cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7583687
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2006

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 1km 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 2006. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2005</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1km 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.7583686
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2006

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 1km 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 2006. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2005</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1km 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: 10.48704/ird_y2mgni2
title: Y2MgNi2
DOI: 10.48704/ird_mgy
title: MgY
DOI: 10.6073/pasta/8150d10203bbc81daf1b27d1a2734816
title: Long-term monitoring of macroinvertebrates in Sycamore Creek, Arizona, USA (2010-2019)

description: ## overview The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). ## research objectives This dataset was collected to understand two questions: (1) how does inter- and intra-annual variability and directional change in winter precipitation and hence streamflow extremes influence macroinvertebrate community structure, and (2) how do these patterns differ in wetland- and gravel-dominated reaches.
DOI: 10.5517/ccdc.csd.cc27fjw3
title: CCDC 2068595: Experimental Crystal Structure Determination

description: Related Article: Yangyang Ma, Kuantao Mao, Yuanjin Chen, Leiyang Lv, Zhiping Li|2022|Tetrahedron Lett.|100|153902|doi:10.1016/j.tetlet.2022.153902
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.cc2d4vbr
title: CCDC 2209194: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Zhu, Huai-Dong Pan, Qing-Hu Teng, Fu-Pei Liang, Kai Wang|2023|Polyhedron|232|116271|doi:10.1016/j.poly.2022.116271
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.cc2d4ksx
title: CCDC 2208929: Experimental Crystal Structure Determination

description: Related Article: Vladimir V. Parakhin, Galina V. Pokhvisneva, Tatyana V. Ternikova, Nina I. Shlykova, Aida I. Samigullina, Sergei V. Nikitin, Pavel B. Gordeev, Gennady A. Smirnov, Tatyana S. Kon’kova, David B. Lempert, Alla N. Pivkina|2023|New J.Chem.|47|2444|doi:10.1039/D2NJ05332B
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.cc2bl98j
title: CCDC 2162537: Experimental Crystal Structure Determination

description: Related Article: Long Sun, Hong-Yan Zhang, Fu-Qiang Zhang, Li Wang, Xian-Ming Zhang|2022|Mater. Chem. Front.|7|128|doi:10.1039/D2QM00810F
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.cc2d7vfy
title: CCDC 2212080: Experimental Crystal Structure Determination

description: Related Article: Xin Yuan, Yelong Lei, Zhicheng Fu, Jiaxi Xu|2023|New J.Chem.|47|2431|doi:10.1039/D2NJ05558A
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.cc2d8h5c
title: CCDC 2212692: Experimental Crystal Structure Determination

description: Related Article: Jing Ru, Ying-Xue Wang, Yi-Xuan Shi, Qiang Guo, Yan-Lan Wang, Chun-Lin Ma|2023|Polyhedron|232|116278|doi:10.1016/j.poly.2022.116278
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.cc2db21w
title: CCDC 2214207: Experimental Crystal Structure Determination

description: Related Article: Aprajita, Mukesh Choudhary|2023|Polyhedron|232|116296|doi:10.1016/j.poly.2023.116296
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.cc2dbr7r
title: CCDC 2214864: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2dbr8s
title: CCDC 2214865: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2dbr9t
title: CCDC 2214866: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2dbrbv
title: CCDC 2214867: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2dbrcw
title: CCDC 2214868: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2dc6nn
title: CCDC 2215311: Experimental Crystal Structure Determination

description: Related Article: M. Toyama, N. Nagao|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|1189|doi:10.1107/S2056989022010258
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: 10.48704/ird_cacd5
title: CaCd5
DOI: 10.48704/ird_caag5
title: CaAg5
DOI: 10.48704/ird_capd5_cacu5
title: CaPd5_CaCu5
DOI: 10.48704/ird_catl3
title: CaTl3
DOI: 10.48704/ird_inna
title: InNa
DOI: 10.48704/ird_natl
title: NaTl
DOI: 10.48704/ird_ycoga5_pd5tlas
title: YCoGa5_Pd5TlAs
DOI: 10.48704/ird_yni2_alb2
title: YNi2_AlB2
DOI: 10.48704/ird_yni2
title: YNi2
DOI: 10.6084/m9.figshare.21878442.v1
title: Database_asympto sympto malaria.xlsx

description: These are data of children aged 3-180 months enrolled in Lastourville, the capital of the Mulundu department, a rural area of south-eastern Gabon. Children were classified in three groups: uninfected children (healthy controls), asymptomatic or symptomatic children infected with<em> P. falciparum</em> after diagnosis.
DOI: 10.6084/m9.figshare.21878442
title: Database_asympto sympto malaria.xlsx

description: These are data of children aged 3-180 months enrolled in Lastourville, the capital of the Mulundu department, a rural area of south-eastern Gabon. Children were classified in three groups: uninfected children (healthy controls), asymptomatic or symptomatic children infected with<em> P. falciparum</em> after diagnosis.
DOI: 10.6084/m9.figshare.21980333
title: Dataset_Evolution of nests in Tyrannida.xlsx

description: Dataset for 466 species in Tyrannida.
DOI: 10.6084/m9.figshare.21980333.v1
title: Dataset_Evolution of nests in Tyrannida.xlsx

description: Dataset for 466 species in Tyrannida.
DOI: 10.5066/p9412ryv
title: Arrowweed (Pluchea sericea) morphological and physiological response data from a greenhouse inundation experiment

description: These data were collected to evaluate if arrowweed (Pluchea sericea) individuals and genotypes collected from across a 5.3 degree Celsius temperature gradient and grown in a common greenhouse environment had different physiological and morphological responses to inundation. The objectives of the study were to assess if 1) individuals from climatically different provenances differ in their morphological and physiological phenotypes, 2) individuals from climatically different provenances differ in their response to inundation, and 3) phenotypes and inundation responses are partially controlled by genotype. These data represent measurements made on 248 plants that were grown in a greenhouse and, also in a greenhouse subjected to different inundation depths for three months. These data were collected at Northern Arizona University in the Research Greenhouse complex, a laboratory in the Biology Building, or the Genetics Core Facility in Flagstaff, AZ. Greenhouse measurements were made in June-September 2019. Laboratory and genetics data were collected between Sept 2019 and April 2021. These data were collected by the USGS Grand Canyon Monitoring and Research Center and Northern Arizona University and represent a combination of direct plant measurements and simple sequence repeat (SSR, microsatellite) genetic data. These data can be used to compare the individual plant growth and phenotypes, examine response to inundation in Pluchea sericea, get trait estimates for P. sericea in a well-watered environment, and estimate the contribution of genotype to plant phenotype and environmental response.
DOI: 10.6084/m9.figshare.21938324
title: Data from Scopus

description: Data from scopus. Keywords, Open Science, innovation, intellectual property
DOI: 10.6084/m9.figshare.21938324.v1
title: Data from Scopus

description: Data from scopus. Keywords, Open Science, innovation, intellectual property
DOI: 10.5066/p99egd2e
title: Bioclimatic suitability for 11 dominant Colorado Plateau perennial grass species (ver. 2.0, November 2022)

description: These data were compiled to represent the distribution of environmental conditions with recognized importance to perennial grasses in dryland areas of the western U.S. Objective(s) of our study were to &hellip; evaluate how those environmental drivers are related to perennial grass distributions and use the results to assess how perennial grass distributions may shift in response to future climate change. These data represent ecological niche models for 11 perennial grass species that are important components of grasslands on the Colorado Plateau. Data are provided as rasters (tif format) with each containing data about future change in climatic suitability for a give species, future time period, representative concentration pathway (RCP), and ensemble level. Ensemble levels are derived from 17 different climate models and include the 10th, 50th and 90% percentile among those 17 values for each species, time period, and RCP. These data were collected and analyzed in Flagstaff, AZ, and Fort Collins, CO. These data were collected/created by a collaborative research team from the USGS Southwest Biological Science Center and Colorado State University. These data can be useful to other researchers for evaluating how climate change will alter the climatic and edaphic suitability for each species throughout the 21st century. These are data from ecological niche models for 11 perennial grass species that are important components of grasslands on the Colorado Plateau. Data are provided as rasters (tif format) with each containing data about future change in climatic suitability for a give species, future time period, representative concentration pathway (RCP), and ensemble level. Ensemble levels are derived from 17 different climate models (see publication for full details) and include the 10th, 50th and 90% percentile among those 17 values for each species, time period, and RCP.
DOI: 10.5066/p9figkfm
title: Pinyon-juniper basal area, climate and demographics data from National Forest Inventory plots and projected under future density and climate conditions

description: These data were compiled to help understand how climate change may impact dryland pinyon-juniper ecosystems in coming decades, and how resource management might be able to minimize those impacts. Objective(s) of our study were to model the demographic rates of PJ woodlands to estimate the areas that may decline in the future vs. those that will be stable. We quantified populations growth rates across broad geographic areas, and identified the relative roles of recruitment and mortality in driving potential future changes in population viability in 5 tree species that are major components of these dry forests. We used this demographic model to project pinyon-juniper population stability under future climate conditions, assess how robust [...]
DOI: 10.5517/ccdc.csd.cc2byhvn
title: CCDC 2173312: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Liu, Qi-Ming Guo, Bin Liu, Teng-Hui Jin, Zi-Hao Zhang, Shijing Lin, Yin-Shan Meng|2023|New J.Chem.|47|2324|doi:10.1039/D2NJ04495A
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.cc29bd68
title: CCDC 2125149: Experimental Crystal Structure Determination

description: Related Article: Junhong Li, Lisha Yuan, Qinrong Yang, Ningjin Zhang, Xiaoping Bao|2023|New J.Chem.|47|2343|doi:10.1039/D2NJ04412A
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.cc2d5bgd
title: CCDC 2209663: Experimental Crystal Structure Determination

description: Related Article: Ran Xu, Meng-Meng Lun, Tie Zhang, Jie Li, Ke Zou, Yi Zhang, Da-Wei Fu, Qiang Guo|2023|New J.Chem.|47|2405|doi:10.1039/D2NJ04939B
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.