cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7825498
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2000

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2000. <em>Please </em><em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2001</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2000 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7825497
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2000

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2000. <em>Please </em><em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2001</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2000 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7821835
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2001

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2001. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2000</strong></em>, and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2002</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2001 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7821834
title: MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2001

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 FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous. This dataset is the MUSES FAPAR product in 2001. <em>Please <strong>click here</strong> to download the MUSES FAPAR product <strong>in 2000</strong></em>, and <em><strong>click here</strong> to download the MUSES FAPAR product <strong>in 2002</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2001 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal 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 al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015. Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018. Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7827225
title: Preprocessed auditory task-fMRI files of common marmoset

description: Preprocessed auditory task-fMRI files of common marmoset. Original data was acquired by https://doi.org/10.1016/j.jneumeth.2022.109737 Related github repository is https://github.com/takuto-okuno-riken/oku2023dmn
DOI: 10.5281/zenodo.7827224
title: Preprocessed auditory task-fMRI files of common marmoset

description: Preprocessed auditory task-fMRI files of common marmoset. Original data was acquired by https://doi.org/10.1016/j.jneumeth.2022.109737 Related github repository is https://github.com/takuto-okuno-riken/oku2023dmn
DOI: 10.6084/m9.figshare.22632130
title: Data for analysis, 2000 to 2020 (semi annual).xlsx

description: This data has been submitted with regards to an article for publication, titled " Sustainability of Renewable Energy production among developing and middle-income countries".
DOI: 10.6084/m9.figshare.22632130.v1
title: Data for analysis, 2000 to 2020 (semi annual).xlsx

description: This data has been submitted with regards to an article for publication, titled " Sustainability of Renewable Energy production among developing and middle-income countries".
DOI: 10.6084/m9.figshare.22632265
title: Data.xlsx

description: A total of 100 g portions of cantaloupe, apples, and celery were inoculated with <em>L. monocytogenes</em> and treated with 100–1000 μg/mL of GSE for 5 or 15 min. The log reduction is available in the data set.
DOI: 10.6084/m9.figshare.22632265.v1
title: Data.xlsx

description: A total of 100 g portions of cantaloupe, apples, and celery were inoculated with <em>L. monocytogenes</em> and treated with 100–1000 μg/mL of GSE for 5 or 15 min. The log reduction is available in the data set.
DOI: 10.6084/m9.figshare.22631374
title: Assessment of work-related stress and burnout among clinical research occupations

description: The data correspond to the information obtained from the survey on work stress as well as burnout syndrome.
DOI: 10.5517/ccdc.csd.cc2cjzd9
title: CCDC 2191061: Experimental Crystal Structure Determination

description: Related Article: Artem Mikhailov, Krzysztof A. Konieczny, Maria Gladysheva, Pavel Plyusnin, Sébastien Pillet, Dominik Schaniel|2023|Inorg.Chem.|62|5531|doi:10.1021/acs.inorgchem.3c00028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cjzfb
title: CCDC 2191062: Experimental Crystal Structure Determination

description: Related Article: Artem Mikhailov, Krzysztof A. Konieczny, Maria Gladysheva, Pavel Plyusnin, Sébastien Pillet, Dominik Schaniel|2023|Inorg.Chem.|62|5531|doi:10.1021/acs.inorgchem.3c00028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cjzgc
title: CCDC 2191063: Experimental Crystal Structure Determination

description: Related Article: Artem Mikhailov, Krzysztof A. Konieczny, Maria Gladysheva, Pavel Plyusnin, Sébastien Pillet, Dominik Schaniel|2023|Inorg.Chem.|62|5531|doi:10.1021/acs.inorgchem.3c00028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cjzhd
title: CCDC 2191064: Experimental Crystal Structure Determination

description: Related Article: Artem Mikhailov, Krzysztof A. Konieczny, Maria Gladysheva, Pavel Plyusnin, Sébastien Pillet, Dominik Schaniel|2023|Inorg.Chem.|62|5531|doi:10.1021/acs.inorgchem.3c00028
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f2rq0
title: CCDC 2236982: Experimental Crystal Structure Determination

description: Related Article: M. Angeles Alvarez, M. Esther García, Daniel García-Vivó, Miguel A. Ruiz, Patricia Vega|2023|Inorg.Chem.|62|5677|doi:10.1021/acs.inorgchem.3c00230
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22346302
title: Narrative Synthesis on Regulations for Weight Loss Supplements in Australia, the United States and the United Kingdom

description: The document contains data of a grey literature search performed through advanced Google search to obtain articles on weight loss supplement policies in Australia, USA, and UK. The search using Google engine required a specified framework for the search to be processed. Unlike database searches, Google search does not accept truncation, has a limit of 32 words per search string, and nesting of keywords of similar phrases. Similar keywords to the peer-reviewed literature search were used with some keywords excluded to meet the requirement of 32 keyword limit (Refer to Appendix B of article). The Google Advanced search option was also used to select specific government domains for each country (.gov.au, .gov, and .gov.uk) to return results in the government databases relevant to the search terms. For the process to obtain grey literature, a maximum of 30 references for each domain was selected and each reference was further investigated to identify relevant cross-reference literature. A customised Excel spreadsheet was then used to perform full-text screening by two reviewers and a third reviewer to resolve any conflicts. After conflicts were resolved, a total of 28 grey literature articles were selected to be included for the systematic review
DOI: 10.6084/m9.figshare.22346302.v1
title: Narrative Synthesis on Regulations for Weight Loss Supplements in Australia, the United States and the United Kingdom

description: The document contains data of a grey literature search performed through advanced Google search to obtain articles on weight loss supplement policies in Australia, USA, and UK. The search using Google engine required a specified framework for the search to be processed. Unlike database searches, Google search does not accept truncation, has a limit of 32 words per search string, and nesting of keywords of similar phrases. Similar keywords to the peer-reviewed literature search were used with some keywords excluded to meet the requirement of 32 keyword limit (Refer to Appendix B of article). The Google Advanced search option was also used to select specific government domains for each country (.gov.au, .gov, and .gov.uk) to return results in the government databases relevant to the search terms. For the process to obtain grey literature, a maximum of 30 references for each domain was selected and each reference was further investigated to identify relevant cross-reference literature. A customised Excel spreadsheet was then used to perform full-text screening by two reviewers and a third reviewer to resolve any conflicts. After conflicts were resolved, a total of 28 grey literature articles were selected to be included for the systematic review
DOI: 10.48579/pro/4thwv2
title: multiCAFE Protocol, data sample, analysis tools and 3D experimental cages

description: Set of tools and data samples illustrating how to measure the feeding behavior in insects like Drosophila melanogaster, the fruit fly. Individual flies contained in small 3D printed cages are given access to calibrated capillaries containing a colored liquid. A webcam is used to take images at regular intervals. The stack of images is then analyzed to extract how much liquid is ingested by the flies. This collection regroup files describing how to run such experiments (called multiCAFE), how to analyze the images and stl files to 3D-print the cages used to collect data. This collection is associated with a STAR Protocols manuscript in preparation.
DOI: 10.6084/m9.figshare.25054976
title: WAI Tele-Reha deidentified data

description: This study developed and validated the German language Working Alliance Inventory (WAI) Tele-Reha.
DOI: 10.6084/m9.figshare.25054976.v1
title: WAI Tele-Reha deidentified data

description: This study developed and validated the German language Working Alliance Inventory (WAI) Tele-Reha.
DOI: 10.15468/dl.c9rk84
title: Occurrence Download

description: A dataset containing 11046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Oregon Bee Atlas Survey Data: 2018"
 ]
}

 The dataset includes 11046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021648-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh333638.07fu
title: SH333638.07FU

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/sh333639.07fu
title: SH333639.07FU

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/sh1697802.08fu
title: SH1697802.08FU

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.