cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cmktd
title: CCDC 2193554: Experimental Crystal Structure Determination

description: Related Article: Martin Keilwerth, Weiqing Mao, Sergio A. V. Jannuzzi, Liam Grunwald, Frank W. Heinemann, Andreas Scheurer, Jörg Sutter, Serena DeBeer, Dominik Munz, Karsten Meyer|2022|J.Am.Chem.Soc.|145|873|doi:10.1021/jacs.2c09072
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.cc2cmkvf
title: CCDC 2193555: Experimental Crystal Structure Determination

description: Related Article: Martin Keilwerth, Weiqing Mao, Sergio A. V. Jannuzzi, Liam Grunwald, Frank W. Heinemann, Andreas Scheurer, Jörg Sutter, Serena DeBeer, Dominik Munz, Karsten Meyer|2022|J.Am.Chem.Soc.|145|873|doi:10.1021/jacs.2c09072
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.cc2dnh6s
title: CCDC 2224225: Experimental Crystal Structure Determination

description: Related Article: Wen Lu, Yanxuan Wu, Yan-Na Ma, Feijing Chen, Xuenian Chen|2022|Inorg.Chem.|62|885|doi:10.1021/acs.inorgchem.2c03694
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.cc2f4jw0
title: CCDC 2238692: Experimental Crystal Structure Determination

description: Related Article: Pu Tan|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: 10.6084/m9.figshare.21975056
title: Transcriptome sequencing raw data for mouse liver samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia; NC: control group.
DOI: 10.6084/m9.figshare.21975056.v1
title: Transcriptome sequencing raw data for mouse liver samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia; NC: control group.
DOI: 10.3217/1fhne-emd40
title: Metal-organic framework copper-isonicotinate

description: data for the publication "Identifying the Internal Network Structure of a New Copper Isonicotinate Thin-Film Polymorph Obtained via Chemical Vapour Deposition" submitted to the journal "Advanced Materials Interfaces"
DOI: 10.6084/m9.figshare.21856377.v1
title: A Novel Mucoadhesive Methylcobalamin Nasal Spray In Management of Vitamin B12 Deficiency: Indian study

description: This is a DATA repository for the article <strong>A Novel Mucoadhesive Methylcobalamin Nasal Spray In Management of Vitamin B12 Deficiency: Indian study</strong>
DOI: 10.21227/xwq6-ac12
title: Embedded abstracts of PubMed articles on Artificial Intelligence

description: This data is the embedding of abstracts of articles on artificial intelligence in Pubmed with the models of BERT, BioBERT, and SciBERT.
DOI: 10.6084/m9.figshare.21975167
title: Baicalin reduces sunitinib-induced cardiotoxicity in renal carcinoma PDX model by inhibiting myocardial injury, apoptosis and fibrosis

description: Background and purpose: Sunitinib, a multi-targeted tyrosine kinase inhibitor, has anticancer function but it’s clinical use is often limited by cardiovascular complications. Baicalin is a flavonoid extracted from radix scutellariae that has been demonstrated various pharmacological activities including anti-inflammatory property, but its potential effects in sunitinib -induced cardiotoxicity have not been clarified. In this study, we to investigate the effect of baicalin in sunitinib-induced cardiotoxicity in vivo by using patient-derived xenograft (PDX) model. Material and Methods: Female Nod Scid mice with PDX were treated with vehicle, sunitinib (50 mg/kg/d), baicalin (100 mg/kg/d) or baicalin and sunitinib for 6 weeks. The tumor volume and weight of tumor-bearing mice were measured, and cardiovascular functions were evaluated by testing the Heart index and blood biochemical indicators, and by H&E, Masson and TUNEL staining. Results: Sunitinib therapy and combination therapy effectively inhibited the growth of renal tumors. Combination therapy inhibited sunitinib-induced increase of creatine kinase (CK) and lactate dehydrogenase (LDH), and ameliorated the heart parameters. Moreover, baicalin effectively protected SU-induced cardiac dysfunction by decreased the injury, apoptosis, and fibrosis. Conclusion: Collectively, our results demonstrate that baicalin as a potential cardioprotective approach for cardiovascular complications during sunitinib regimen. <br>
DOI: 10.6084/m9.figshare.21975167.v1
title: Baicalin reduces sunitinib-induced cardiotoxicity in renal carcinoma PDX model by inhibiting myocardial injury, apoptosis and fibrosis

description: Background and purpose: Sunitinib, a multi-targeted tyrosine kinase inhibitor, has anticancer function but it’s clinical use is often limited by cardiovascular complications. Baicalin is a flavonoid extracted from radix scutellariae that has been demonstrated various pharmacological activities including anti-inflammatory property, but its potential effects in sunitinib -induced cardiotoxicity have not been clarified. In this study, we to investigate the effect of baicalin in sunitinib-induced cardiotoxicity in vivo by using patient-derived xenograft (PDX) model. Material and Methods: Female Nod Scid mice with PDX were treated with vehicle, sunitinib (50 mg/kg/d), baicalin (100 mg/kg/d) or baicalin and sunitinib for 6 weeks. The tumor volume and weight of tumor-bearing mice were measured, and cardiovascular functions were evaluated by testing the Heart index and blood biochemical indicators, and by H&E, Masson and TUNEL staining. Results: Sunitinib therapy and combination therapy effectively inhibited the growth of renal tumors. Combination therapy inhibited sunitinib-induced increase of creatine kinase (CK) and lactate dehydrogenase (LDH), and ameliorated the heart parameters. Moreover, baicalin effectively protected SU-induced cardiac dysfunction by decreased the injury, apoptosis, and fibrosis. Conclusion: Collectively, our results demonstrate that baicalin as a potential cardioprotective approach for cardiovascular complications during sunitinib regimen. <br>
DOI: 10.21227/jx7z-yh63
title: Embedded abstracts of PubMed articles on Echocardiography

description: This data is the embedding of abstracts of articles on echocardiography in Pubmed with the models of BERT, BioBERT, and SciBERT.
DOI: 10.25381/cput.21711026
title: Task-focused leadership competencies and their effect on project team motivation on a selected petroleum company in the Western Cape

description: Ethics Certificate # 2021_FBMSREC_065 <br>
DOI: 10.6084/m9.figshare.21975235.v1
title: What is a mammalian omnivore Supplemental files.zip from What is a mammalian omnivore? Insights into terrestrial mammalian diet diversity, body mass and evolution

description: Mammalian omnivores are a broad group of species that are often treated uniformly in ecological studies. Here, we incorporate omnivorous dietary differences to investigate previously found mammalian macroevolutionary and macroecological trends. We investigate the frequency with which vertebrate prey, invertebrate prey, fibrous plant material and non-fibrous plant material, co-occur in the diets of terrestrial mammals. We quantify the body size distributions and phylogenetic signal of different omnivorous diets and use multistate reversible jump Markov chain Monte Carlo to assess the transition rates between diets on the mammalian phylogenetic tree. We find omnivores that consume all four food types are relatively rare, as most omnivores consume only invertebrate prey and non-fibrous plants. In addition, omnivores that only consume invertebrate prey, many of which are from Rodentia, are on average smaller than omnivores that incorporate vertebrate prey. Our transition models have high rates from invertivorous omnivory to herbivory, and from vertivory to prey mixing and ultimately invertivory. We suggest prey type is an important aspect of omnivore macroevolution and macroecology, as it is correlated with body mass, evolutionary history and diet-related evolutionary transition rates. Future work should avoid lumping omnivores into one category given the ecological variety of omnivore diets and their strong evolutionary influence.
DOI: 10.6084/m9.figshare.21975235
title: What is a mammalian omnivore Supplemental files.zip from What is a mammalian omnivore? Insights into terrestrial mammalian diet diversity, body mass and evolution

description: Mammalian omnivores are a broad group of species that are often treated uniformly in ecological studies. Here, we incorporate omnivorous dietary differences to investigate previously found mammalian macroevolutionary and macroecological trends. We investigate the frequency with which vertebrate prey, invertebrate prey, fibrous plant material and non-fibrous plant material, co-occur in the diets of terrestrial mammals. We quantify the body size distributions and phylogenetic signal of different omnivorous diets and use multistate reversible jump Markov chain Monte Carlo to assess the transition rates between diets on the mammalian phylogenetic tree. We find omnivores that consume all four food types are relatively rare, as most omnivores consume only invertebrate prey and non-fibrous plants. In addition, omnivores that only consume invertebrate prey, many of which are from Rodentia, are on average smaller than omnivores that incorporate vertebrate prey. Our transition models have high rates from invertivorous omnivory to herbivory, and from vertivory to prey mixing and ultimately invertivory. We suggest prey type is an important aspect of omnivore macroevolution and macroecology, as it is correlated with body mass, evolutionary history and diet-related evolutionary transition rates. Future work should avoid lumping omnivores into one category given the ecological variety of omnivore diets and their strong evolutionary influence.
DOI: 10.25381/cput.21671528
title: Spatial distribution of ambient air quality in Cape Town Central Business District

description: Ethical reference number:215288025/07/2020 Spatial distribution of ambient air quality in Cape Town Central Business District secondary dataset retrieved from City of Cape Town air quality monitoring station and cleaned to meet the objectives of the study.
DOI: 10.25381/cput.21671528.v1
title: Spatial distribution of ambient air quality in Cape Town Central Business District

description: Ethical reference number:215288025/07/2020 Spatial distribution of ambient air quality in Cape Town Central Business District secondary dataset retrieved from City of Cape Town air quality monitoring station and cleaned to meet the objectives of the study.
DOI: 10.34740/kaggle/dsv/4918007
title: IoT Healthcare Security Dataset
DOI: 10.6084/m9.figshare.21975170
title: Transcriptome sequencing raw data for mouse lung samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia group; NC: control group.
DOI: 10.6084/m9.figshare.21975170.v1
title: Transcriptome sequencing raw data for mouse lung samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia group; NC: control group.
DOI: 10.34740/kaggle/ds/2852100
title: IoT Healthcare Security Dataset
DOI: 10.3217/2b528-hj548
title: Bachelorthesis

description: Nonlinear Optics in Fused Silica with a Femtosecond 1030 nm Laser: Experiment and Theory
DOI: 10.3886/e113709v1-132140
title: Replication data for: School Finance Reform and the Distribution of Student Achievement

description: We study the impact of post-1990 school finance reforms, during the so-called "adequacy" era, on absolute and relative spending and achievement in low-income school districts. Using an event study research design that exploits the apparent randomness of reform timing, we show that reforms lead to sharp, immediate, and sustained increases in spending in low-income school districts. Using representative samples from the National Assessment of Educational Progress, we find that reforms cause increases in the achievement of students in these districts, phasing in gradually over the years following the reform. The implied effect of school resources on educational achievement is large.
DOI: 10.6084/m9.figshare.21975248
title: Transcriptome sequencing raw data for mouse spleen samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia group; NC: control group.
DOI: 10.6084/m9.figshare.21975248.v1
title: Transcriptome sequencing raw data for mouse spleen samples

description: The transcriptome sequencing dataset for mouse tissue samples under hypobaric hypoxia environment. Hypo: hypobaric hypoxia group; NC: control group.
DOI: 10.5281/zenodo.7583326
title: The propagation of gravity waves in Titan's stratosphere

description: The model code and figure data of our article "The propagation of gravity waves in Titan's stratosphere". GW-simulation-program.txt is the Mathematica code used to simulate gravity wave propagation. simulations-nowind.rar and simulations-wind.rar are the simulation results for gravity wave with its horizontal propagation direction perpendicular or not perpendicular to the background wind, respectively. FigureData.rar contains several data files for figures in our article.
DOI: 10.5281/zenodo.7582426
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2008

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 2008. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2007</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2008 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.7582425
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2008

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 2008. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2007</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2009</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2008 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: 10.14457/rmutk.the.2020.15
title: The Factors Influencing Online Shopping Behaviors：The Case Study of HUAWEI Mobile Product

description: In today's society, online shopping has become a way of life, and more and more people are involved in online shopping. Therefore, it is very necessary to study online shopping consumer behavior. By taking HUAWEI mobile phone as an example, this study analyzes several factors that affect consumers' shopping intention/shopping behavior. In this study, marketing mix (7ps) lifestyle and Personal Computer Technology are the focus of analysis. Research data were collected by questionnaire survey from groups who had purchased HUAWEI mobile phones online. Multiple methods were used in this study (T-test, One Way ANOVA, Correlation analysis and Regression analysis).Finally, it comes to the conclusion that: among online shopping and marketing mix 7ps factors, product factors and price factors most directly affect shopping online consumption intention and men are more willing to buy HUAWEI mobile phones online. Through a series of studies in this paper, we can have an impact on the online sales strategies of HUAWEI and other e-commerce companies. Through research, provide some Suggestions to HUAWEI based on the results, improve the online sales of products
DOI: 10.6084/m9.figshare.21656219
title: Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics

description: The datasets used in "Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics"
DOI: 10.6084/m9.figshare.21656219.v2
title: Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics

description: The datasets used in "Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics"
DOI: 10.6084/m9.figshare.21656219.v1
title: Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics

description: The datasets used in "Mycorrhizal association controls soil carbon-degrading enzyme activities under nitrogen addition: Implications for soil carbon dynamics"
DOI: 10.5281/zenodo.6033755
title: Dataset created in the context of the project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field"

description: The project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field", whose website is https://datause.es/, is a project funded by the Ministry of Science and Innovation - State Research Agency, with reference PID2019-105708RB-C22. Within the framework of the project, a bibliographic search is carried out in all thematic categories of the Web of Science (WoS) related to agriculture and related areas. The search equation included the following categories: <strong>WC </strong>= (FOOD SCIENCE TECHNOLOGY OR PLANT SCIENCES OR FORESTRY OR AGRICULTURAL ENGINEERING OR AGRONOMY OR HORTICULTURE OR AGRICULTURE DAIRY ANIMAL SCIENCE OR AGRICULTURE MULTIDISCIPLINARY OR AGRICULTURAL ECONOMICS POLICY) This data set shows the distribution of journals and the quartile they occupy in each of the thematic categories in 2019, with the aim of serving researchers in this area and for future data mining.
description: Ministry of Science and Innovation - State Research Agency, Spain Reference: PID2019-105708RB-C22.