cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh099958.07fu
title: SH099958.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh099959.07fu
title: SH099959.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.7768265
title: GMAW & WAAM Process monitoring using XARION Eta300 Ultra laser microphone

description: Repository contains extra wide bandwidth acoustic process monitoring data of a stable and unstable gas metal arc welding (GMAW) process variant Fronius "cold metal transfer" (CMT) of G3Si1 steel wire, which is used for additive manufacturing. Additional Video acquisition of the welding process is provided.
DOI: 10.5281/zenodo.7768264
title: GMAW & WAAM Process monitoring using XARION Eta300 Ultra laser microphone

description: Repository contains extra wide bandwidth acoustic process monitoring data of a stable and unstable gas metal arc welding (GMAW) process variant Fronius "cold metal transfer" (CMT) of G3Si1 steel wire, which is used for additive manufacturing. Additional Video acquisition of the welding process is provided.
DOI: 10.25494/p6089r
title: Development of a Statewide Estuary Monitoring Program to Evaluate California’s Estuarine Marine Protected Areas

description: California’s estuaries are influenced by watershed land use, coastal infrastructure, water resource management, and other stressors. To address the monitoring needs of Estuary Marine Protected Areas (EMPA), the California Ocean Protection Council (OPC) funded development of a monitoring framework and program to provide data and information necessary to answer critical management questions about both MPA and non-MPA estuaries statewide. The integrated estuarine monitoring framework, developed by a statewide technical team (working with a Management Advisory Committee), provides sampling design, standard protocols, and data management tools to facilitate collection, integration, and dissemination of biotic and abiotic data in a consistent and accessible manner. A monitoring manual and associated website provide details and documentation of the scientific basis and the tools necessary to implement the monitoring program. The technical team has also produced a data report to illustrate how data collected through the monitoring program can be used to answer scientific and management questions about estuary health and stressors, and how that information can inform management decisions.
DOI: 10.6084/m9.figshare.22350910
title: Data for High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites

description: Data for High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites <br> - XRD patterns for PEA-FA films with different solvents DMF, DMF:DMSO(4:1), and GBL (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - XRD patterns for PEA-FA films with GBL before and after thermal annealing (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - CL data for PEA-FA films with GBL before and after thermal annealing (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - CL data for PEA-FA films with different solvents DMF, DMF:DMSO(4:1), and GBL (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios)
DOI: 10.6084/m9.figshare.22350910.v1
title: Data for High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites

description: Data for High-Throughput Automated Exploration of Phase Growth Kinetics in Quasi-2D Formamidinium Metal Halide Perovskites <br> - XRD patterns for PEA-FA films with different solvents DMF, DMF:DMSO(4:1), and GBL (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - XRD patterns for PEA-FA films with GBL before and after thermal annealing (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - CL data for PEA-FA films with GBL before and after thermal annealing (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios) - CL data for PEA-FA films with different solvents DMF, DMF:DMSO(4:1), and GBL (different PEA<sub>2</sub>PbI<sub>4</sub>:FAPbI<sub>3</sub> compositional ratios)
DOI: 10.6084/m9.figshare.22350943
title: ChatGPT conversation: DOIit Chrome Extension Install.

description: A conversation using OpenAI chat: 03/28/2023 14:54:06
DOI: 10.6084/m9.figshare.22350943.v1
title: ChatGPT conversation: DOIit Chrome Extension Install.

description: A conversation using OpenAI chat: 03/28/2023 14:54:06
DOI: 10.34740/kaggle/dsv/5258095
title: US counties COVID 19 dataset
DOI: 10.17909/wzeq-f536
title: WFC3/ACS observations of 3 z>6 quasars
DOI: 10.5281/zenodo.7703392
title: Data and code to next-generation ensemble projections reveal higher climate risks for marine ecosystems

description: Data products: <strong>Tittensor et al. (2021). Next-generation ensemble projections reveal higher climate risks for marine ecosystems, Nature Climate Change. DOI: https://doi.org/10.1038/s41558-021-01173-9 </strong> This data was produced using R scripts available on the GitHub repository https://github.com/Fish-MIP/CMIP5vsCMIP6, and was used for analysis and plotting in Tittensor et al. (2021). These R scripts are also available here as CMIP5vsCMIP6_code.zip Data_CMIP5.Rdata and Data_CMIP6.RData include all data used to produce global maps of percentage change in total consumer biomass. Data_trends_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in total consumer biomass. Data_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce global maps of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature. Data_trends_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature. The suffix _reducedModelSet refers to the case when only the subset of Fish-MIP models in Lotze et al. (2019) - Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change, PNAS, DOI: https://doi.org/10.1073/pnas.1900194116 - are considered. This data was used to produce some of the supplementary figures in Tittensor et al. (2021). Please contact Derek Tittensor (derek.tittensor@dal.ca), Camilla Novaglio (camilla.novaglio@gmail.com), or Julia Blanchard (julia.blanchard@utas.edu.au) for data interpretation and use.
DOI: 10.5281/zenodo.7703393
title: Data and code to next-generation ensemble projections reveal higher climate risks for marine ecosystems

description: Data products: <strong>Tittensor et al. (2021). Next-generation ensemble projections reveal higher climate risks for marine ecosystems, Nature Climate Change. DOI: https://doi.org/10.1038/s41558-021-01173-9 </strong> This data was produced using R scripts available on the GitHub repository https://github.com/Fish-MIP/CMIP5vsCMIP6, and was used for analysis and plotting in Tittensor et al. (2021). These R scripts are also available here as CMIP5vsCMIP6_code.zip Data_CMIP5.Rdata and Data_CMIP6.RData include all data used to produce global maps of percentage change in total consumer biomass. Data_trends_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in total consumer biomass. Data_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce global maps of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature. Data_trends_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature. The suffix _reducedModelSet refers to the case when only the subset of Fish-MIP models in Lotze et al. (2019) - Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change, PNAS, DOI: https://doi.org/10.1073/pnas.1900194116 - are considered. This data was used to produce some of the supplementary figures in Tittensor et al. (2021). Please contact Derek Tittensor (derek.tittensor@dal.ca), Camilla Novaglio (camilla.novaglio@gmail.com), or Julia Blanchard (julia.blanchard@utas.edu.au) for data interpretation and use.
DOI: 10.5517/ccdc.csd.cc2dztjr
title: CCDC 2234155: Experimental Crystal Structure Determination

description: Related Article: Ian Bakanas, Jess C. Tang, Richmond Sarpong|2023|Chem.Commun.|59|3858|doi:10.1039/D3CC00945A
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.cc2dztks
title: CCDC 2234156: Experimental Crystal Structure Determination

description: Related Article: Ian Bakanas, Jess C. Tang, Richmond Sarpong|2023|Chem.Commun.|59|3858|doi:10.1039/D3CC00945A
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.cc2f04wh
title: CCDC 2234476: Experimental Crystal Structure Determination

description: Related Article: Hong-Bo Tan, Yuan-Hui Yu, Ze-Hui Qi, Xu Zhang, Zhi-Gang Xu, Dian-Yong Tang, Zhong-Zhu Chen, Bo-Chu Wang, Xian-You Qu|2023|J.Mol.Struct.|1283|135308|doi:10.1016/j.molstruc.2023.135308
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.cc2f096z
title: CCDC 2234610: Experimental Crystal Structure Determination

description: Related Article: Weihong Song, Jing Guo, Douglas W. Stephan|2023|Org.Chem.Front.|10|1754|doi:10.1039/D3QO00054K
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.cc2f0970
title: CCDC 2234611: Experimental Crystal Structure Determination

description: Related Article: Weihong Song, Jing Guo, Douglas W. Stephan|2023|Org.Chem.Front.|10|1754|doi:10.1039/D3QO00054K
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.cc2f0981
title: CCDC 2234612: Experimental Crystal Structure Determination

description: Related Article: Weihong Song, Jing Guo, Douglas W. Stephan|2023|Org.Chem.Front.|10|1754|doi:10.1039/D3QO00054K
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.cc2f0vw6
title: CCDC 2235158: Experimental Crystal Structure Determination

description: Related Article: Jun-Song Tian, Zhi Tu, Feng Zhou, Jin-Sheng Yu, Jian Zhou|2023|Org.Chem.Front.|10|1759|doi:10.1039/D3QO00114H
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.cc2f0xft
title: CCDC 2235206: Experimental Crystal Structure Determination

description: Related Article: Lianyi Cao, Fangzhi Hu, Jiacheng Dong, Xiao-Mei Zhang, Shuai-Shuai Li|2023|Org.Chem.Front.|10|1796|doi:10.1039/D3QO00035D
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.cc2f11k3
title: CCDC 2235334: Experimental Crystal Structure Determination

description: Related Article: Ying-Xue Jin, Jie Chen, Yong-Jun Chen, Wei-Hua Deng, Xiao-Liang Ye, Guan-E Wang, Gang Xu|2023|J.Mater.Chem.A|11|7179|doi:10.1039/D3TA00377A
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.cc2f13tf
title: CCDC 2235404: Experimental Crystal Structure Determination

description: Related Article: Wenqi Liu, Meng Zang, Jian Zhang, Quannan Wang, Yang-Zi Liu, Wei-Ping Deng|2023|Org.Chem.Front.|10|1680|doi:10.1039/D3QO00070B
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.cc2f14k6
title: CCDC 2235427: Experimental Crystal Structure Determination

description: Related Article: Stefan Repp, Kim Lara Junginger, Dieter Sorsche, Theresa Zorn, Ann-Christin Pöppler, Yuji Kikukawa, Yoshihito Hayashi, Carsten Streb|2023|Dalton Trans.|52|4002|doi:10.1039/D3DT00252G
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.cc2f1nfl
title: CCDC 2235919: Experimental Crystal Structure Determination

description: Related Article: Maksym Dekhtiarenko, György Szalóki, Vincent Croué, Jennifer Bou Zeid, David Canevet, Magali Allain, Vincent Carré, Frédéric Aubriet, Zoia Voitenko, Marc Sallé, Sébastien Goeb|2023|Org.Chem.Front.|10|1803|doi:10.1039/D3QO00214D
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.cc2f1sgr
title: CCDC 2236044: Experimental Crystal Structure Determination

description: Related Article: Siqi Dong, Shaofeng Xu, Yashi Zou, Zhaodi Li, Kai Xu, Daxu Fu, Delong Liu, Wanbin Zhang|2023|Org.Chem.Front.|10|1731|doi:10.1039/D3QO00055A
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.cc2f2ddb
title: CCDC 2236631: Experimental Crystal Structure Determination

description: Related Article: Xiaoxun Yan, Shangyu Su, Xiaowu Li, Shan Jin, Manzhou Zhu|2023|Dalton Trans.|52|4251|doi:10.1039/D3DT00202K
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.cc2f2dfc
title: CCDC 2236632: Experimental Crystal Structure Determination

description: Related Article: Xiaoxun Yan, Shangyu Su, Xiaowu Li, Shan Jin, Manzhou Zhu|2023|Dalton Trans.|52|4251|doi:10.1039/D3DT00202K
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.cc2f2ly2
title: CCDC 2236834: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc2f2lz3
title: CCDC 2236835: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc29l0xv
title: CCDC 2132487: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc2f2m05
title: CCDC 2236836: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc29l0yw
title: CCDC 2132488: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.cc29l0zx
title: CCDC 2132489: Experimental Crystal Structure Determination

description: Related Article: Deepamali Dissanayake, Craig Forsyth, Dragoslav Vidović|2023|Dalton Trans.|52|4063|doi:10.1039/D3DT00206C
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.