cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/p919-5t46
title: WAP-test-data

description: This is a test dataset Please consider this for inclusion in the CRAWDAD collection
DOI: 10.5281/zenodo.7785009
title: Cosmological Initial Conditions (dark matter particles) for 85Mpc^3

description: Files representing the initial conditions of Dark Matter Particles at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, simulated with 1024^3 cells and 1024^3 DM particles. The data are in hdf5 format and they were generated using the mpgrafic code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.5281/zenodo.7785010
title: Cosmological Initial Conditions (dark matter particles) for 85Mpc^3

description: Files representing the initial conditions of Dark Matter Particles at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, simulated with 1024^3 cells and 1024^3 DM particles. The data are in hdf5 format and they were generated using the mpgrafic code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.5517/ccdc.csd.cc25py4z
title: CCDC 2017081: Experimental Crystal Structure Determination

description: Related Article: Ilya E. Nifant'ev, Alexander A. Vinogradov, Alexey A. Vinogradov, Mikhail E. Minyaev, Vladimir V. Bagrov, Ildar I. Salakhov, Nadim M. Shaidullin, Anatoly E. Chalykh, Alexey V. Shapagin, Pavel V. Ivchenko|2023|Polymer|272|125836|doi:10.1016/j.polymer.2023.125836
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.cc26bm17
title: CCDC 2035988: Experimental Crystal Structure Determination

description: Related Article: Xiaoyong Mo, Yulin Deng, Samuel Kin-Man Lai, Xutao Gao, Hung-Ling Yu, Kam-Hung Low, Zhengxiao Guo, Heng-Liang Wu, Ho Yu Au-Yeung, Edmund C. M. Tse|2023|J.Am.Chem.Soc.|145|6087|doi:10.1021/jacs.2c10988
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.cc26t7jt
title: CCDC 2050046: Experimental Crystal Structure Determination

description: Related Article: Xiaoyong Mo, Yulin Deng, Samuel Kin-Man Lai, Xutao Gao, Hung-Ling Yu, Kam-Hung Low, Zhengxiao Guo, Heng-Liang Wu, Ho Yu Au-Yeung, Edmund C. M. Tse|2023|J.Am.Chem.Soc.|145|6087|doi:10.1021/jacs.2c10988
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.cc278mms
title: CCDC 2063875: Experimental Crystal Structure Determination

description: Related Article: Iwona Zarzyka, Anna Czerniecka-Kubicka, Agnieszka Szyszkowska, Michał Longosz, Lucjan Dobrowolski, Weronika Gonciarz, Magdalena Chmiela, Damian Trzybiński, Agata Wróbel, Krzysztof Woźniak, Karol Hęclik|2023|J.Mol.Struct.|1284|135353|doi:10.1016/j.molstruc.2023.135353
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.cc29hx6y
title: CCDC 2130450: Experimental Crystal Structure Determination

description: Related Article: Peng-Bo Bai, Ming-Ying Wu, Xin-Xin Yang, Gang-Wei Wang, Shang-Dong Yang|2023|Chin.Chem.Lett.|34|107894|doi:10.1016/j.cclet.2022.107894
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.cc2bb1c3
title: CCDC 2154604: Experimental Crystal Structure Determination

description: Related Article: Mozhgan Parsaei, Kamran Akhbari, Jonathan White|2023|J.Mol.Struct.|1283|135224|doi:10.1016/j.molstruc.2023.135224
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.cc2c4hst
title: CCDC 2179076: Experimental Crystal Structure Determination

description: Related Article: Gazalah S. Mohammed Elgadi, Mark R. J. Elsegood, Miheal Patel, Paulo. A. Netz, Tiago E. de Oliveira, Marc C. Kimber|2023|J.Org.Chem.|88|3965|doi:10.1021/acs.joc.2c03002
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.cc2c4htv
title: CCDC 2179077: Experimental Crystal Structure Determination

description: Related Article: Gazalah S. Mohammed Elgadi, Mark R. J. Elsegood, Miheal Patel, Paulo. A. Netz, Tiago E. de Oliveira, Marc C. Kimber|2023|J.Org.Chem.|88|3965|doi:10.1021/acs.joc.2c03002
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.cc2c9bxy
title: CCDC 2183730: Experimental Crystal Structure Determination

description: Related Article: Gazalah S. Mohammed Elgadi, Mark R. J. Elsegood, Miheal Patel, Paulo. A. Netz, Tiago E. de Oliveira, Marc C. Kimber|2023|J.Org.Chem.|88|3965|doi:10.1021/acs.joc.2c03002
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.cc2c9byz
title: CCDC 2183731: Experimental Crystal Structure Determination

description: Related Article: Gazalah S. Mohammed Elgadi, Mark R. J. Elsegood, Miheal Patel, Paulo. A. Netz, Tiago E. de Oliveira, Marc C. Kimber|2023|J.Org.Chem.|88|3965|doi:10.1021/acs.joc.2c03002
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: 10.17638/datacat.liverpool.ac.uk/1622
title: Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra

description: Oral epithelial dysplasia (OED) is a histopathologically-defined, potentially premalignant condition of the oral cavity. The rate of transformation to frank carcinoma is relatively low (12% within 2 years) and prediction based on histopathological grade is unreliable, leading to both over- and under-treatment. Alternative approaches include infrared (IR) spectroscopy, which is able to classify cancerous and non-cancerous tissue in a number of cancers, including oral. The aim of this study was to explore the capability of FTIR (Fourier-transform IR) microscopy and machine learning as a means of predicting malignant transformation of OED. Supervised, retrospective analysis of longitudinally-collected OED biopsy samples from 17 patients with high risk OED lesions: 10 lesions transformed and 7 did not over a follow-up period of more than 3 years. FTIR spectra were collected from routine, unstained histopathological sections and machine learning used to predict malignant transformation, irrespective of OED classification. PCA-LDA (principal component analysis followed by linear discriminant analysis) provided evidence that the subsequent transforming status of these 17 lesions could be predicted from FTIR data with a sensitivity of 79 � 5% and a specificity of 76 � 5%. Six key wavenumbers were identified as most important in this classification. Although this pilot study used a small cohort, the strict inclusion criteria and classification based on known outcome, rather than OED grade, make this a novel study in the field of FTIR in oral cancer and support the clinical potential of this technology in the surveillance of OED.
DOI: 10.6084/m9.figshare.21856377
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: 10.6084/m9.figshare.21856377.v5
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: 10.6084/m9.figshare.21856377.v4
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: 10.6084/m9.figshare.22434565
title: Structural coordinates of the disulfide-bridged OEP21 dimer

description: Structural coordinates of the dimeric model of OEP21 linked by a disulfide bridge. This model is based on the structural coordinates of the OEP21 monomer determined by NMR and deposited at the wwPDB databank, accession code 7BGH. NMR chemical shift information have been depostited at the BMRB (accession code 34589).
DOI: 10.6084/m9.figshare.22434565.v1
title: Structural coordinates of the disulfide-bridged OEP21 dimer

description: Structural coordinates of the dimeric model of OEP21 linked by a disulfide bridge. This model is based on the structural coordinates of the OEP21 monomer determined by NMR and deposited at the wwPDB databank, accession code 7BGH. NMR chemical shift information have been depostited at the BMRB (accession code 34589).
DOI: 10.6084/m9.figshare.22434499
title: Tommasi et al., 2023 - parassite

description: Dataset of presence/absence of parasite infection and parasite richness in two bumblebee species
DOI: 10.5281/zenodo.7788324
title: Cosmological Initial Conditions (3D magnetic fields for an alfa=0.0 magnetic spectrum) for 85Mpc^3

description: Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=0.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.5281/zenodo.7788323
title: Cosmological Initial Conditions (3D magnetic fields for an alfa=0.0 magnetic spectrum) for 85Mpc^3

description: Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=0.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.34740/kaggle/dsv/5276846
title: YouTube Daily
DOI: 10.48670/moi-00018
title: Global Ocean 1/4° Physics Analysis and Forecast updated Daily

description: EU Copernicus Marine Service Global Ocean 1/4° Physics Analysis and Forecast updated Daily Produc
DOI: 10.23728/b2share.3983fd5a8c574e12af21c4a8682bac88
title: Rosalia Lehrforst Austria - Soil Greenhouse Gas Flux Data DRAIN Experiment 2013-2016
DOI: 10.5281/zenodo.7327693
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl Plants 52)

description: Mapping databases derived from Ensembl Plants 52. These files can be used with BridgeDb.<br> The scripts which were used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb. This work was funded by the FAIRplus project (grant agreement no 802750) and NWO Open Science Fund (grant no 203.001.121).
description: We would like to thank Helena Basaric, who contributed to improving the scripts used to generate these databases.
DOI: 10.5281/zenodo.7781895
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl Plants 52)

description: Mapping databases derived from Ensembl Plants 52. These files can be used with BridgeDb.<br> This version doesn't have the issue of not could be searched using gene names (e.g. in PathVisio). The scripts which were used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb.
DOI: 10.5281/zenodo.7327692
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl Plants 52)

description: Mapping databases derived from Ensembl Plants 52. These files can be used with BridgeDb.<br> This version doesn't have the issue of not could be searched using gene names (e.g. in PathVisio). The scripts which were used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb.
DOI: 10.5281/zenodo.7730623
title: Catalog of the Miyaoka Collection

description: A catalog of <em>the Miyaoka Bunko</em>, a large-scale collection of research books with high rarity value mainly on Eskimo and North American languages, donated to the Language Research Institute of Tokyo University of Foreign Studies by world-famous linguist Professor Osahito Miyaoka.
DOI: 10.5281/zenodo.7730622
title: Catalog of the Miyaoka Collection

description: A catalog of <em>the Miyaoka Bunko</em>, a large-scale collection of research books with high rarity value mainly on Eskimo and North American languages, donated to the Language Research Institute of Tokyo University of Foreign Studies by world-famous linguist Professor Osahito Miyaoka.
DOI: 10.5281/zenodo.7788378
title: Cosmological Initial Conditions (3D magnetic fields for an alfa=1.0 magnetic spectrum) for 85Mpc^3

description: Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=1.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.5281/zenodo.7788377
title: Cosmological Initial Conditions (3D magnetic fields for an alfa=1.0 magnetic spectrum) for 85Mpc^3

description: Files representing the initial conditions at z=40 for ENZO-MHD cosmological simulation of a comoving 85Mpc^3 volume, for tangled magnetic fields from an alfaB=1.0 initial spectrum of magnetic fluctuations. The simulation has 1024^3 cells and 1024^3 DM particles. These data are in binary format and can be read by the ENZO code. More details of the simulations and on it cosmological parameter can be found at: https://ui.adsabs.harvard.edu/abs/2021Galax...9..109V/abstract https://ui.adsabs.harvard.edu/abs/2021MNRAS.500.5350V/abstract https://ui.adsabs.harvard.edu/abs/2017CQGra..34w4001V/abstract
DOI: 10.5281/zenodo.7327671
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl 106)

description: Ensembl 106 derived ID mapping databases for use with BridgeDb. The scripts used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb. This work was funded by the FAIRplus project (grant agreement no 802750) and NWO Open Science Fund (grant no 203.001.121).
description: We would like to thank Helena Basaric, who contributed to improving the scripts used to generate these databases.
DOI: 10.5281/zenodo.7774223
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl 106)

description: Ensembl 106 derived ID mapping databases for use with BridgeDb.<br> This version doesn't have the issue of not could be searched using gene names (e.g. in PathVisio). The scripts used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb.
DOI: 10.5281/zenodo.7327670
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl 106)

description: Ensembl 106 derived ID mapping databases for use with BridgeDb.<br> This version doesn't have the issue of not could be searched using gene names (e.g. in PathVisio). The scripts used to create these databases based on Ensembl BioMart can be found at https://github.com/bridgedb/create-bridgedb-genedb.
DOI: 10.5258/soton/d2582
title: Dataset in support of the journal article 'Bubble collapse near porous plates'

description: This dataset supports the publication: 'Bubble collapse near porous plates' by Elijah D. Andrews, David Fernández Rivas, and Ivo R. Peters, Journal of Fluid Mechanics (2023)
DOI: 10.5281/zenodo.7788299
title: Dataset from the study "Analysis of the accuracy of scientific literature references provided by ChatGPT"

description: This dataset corresponds to the study carried out to analyse 10 bibliographic references of 10 Spanish authors in the field of Information Sciences requested to the ChatGPT chatbot. The file "Bibliographic_references_ analysis" contains the 10 references returned by ChatGPT for each of the 10 authors (a total of 100 references), together with the variables analysed to check their authenticity. The "Keywords_analysis" file contains the normalisation carried out on the words considered to be key words extracted from the titles of the works, according to which a word cloud showing the frequency of occurrence could be drawn up.
DOI: 10.5281/zenodo.7788300
title: Dataset from the study "Analysis of the accuracy of scientific literature references provided by ChatGPT"

description: This dataset corresponds to the study carried out to analyse 10 bibliographic references of 10 Spanish authors in the field of Information Sciences requested to the ChatGPT chatbot. The file "Bibliographic_references_ analysis" contains the 10 references returned by ChatGPT for each of the 10 authors (a total of 100 references), together with the variables analysed to check their authenticity. The "Keywords_analysis" file contains the normalisation carried out on the words considered to be key words extracted from the titles of the works, according to which a word cloud showing the frequency of occurrence could be drawn up.
DOI: 10.6084/m9.figshare.21670025
title: Radioactive Cs transfer to vegetables after the FDNPP accident

description: To evaluate the effectiveness of potassium (K) application in mitigating<sup>137</sup>Cs transfer from soil to plants, several vegetable species were cultivated under field and pot experiments. In the field experiment, squash, sweet potato, turnip, potato, and carrot were examined in 2020 and 2021 in two different areas of Hamadori (coastal region in Fukushima Prefecture). Transfer factor (TF) was calculated by dividing harvest radioactivity (Bq kg<sup>−1</sup> dry or fresh) to soil radioactivity (Bq kg<sup>−1</sup> dry) and was negatively correlated with the amount of exchangeable K (ExK) at harvest, regardless of the species, year, and location. In the pot experiment, edamame (immature soybean seed), spinach, turnip, and komatsuna were cultivated, and it was confirmed that ExK was the most powerful factor in regulating TF. Based on the relationship between ExK and TF for each vegetable species, the amount of ExK required to keep the <sup>137</sup>Cs concentration lower than a certain level (standard limitation value and one-quarter of that value) was calculated.
DOI: 10.6084/m9.figshare.21670025.v1
title: Radioactive Cs transfer to vegetables after the FDNPP accident

description: To evaluate the effectiveness of potassium (K) application in mitigating<sup>137</sup>Cs transfer from soil to plants, several vegetable species were cultivated under field and pot experiments. In the field experiment, squash, sweet potato, turnip, potato, and carrot were examined in 2020 and 2021 in two different areas of Hamadori (coastal region in Fukushima Prefecture). Transfer factor (TF) was calculated by dividing harvest radioactivity (Bq kg<sup>−1</sup> dry or fresh) to soil radioactivity (Bq kg<sup>−1</sup> dry) and was negatively correlated with the amount of exchangeable K (ExK) at harvest, regardless of the species, year, and location. In the pot experiment, edamame (immature soybean seed), spinach, turnip, and komatsuna were cultivated, and it was confirmed that ExK was the most powerful factor in regulating TF. Based on the relationship between ExK and TF for each vegetable species, the amount of ExK required to keep the <sup>137</sup>Cs concentration lower than a certain level (standard limitation value and one-quarter of that value) was calculated.
DOI: 10.6084/m9.figshare.22284385
title: Development and evaluation of prevention bundle for neonatal healthcare-associated infections

description: Root cause analysis, Observations and survey, testing of the prevention bundles
DOI: 10.6084/m9.figshare.22284385.v8
title: Development and evaluation of prevention bundle for neonatal healthcare-associated infections

description: Root cause analysis, Observations and survey, testing of the prevention bundles
DOI: 10.21227/5jwn-qx81
title: FFT of tactile sensor data

description: Vibration data for input to the Generator. The image shows (b).