cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23728/b2share.b31d67e6a3a6468db8a3f2939ecbbe4c
title: Harz National Park/Central Germany - Gross Primary Productivity - 2019

description: Monthly Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees.
description: The result are based on an empirical model integrates and linearly correlate the Land Surface Water Index (LSWI) derived from Sentinel-2 images and in situ measurements of shortwave incoming radiation with in situ measurements of GPP. For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562
description: Monthly maps for the year 2019
DOI: 10.5517/ccdc.csd.cc259f75
title: CCDC 2005056: Experimental Crystal Structure Determination

description: Related Article: Isabel N. Hegarty, Samuel J. Bradberry, June I. Lovitt, Jason M. Delente, Niamh Willis-Fox, Ronan Daly, Thorfinnur Gunnlaugsson|2023|Mater. Chem. Front.|7|906|doi:10.1039/D2QM00998F
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.cc28y39n
title: CCDC 2113341: Experimental Crystal Structure Determination

description: Related Article: Dian Alwani Zainuri, Saleh K. Alsaee, Muhamad Fikri Zaini, Siti Noor Farhana Ab Rahman, Mohamad Aizat Abu Bakar, Mundzir Abdullah, Ibrahim Abdul Razak, Suhana Arshad|2023|Physica B: Condensed Matter(Amsterdam)|655|414744|doi:10.1016/j.physb.2023.414744
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.cc2ckdp1
title: CCDC 2191473: Experimental Crystal Structure Determination

description: Related Article: Ranadip Goswami, Arun Karmakar, Sonal Rajput, Manpreet Singh, Subrata Kundu, Subhadip Neogi|2023|Mater. Chem. Front.|7|881|doi:10.1039/D2QM01177H
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.cc2cplk7
title: CCDC 2195499: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cpll8
title: CCDC 2195500: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplnb
title: CCDC 2195502: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplpc
title: CCDC 2195503: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplqd
title: CCDC 2195504: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplrf
title: CCDC 2195505: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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.cc2cplsg
title: CCDC 2195506: Experimental Crystal Structure Determination

description: Related Article: Pavel A. Kumandin, Alexandra S. Antonova, Roman A. Novikov, Kirill A. Vasilyev, Marina A. Vinokurova, Mikhail S. Grigoriev, Anton P. Novikov, Daria K. Polianskaia, Kirill B. Polyanskii, Fedor I. Zubkov|2023|Organometallics|42|218|doi:10.1021/acs.organomet.2c00556
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: 10.23728/b2share.61c4fc815b044ed2a80321fef27c7d32
title: Torgnon, Italy, Gross Primary Productivity 2017/2019

description: 15-day and 30-day Gross Primary Productivity (GPP) estimated across the grassland of Torgnon, Italy.
description: The GPP maps are based on an empirical model that integrates and linearly correlate the RS-based vegetation index derived from Sentinel-2 images and in situ measurements of environmental variable with in situ measurements of GPP. For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562
description: 15-day and 30-day maps from April 2017 to December 2019.
DOI: 10.5281/zenodo.7670653
title: A hybrid 100-m global land cover dataset with Local Climate Zones for WRF

description: This hybrid 100-m CGLC-MODIS-LCZ global land cover dataset is produced for the Weather Research and Forecasting (WRF) model starting from version 4.5. It is based on 1) the Copernicus Global Land Service Land Cover (CGLC, Buchhorn et al., 2021) product resampled to MODIS IGBP classes (CGLC-MODIS), and 2) the global map of Local Climate Zones (LCZ, Demuzere et al., 2022a, b) that describes the urban and built-up land surface. Both the CGLC and LCZ products are available at a 100-m spatial resolution, are representative for the year 2018, and cover -180°W to 180°E and -60°S to 78°N. Remaining areas are filled with the MODIS land cover classes. This dataset has been implemented into the WRF Preprocessing System (WPS) as tiled binary data files with a new GEOGRID table entry to allow WRF/WPS users to flexibly use this dataset in their studies particularly for urban modeling applications. To display the dataset in QGIS, <em>cmap_Qgis_CGLC_MOD_LCZ.txt </em>can be used as a color scheme. For more details, please read the technical documentation: https://doi.org/10.5281/zenodo.7670792.<br> <br> References: <em>Buchhorn, M., Smets, B., Bertels, L., De Roo, B., Lesiv, M., Tsendbazar, N.-E., Li, L., Tarko, A. Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Product User Manual (Dataset v3.0, doc issue 3.4). Product User Manual; Zenodo, Geneve, Switzerland, September 2020; doi: 10.5281/zenodo.3938963<br> <br> Demuzere M, Kittner J, Martilli A, et al. A global map of local climate zones to support earth system modelling and urban-scale environmental science. Earth Syst Sci Data. 2022a;14(8):3835-3873. doi:10.5194/essd-14-3835-2022</em> <em>Demuzere M, Kittner J, Martilli A, et al. (2022). Global map of Local Climate Zones (2.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6364593</em>
DOI: 10.23728/b2share.ebd200fa5dac41dc93a3db74b19087be
title: Hyytiälä, Finland, Gross Primary Productivity 2020/2021

description: 15-day and 30-day Gross Primary Productivity (GPP) estimated across the forest of Hyytiälä, Finland.
description: The GPP maps are based on an empirical model that integrates and linearly correlate the RS-based vegetation index derived from Sentinel-2 images and in situ measurements of environmental variable with in situ measurements of GPP. For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562
description: 15-day and 30-day maps for 2019, 2020, and 2021.
DOI: 10.34965/i9999
title: 20215714
DOI: 10.6084/m9.figshare.22184158
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22184170
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22184170.v1
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22184173
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.
DOI: 10.6084/m9.figshare.22184173.v1
title: Supplementary Material for: Triglycerides and Renal Outcomes according to Albuminuria and in Consideration of other Metabolic Syndrome Components in Diabetic US Veterans

description: Objective: Hypertriglyceridemia, a component of the metabolic syndrome, is a known independent predictor of albuminuria and chronic kidney disease (CKD) in the general population. Previous studies have shown that the relationship of triglycerides with outcomes changes across stages of CKD. Our objective is to examine the association of triglycerides independent of other metabolic syndrome components with renal outcomes in diabetic patients with or without CKD. Research Design and Methods: This retrospective cohort study included diabetic US veteran patients with valid data on triglycerides (TG), estimated glomerular filtration rate (eGFR) and albuminuria (UACR), between fiscal years 2004 to 2006. Using Cox models adjusted for clinical characteristics and laboratory markers, we evaluated the relationship of TG with incident albuminuria (stratified by eGFR category) and based on eGFR (stratified by baseline albuminuria categories). To evaluate the relationship of TG with time to end-stage renal disease (ESRD), we stratified models by baseline CKD stage (eGFR category) and baseline albuminuria stage ascertained at time of TG measurement. Results: In a cohort of 138,675 diabetic veterans, the mean±SD age was 65±11 years old, and included 3% females and 14% African Americans. The cohort also included 28% of patients with non-dialysis dependent CKD (eGFR&lt;60 mL/min/173m2), as well as 28% of patients with albuminuria (≥30 mg/g). The median[IQR] of serum TG was 148[100, 222] mg/dL. We observed a slight positive linear association between TG and incident CKD after adjustment for case-mix and laboratory variables among non-albuminuric and microalbuminuric patients. High TG levels were associated with ESRD in CKD 3A non-albuminuric patients and in CKD 3A and 4/5 in patients with microalbuminuria. Conclusions: In a large cohort, we have shown that elevated TG are associated with all kidney outcomes tested independently of other metabolic syndrome components in diabetic patients with normal eGFR and normal albumin excretion rate, but the association is weaker in some groups of diabetic patients with pre-existing renal complications.