cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/djwszrysdk.1
title: Inlet migration during the turning point between transgressive and regressive stages at the Guaratuba Holocene barrier, Paraná - Southern Brazil

description: The dataset includes the raw GPR and DGPS data with shapefiles and vibrocore location.
DOI: 10.17632/685y557cth.1
title: Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes

description: Data regarding the below study:
Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes
DOI: 10.17632/d3d488fj8n.1
title: MicroRNA-dependent suppression of biological pacemaker induced by chemically modified messenger RNA. Sanchez et al

description: Chemically-modified messenger RNA (CMmRNA) with selectively altered nucleotides are used to deliver transgenes, but translation efficiency is variable. We have transfected CMmRNA encoding human T-box transcription factor 18 (CMmTBX18) into heart cells, or the left ventricle of rats with atrioventricular block. TBX18 protein expression from CMmTBX18 is weak and transient, but Acriflavine, an Argonaute 2 inhibitor, boosts TBX18 levels. Small RNA sequencing identified two upregulated microRNAs (miRs) in CMmTBX18 transfected cells. Co-administration of miR-1-3p and miR-1b antagomiRs with CMmTBX18 prolongs TBX18 expression in vitro and in vivo, and is sufficient to generate electrical stimuli capable of pacing the heart. Different suppressive miRs likewise limit the expression of VEGF-A CMmRNA. Cells therefore resist translation of CMmRNA therapeutic transgenes by upregulating suppressive miRs.  Blockade of suppressive miRs enhances CMmRNA expression of genes driving biological pacing or angiogenesis. Such counterstrategies constitute an approach to boost the efficacy and efficiency of CMmRNA therapies.
DOI: 10.26093/cds/vizier.22620016
title: Column density maps for MWISP ^13^CO mol. clouds

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Gas column density distribution of molecular clouds in the third quadrant of the Milky Way.' (bibcode: 2022ApJS..262...16M)
DOI: 10.26093/cds/vizier.22620018
title: Spectral energy distributions for 4FGL blazars

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The spectral energy distributions for 4FGL blazars.' (bibcode: 2022ApJS..262...18Y)
DOI: 10.17632/8f63frhf32.1
title: Cuban National Chemistry Contest 2017

description: This contribution compiles the problems, solutions and results of the Cuban chemistry olympiad for high school students celebrated nationwide in 2017. The Cuban National Chemistry Contest (CNQ, Concurso Nacional de Química, official name in Spanish) is a yearly competition intended to stimulate high school students the study chemical sciences during their bachelor's. It is sponsored by the Cuban Ministry of Education (MINED, official acronym in Spanish). Tenth-, eleventh- and twelfth-graders (15-17 years old, on average) are welcome to participate. This event is preceded by the Municipal Contest at each high school and the Provincial Contest in every province of Cuba. Winners of the latter are invited to participate in the national event. This Cuban chemistry olympiad takes place at the Vocational High School for Exact Sciences (IPVCE, official acronym in Spanish) in every province. It is organized as a two-day event in February or March every year. During the competition, the students try to solve two sets of theoretical or theoretical-practical problems elaborated by previous olympics and mentors. The qualification of the exams is performed in Havana by a tribunal integrated by selected teachers from all over the country. The highest scores are priced with gold, silver and bronze medals. Top winners can choose any career in science and the university they like the most to continue their studies with no need for additional requisites. In addition, they are part of the national pre-selection and are invited to Havana for a short training period. After a final selection round, the national team for the international chemistry olympiads is formed. 
As a particularity of the 2017 national contest, the Faculty of Chemistry of the University of Havana designed the problems. In the current edition, there were two theoretical problem sets. The first-day exam was intended for all grades (common problem set) and had four problems. Problem 1 had a multiple-choice format and was about general chemical knowledge. Problem 2 analyzed the kinetic data of a nucleophilic bimolecular substitution. In Problem 3, the student had to find the composition of an inorganic mixture through stoichiometry calculations. The second-day exam consisted of an individual problem set for each grade. Tenth-graders explored the combustion of ribose in Problem 4, the reactions of sodium compounds in Problem 5, the Born-Haber cycle of sodium chloride in Problem 6 and identified a non-metal and its oxygenated compounds in Problem 7. Eleventh-graders found the hydrate form of sodium sulfate in Problem 8, calculated the acidity of rain in Problem 9 and explored chlorine production in Problem 10. Twelve-graders derivatized carboxylic acids in Problem 11, found the stereochemistry of epoxide and diol formation in Problem 12 and calculated the solubility product of electrolytes in Problem 13. Herein, the problem sets are provided in the official Spanish version and English translation.
DOI: 10.17632/8f63frhf32.2
title: Cuban National Chemistry Contest 2017

description: This contribution compiles the problems, solutions and results of the Cuban chemistry olympiad for high school students celebrated nationwide in 2017. The Cuban National Chemistry Contest (CNQ, Concurso Nacional de Química, official name in Spanish) is a yearly competition intended to stimulate high school students the study chemical sciences during their bachelor's. It is sponsored by the Cuban Ministry of Education (MINED, official acronym in Spanish). Tenth-, eleventh- and twelfth-graders (15-17 years old, on average) are welcome to participate. This event is preceded by the Municipal Contest at each high school and the Provincial Contest in every province of Cuba. Winners of the latter are invited to participate in the national event. This Cuban chemistry olympiad takes place at the Vocational High School for Exact Sciences (IPVCE, official acronym in Spanish) in every province. It is organized as a two-day event in February or March every year. During the competition, the students try to solve two sets of theoretical or theoretical-practical problems elaborated by previous olympics and mentors. The qualification of the exams is performed in Havana by a tribunal integrated by selected teachers from all over the country. The highest scores are priced with gold, silver and bronze medals. Top winners can choose any career in science and the university they like the most to continue their studies with no need for additional requisites. In addition, they are part of the national pre-selection and are invited to Havana for a short training period. After a final selection round, the national team for the international chemistry olympiads is formed. 
As a particularity of the 2017 national contest, the Faculty of Chemistry of the University of Havana designed the problems. In the current edition, there were two theoretical problem sets. The first-day exam was intended for all grades (common problem set) and had four problems. Problem 1 had a multiple-choice format and was about general chemical knowledge. Problem 2 analyzed the kinetic data of a nucleophilic bimolecular substitution. In Problem 3, the student had to find the composition of an inorganic mixture through stoichiometry calculations. The second-day exam consisted of an individual problem set for each grade. Tenth-graders explored the combustion of ribose in Problem 4, the reactions of sodium compounds in Problem 5, the Born-Haber cycle of sodium chloride in Problem 6 and identified a non-metal and its oxygenated compounds in Problem 7. Eleventh-graders found the hydrate form of sodium sulfate in Problem 8, calculated the acidity of rain in Problem 9 and explored chlorine production in Problem 10. Twelve-graders derivatized carboxylic acids in Problem 11, found the stereochemistry of epoxide and diol formation in Problem 12 and calculated the solubility product of electrolytes in Problem 13. Herein, the problem sets are provided in the official Spanish version and English translation.
DOI: 10.5517/ccdc.csd.cc2bc0mc
title: CCDC 2155542: Experimental Crystal Structure Determination

description: Related Article: Jiang Peng|2022|CSD Communication|||
description: Related Article: Jiang Peng, Chuchu Han, Jiakun Bai, Jinzeng Wang, Xiumian Cao, Junhui Jia, Yifan Wang, Jinnan Wu|2022|Cryst.Growth Des.|22|7187|doi:10.1021/acs.cgd.2c00855
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.cc2btysx
title: CCDC 2169900: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Jesús Campos, Jesús Jover, Santiago Álvarez, Ernesto Carmona|2022|Organometallics|41|3225|doi:10.1021/acs.organomet.2c00216
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.cc2btyty
title: CCDC 2169901: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Jesús Campos, Jesús Jover, Santiago Álvarez, Ernesto Carmona|2022|Organometallics|41|3225|doi:10.1021/acs.organomet.2c00216
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.cc2btyvz
title: CCDC 2169902: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Jesús Campos, Jesús Jover, Santiago Álvarez, Ernesto Carmona|2022|Organometallics|41|3225|doi:10.1021/acs.organomet.2c00216
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.cc2btyw0
title: CCDC 2169903: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Jesús Campos, Jesús Jover, Santiago Álvarez, Ernesto Carmona|2022|Organometallics|41|3225|doi:10.1021/acs.organomet.2c00216
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.cc2btyx1
title: CCDC 2169904: Experimental Crystal Structure Determination

description: Related Article: Marina Pérez-Jiménez, Jesús Campos, Jesús Jover, Santiago Álvarez, Ernesto Carmona|2022|Organometallics|41|3225|doi:10.1021/acs.organomet.2c00216
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.cc2bz9yl
title: CCDC 2174090: Experimental Crystal Structure Determination

description: Related Article: Ming Liu, Shu Jiang, Yanping Ma, Gregory A. Solan, Yang Sun, Wen-Hua Sun|2022|Organometallics|41|3237|doi:10.1021/acs.organomet.2c00252
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.cc2d0j21
title: CCDC 2205032: Experimental Crystal Structure Determination

description: Related Article: Harmeet Bhoday, Steven P. Kelley, Rainer Glaser|2022|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: 10.5517/ccdc.csd.cc2bqksf
title: CCDC 2166645: Experimental Crystal Structure Determination

description: Related Article: Jin Wang, Na Li, Xiao-Qin Yang, Li-Li Wang, Rui-Yao Ni|2022|Dyes Pigm.|207|110732|doi:10.1016/j.dyepig.2022.110732
description: Related Article: jin WANG|2022|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: 10.5517/ccdc.csd.cc2c5rbn
title: CCDC 2180271: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.cc2d043p
title: CCDC 2204661: Experimental Crystal Structure Determination

description: Related Article: Geonwoo Gwak, Seonghyeon An, Dongwon Kim, Martino Di Serio, Ok-Sang Jung|2022|New J.Chem.|46|23239|doi:10.1039/D2NJ04751A
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.cc2bvtvw
title: CCDC 2170739: Experimental Crystal Structure Determination

description: Related Article: Nina Podjed, Barbara Modec|2022|New J.Chem.|46|23225|doi:10.1039/D2NJ04668G
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.cc2bvv46
title: CCDC 2170748: Experimental Crystal Structure Determination

description: Related Article: Nina Podjed, Barbara Modec|2022|New J.Chem.|46|23225|doi:10.1039/D2NJ04668G
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.cc2bvttv
title: CCDC 2170738: Experimental Crystal Structure Determination

description: Related Article: Nina Podjed, Barbara Modec|2022|New J.Chem.|46|23225|doi:10.1039/D2NJ04668G
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.cc2c5r5h
title: CCDC 2180266: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.cc2c5r6j
title: CCDC 2180267: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.cc2c5r7k
title: CCDC 2180268: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.7430272
title: UTE Brain Sample dataset

description: This repository contains raw data (Pfile) and image reconstructions for UTE acquisitions at 18 degree, 12 degree, 6 degree flip angles and a UTE AFI sequence. All scans were performed on the same volunteer taken at UCSF on a 3T GE MRI scanner.
description: {"references": ["Boucneau T, Cao P, Tang S, Han M, Xu D, Henry RG, Larson PEZ. In vivo characterization of brain ultrashort-T2 components. Magn Reson Med. 2018 Aug;80(2):726-735. doi: 10.1002/mrm.27037. Epub 2017 Dec 1. PMID: 29194734; PMCID: PMC5910201."]}
DOI: 10.5281/zenodo.7430273
title: UTE Brain Sample dataset

description: This repository contains raw data (Pfile) and image reconstructions for UTE acquisitions at 18 degree, 12 degree, 6 degree flip angles and a UTE AFI sequence. All scans were performed on the same volunteer taken at UCSF on a 3T GE MRI scanner.
description: {"references": ["Boucneau T, Cao P, Tang S, Han M, Xu D, Henry RG, Larson PEZ. In vivo characterization of brain ultrashort-T2 components. Magn Reson Med. 2018 Aug;80(2):726-735. doi: 10.1002/mrm.27037. Epub 2017 Dec 1. PMID: 29194734; PMCID: PMC5910201."]}
DOI: 10.25921/48jd-cw33
title: ES60 Water Column Sonar Data Collected During GOA13AP
DOI: 10.6084/m9.figshare.21678833
title: Liu et al_lipidomics.xlsx

description: WT and KRASG12V-expressing MDCK cells were treated with glucose-free medium (4h), UGCG inhibtior DL-PDMP (24h), glycolysis inhibitor 2DG (24h) before harvested for shot-gun mass spectrometry-based lipid analysis, performed by Lipotype GmbH (Dresden, Germany). Three biological replicates were included for each condition. Data are represented as molar precentages of total lipids.
DOI: 10.6073/pasta/ee83e656e9b05c6615159dfa899d5afd
title: CBH01 Konza Prairie bison herd information

description: The purpose of this study is to monitor long-term changes in individual animal mass. The datasets include an annual summary of the bison herd structure, end-of-season weights of individual animals, and maternal parentage of individual bison.
DOI: 10.6084/m9.figshare.21667874.v1
title: Unified Graph Neural Network Force-field for the Periodic Table for Solids

description: GitHub-repo: https://github.com/usnistgov/alignn <br> Dataset, model training config file and model for ALIGNN-FF: <br> To train the model: <br> train_folder_ff.py --root_dir "PATH" --config "config.json" --output_dir="temp" <br> Here, train_folder_ff.py is a global executable that comes with ALIGNN installation. PATH is the folder path where you kept the id_prop.json file after untarring it (tar -xvzf id_prop.json.tgz). config.json is the configuration file provided here. <br> Note that the energy data is energy/per atom in eV and forces on atoms are in eV/Angstrom. <br> To use the model: <br> <pre><code>run_alignn_ff.py --file_path alignn/examples/sample_data/POSCAR-JVASP-10.vasp --task="unrelaxed_energy"</code></pre> <pre><code><br></code></pre> <pre><code><br></code></pre>
DOI: 10.6084/m9.figshare.21432804.v3
title: EPOS-based Plans for Drones

description: The data is used for training and testing in EPOS-based coordination of drones in scale to complete spatio-temporal sensing tasks. The data is generated via the proposed plan generation strategy.
DOI: 10.5517/ccdc.csd.cc2c5r8l
title: CCDC 2180269: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.cc2c5r9m
title: CCDC 2180270: Experimental Crystal Structure Determination

description: Related Article: M. K. Pal, A. G. Majumdar, K. V. Vivekananda, A. P. Wadawale, M. Subramanian, N. Bhuvanesh, S. Dey|2022|New J.Chem.|46|23198|doi:10.1039/D2NJ03931A
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.