cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/4913097
title: Watson dataset
DOI: 10.34740/kaggle/dsv/4913110
title: Watson dataset
DOI: 10.34740/kaggle/dsv/4913126
title: Watson dataset
DOI: 10.15151/esrf-es-1018259079
title: ITABAG: 3D structures of macromolecules related to human health

description: The ITABAG includes structural biologists from Universities, the National Research Council and Hospital research centres in Italy. The laboratories take advantage of single crystal and small angle X-ray diffraction methods to study the structure-function relationships in various macromolecules. A unifying factor for the vast majority of the macromolecules under study is that they are related to human health, either directly, being human proteins involved in some disease, or indirectly, as proteins expressed by human pathogens and validated as potential pharmacological targets. Other projects investigate basic chemical processes, such as crystal growth, or aim at characterising macromolecules with potential biotechnological applications.
DOI: 10.15151/esrf-es-1024539644
title: Proteins and protein/DNA/RNA complexes involved in biosynthesis, protein folding and degradation, splicing, cancer, host pathogen interacti

description: Pathogenesis and immune responses are very complex, multi-component processes. Understanding the molecular mechanisms underlying these processes is essential for their regulation and the development of new therapies. Our Life Sciences Block Allocation Group (BAG) for synchrotron research at the ESRF includes groups from Georg-August University of Göttingen (Germany), Helmholtz Centre for Infection Research Structural Biology, Braunschweig (Germany), Rudolf Virchow Center for Biomedical Research, Würzburg (Germany), University of Bielefeld (Germany), Hannover Medical School (Germany) and University of the Western Cape, Cape Town (South Africa). The research of our BAG is focused on the structural, mechanistic, and functional studies of a broad range of medically relevant biological systems, with an aim to develop new therapies in the areas of emerging infections, antimicrobial resistance, chronic inflammatory conditions, and oncogenesis.
DOI: 10.15151/esrf-es-1023952620
title: Molecular structure of cultured heart tissue slices

description: We propose a scanning diffraction study targeting the molecular structure in cultured heart tissue (pig model), to evaluate the development of cultured cardiac tissue which is kept in a novel setup where the tissue can be subjected to different mechanical loads as well as electrical pacing rates, optogenetic or biochemical/pharmaceutical signals[1]. Recent progress in the group of co-proposer T. Brügmann has allowed to keep slices of pig heart tissue in culture for several days, and to use this setup to address questions in cardiac electrophysiology, vegetative physiology and to explore new treatment options including optogenetic termination of cardiac arrhythmia [2,3]. In this proposal, we want to use SAXS with highly brilliant radiation and scanning X-ray diffraction with micro-focused undulator radiation to evaluate the changes of the cultured slices over time and as a function of mechanical loading (prestress, mechanical stimulation).
DOI: 10.15151/esrf-es-1022933119
title: High-Energy Synchrotron Studies on Asteroid Samples Provided by Return Missions

description: Our project is embedded within the two sample return missions from near-Earth C-type asteroids ever undertaken so far in international space science, Hayabusa2 (JAXA) and OSIRIS-REx (NASA). The proposers of this Long Term Project are members of the Initial Analysis Team associated with JAXA’s Hayabusa2 mission and the goal of this proposal is to 1) establish the necessary experimental and data-analysis protocols for high-energy quantitative scanning 2D/3D X-ray fluorescence (XRF) and X-ray diffraction (XRD) micro-/nano-analysis of unique extra-terrestrial samples, and 2) to apply these methods to analyze unique sample materials originating from both carbonaceous asteroids which are remnants from the early Solar System, preserving primitive materials since their formation approximately 4.6 billion years ago.
DOI: 10.5281/zenodo.7580435
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2013

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 2013. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2012</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 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.7580434
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2013

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 2013. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2012</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 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: 10.6084/m9.figshare.21972614
title: supplement

description: supplement
DOI: 10.6084/m9.figshare.21972614.v1
title: supplement

description: supplement
DOI: 10.34740/kaggle/dsv/4913230
title: Google 10 years StockPrice Dataset
DOI: 10.5517/ccdc.csd.cc2bmtxq
title: CCDC 2164014: Experimental Crystal Structure Determination

description: Related Article: Huijun Li, Long Cheng, Guiqin Li, Tongyu Xu, Shengjun Zhang, Fanlong Zeng|2023|Org.Lett.|25|488|doi:10.1021/acs.orglett.2c04180
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.cc2c6tfv
title: CCDC 2181297: Experimental Crystal Structure Determination

description: Related Article: Yoseop Kim, Seung Yeon Kim, Sung-Gon Kim|2022|J.Org.Chem.|88|1113|doi:10.1021/acs.joc.2c02634
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.cc2cb9yz
title: CCDC 2184661: Experimental Crystal Structure Determination

description: Related Article: Hirendra Nath Dhara, Amitava Rakshit, Tipu Alam, Ashish Kumar Sahoo, Bhisma K. Patel|2023|Org.Lett.|25|471|doi:10.1021/acs.orglett.2c04027
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.cc2cbb13
title: CCDC 2184664: Experimental Crystal Structure Determination

description: Related Article: Hirendra Nath Dhara, Amitava Rakshit, Tipu Alam, Ashish Kumar Sahoo, Bhisma K. Patel|2023|Org.Lett.|25|471|doi:10.1021/acs.orglett.2c04027
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.cc2cljm4
title: CCDC 2192556: Experimental Crystal Structure Determination

description: Related Article: Katarina Stefkova, Michael G. Guerzoni, Yara van Ingen, Emma Richards, Rebecca L. Melen|2023|Org.Lett.|25|500|doi:10.1021/acs.orglett.2c04198
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.cc2cljn5
title: CCDC 2192557: Experimental Crystal Structure Determination

description: Related Article: Katarina Stefkova, Michael G. Guerzoni, Yara van Ingen, Emma Richards, Rebecca L. Melen|2023|Org.Lett.|25|500|doi:10.1021/acs.orglett.2c04198
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.cc2cp07b
title: CCDC 2194931: Experimental Crystal Structure Determination

description: Related Article: Yoseop Kim, Seung Yeon Kim, Sung-Gon Kim|2022|J.Org.Chem.|88|1113|doi:10.1021/acs.joc.2c02634
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.cc2cqbm2
title: CCDC 2196214: Experimental Crystal Structure Determination

description: Related Article: Xin Qi, Weihao Chen, Liurong Chen, Yiwei Hu, Xueni Wang, Wenrong Han, Jiao Xiao, Xiaoyan Pang, Xingang Yao, Shuwen Liu, Yong Li, Jie Yang, Junfeng Wang, Yonghong Liu|2023|Bioorg.Chem.|132|106357|doi:10.1016/j.bioorg.2023.106357
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.cc2cqbp4
title: CCDC 2196216: Experimental Crystal Structure Determination

description: Related Article: Xin Qi, Weihao Chen, Liurong Chen, Yiwei Hu, Xueni Wang, Wenrong Han, Jiao Xiao, Xiaoyan Pang, Xingang Yao, Shuwen Liu, Yong Li, Jie Yang, Junfeng Wang, Yonghong Liu|2023|Bioorg.Chem.|132|106357|doi:10.1016/j.bioorg.2023.106357
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.cc2d021k
title: CCDC 2204597: Experimental Crystal Structure Determination

description: Related Article: Lukáš Janecký, Athanasios Markos, Blanka Klepetářová, Petr Beier|2022|J.Org.Chem.|88|1155|doi:10.1021/acs.joc.2c02685
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.cc2d1q4b
title: CCDC 2206181: Experimental Crystal Structure Determination

description: Related Article: Hirendra Nath Dhara, Amitava Rakshit, Tipu Alam, Ashish Kumar Sahoo, Bhisma K. Patel|2023|Org.Lett.|25|471|doi:10.1021/acs.orglett.2c04027
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.21972626
title: Q&A TEXT IN A CHINESE ONLINE MEDICAL COMMUNITY

description: Using Python. we crawl a total of 18, 793 diabetes related Q&A between Jun. 1, 2016 and Sept. 1, 2020 on xywy.com, a famous Chinese Online Medical Community. Each data contains four parts of the question detail page: <em>Title</em>, <em>Problem Description</em>, <em>User ID </em>and <em>Question Time</em>, and three parts of the doctor’s answer page: <em>Doctor ID</em>, <em>Answer Content</em> and <em>Answer Time</em>. After preprocessing such as cleaning and deduplication, we finally obtain 18,521 valid data. Considering the <em>Problem Description</em> contains the background information of the doctor’s answer, we combine the two into the <em>Answer Content,</em> which is used as the text of the knowledge graph construction later.
DOI: 10.6084/m9.figshare.21972617.v1
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect.xlsx

description: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect. It includes 11 items of data, which are: <em>Technology innovation, Product innovation,Technology innovation 1, Product innovation 1, Foreign R&D investment, Local R&D investment,Industrial worker, Industrial export trade, Local financial support for science and technology, Local social capital, Funds for industrial technological transformation</em>
DOI: 10.5281/zenodo.7457827
title: St Helena storm petrel calls from Peaked Island

description: This dataset contains 13 wav files with recordings of seabird calls from Peaked Island (St Helena, South Atlantic Ocean) from 5 June 2014. Recordings were obtained with a custom-built autonomous sound recorder, and segmented from the original 2 hour recording into 13 tracks of roughly 9.5 minutes in length. An accompanying MS Excel file lists the calls of every seabird species audible in those recordings (each tab refers to a different wav file) with the exact time of the call and the identity of the species (Brown Noddy <em>Anous stolidous</em>, Madeiran Storm Petrel <em>Hydrobates castro</em> - but note that this species is genetically isolated and may be described as an independent species in the future, see Taylor et al. 2019). The purpose of the recording was to assess the utility of long-term acoustic abundance monitoring for seabirds on St Helena (similar to Oppel et al. 2014)
description: {"references": ["Taylor, R. S., M. Bolton, A. Beard, T. Birt, P. Deane-Coe, A. F. Raine, J. Gonz\u00e1lez-Sol\u00eds, S. C. Lougheed, and V. L. Friesen. 2019. Cryptic species and independent origins of allochronic populations within a seabird species complex (Hydrobates spp.). Molecular Phylogenetics and Evolution:106552.", "Oppel, S., S. Hervias, N. Oliveira, T. Pipa, C. Silva, P. Geraldes, M. Goh, E. Immler, and M. McKown. 2014. Estimating population size of a nocturnal burrow-nesting seabird using acoustic monitoring and habitat mapping. Nature Conservation 7:1-13."]}
DOI: 10.5281/zenodo.7457826
title: St Helena storm petrel calls from Peaked Island

description: This dataset contains 13 wav files with recordings of seabird calls from Peaked Island (St Helena, South Atlantic Ocean) from 5 June 2014. Recordings were obtained with a custom-built autonomous sound recorder, and segmented from the original 2 hour recording into 13 tracks of roughly 9.5 minutes in length. An accompanying MS Excel file lists the calls of every seabird species audible in those recordings (each tab refers to a different wav file) with the exact time of the call and the identity of the species (Brown Noddy <em>Anous stolidous</em>, Madeiran Storm Petrel <em>Hydrobates castro</em> - but note that this species is genetically isolated and may be described as an independent species in the future, see Taylor et al. 2019). The purpose of the recording was to assess the utility of long-term acoustic abundance monitoring for seabirds on St Helena (similar to Oppel et al. 2014)
description: {"references": ["Taylor, R. S., M. Bolton, A. Beard, T. Birt, P. Deane-Coe, A. F. Raine, J. Gonz\u00e1lez-Sol\u00eds, S. C. Lougheed, and V. L. Friesen. 2019. Cryptic species and independent origins of allochronic populations within a seabird species complex (Hydrobates spp.). Molecular Phylogenetics and Evolution:106552.", "Oppel, S., S. Hervias, N. Oliveira, T. Pipa, C. Silva, P. Geraldes, M. Goh, E. Immler, and M. McKown. 2014. Estimating population size of a nocturnal burrow-nesting seabird using acoustic monitoring and habitat mapping. Nature Conservation 7:1-13."]}
DOI: 10.6084/m9.figshare.21972662.v1
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.34740/kaggle/dsv/4909473
title: Febrile_Seizures_Hyponatremia
DOI: 10.6084/m9.figshare.21972617.v2
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect.xlsx

description: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect. It includes 11 items of data, which are: <em>Technology innovation, Product innovation,Technology innovation 1, Product innovation 1, Foreign R&D investment, Local R&D investment,Industrial worker, Industrial export trade, Local financial support for science and technology, Local social capital, Funds for industrial technological transformation</em>
DOI: 10.6084/m9.figshare.21972659
title: mocksample

description: dataset use for modelling
DOI: 10.6084/m9.figshare.21972662.v2
title: Data on the influence of foreign R&D on the innovation performance of China's high-tech industries and its spatial spillover effect

description: It contains data for 11 items, which are: <strong>Technology innovation</strong> <strong>Product innovation</strong> <strong>Technology innovation 1</strong> <strong>Product innovation 1</strong> <strong>Foreign R&D investment</strong> <strong>Local R&D investment</strong> <strong>Industrial worker</strong> <strong>Industrial export trade</strong> <strong>Local financial support for science and technology</strong> <strong>Local social capital</strong> <strong>Funds for industrial technological transformation</strong>
DOI: 10.6084/m9.figshare.21972641
title: data.rar

description: The data of "Short Term Effect of Ivermectin on the Fecal Microbiome in Chinchillas (Chinchilla lanigera)".
DOI: 10.34740/kaggle/dsv/4913432
title: Elon Musk Tweets