cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7608458
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2009

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 500m 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>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2009. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> 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, 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>. (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.7608457
title: MUSES Leaf Area Index (LAI) 8-Day Global 500m SIN Grid in 2009

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 500m 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>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2009. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2008</strong></em><strong>, </strong>and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> 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, 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>. (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: 10.5066/p958ieos
title: Selection and Survival of Greater Sage-Grouse Broods in Mesic Areas of Long Valley, California (2003 - 2018)

description: We evaluated brood-rearing habitat selection and brood survival of greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) in Long Valley, California, an area where the water rights are primarily owned by the city of Los Angeles and water is used locally to irrigate for livestock. This area thus represents a unique balance between the needs of wildlife and people that could increasingly define future water management. In this study, sage-grouse broods moved closer to the edge of mesic areas and used more interior areas during the late brood-rearing period, selecting for greener areas after 1 July. Mesic areas were particularly important during dry years, with broods using areas farther interior than in wet years. Brood survival was also positively influenced by the availability and condition of mesic resources, as indicated by variation in values of normalized difference vegetation index (NDVI), with survival peaking at moderate values of NDVI and just outside the edge but decreasing inside the mesic areas. Our results highlight the importance of quality edge habitat of large mesic areas for sage-grouse to balance habitat selection and survival, particularly during drier years and during the late brood-rearing period, which is a critical period because chick survival has been shown to influence population growth. This study also highlights the implications of large-scale anthropogenic water manipulation, and the balance between local irrigation and water distribution to benefit other regions, from the context of a species of high conservation concern in North American sagebrush ecosystems. These data support the following publication: Severson, J.P., Coates, P.S., Milligan, M.C., O'Neil, S.T., Ricca, M.A., Abele, S.C., Boone, J.D., and Casazza, M.L., In-review. Moisture abundance and proximity mediates seasonal use of mesic habitat and survival of greater sage-grouse broods. Ecological Solutions and Evidence.
DOI: 10.18112/openneuro.ds004465.v1.0.0
title: functional MRI of sleeping pigeons
DOI: 10.5517/ccdc.csd.cc2f34vk
title: CCDC 2237358: Experimental Crystal Structure Determination

description: Related Article: W. Clegg|2023|CSD Communication|||
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.cc2f34wl
title: CCDC 2237359: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f34xm
title: CCDC 2237360: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35b2
title: CCDC 2237373: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35d4
title: CCDC 2237375: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35f5
title: CCDC 2237376: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35g6
title: CCDC 2237377: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35h7
title: CCDC 2237378: Experimental Crystal Structure Determination

description: Related Article: W. Clegg|2023|CSD Communication|||
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.cc2f35k9
title: CCDC 2237380: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2f35mc
title: CCDC 2237382: Experimental Crystal Structure Determination

description: Related Article: W. Clegg|2023|CSD Communication|||
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.cc2f381w
title: CCDC 2237457: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
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.cc2f382x
title: CCDC 2237458: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
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: 10.26182/8c5d-6525
title: GRL_Peng_et_al_2023
DOI: 10.5281/zenodo.7181338
title: LumASe: A Lumbar Vertebra Anatomical Region Segmentation Dataset

description: Lumbar vertebra anatomical region segmentation is crucial in an automated spine processing pipeline. To boost the research in automated lumbar vertebra anatomical region segmentation, we propose a new dataset called LumASe. The entire dataset consists of 663 vertebrae ranging from L1 to L5 which are cropped from lumbar spine CT scans. The data was acquired at ShengJing Hospital of China Medical University using three major manufacturers (Philips, Siemens and Toshiba). Cases with vertebral fractures, metallic implants, bone tumors and foreign materials are excluded. All 3D CT lumbar spine images have corresponding segmentation masks annotated at the voxel level by 3 physicians using the Pair annotation package. In each vertebra, we consider seven anatomical regions as the region of interest including superior articular process (SAP), vertebral body (VB), transverse process (TP), lamina (L) pedicle (P), spinous process (SP) and inferior articular process (IAP).
DOI: 10.5281/zenodo.7181337
title: LumASe: A Lumbar Vertebra Anatomical Region Segmentation Dataset

description: Lumbar vertebra anatomical region segmentation is crucial in an automated spine processing pipeline. To boost the research in automated lumbar vertebra anatomical region segmentation, we propose a new dataset called LumASe. The entire dataset consists of 663 vertebrae ranging from L1 to L5 which are cropped from lumbar spine CT scans. The data was acquired at ShengJing Hospital of China Medical University using three major manufacturers (Philips, Siemens and Toshiba). Cases with vertebral fractures, metallic implants, bone tumors and foreign materials are excluded. All 3D CT lumbar spine images have corresponding segmentation masks annotated at the voxel level by 3 physicians using the Pair annotation package. In each vertebra, we consider seven anatomical regions as the region of interest including superior articular process (SAP), vertebral body (VB), transverse process (TP), lamina (L) pedicle (P), spinous process (SP) and inferior articular process (IAP).
DOI: 10.5281/zenodo.7559372
title: Dataset for Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation

description: This dataset is for the research article titled Thermal Properties of Pressure Core Samples Recovered from Nankai Trough Wells Before and After Methane Hydrate Dissociation published in Earth and Space Science.
DOI: 10.34740/kaggle/dsv/4957485
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.19128135
title: Araneae (spiders) of South America: a synopsis of current knowledge

description: South America is the fourth largest continent on the planet; its birds, mammals, and amphibian's biodiversity is relatively well known, but no outright assessment of the continent spider (Araneae) fauna has been done to date. From January 2019 to August 2020, a recompilation of all spider species registered to occur in South America was conducted based on the data available from the World Spider Catalog [2020. Version 18.5. Natural History Museum Bern. [cited Jan 2019–Aug 2020]]. The assessment revealed that the South American spider fauna comprises 83 families, 1018 genera, and 8302 species, representing 17% of the world spider fauna biodiversity; however, 94% of the spider-specific biodiversity is found nowhere else on earth. A total of 78 species have been introduced in South America, while 30 species were exported from the South American continent to other parts of the world. For all South American families, an overview of the current knowledge is presented: distribution, endemism, taxonomical inconsistency, and problems are discussed. The complete checklist of spiders occurring in SA with distribution given by countries and the complete list of introduced and exported species with details of their native region and current known distribution are presented.
DOI: 10.6084/m9.figshare.19128135.v1
title: Araneae (spiders) of South America: a synopsis of current knowledge

description: South America is the fourth largest continent on the planet; its birds, mammals, and amphibian's biodiversity is relatively well known, but no outright assessment of the continent spider (Araneae) fauna has been done to date. From January 2019 to August 2020, a recompilation of all spider species registered to occur in South America was conducted based on the data available from the World Spider Catalog [2020. Version 18.5. Natural History Museum Bern. [cited Jan 2019–Aug 2020]]. The assessment revealed that the South American spider fauna comprises 83 families, 1018 genera, and 8302 species, representing 17% of the world spider fauna biodiversity; however, 94% of the spider-specific biodiversity is found nowhere else on earth. A total of 78 species have been introduced in South America, while 30 species were exported from the South American continent to other parts of the world. For all South American families, an overview of the current knowledge is presented: distribution, endemism, taxonomical inconsistency, and problems are discussed. The complete checklist of spiders occurring in SA with distribution given by countries and the complete list of introduced and exported species with details of their native region and current known distribution are presented.
DOI: 10.6084/m9.figshare.22029872
title: Thyroid function in causal relation to MRI markers of cerebral small vessel disease: a Mendelian randomization analysis

description: The supplementary data of a article titled " <strong>Thyroid function in causal relation to MRI markers of cerebral small vessel disease: a Mendelian randomization analysis</strong> " <br> <strong>Overview of supplementary tables</strong> Table S1. Summary-level instrument-TSH associations Table S2. Summary-level instrument-FT4 associations Table S3. Summary-level instrument-hypo and hyperthyroidism associations Table S4. Sensitivity analyses of mendelian randomization for the association of thyroid function with CSVD using adverse approaches Table S5. Sensitivity analyses of mendelian randomization for the association of thyroid function with CSVD using multivariable inverse-variance weighted approach Table S6. Mendelian randomization pleiotropy and heterogeneity analyses for the association of thyroid function with CSVD <br> <strong>Overview of supplementary figures</strong> Figure S1. Scatter plots for MR analyses of the associations of stratified TSH levels with the risk of cerebral small vessel disease Figure S2. Scatter plots for MR analyses of the associations of stratified FT4 levels with the risk of cerebral small vessel disease Figure S3. Scatter plots for MR analyses of the associations of hypo and hyperthyroidism with the risk of cerebral small vessel disease Figure S4. MR leave-one-out sensitivity analysis for the associations of thyroid function with the risk of cerebral small vessel disease Figure S5. MR leave-one-out sensitivity analysis for the associations of stratified TSH levels with the risk of cerebral small vessel disease Figure S6. MR leave-one-out sensitivity analysis for the associations of stratified FT4 levels with the risk of cerebral small vessel disease Figure S7. MR leave-one-out sensitivity analysis for the associations of hypo and hyperthyroidism with the risk of cerebral small vessel disease Figure S8. Funnel plots for MR analyses of the associations of thyroid function with the risk of cerebral small vessel disease Figure S9. Funnel plots for MR analyses of the associations of stratified TSH levels with the risk of cerebral small vessel disease Figure S10. Funnel plots for MR analyses of the associations of stratified FT4 levels with the risk of cerebral small vessel disease Figure S11. Funnel plots for MR analyses of the associations of hypo and hyperthyroidism with the risk of cerebral small vessel disease
DOI: 10.6084/m9.figshare.22029872.v1
title: Thyroid function, sex hormones and sexual function: a Mendelian randomization study. Supplementary data

description: The supplementary data of a article titled "Thyroid function, sex hormones and sexual function: a Mendelian randomization study."
DOI: 10.25921/akjq-eq14
title: AMLR_krill-densities_2001-2011
DOI: 10.6084/m9.figshare.22029941
title: Determination of dual clumped isotopes in carbonate using imperial batch extraction device (IBEX) coupled with isotope ratio mass spectrometry and application to reconstruct paleotemperatures record from stalagmite

description: Raw data for maniscript to CG.
DOI: 10.6084/m9.figshare.22029941.v1
title: Determination of dual clumped isotopes in carbonate using imperial batch extraction device (IBEX) coupled with isotope ratio mass spectrometry and application to reconstruct paleotemperatures record from stalagmite

description: Raw data for maniscript to CG.
DOI: 10.6084/m9.figshare.21995099
title: Recent reduction of genetic diversity in markless form of the red-spotted masu salmon Oncorhynchus masou ishikawae in the Ono River, Kyushu, Japan

description: This is the data file (genepop formt) generated in the study of normal from (amago) and and markless form (iwame) of red-spotted masu salmon (<em>Oncorhynchus masou ishikawae</em>) in the Ono River, Japan.
DOI: 10.6084/m9.figshare.21995099.v1
title: Recent reduction of genetic diversity in markless form of the red-spotted masu salmon Oncorhynchus masou ishikawae in the Ono River, Kyushu, Japan

description: This is the data file (genepop formt) generated in the study of normal from (amago) and and markless form (iwame) of red-spotted masu salmon (<em>Oncorhynchus masou ishikawae</em>) in the Ono River, Japan.
DOI: 10.6084/m9.figshare.22029293
title: Original data for Figure 2-4 and Table1.xlsx

description: Original data for Figure 2-4
DOI: 10.6084/m9.figshare.22029293.v2
title: Original data for Figure 2-4 and Table1.xlsx

description: Original data for Figure 2-4