cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8121774
title: A Myristoylated Alanine Rich C-Kinase Substrate (MARCKS) inhibitor peptide attenuates neutrophil outside-in ß2-integrin activation and signaling data

description: Deposit of data included in manuscript
description: For further data inquiries, please contact mkpeed@ncsu.edu
DOI: 10.5517/ccdc.csd.cc2fwrbf
title: CCDC 2260995: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrcg
title: CCDC 2260996: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrdh
title: CCDC 2260997: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrfj
title: CCDC 2260998: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.8135205
title: Bloom Events Detection - WQeMS Raster Products

description: This dataset contains samples of the Bloom Events Detection service of the WQeMS H2020 project.
DOI: 10.5517/ccdc.csd.cc2fwrgk
title: CCDC 2260999: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrhl
title: CCDC 2261000: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.8135204
title: Bloom Events Detection - WQeMS Raster Products

description: This dataset contains samples of the Bloom Events Detection service of the WQeMS H2020 project.
description: new version simply due to folder structure change in upload
DOI: 10.5281/zenodo.8135301
title: Bloom Events Detection - WQeMS Raster Products

description: This dataset contains samples of the Bloom Events Detection service of the WQeMS H2020 project.
description: new version simply due to folder structure change in upload
DOI: 10.5517/ccdc.csd.cc2fwrkn
title: CCDC 2261002: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrlp
title: CCDC 2261003: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrmq
title: CCDC 2261004: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrnr
title: CCDC 2261005: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrps
title: CCDC 2261006: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fwrqt
title: CCDC 2261007: Experimental Crystal Structure Determination

description: Related Article: David T. Hogan, Wen Zhou, Benjamin S. Gelfand, Todd C. Sutherland|2023|Org.Chem.Front.|10|3467|doi:10.1039/D3QO00718A
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.cc2fx2fw
title: CCDC 2261308: Experimental Crystal Structure Determination

description: Related Article: David Villarón, Guido E. A. Brugman, Maxime A. Siegler, Sander J. Wezenberg|2023|Chem.Commun.|59|8688|doi:10.1039/D3CC02264A
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.cc2fx2gx
title: CCDC 2261309: Experimental Crystal Structure Determination

description: Related Article: David Villarón, Guido E. A. Brugman, Maxime A. Siegler, Sander J. Wezenberg|2023|Chem.Commun.|59|8688|doi:10.1039/D3CC02264A
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.cc2frf4s
title: CCDC 2256835: Experimental Crystal Structure Determination

description: Related Article: Anil Balajirao Dapkekar, Gedu Satyanarayana|2023|Chem.Commun.|59|8719|doi:10.1039/D3CC02294C
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.cc2fx2hy
title: CCDC 2261310: Experimental Crystal Structure Determination

description: Related Article: David Villarón, Guido E. A. Brugman, Maxime A. Siegler, Sander J. Wezenberg|2023|Chem.Commun.|59|8688|doi:10.1039/D3CC02264A
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.cc2fl709
title: CCDC 2251840: Experimental Crystal Structure Determination

description: Related Article: Can Li, Kai Yang, Xinyu Li, Shuya Wen, Na Yu, Yi Ren|2023|Dalton Trans.|52|9294|doi:10.1039/D3DT00958K
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.cc2fkcs5
title: CCDC 2251027: Experimental Crystal Structure Determination

description: Related Article: Can Li, Kai Yang, Xinyu Li, Shuya Wen, Na Yu, Yi Ren|2023|Dalton Trans.|52|9294|doi:10.1039/D3DT00958K
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.cc2fkct6
title: CCDC 2251028: Experimental Crystal Structure Determination

description: Related Article: Can Li, Kai Yang, Xinyu Li, Shuya Wen, Na Yu, Yi Ren|2023|Dalton Trans.|52|9294|doi:10.1039/D3DT00958K
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.cc2fkcw8
title: CCDC 2251030: Experimental Crystal Structure Determination

description: Related Article: Can Li, Kai Yang, Xinyu Li, Shuya Wen, Na Yu, Yi Ren|2023|Dalton Trans.|52|9294|doi:10.1039/D3DT00958K
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.cc2fkcx9
title: CCDC 2251031: Experimental Crystal Structure Determination

description: Related Article: Can Li, Kai Yang, Xinyu Li, Shuya Wen, Na Yu, Yi Ren|2023|Dalton Trans.|52|9294|doi:10.1039/D3DT00958K
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.6821197
title: Dataset and R-Code_NAO Reconstruction_Schirrmacher et al

description: This dataset and the accroding R codes allow the reproduction of the analysis carried out in Schirrmacher et al. submitted to Nature.
DOI: 10.5281/zenodo.6821196
title: Dataset and R-Code_NAO Reconstruction_Schirrmacher et al

description: This dataset and the accroding R codes allow the reproduction of the analysis carried out in Schirrmacher et al. submitted to Nature.
DOI: 10.5281/zenodo.8124375
title: Quantum-enhanced sensing on optical transitions via finite-range interactions

description: This upload contains the data set for the manuscript titled "Quantum-enhanced sensing on optical transitions via finite-range interactions". Notes describing the added data set are uploaded alongside. Please see the Arxiv version https://arxiv.org/abs/2303.10688 for plots.
description: We acknowledge support by the Austrian Science Fund through the SFB BeyondC (F7110) and funding by the Institut für Quanteninformation GmbH, by the Simons Collaboration on Ultra-Quantum Matter, which is a grant from the Simons Foundation, and by LASCEM via AFOSR No. 64896-PH-QC. Support is also acknowledged from the AFOSR grants FA9550-18-1-0319 and FA9550-19-1-0275, by the NSF JILA-PFC PHY-1734006, QLCI OMA-2016244, NSF grant PHY-1820885, by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator, and by NIST.
description: {"references": ["https://arxiv.org/abs/2303.10688"]}
DOI: 10.5281/zenodo.8124374
title: Quantum-enhanced sensing on optical transitions via finite-range interactions

description: This upload contains the data set for the manuscript titled "Quantum-enhanced sensing on optical transitions via finite-range interactions". Notes describing the added data set are uploaded alongside. Please see the Arxiv version https://arxiv.org/abs/2303.10688 for plots.
description: We acknowledge support by the Austrian Science Fund through the SFB BeyondC (F7110) and funding by the Institut für Quanteninformation GmbH, by the Simons Collaboration on Ultra-Quantum Matter, which is a grant from the Simons Foundation, and by LASCEM via AFOSR No. 64896-PH-QC. Support is also acknowledged from the AFOSR grants FA9550-18-1-0319 and FA9550-19-1-0275, by the NSF JILA-PFC PHY-1734006, QLCI OMA-2016244, NSF grant PHY-1820885, by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator, and by NIST.
description: {"references": ["https://arxiv.org/abs/2303.10688"]}
DOI: 10.17632/56mr27xz8y.1
title: Briquettes from Fruit Waste

description: This work aimed at developing and characterizing briquettes from orange, mango, and jackfruit wastes at Soroti Fruits Limited and Jakana Foods Limited in Uganda. The briquette development process used cassava starch, cornstarch, and clay as binders, and a manual lever press for compaction. Physical and chemical properties were examined for both homogeneous and composite briquettes at varying binder concentrations. Moisture content, volatile matter, fixed carbon, and ash content were examined using thermogravimetric analysis through an Eltra thermostep thermogravimetric analyzer, software version TGA1.4.3.2a3, with an accuracy of ±0.0001 g. Calorific values of the developed briquettes were determined with bomb calorimetry using an IKA C 2000 oxygen bomb calorimeter with an accuracy of ±0.01 ℃. Mechanical integrity was examined through drop strength, bulk density, and compressive strength. Water boiling tests were also conducted using the water boiling test protocol 4.2.3.
Thermogravimetric analysis showed that the developed briquettes had good physical properties. The 26.71% average volatile matter content indicated that the briquettes were easy to ignite, and they released low emissions during combustion. Briquettes which entailed mango fruit waste char had higher fixed carbon and subsequently registered higher calorific values. Briquettes with starch binders had lower ash content compared to briquettes with the clay binder. The highest rate of change in the burning rate was registered between the 100th and the 135th minutes. The lowest and highest percentage weight losses at the highest combustion temperature were 56% and 78%, respectively.
Although briquettes with the cassava starch binder had higher compressive strength compared with cornstarch and clay binders, the 0.271 N/mm2 average compressive strength for all developed briquettes was lower than 0.38 N/mm2, the acceptable compressive strength in the industry. The low mechanical integrity was further confirmed by a 51% average drop strength which means that the developed briquettes are susceptible to damage during transportation and storage. The low mechanical integrity in this study highlighted the short comings of using a manual lever press as a compaction method. 
Water boiling test results re-echoed the optimum calorific value and volatile matter content results from briquettes which had starch binders.  The results show that briquettes with fast ignition and the ability to release more energy shorten the cooking durations.
DOI: 10.17632/2xcy3bgkfs.1
title: Acquired, Bilateral Navus of Ota-like Macules in Children: Clinical findings in 46 patients

description: Supplementary figures for the research article titled"Acquired, Bilateral Navus of Ota-like Macules in Children: Clinical findings in 46 patients". Figures 2, 3, 4, and 5 suggest that the lesions in children are lighter in color than those in adults. Figures 6 and 7 show more skin lesions in children with Acquired, Bilateral Navus of Ota-like Macules.
DOI: 10.6084/m9.figshare.23660625
title: Data for analysis, yearly.xlsx

description: This data submitted is related to an article for pulication entitled " <strong>MEASURES FOR ACHIEVING SUSTAINABLE ENVIRONMENT TO MITIGATE CLIMATE CHANGE IN AFRICA"</strong>
DOI: 10.6084/m9.figshare.23660625.v1
title: Data for analysis, yearly.xlsx

description: This data submitted is related to an article for pulication entitled " <strong>MEASURES FOR ACHIEVING SUSTAINABLE ENVIRONMENT TO MITIGATE CLIMATE CHANGE IN AFRICA"</strong>
DOI: 10.17632/sfrbdjvxcc.1
title: MIND.Funga App: images dataset from Neotropical macrofungi used to train an artificial neural network to recognize fungal species

description: Macrofungi produce reproductive structures (spore-bearing), the sporomata, visible to the naked eye. These sporomata have variable shapes, sizes, and colors. They are commonly known as mushrooms, puffballs, earthstars, jelly fungi, and bracket fungi. Informative photos can often be enough to recognize species or taxonomic groups of these macrofungi. Therefore, we built a database with standard and good-quality images for species recognition through the MIND.Funga application (MIND.Funga App). The MIND.Funga App does macrofungi image recognition based on deep learning neural network (DLNN) and suggests species names with confidence ratings. This first version of the database used by MIND.Funga App contains 14,707 images that were manually curated and resized (all images are squared). All images are separated by taxons in individual directories named with the current accepted scientific name. When species identification was not possible, the directory was named with the specimen's genus.

The images were gathered and compiled from several sources, including collaborators from Facebook groups, citizen scientists, partner researchers, scientific papers, and from MIND.Funga research projects and personal data from MIND.Funga members. For the proper operation of the MIND.Funga app, it is necessary that the database used to train the DLNN be constantly supplied and composed of an expressive number of good-quality images and a representative number of species. Thus, it is expected that new versions of the database will be published in the near future. This research is supported by FAPESC/CNPq (PRONEM) 2020TR733. For more information on the collaboration net and the project, see https://mindfunga.ufsc.br/.
DOI: 10.17632/sfrbdjvxcc.2
title: MIND.Funga App: images dataset from Neotropical macrofungi used to train an artificial neural network to recognize fungal species

description: Macrofungi produce reproductive structures (spore-bearing), the sporomata, visible to the naked eye. These sporomata have variable shapes, sizes, and colors. They are commonly known as mushrooms, puffballs, earthstars, jelly fungi, and bracket fungi. Informative photos can often be enough to recognize species or taxonomic groups of these macrofungi. Therefore, we built a database with standard and good-quality images for species recognition through the MIND.Funga application (MIND.Funga App). The MIND.Funga App does macrofungi image recognition based on deep learning neural network (DLNN) and suggests species names with confidence ratings. This second version of the database used by MIND.Funga App contains 17,467 images that were manually curated and resized (all images are squared). All images are separated by taxons (more than 500 species) in individual directories named with the current accepted scientific name. When species identification was not possible, the directory was named with the specimen's genus.

The images were gathered and compiled from several sources, including collaborators from Facebook groups, citizen scientists, partner researchers, scientific papers, and from MIND.Funga research projects and personal data from MIND.Funga members. For the proper operation of the MIND.Funga app, it is necessary that the database used to train the DLNN be constantly supplied and composed of an expressive number of good-quality images and a representative number of species. Thus, it is expected that new versions of the database will be published in the near future. This research is supported by FAPESC/CNPq (PRONEM) 2020TR733. For more information on the collaboration net and the project, see https://mindfunga.ufsc.br/.