cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bmzwv
title: CCDC 2164168: Experimental Crystal Structure Determination

description: Related Article: Rehana Pervin, Anjay Manian, Zifei Chen, Andrew J. Christofferson, Tze Cin Owyong, Siobhan J. Bradley, Jonathan M. White, Kenneth P. Ghiggino, Salvy P. Russo, Wallace W.H. Wong|2023|J.Photochem.Photobiol.A:Chem.|436|114364|doi:10.1016/j.jphotochem.2022.114364
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.cc2bmzxw
title: CCDC 2164169: Experimental Crystal Structure Determination

description: Related Article: Rehana Pervin, Anjay Manian, Zifei Chen, Andrew J. Christofferson, Tze Cin Owyong, Siobhan J. Bradley, Jonathan M. White, Kenneth P. Ghiggino, Salvy P. Russo, Wallace W.H. Wong|2023|J.Photochem.Photobiol.A:Chem.|436|114364|doi:10.1016/j.jphotochem.2022.114364
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.cc2br7t5
title: CCDC 2167297: Experimental Crystal Structure Determination

description: Related Article: Shijie Zhang, Wei-xiao Hu |2023|Zhongguo Yaowu Huaxue Zazhi|33|13|doi:10.14142/j.cnki.cn21-1313/r.2023.01.002
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: 10.7910/dvn/fnkstc
title: YOLOv5_FPC-Extracted Four-Panel-Cartoon (FPC) from Chosun Ilbo News Library (1920-1940)

description: This dataset consists of 1035 JPEG files, encompassing 1040 Four-Panel-Cartoon (FPC) objects. These were identified from a larger set of 47,777 files in the Chosun Ilbo Newspaper Digital Archives covering the period from 1920 to 1940, which can be accessed at https://newslibrary.chosun.com/. The image extraction process was automated using the YOLOv5_FPC model, a fine-tuned iteration of the YOLOv5 model.
DOI: 10.5281/zenodo.7649369
title: Viral genomes, functional genes, and microbial genomes of activated sludge taken from 54 WWTPs across 13 countries

description: The study dataset contains 85,114 viral genomes, 1,115,185 viral functional genes, and 3,823 microbial genomes obtained from 54 WWTPs across 13 countries.
DOI: 10.5517/ccdc.csd.cc2bmd2g
title: CCDC 2163585: Experimental Crystal Structure Determination

description: Related Article: Mahmoud G. Abo Al-Hamd, Haytham O. Tawfik , Omeima Abdullah, Koki Yamaguchi, Masaharu Sugiura, Ahmed B. M. Mehany, Mervat H. El-Hamamsy, Tarek F. El-Moselhy|2023|J.Enzyme Inhib.Med.Chem.|38|2241674|doi:10.1080/14756366.2023.2241674
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.cc2bnk0l
title: CCDC 2164699: Experimental Crystal Structure Determination

description: Related Article: Paulo Miguel Simon, Jonathan O. Castillo, Tze Cin Owyong, Jonathan M. White, Nicolau Saker Neto, Wallace W. H. Wong|2023|J.Org.Chem.|88|1590|doi:10.1021/acs.joc.2c02651
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.cc2bnk2n
title: CCDC 2164701: Experimental Crystal Structure Determination

description: Related Article: Paulo Miguel Simon, Jonathan O. Castillo, Tze Cin Owyong, Jonathan M. White, Nicolau Saker Neto, Wallace W. H. Wong|2023|J.Org.Chem.|88|1590|doi:10.1021/acs.joc.2c02651
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.cc2gsg2t
title: CCDC 2287616: Experimental Crystal Structure Determination

description: Related Article: Tian-Shu Zhang, Jing Li, Hua Sun, Shuai Liu, Jing Li, Yan Chen, Wen-Juan Hao, Bo Jiang|2023|Tetrahedron|147|133661|doi:10.1016/j.tet.2023.133661
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.24418102
title: <b>I</b><b>n-situ elemental and boron isotope compositions of tourmaline</b>

description: The dataset of major, trace elements and B isotope of tourmaline from the Nong Sua tin deposit
DOI: 10.6084/m9.figshare.24418102.v1
title: <b>I</b><b>n-situ elemental and boron isotope compositions of tourmaline</b>

description: The dataset of major, trace elements and B isotope of tourmaline from the Nong Sua tin deposit
DOI: 10.6084/m9.figshare.24418135
title: Material Complementario

description: Este conjunto de datos contiene información relevante acerca de una experiencia tecnopedagógica.
DOI: 10.6084/m9.figshare.24418135.v1
title: Material Complementario

description: Este conjunto de datos contiene información relevante acerca de una experiencia tecnopedagógica.
DOI: 10.25625/eeujkb/fyiqrh
title: PTPN_14_23_checked.xlsx

description: see metadata
DOI: 10.25625/eeujkb/vh9ef7
title: Metadata_Plot_Stations.tab

description: see metadata
DOI: 10.25625/eeujkb
title: PTPN_qualityCHECKED

description: see metadata
DOI: 10.6084/m9.figshare.24418147
title: Supplementary Material S3.xlsx

description: <i>C. elegans</i> populations were maintained on Normal Growth Media (NGM) circular plates (60 mm x 15 mm) seeded with 100 µL of OP50 <i>Escherichia coli</i>, cultured in B broth. We used square petri plates (100 mm x 100 mm) to design a variety of distributions of resource (<i>E. coli</i>)<i> </i>and toxicant (CuSO<sub>4</sub>·5H<sub>2</sub>O). Initially, three L4 worms were added at the center of each petri dish (between rows C and D, and columns 3 and 4). All the experimental plates were kept in a 20°C incubator for approximately 120 hours, the amount of time it takes for the majority of the worms to reach the size that are easily counted under the microscope (above L3 stage) before the food is depleted. After this time had passed, the experimental plates were moved into a refrigerator (4°C) for about 30 minutes to let the low temperature slow the movements of the worms, making them easier to count. The abundance of <i>C. elegans</i> (stage L3 and above) within each of the twelve sections were counted and recorded.
DOI: 10.6084/m9.figshare.24418147.v1
title: Supplementary Material S3.xlsx

description: <i>C. elegans</i> populations were maintained on Normal Growth Media (NGM) circular plates (60 mm x 15 mm) seeded with 100 µL of OP50 <i>Escherichia coli</i>, cultured in B broth. We used square petri plates (100 mm x 100 mm) to design a variety of distributions of resource (<i>E. coli</i>)<i> </i>and toxicant (CuSO<sub>4</sub>·5H<sub>2</sub>O). Initially, three L4 worms were added at the center of each petri dish (between rows C and D, and columns 3 and 4). All the experimental plates were kept in a 20°C incubator for approximately 120 hours, the amount of time it takes for the majority of the worms to reach the size that are easily counted under the microscope (above L3 stage) before the food is depleted. After this time had passed, the experimental plates were moved into a refrigerator (4°C) for about 30 minutes to let the low temperature slow the movements of the worms, making them easier to count. The abundance of <i>C. elegans</i> (stage L3 and above) within each of the twelve sections were counted and recorded.
DOI: 10.6084/m9.figshare.24418153
title: State Capacity and Access to Water

description: Data on State Capacity and Access to Water
DOI: 10.6084/m9.figshare.24418153.v1
title: State Capacity and Access to Water

description: Data on State Capacity and Access to Water
DOI: 10.6084/m9.figshare.24418162
title: Rapid change of dissolved organic matter in surface water off Western Antarctic Peninsula during summers of 2018-2020

description: Recent warming has caused the rapid change of marine ecosystem in the Western Antarctic Peninsula (WAP). However, the response of dissolved organic matter (DOM) to this change is not well understood. In this study, we investigated the quantity and quality of DOM in surface water in the WAP during Austral summers of 2018, 2019 and 2020 using elemental analysis, optical spectrometry and high-resolution mass spectrometry. We found continuously augment for dissolved organic carbon (DOC) concentration from 2018 to 2020 (43.1 ± 12.7 vs. 60.2 ± 23.0 vs. 72.6 ± 24.5 μmol C L-1), and higher chromophoric DOM concentration in 2018 than that in 2019 and 2020. Additionally, samples in 2018 had the lowest BIX, SUVA254, HIX, AImod and photolabile humic-like component intensity, suggesting more extensive microbial transformation from biolabile protein-rich DOM to bio-refractory humic-like DOM. In contrast, samples in 2020 had the highest BIX and more bio-labile compounds, but the lowest a350, SUVA254, HIX and AImod, suggesting greater contributions of fresh biolabile compounds. A positive correlation between DOC concentration and salp abundance in 2020 suggests that salps may be an important contributor to DOM in surface water in the WAP. These data, plus significant correlations between environmental factors and DOM-derived parameters, suggest that the variability in zooplankton community (salps vs. krill), primary productivity and microbial activity are responsible for substantial changes of DOM in the WAP.
DOI: 10.6084/m9.figshare.24418162.v1
title: Rapid change of dissolved organic matter in surface water off Western Antarctic Peninsula during summers of 2018-2020

description: Recent warming has caused the rapid change of marine ecosystem in the Western Antarctic Peninsula (WAP). However, the response of dissolved organic matter (DOM) to this change is not well understood. In this study, we investigated the quantity and quality of DOM in surface water in the WAP during Austral summers of 2018, 2019 and 2020 using elemental analysis, optical spectrometry and high-resolution mass spectrometry. We found continuously augment for dissolved organic carbon (DOC) concentration from 2018 to 2020 (43.1 ± 12.7 vs. 60.2 ± 23.0 vs. 72.6 ± 24.5 μmol C L-1), and higher chromophoric DOM concentration in 2018 than that in 2019 and 2020. Additionally, samples in 2018 had the lowest BIX, SUVA254, HIX, AImod and photolabile humic-like component intensity, suggesting more extensive microbial transformation from biolabile protein-rich DOM to bio-refractory humic-like DOM. In contrast, samples in 2020 had the highest BIX and more bio-labile compounds, but the lowest a350, SUVA254, HIX and AImod, suggesting greater contributions of fresh biolabile compounds. A positive correlation between DOC concentration and salp abundance in 2020 suggests that salps may be an important contributor to DOM in surface water in the WAP. These data, plus significant correlations between environmental factors and DOM-derived parameters, suggest that the variability in zooplankton community (salps vs. krill), primary productivity and microbial activity are responsible for substantial changes of DOM in the WAP.
DOI: 10.5281/zenodo.10031439
title: irisTECH: An in situ dataset for variable rate fertilization
title: Το έργο υλοποιείται στο πλαίσιο της Δράσης ΕΡΕΥΝΩ – ΔΗΜΙΟΥΡΓΩ – ΚΑΙΝΟΤΟΜΩ και συγχρηματοδοτείται από το Ευρωπαϊκό Ταμείο Περιφερειακής Ανάπτυξης της Ευρωπαϊκής Ένωσης και εθνικούς πόρους μέσω του Ε.Π. Ανταγωνιστικότητα, Επιχειρηματικότητα & Καινοτομία (κωδικός έργου: T2ΕΔΚ 02936))

description: In this repository we present the data from irisTECH pilot activities realted to variable rate fertilization. irisTECH aspires to develop a novel, easy-to-use and low-cost, variable rate fertilization system for application in linear crops. The project is based on hyperspectral sensors and actuators combined with the functions of a system utilizing artificial intelligence technology in order to perform real time identification of crop/soil system in fertilizer and then apply the necessary quantity of granular fertilizers if needed. The proposed approach is opposed to existing solutions that require information collection, offline map editing and mapping, and then re-visit to the field for application. irisTECH utilizes state-of-the-art technologies and in particular emerging developments in the field of internet of things (IoT), artificial intelligence, embedded systems, cloud computing and image processing. In this rapidly expanding market, from a commercial perspective, the proposed project aspires to be an important research and innovation action with a targeted impact at national and wider international level.
DOI: 10.5281/zenodo.10031438
title: irisTECH: An in situ dataset for variable rate fertilization
title: Το έργο υλοποιείται στο πλαίσιο της Δράσης ΕΡΕΥΝΩ – ΔΗΜΙΟΥΡΓΩ – ΚΑΙΝΟΤΟΜΩ και συγχρηματοδοτείται από το Ευρωπαϊκό Ταμείο Περιφερειακής Ανάπτυξης της Ευρωπαϊκής Ένωσης και εθνικούς πόρους μέσω του Ε.Π. Ανταγωνιστικότητα, Επιχειρηματικότητα & Καινοτομία (κωδικός έργου: T2ΕΔΚ 02936))

description: In this repository we present the data from irisTECH pilot activities realted to variable rate fertilization. irisTECH aspires to develop a novel, easy-to-use and low-cost, variable rate fertilization system for application in linear crops. The project is based on hyperspectral sensors and actuators combined with the functions of a system utilizing artificial intelligence technology in order to perform real time identification of crop/soil system in fertilizer and then apply the necessary quantity of granular fertilizers if needed. The proposed approach is opposed to existing solutions that require information collection, offline map editing and mapping, and then re-visit to the field for application. irisTECH utilizes state-of-the-art technologies and in particular emerging developments in the field of internet of things (IoT), artificial intelligence, embedded systems, cloud computing and image processing. In this rapidly expanding market, from a commercial perspective, the proposed project aspires to be an important research and innovation action with a targeted impact at national and wider international level.
DOI: 10.5281/zenodo.7893114
title: Natural Language Annotations for Reasoning about Program Semantics

description: Natural language annotations about Python statements The dataset is made of pairs of files sharing the prefix of the filename * Annotations are in JSONL format (filenames ending with '_annot'), i.e. JSON objects separated by newline ('\n') characters * Reference source code files are in JSON format. (filenames ending with '_code') Source dataset : Programming Puzzles (Schuster et al. 2021, NeurIPS Dataset and benchmarks track) - MIT License - https://github.com/microsoft/PythonProgrammingPuzzles
DOI: 10.5281/zenodo.7950822
title: Natural Language Annotations for Reasoning about Program Semantics

description: Natural language annotations about Python statements The dataset is made of pairs of files sharing the prefix of the filename * Annotations are in JSONL format (filenames ending with '_annot'), i.e. JSON objects separated by newline ('\n') characters * Reference source code files are in JSON format. (filenames ending with '_code') Source dataset : Programming Puzzles (Schuster et al. 2021, NeurIPS Dataset and benchmarks track) - MIT License - https://github.com/microsoft/PythonProgrammingPuzzles
DOI: 10.5281/zenodo.8074867
title: Natural Language Annotations for Reasoning about Program Semantics

description: Natural language annotations about Python statements The dataset is made of pairs of files sharing the prefix of the filename * Annotations are in JSONL format (filenames ending with '_annot'), i.e. JSON objects separated by newline ('\n') characters * Reference source code files are in JSON format. (filenames ending with '_code') Source dataset : Programming Puzzles (Schuster et al. 2021, NeurIPS Dataset and benchmarks track) - MIT License - https://github.com/microsoft/PythonProgrammingPuzzles
DOI: 10.5281/zenodo.10031466
title: Natural Language Annotations for Reasoning about Program Semantics

description: Natural language annotations about Python statements


The dataset is made of pairs of files sharing the prefix of the filename


* Annotations are in JSONL format (filenames ending with '_annot'), i.e. JSON objects separated by newline ('\n') characters


* Reference source code files are in JSON format. (filenames ending with '_code')


 


Source dataset : Programming Puzzles (Schuster et al. 2021, NeurIPS Dataset and benchmarks track) - MIT License - https://github.com/microsoft/PythonProgrammingPuzzles
DOI: 10.5281/zenodo.7893113
title: Natural Language Annotations for Reasoning about Program Semantics

description: Natural language annotations about Python statements


The dataset is made of pairs of files sharing the prefix of the filename


* Annotations are in JSONL format (filenames ending with '_annot'), i.e. JSON objects separated by newline ('\n') characters


* Reference source code files are in JSON format. (filenames ending with '_code')


 


Source dataset : Programming Puzzles (Schuster et al. 2021, NeurIPS Dataset and benchmarks track) - MIT License - https://github.com/microsoft/PythonProgrammingPuzzles
DOI: 10.5517/ccdc.csd.cc2g4v3l
title: CCDC 2268769: Experimental Crystal Structure Determination

description: Related Article: Dipjyoti Dutta, Anamika Gogoi, Rupjyoti Dutta, Sarvesh S. Harmalkar, Prem Lama, Sandeep Kumar Dey|2023|CrystEngComm|25|5650|doi:10.1039/D3CE00599B
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.cc2g4v4m
title: CCDC 2268770: Experimental Crystal Structure Determination

description: Related Article: Dipjyoti Dutta, Anamika Gogoi, Rupjyoti Dutta, Sarvesh S. Harmalkar, Prem Lama, Sandeep Kumar Dey|2023|CrystEngComm|25|5650|doi:10.1039/D3CE00599B
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.cc2g4v5n
title: CCDC 2268771: Experimental Crystal Structure Determination

description: Related Article: Dipjyoti Dutta, Anamika Gogoi, Rupjyoti Dutta, Sarvesh S. Harmalkar, Prem Lama, Sandeep Kumar Dey|2023|CrystEngComm|25|5650|doi:10.1039/D3CE00599B
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.cc2g4v6p
title: CCDC 2268772: Experimental Crystal Structure Determination

description: Related Article: Dipjyoti Dutta, Anamika Gogoi, Rupjyoti Dutta, Sarvesh S. Harmalkar, Prem Lama, Sandeep Kumar Dey|2023|CrystEngComm|25|5650|doi:10.1039/D3CE00599B
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.cc2fr73k
title: CCDC 2256648: Experimental Crystal Structure Determination

description: Related Article: Manisha Manisha, Tanvi Jain, Sangeeta Kumari, Lalit Negi, Syed Q. Raza, Raj K. Joshi|2023|J.Organomet.Chem.|1001|122886|doi:10.1016/j.jorganchem.2023.122886
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.24418205
title: 20231023_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24418205.v1
title: 20231023_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.34740/kaggle/dsv/6765391
title: MoviesDatasets
DOI: 10.6084/m9.figshare.24418211
title: Roach 1996-2014 site-specific abundances.sav

description: Site-specific abundances of infection of roach by Rhipidocotyle fennica and R. campanula
DOI: 10.6084/m9.figshare.24418211.v1
title: Roach 1996-2014 site-specific abundances.sav

description: Site-specific abundances of infection of roach by Rhipidocotyle fennica and R. campanula