cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c7h04
title: CCDC 2181935: Experimental Crystal Structure Determination

description: Related Article: Riham Sghyar, S.M. Basavarajaiah, Alae Chda, Oussama Moussaoui, El Mestafa ElHadrami, Abdeslem Ben-Tama, Lotfi Aarab, Joel T. Mague, K. Prashantha, Mohammad Javeed, Nada Kheira Sebbar, El Mokhtar Essassi|2023|J.Mol.Struct.|1287|135695|doi:10.1016/j.molstruc.2023.135695
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.cc2dhs7y
title: CCDC 2219700: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dhs8z
title: CCDC 2219701: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dhs90
title: CCDC 2219702: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dhsb1
title: CCDC 2219703: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dhsc2
title: CCDC 2219704: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dhsd3
title: CCDC 2219705: Experimental Crystal Structure Determination

description: Related Article: Justin C. Wedal, Lauren M. Anderson-Sanchez, Megan T. Dumas, Colin A. Gould, María J. Beltrán-Leiva, Cristian Celis-Barros, Dayán Páez-Hernández, Joseph W. Ziller, Jeffrey R. Long, William J. Evans|2023|J.Am.Chem.Soc.|145|10730|doi:10.1021/jacs.3c01405
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.cc2dnvqn
title: CCDC 2224582: Experimental Crystal Structure Determination

description: Related Article: Honghong Guo, Jianying Lin, Qiang Liu, Xing Li|2023|Org.Biomol.Chem.|21|4269|doi:10.1039/D3OB00283G
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.cc2f92rl
title: CCDC 2243059: Experimental Crystal Structure Determination

description: Related Article: Tianrui Zhou, Yunluo Wang, Han Zhang, Zesheng Pan, Xueqing Ma, Yiyang Sun, Haijie Chen, Lianjun Wang, Wan Jiang|2023|Inorg.Chem.|62|7376|doi:10.1021/acs.inorgchem.3c00580
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.cc2f92sm
title: CCDC 2243060: Experimental Crystal Structure Determination

description: Related Article: Tianrui Zhou, Yunluo Wang, Han Zhang, Zesheng Pan, Xueqing Ma, Yiyang Sun, Haijie Chen, Lianjun Wang, Wan Jiang|2023|Inorg.Chem.|62|7376|doi:10.1021/acs.inorgchem.3c00580
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: 10.57841/casdc.0001020
title: 任意波形发生器研发测试数据集
DOI: 10.57841/casdc.0001021
title: 高动态范围锁相放大器测试数据集
DOI: 10.57841/casdc.0001022
title: 高速任意波形发生器测试数据集
DOI: 10.57841/casdc.0001023
title: 锁相放大器研发测试数据集
DOI: 10.57841/casdc.0001024
title: 任意序列发生器研发测试数据集
DOI: 10.57841/casdc.0001025
title: 十通道任意波形发生器数据集
DOI: 10.5517/ccdc.csd.cc240rrp
title: CCDC 1966942: Experimental Crystal Structure Determination

description: Related Article: Hongkui Zhang, Jiajia He, Yayun Chen, Cheng Zhuang, Chunhui Jiang, Kai Xiao, Zhishan Su, Xiaoyu Ren, Tianli Wang|2021|Angew.Chem.,Int.Ed.|60|19860|doi:10.1002/anie.202106046
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.cc2f9654
title: CCDC 2243165: Experimental Crystal Structure Determination

description: Related Article: Xuan Li, Xufeng Li, Wenwen Cui, Qilong Wu, Linyuan Wang, Jian Lv, Daoshan Yang|2023|Org.Lett.|25|3260|doi:10.1021/acs.orglett.3c00990
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.cc2fkpb1
title: CCDC 2251323: Experimental Crystal Structure Determination

description: Related Article: Adimulam Harinath, Himadri Karmakar, Devadkar Ajitaro Kisan, Hari Pada Nayek, Tarun K. Panda|2023|Org.Biomol.Chem.|21|4237|doi:10.1039/D3OB00453H
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.7967219
title: Data and code of Sr3PI3

description: Procedure for using data and code: 1.use quantum espresso software in linux operating system for running all the code.<br> 2.Make a psedo file with the pseudopotential of Sr, P, and I.<br> 2.Run the scf file by using the command: pw.x&lt;Sr3PI3.scf.in&gt;Sr3PI3.scf.out<br> 3.Run the nscf file by using the command: pw.x&lt;Sr3PI3.nscf.in&gt;Sr3PI3.nscf.out<br> 4.Run the bands file by using the command: bands.x&lt;Sr3PI3.bands.in&gt;Sr3PI3.bands.out and using plotband.x plot the bands fig in xmgrace.<br> 5.Run the pdos file by using the command: projwfc.x&lt;Sr3PI3.pdos.in&gt;Sr3PI3.pdos.out<br> 6.Run the eps file by using the command: epsilon.x&lt;Sr3PI3.eps.in&gt;Sr3PI3.eps.out<br> 7.Run the jdos file by using the command: epsilon.x&lt;Sr3PI3.jdos.in&gt;Sr3PI3.jdos.out
DOI: 10.5281/zenodo.7967220
title: Data and code of Sr3PI3

description: Procedure for using data and code: 1.use quantum espresso software in linux operating system for running all the code.<br> 2.Make a psedo file with the pseudopotential of Sr, P, and I.<br> 2.Run the scf file by using the command: pw.x&lt;Sr3PI3.scf.in&gt;Sr3PI3.scf.out<br> 3.Run the nscf file by using the command: pw.x&lt;Sr3PI3.nscf.in&gt;Sr3PI3.nscf.out<br> 4.Run the bands file by using the command: bands.x&lt;Sr3PI3.bands.in&gt;Sr3PI3.bands.out and using plotband.x plot the bands fig in xmgrace.<br> 5.Run the pdos file by using the command: projwfc.x&lt;Sr3PI3.pdos.in&gt;Sr3PI3.pdos.out<br> 6.Run the eps file by using the command: epsilon.x&lt;Sr3PI3.eps.in&gt;Sr3PI3.eps.out<br> 7.Run the jdos file by using the command: epsilon.x&lt;Sr3PI3.jdos.in&gt;Sr3PI3.jdos.out
DOI: 10.5281/zenodo.7967242
title: Data and code of Sr3PI3

description: Procedure for using data and code: 1.use quantum espresso software in linux operating system for running all the code.<br> 2.Make a psedo file with the pseudopotential of Sr, P, and I.<br> 2.Run the scf file by using the command: pw.x&lt;Sr3PI3.scf.in&gt;Sr3PI3.scf.out<br> 3.Run the nscf file by using the command: pw.x&lt;Sr3PI3.nscf.in&gt;Sr3PI3.nscf.out<br> 4.Run the bands file by using the command: bands.x&lt;Sr3PI3.bands.in&gt;Sr3PI3.bands.out and using plotband.x plot the bands fig in xmgrace.<br> 5.Run the pdos file by using the command: projwfc.x&lt;Sr3PI3.pdos.in&gt;Sr3PI3.pdos.out<br> 6.Run the eps file by using the command: epsilon.x&lt;Sr3PI3.eps.in&gt;Sr3PI3.eps.out<br> 7.Run the jdos file by using the command: epsilon.x&lt;Sr3PI3.jdos.in&gt;Sr3PI3.jdos.out
DOI: 10.6084/m9.figshare.23148046
title: LFM_alldata.xlsx from Macroscopic dental measures in guinea pigs (<i>Cavia porcellus</i>) fed natural and pelleted diets of different abrasiveness: implications for wear and compensatory growth in a hypselodont species

description: Dataset
DOI: 10.6084/m9.figshare.23148046.v1
title: LFM_alldata.xlsx from Macroscopic dental measures in guinea pigs (<i>Cavia porcellus</i>) fed natural and pelleted diets of different abrasiveness: implications for wear and compensatory growth in a hypselodont species

description: Dataset
DOI: 10.25345/c5cj87w5f
title: MassIVE MSV000092027 - A Shift Between Mineral and Nonmineral Sources of Iron and Sulfur Causes Proteome-wide Changes in Methanosarcina barkeri
title: Iron (Fe) and sulfur (S) are required elements for life, and changes in their availability can limit the ecological distribution and function of microorganisms. In anoxic environments, soluble Fe typically exists as ferrous iron (Fe(II)) and S as sulfide (HS-). These species exhibit a strong affinity towards one another, resulting in the formation of sedimentary pyrite (FeS2). Recent, paradigm shifting studies indicate that Fe and S in pyrite can be made bioavailable by methanogens through a reductive dissolution process. However, the impact of the utilization of FeS2, as opposed to canonical Fe and S sources, on the phenotype of cells is not fully understood. Here, shotgun proteomics was utilized to measure changes in the phenotype of Methanosarcina barkeri grown with FeS2, Fe(II)/HS-; or Fe(II)/cysteine. Shotgun proteomics tracked 1019 proteins, with 307 observed to change significantly between growth conditions. Functional characterization and pathway analyses revealed these changes to be systemic, and largely tangential to Fe/S metabolism. As a final step, the proteomics data was viewed with respect to previously collected transcriptomics data to deepen the analysis. Presented here is evidence that M. barkeri adopts distinct phenotypes to exploit specific sources of Fe and S in their environment. This is supported by observed protein abundance changes across broad categories of cellular biology. DNA adjacent metabolism, central carbon metabolism / methanogenesis, metal trafficking, quorum sensing and porphyrin biosynthesis pathways are all features in the phenotypic differentiation.
DOI: 10.5519/qd.fry8u9bm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (49 records)
DOI: 10.5281/zenodo.7954149
title: European migration scenarios with probabilistic uncertainty assessment – Data Description

description: This open data deposit contains the data and code accompanying used in the report: Bijak (2023): European migration scenarios with probabilistic uncertainty assessment, QuantMig Project Deliverable D9.4. The cover note should be read in conjunction with the report, available via www.quantmig.eu, and with the individual readme files in the data folders that can be found within this Zenodo repository (DOI: 10.5281/zenodo.7954150).
description: This open data deposit contains the data and code accompanying used in the report: Bijak (2023), European migration scenarios with probabilistic uncertainty assessment, QuantMig Project Deliverable D9.4. The cover note should be read in conjunction with the report, available via www.quantmig.eu, and with the individual readme files in the data folders that can be found within this Zenodo repository (DOI: 10.5281/zenodo.7954150).
DOI: 10.5281/zenodo.7954150
title: European migration scenarios with probabilistic uncertainty assessment – Data Description

description: This open data deposit contains the data and code accompanying used in the report: Bijak (2023): European migration scenarios with probabilistic uncertainty assessment, QuantMig Project Deliverable D9.4. The cover note should be read in conjunction with the report, available via www.quantmig.eu, and with the individual readme files in the data folders that can be found within this Zenodo repository (DOI: 10.5281/zenodo.7954150).
description: This open data deposit contains the data and code accompanying used in the report: Bijak (2023), European migration scenarios with probabilistic uncertainty assessment, QuantMig Project Deliverable D9.4. The cover note should be read in conjunction with the report, available via www.quantmig.eu, and with the individual readme files in the data folders that can be found within this Zenodo repository (DOI: 10.5281/zenodo.7954150).
DOI: 10.6084/m9.figshare.23148349
title: Raw Data from Emergence of persistent institutionalized inequality at the bridge river site, British Columbia: the roles of managerial mutualism and coercion

description: Excel file with raw data used in statistical analyses.
DOI: 10.6084/m9.figshare.23148349.v1
title: Raw Data from Emergence of persistent institutionalized inequality at the bridge river site, British Columbia: the roles of managerial mutualism and coercion

description: Excel file with raw data used in statistical analyses.
DOI: 10.5281/zenodo.7967260
title: Revealing the nonadiabatic tunneling dynamics in solid-state high harmonic generation

description: Dataset of the publication “Revealing the nonadiabatic tunneling dynamics in solid-state high harmonic generation“, by Ruixin Zuo, Xiaohong Song, Shuai Ben, Torsten Meier, and Weifeng Yang, published in PHYSICAL REVIEW RESEARCH 5, L022040 (2023) ( https://doi.org/10.1103/PhysRevResearch.5.L022040 )<br> The zip file includes the data on which the plots 2 – 9 are based.
description: This work was supported by the National Natural Science Foundation of China (Grants No. 12074240, and No. 12204136), the Hainan Provincial Natural Science Foundation of China (Grants No. 122CXTD504 and No. 122QN217), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through TRR 142 "Tailored Nonlinear Photonics" (Project No. 231447078, Subproject No. A10), and the Sino-German Center for Research Promotion (Mobility Grant No. M-0031).
DOI: 10.5281/zenodo.7967261
title: Revealing the nonadiabatic tunneling dynamics in solid-state high harmonic generation

description: Dataset of the publication “Revealing the nonadiabatic tunneling dynamics in solid-state high harmonic generation“, by Ruixin Zuo, Xiaohong Song, Shuai Ben, Torsten Meier, and Weifeng Yang, published in PHYSICAL REVIEW RESEARCH 5, L022040 (2023) ( https://doi.org/10.1103/PhysRevResearch.5.L022040 )<br> The zip file includes the data on which the plots 2 – 9 are based.
description: This work was supported by the National Natural Science Foundation of China (Grants No. 12074240, and No. 12204136), the Hainan Provincial Natural Science Foundation of China (Grants No. 122CXTD504 and No. 122QN217), the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through TRR 142 "Tailored Nonlinear Photonics" (Project No. 231447078, Subproject No. A10), and the Sino-German Center for Research Promotion (Mobility Grant No. M-0031).
DOI: 10.5281/zenodo.7641127
title: AGORA virtual machine

description: This virtual machine contains the software developed and the experimental results of the paper AGORA: Automated Generation of test Oracles for REST APIs, accepted for publication in the technical track of the <em>ACM SIGSOFT International Symposium on Software Testing and Analysis 2023 (ISSTA 2023).</em> To use the most up-to-date version of AGORA, please refer to the official GitHub repository: https://github.com/isa-group/Beet user: agora password: agora
DOI: 10.5281/zenodo.7641126
title: AGORA virtual machine

description: This virtual machine contains the software developed and the experimental results of the paper AGORA: Automated Generation of test Oracles for REST APIs, accepted for publication in the technical track of the <em>ACM SIGSOFT International Symposium on Software Testing and Analysis 2023 (ISSTA 2023).</em> To use the most up-to-date version of AGORA, please refer to the official GitHub repository: https://github.com/isa-group/Beet user: agora password: agora
DOI: 10.6084/m9.figshare.23148472
title: Analysis Code from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: R code for replicating the sensitivity analysis figures, random forest analysis, and for generating ethnogrpahic parameter values
DOI: 10.6084/m9.figshare.23148472.v1
title: Analysis Code from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: R code for replicating the sensitivity analysis figures, random forest analysis, and for generating ethnogrpahic parameter values
DOI: 10.6084/m9.figshare.23148475
title: NetLogo Model Code from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: Complete model code for running the agent-based model in NetLogo
DOI: 10.6084/m9.figshare.23148475.v1
title: NetLogo Model Code from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: Complete model code for running the agent-based model in NetLogo
DOI: 10.6084/m9.figshare.23148478
title: Simulation Data from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: Simulation output data from the agent-based model usable in Supplement 3 to fully replicate the analyses
DOI: 10.6084/m9.figshare.23148478.v1
title: Simulation Data from Identifying key socioecological factors influencing the expression of egalitarianism and inequality among foragers

description: Simulation output data from the agent-based model usable in Supplement 3 to fully replicate the analyses
DOI: 10.3886/e182801
title: Data and Code for: Optimal Procurement With Quality Concerns

description: Adverse selection in procurement arises when low-cost bidders are also lowquality suppliers. We propose a mechanism called LoLA which, under some conditions, is the best incentive-compatible mechanism for maximizing any combination of buyer’s and social surplus in the presence of adverse selection. The LoLA features a floor (or minimum) price, and a reserve (or maximum) price. Conveniently, the LoLA has a dominant strategy equilibrium that, under mild regularity conditions, is unique. We perform a counterfactual experiment on Italian government procurement auctions: we compute the gain that the government could have made, had it used the optimal mechanism (which happens to be a LoLA), relative to a first-price auction, which is the format the government actually used.
DOI: 10.3886/e182801v1
title: Data and Code for: Optimal Procurement With Quality Concerns

description: Adverse selection in procurement arises when low-cost bidders are also lowquality suppliers. We propose a mechanism called LoLA which, under some conditions, is the best incentive-compatible mechanism for maximizing any combination of buyer’s and social surplus in the presence of adverse selection. The LoLA features a floor (or minimum) price, and a reserve (or maximum) price. Conveniently, the LoLA has a dominant strategy equilibrium that, under mild regularity conditions, is unique. We perform a counterfactual experiment on Italian government procurement auctions: we compute the gain that the government could have made, had it used the optimal mechanism (which happens to be a LoLA), relative to a first-price auction, which is the format the government actually used.
DOI: 10.18112/openneuro.ds004574.v1.0.0
title: Cross-modal Oddball Task.
DOI: 10.48567/r9a7-cs05
title: Dome C II Automatic Weather Station, 1996 quality-controlled observational data.