of TechnologyLocation: Gdansk, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: CircleTarget Product: 3D ModelDate: 13.10.2018Direct georeferencing: yesMetadata data: yes/GPSGCP: NoGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage dimensions: 4000x3000 pixelsSensor size: 6.16 mmNumber of photos: 76 Example photo: Camera positions
DOI: 10.5281/zenodo.7498783
title: The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.

description: <b>The Unofficial Guide on applying NCN Open Access rules to GitHub repositories. <i>Some</i> HTML code can be used here.</b>
description: This research was funded in part by the National Science Centre in Poland (grant number 2020/39/B/NZ2/03127 to F.S.)
DOI: 10.5281/zenodo.7498857
title: The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.

description: <b>The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.</b> <i>Some</i> HTML code can be used here.
description: This research was funded in part by the National Science Centre in Poland (grant number 2020/39/B/NZ2/03127 to F.S.)
DOI: 10.5281/zenodo.7498782
title: The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.

description: <b>The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.</b> <i>Some</i> HTML code can be used here.
description: This research was funded in part by the National Science Centre in Poland (grant number 2020/39/B/NZ2/03127 to F.S.)
DOI: 10.5281/zenodo.7499004
title: The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.

description: <b>The Unofficial Guide on applying NCN Open Access rules to GitHub repositories.</b> <i>Some</i> HTML code can be used here.
description: This research was funded in part by the National Science Centre in Poland (grant number 2020/39/B/NZ2/03127 to F.S.)
DOI: 10.34808/62a8-tb14
title: Response surface methodology for lignocellulosic biomass pre-treatment data optimisation

description: The dataset contains results of several series of data optimised with the application of Box Behnken Design. The data were converted from miniTab software to doc files
DOI: 10.34808/mx7n-ay84
title: Generation of inhibitory compounds during pre-treatment of lignocellulosic biomass

description: Dataset contains calibration curves and typical resultsa obtained during biomass pre-treatment. Data are converted from digital raw files to xlsx files