cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cpv97
title: CCDC 2195739: Experimental Crystal Structure Determination

description: Related Article: Joshua L. Zhu, Cullen R. Schull, Anthony T. Tam, Ángel Rentería-Gómez, Achyut Ranjan Gogoi, Osvaldo Gutierrez, Karl A. Scheidt|2023|J.Am.Chem.Soc.|145|1535|doi:10.1021/jacs.2c12845
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.cc2cpvb8
title: CCDC 2195740: Experimental Crystal Structure Determination

description: Related Article: Joshua L. Zhu, Cullen R. Schull, Anthony T. Tam, Ángel Rentería-Gómez, Achyut Ranjan Gogoi, Osvaldo Gutierrez, Karl A. Scheidt|2023|J.Am.Chem.Soc.|145|1535|doi:10.1021/jacs.2c12845
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.cc2czlsr
title: CCDC 2204155: Experimental Crystal Structure Determination

description: Related Article: Christopher Z. Ye, Iker Del Rosal, Michael A. Boreen, Erik T. Ouellette, Dominic R. Russo, Laurent Maron, John Arnold, Clément Camp|2023|Chemical Science|14|861|doi:10.1039/D2SC04903A
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.cc2czlts
title: CCDC 2204156: Experimental Crystal Structure Determination

description: Related Article: Christopher Z. Ye, Iker Del Rosal, Michael A. Boreen, Erik T. Ouellette, Dominic R. Russo, Laurent Maron, John Arnold, Clément Camp|2023|Chemical Science|14|861|doi:10.1039/D2SC04903A
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.cc2czlvt
title: CCDC 2204157: Experimental Crystal Structure Determination

description: Related Article: Christopher Z. Ye, Iker Del Rosal, Michael A. Boreen, Erik T. Ouellette, Dominic R. Russo, Laurent Maron, John Arnold, Clément Camp|2023|Chemical Science|14|861|doi:10.1039/D2SC04903A
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.cc2c647z
title: CCDC 2180640: Experimental Crystal Structure Determination

description: Related Article: Peng Tao, Zhuang Lv, Fang-Qing Zhao, Xiao-Kang Zheng, He Jiang, Wentao Li, Yongjing Deng, Shujuan Liu, Guohua Xie, Wai-Yeung Wong, Qiang Zhao|2023|Inorg.Chem.|62|1202|doi:10.1021/acs.inorgchem.2c03597
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.cc2c64b2
title: CCDC 2180643: Experimental Crystal Structure Determination

description: Related Article: Peng Tao, Zhuang Lv, Fang-Qing Zhao, Xiao-Kang Zheng, He Jiang, Wentao Li, Yongjing Deng, Shujuan Liu, Guohua Xie, Wai-Yeung Wong, Qiang Zhao|2023|Inorg.Chem.|62|1202|doi:10.1021/acs.inorgchem.2c03597
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: 10.5281/zenodo.5838648
title: Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control

description: Dataset of the paper "Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control" published on Wind Energy Science [1]. [1] Lin, M., & Porté-Agel, F. (2022). Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control. <em>Wind Energy Science Discussions</em>, 1-22.
DOI: 10.5281/zenodo.7572629
title: Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control

description: Dataset of the paper "Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control" published on Wind Energy Science [1]. [1] Lin, M., & Porté-Agel, F. (2022). Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control. <em>Wind Energy Science Discussions</em>, 1-22.
DOI: 10.5281/zenodo.5838647
title: Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control

description: Dataset of the paper "Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control" published on Wind Energy Science [1]. [1] Lin, M., & Porté-Agel, F. (2022). Large-eddy Simulation of a Wind-turbine Array subjected to Active Yaw Control. <em>Wind Energy Science Discussions</em>, 1-22.
DOI: 10.5281/zenodo.7372477
title: Test data for BioImage.IO workflows

description: Test data for workflows implemented in https://github.com/bioimage-io/workflows-bioimage-io-python <br> References:<br> stardist_chatty_frog.npy derived from https://doi.org/10.5281/zenodo.6338615
DOI: 10.5281/zenodo.7568812
title: Partial dataset related to the article "Prognostic Impact of Extra–Mitral Valve Cardiac Involvement in Patients With Primary Mitral Regurgitation"

description: This record contains partial raw data related to the article "Prognostic Impact of Extra–Mitral Valve Cardiac Involvement in Patients With Primary Mitral Regurgitation" OBJECTIVES The aim of this study was to evaluate the prognostic impact of the presence of extra–mitral valve cardiac involvement (including known risk factors but also severe left atrial [LA] dilatation and right ventricular [RV] dysfunction) in a large multicenter study of patients with primary mitral regurgitation (MR). BACKGROUND In patients with severe primary MR, the indication for surgery is currently based on the presence of symptoms, left ventricular dilatation and dysfunction, atrial fibrillation, and pulmonary hypertension. METHODS Patients with severe primary MR undergoing surgery were included and categorized according to the extent (highest) of cardiac involvement: group 0, no cardiac involvement; group 1, left ventricular involvement; group 2, LA involvement; group 3, pulmonary vasculature or tricuspid valve involvement; or group 4, RV involvement. The outcome was all-cause mortality. RESULTS A total of 1,106 patients were included (mean age 63 12 years, 68% male). In total, 377 patients (34%) were classified in group 0, 239 (22%) in group 1, 213 (19%) in group 2, 180 (16%) in group 3, and 97 (9%) in group 4. Kaplan-Meier curve analysis revealed significantly worse survival (log-rank chi-square ¼ 43.4; P &lt; 0.001) with higher group. On multivariable analysis, age, male sex, chronic obstructive pulmonary disease, kidney function, and group of cardiac involvement were independently associated with all-cause mortality. For each increase in group, a 17% higher risk for all-cause mortality was observed (95% CI: 1.051-1.313; P ¼ 0.005) during a median follow-up time of 88 months. CONCLUSIONS In patients with severe primary MR, a novel classification system based on extra–mitral valve cardiac involvement may help refine risk stratification and timing of surgery, particularly including severe LA dilatation and RV dysfunction in the assessment.
DOI: 10.5281/zenodo.7568813
title: Partial dataset related to the article "Prognostic Impact of Extra–Mitral Valve Cardiac Involvement in Patients With Primary Mitral Regurgitation"

description: This record contains partial raw data related to the article "Prognostic Impact of Extra–Mitral Valve Cardiac Involvement in Patients With Primary Mitral Regurgitation" OBJECTIVES The aim of this study was to evaluate the prognostic impact of the presence of extra–mitral valve cardiac involvement (including known risk factors but also severe left atrial [LA] dilatation and right ventricular [RV] dysfunction) in a large multicenter study of patients with primary mitral regurgitation (MR). BACKGROUND In patients with severe primary MR, the indication for surgery is currently based on the presence of symptoms, left ventricular dilatation and dysfunction, atrial fibrillation, and pulmonary hypertension. METHODS Patients with severe primary MR undergoing surgery were included and categorized according to the extent (highest) of cardiac involvement: group 0, no cardiac involvement; group 1, left ventricular involvement; group 2, LA involvement; group 3, pulmonary vasculature or tricuspid valve involvement; or group 4, RV involvement. The outcome was all-cause mortality. RESULTS A total of 1,106 patients were included (mean age 63 12 years, 68% male). In total, 377 patients (34%) were classified in group 0, 239 (22%) in group 1, 213 (19%) in group 2, 180 (16%) in group 3, and 97 (9%) in group 4. Kaplan-Meier curve analysis revealed significantly worse survival (log-rank chi-square ¼ 43.4; P &lt; 0.001) with higher group. On multivariable analysis, age, male sex, chronic obstructive pulmonary disease, kidney function, and group of cardiac involvement were independently associated with all-cause mortality. For each increase in group, a 17% higher risk for all-cause mortality was observed (95% CI: 1.051-1.313; P ¼ 0.005) during a median follow-up time of 88 months. CONCLUSIONS In patients with severe primary MR, a novel classification system based on extra–mitral valve cardiac involvement may help refine risk stratification and timing of surgery, particularly including severe LA dilatation and RV dysfunction in the assessment.
DOI: 10.6084/m9.figshare.21893067.v1
title: Results 29_04

description: First Compaction tests with the laser sensors and permeability rig. The DAQ was acquiring 2500 data points per second, thus the data was curve fit and matched with the load values registered by the UTM to decrease the number of points per sample. The load values returned to zero every time a data new acquisition started, thus only the loading values are available. Unloading was rejected since the thickness could no longer be correlated with the load. <br> Shown in this file: <br> 1.The relaxation of the setup during one hour is shown: Compression 12 Plies 2. Compliance with oil under the plate: Compression 12 Plies - Final Compliance <br> Files: Compression 12 Plies.xlsx
DOI: 10.6084/m9.figshare.21893067.v2
title: Results 29_04

description: First Compaction tests with the laser sensors and permeability rig. The DAQ was acquiring 2500 data points per second, thus the data was curve fit to decrease the number of data points per second. Also, after the curve fit the sensors data was matched with the UTM data (Indirect measurements). The load values returned to zero every time a data new acquisition started, thus the laser sensors only show the loading values. The unloading stage with sensors was rejected since the thickness could not be correlated with Load. <br> Shown in this file: <br> 1.The relaxation of the setup during one hour is shown: Compression 12 Plies 2. Compliance with oil under the plate: Compression 12 Plies - Final Compliance <br> Files: Compression 12 Plies.xlsx
DOI: 10.6084/m9.figshare.21893067
title: Results 29_04

description: First Compaction tests with the laser sensors and permeability rig. The DAQ was acquiring 2500 data points per second, thus the data was curve fit to decrease the number of data points per second. Also, after the curve fit the sensors data was matched with the UTM data (Indirect measurements). The load values returned to zero every time a data new acquisition started, thus the laser sensors only show the loading values. The unloading stage with sensors was rejected since the thickness could not be correlated with Load. <br> Shown in this file: <br> 1.The relaxation of the setup during one hour is shown: Compression 12 Plies 2. Compliance with oil under the plate: Compression 12 Plies - Final Compliance <br> Files: Compression 12 Plies.xlsx
DOI: 10.6084/m9.figshare.21953546.v1
title: Suppl. File 2.xlsx

description: Suppl. File 2 (dataset) manuscript entitled: Human skeletal muscle methylome after low carbohydrate energy balanced exercise
DOI: 10.6084/m9.figshare.21953546
title: Suppl. File 2.xlsx

description: Suppl. File 2 (dataset) manuscript entitled: Human skeletal muscle methylome after low carbohydrate energy balanced exercise
DOI: 10.6084/m9.figshare.21953549.v1
title: Suppl. File 1.xlsx

description: Suppl. File 1 (dataset) manuscript entitled: <strong>Human skeletal muscle methylome after low carbohydrate energy balanced exercise</strong>
DOI: 10.6084/m9.figshare.21953549
title: Suppl. File 1.xlsx

description: Suppl. File 1 (dataset) manuscript entitled: <strong>Human skeletal muscle methylome after low carbohydrate energy balanced exercise</strong>
DOI: 10.5281/zenodo.7472652
title: Soil gas concentration and flux data from two peatland forest harvesting experiments in Southern Finland

description: The dataset contains data analyzed in a scientific manuscript Peltoniemi et al., <em>Soil CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O concentrations and fluxes in peatland forests are associated with water table level - implications of selection harvesting on soil emissions</em>, in review. The data was collected from two peatland forests. The sites Lettosuo (60.63° N, 23.95° E ) and Paroninkorpi (61.01°N, 24.75°E) locate in southern Finland, and they are fertile drained spruce mires. Both sites have unharvested control and selection harvested treatments. The dataset contains CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O and O<sub>2</sub> concentrations analyzed by gas chromatograph from soil gas samples collected with silicon rubber tubes inserted into soil at different depths over the year 2018-2020. The dataset additionally contains soil gas flux measurements in 2020 with a portable gas analyzer. Air temperature and water table level were measured at both sites, rainfall in nearby meteorological stations, and soil redox potential at one of the sites (Paroninkorpi). More information about the research sites and data is available in the manuscript, and Laurila et al., 2020 (http://urn.fi/URN:ISBN:978-952-380-191-2).
DOI: 10.5281/zenodo.7472653
title: Soil gas concentration and flux data from two peatland forest harvesting experiments in Southern Finland

description: The dataset contains data analyzed in a scientific manuscript Peltoniemi et al., <em>Soil CO<sub>2</sub>, CH<sub>4</sub> and N<sub>2</sub>O concentrations and fluxes in peatland forests are associated with water table level - implications of selection harvesting on soil emissions</em>, in review. The data was collected from two peatland forests. The sites Lettosuo (60.63° N, 23.95° E ) and Paroninkorpi (61.01°N, 24.75°E) locate in southern Finland, and they are fertile drained spruce mires. Both sites have unharvested control and selection harvested treatments. The dataset contains CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O and O<sub>2</sub> concentrations analyzed by gas chromatograph from soil gas samples collected with silicon rubber tubes inserted into soil at different depths over the year 2018-2020. The dataset additionally contains soil gas flux measurements in 2020 with a portable gas analyzer. Air temperature and water table level were measured at both sites, rainfall in nearby meteorological stations, and soil redox potential at one of the sites (Paroninkorpi). More information about the research sites and data is available in the manuscript, and Laurila et al., 2020 (http://urn.fi/URN:ISBN:978-952-380-191-2).
DOI: 10.5281/zenodo.7572663
title: LOLOA1-D

description: A1-D try
DOI: 10.5281/zenodo.7572662
title: LOLOA1-D

description: A1-D try
DOI: 10.5281/zenodo.7312580
title: LoloA1

description: Sample data A1
DOI: 10.5281/zenodo.7312579
title: LoloA1

description: Sample data A1
DOI: 10.5281/zenodo.5174211
title: Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment

description: Mangroves are vital for climate change mitigation since they store vast quantities of carbon as biomass and in the soil. Global mangrove biomass estimates are derived from climate-based relationships of mangroves with precipitation and temperature. However, the carbon stored locally is highly variable depending on environmental conditions. This uncertainty highlights the importance of local mangrove surveys and the need to explore factors that regulate forest structure and, therefore, carbon storage. In this study, we investigate the mangrove forest structure, seedling growth, species composition, aboveground biomass, soil organic carbon, and local environmental factors related to variation in mangrove carbon in the lagoonal mangroves on the protected Aldabra Atoll, Seychelles. We present a database from an extensive field survey of Aldabra's mangrove ecosystem using 54 plots of 5 m x 5 m along a mangrove coverage gradient. From November 2019 to November 2020, we measured the structural attributes and identified six mangrove species from &gt;750 adult mangrove trees on Aldabra. We used the height and diameter of adult trees to derive aboveground biomass and carbon from a tropical allometric equation. We measured the height of 59 mangrove seedlings over three sampling periods. In addition, environmental factors were recorded for each plot. We measured soil salinity repeatedly along the soil column. From 90 soil samples, we measured the physical and chemical properties of the soil, including soil organic carbon and elemental concentrations for &gt;20 elements. Autonomous measures of the water level, temperature and conductivity were made every 10 minutes over 1 year in a subset of 36 plots. The database provides 60% more information that is currently available for Seychelles regarding mangrove forest structure and biomass and is essential for research on several globally threatened and endemic species that depend on the mangroves on Aldabra. Furthermore, the database allows the incorporation of data and insights for the Western Indian Ocean and lagoonal mangroves, where few studies have been conducted on mangrove aboveground biomass and soil organic carbon. No copyright restrictions apply to the use of this data set. Please cite this data paper when using the current data in publications.
description: The second version of the dataset includes a metadata file that describes the datasets
DOI: 10.5281/zenodo.5174212
title: Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment

description: The dataset "Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment" has been submitted to the ECOLOGY journal repository as a data paper and are being considered for publication with the accompanying metadata. Updated versions of this dataset are accessible on the DOI 10.5281/zenodo.5174212 (2022).
DOI: 10.5281/zenodo.7572718
title: Mangroves in the lagoon of the protected Aldabra Atoll: a dataset on species, structure, biomass and the environment

description: Mangroves are vital for climate change mitigation since they store vast quantities of carbon as biomass and in the soil. Global mangrove biomass estimates are derived from climate-based relationships of mangroves with precipitation and temperature. However, the carbon stored locally is highly variable depending on environmental conditions. This uncertainty highlights the importance of local mangrove surveys and the need to explore factors that regulate forest structure and, therefore, carbon storage. In this study, we investigate the mangrove forest structure, seedling growth, species composition, aboveground biomass, soil organic carbon, and local environmental factors related to variation in mangrove carbon in the lagoonal mangroves on the protected Aldabra Atoll, Seychelles. We present a database from an extensive field survey of Aldabra's mangrove ecosystem using 54 plots of 5 m x 5 m along a mangrove coverage gradient. From November 2019 to November 2020, we measured the structural attributes and identified six mangrove species from &gt;750 adult mangrove trees on Aldabra. We used the height and diameter of adult trees to derive aboveground biomass and carbon from a tropical allometric equation. We measured the height of 59 mangrove seedlings over three sampling periods. In addition, environmental factors were recorded for each plot. We measured soil salinity repeatedly along the soil column. From 90 soil samples, we measured the physical and chemical properties of the soil, including soil organic carbon and elemental concentrations for &gt;20 elements. Autonomous measures of the water level, temperature and conductivity were made every 10 minutes over 1 year in a subset of 36 plots. The database provides 60% more information that is currently available for Seychelles regarding mangrove forest structure and biomass and is essential for research on several globally threatened and endemic species that depend on the mangroves on Aldabra. Furthermore, the database allows the incorporation of data and insights for the Western Indian Ocean and lagoonal mangroves, where few studies have been conducted on mangrove aboveground biomass and soil organic carbon. No copyright restrictions apply to the use of this data set. Please cite this data paper when using the current data in publications.
description: The second version of the dataset includes a metadata file that describes the datasets
DOI: 10.25403/upresearchdata.21953282
title: Fungi from Eastern Cape maize

description: This data focuses on fungi and mycotoxins associated with maize in the Eastern Cape, South Africa. In the Literature review, animal and human health implications associated with the consumption of the five regulated mycotoxins is provided in a table. Two photoplates (created using AffinityDesign) are also provided in the figures. The first shows different maize ear rots, while the second shows different maize storage structures. Other figures include the structure of various parts of a maize plant and different climate regions in South Africa (created using PowerPoint). In Chapters 2 and 3, experimental data focused on identifying species using DNA sequence data. The different gene regions targeted for identification are provided in the respective tables. Fungal strains belonging to <em>Alternaria, Aspergillus, Cladosporium, Fusarium </em>and <em>Penicillium </em>were identified. The tables provide species identities, host and district location and GenBank numbers associated with the respective DNA sequence. The species distribution between districts (Chapter 2), and between ear rots are indicated (Chapter 3). These figures were generated using Excel and edited in PowerPoint. In addition, a photoplate (created using AffinityDesign) of ear rots observed in the Eastern Cape is provided.