cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/kmzqvu
title: Replication Data for: The Social Media Amplification of Risk: Sentiment about COVID-19 Vaccination Expressed in Social Media Posts Predicts Vaccine Acceptance Among Social Media Users in Peru the Next Day

description: The master data of dependent and independent variables.
DOI: 10.14469/hpc/11354
title: Ph(OMe)2 single boron cycle, TS for C-O cleavage, formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-SVPP, G = -1307.393159 iso =&gt; G = -1307.394424 DG = 29.7

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11368
title: Ph(OMe)2 single boron cycle, TS for C-O cleavage, formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-TZVPP, G = -1308.921198, DG =29.3

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11355
title: Ph(OMe)2 single boron cycle, reactant formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-SVPP, G = -1307.441738

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11356
title: Ph(OMe)2 single boron cycle, reactant formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-TZVPP, G = -1308.968350

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11371
title: Ph(OMe)2 single boron cycle, TS for C-O cleavage, formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-SVPP, G = -1307.393159 iso =&gt; G = -1307.394424 DG = 29.7 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11381
title: Start point from alex for C-O break, Def2-TSPP, conformer 1, B-Ph instead of B-OMe, G = -924.298841

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11387
title: TS4 from alex for C-O break, rotamer6, Def2-SVPP, B-Ph instead of B-OMe, G = -924.250072, DG = 30.6

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/11342
title: Ph(OMe)2 single boron cycle, TS for C-O cleavage, formed from Ph(OMe)2 + PhCO2H + MeNH2, Def2-SVPP, G = -1307.393159

description: Gaussian 16 (C01) calculation
DOI: 10.7910/dvn/k5ujeu
title: Replication Data for: Designing low-input upland rice-based cropping systems with conservation agriculture for climate change adaptation: A six-year experiment in M’bé, Bouaké, Côte d’Ivoire

description: Climate change models predict an increase in climate variability in the future, with more rainfall extremes and greater risks, causing a negative impact on crops produced by smallholders in West Africa. Conservation Agriculture (CA) systems can be effective in mitigating yield loss in environments with increased weather risk. This study aimed to evaluate CA cropping systems that can minimize both economic and climatic risks under erratic climatic conditions in West Africa. We tested upland rice-based CA systems and conventional systems with tillage (CT), in rotation with maize in some of the cases, without and with fertilization, at different sowing windows in the Bouaké region, Côte d’Ivoire, from 2015 to 2020. Sowing in June showed in a higher rice yield (1183 kg ha-1 and 1370 kg ha-1 without and with fertilization, on average over the 2017–2020 period) than in March (521 kg ha-1 and 495 kg ha-1 without and with fertilization) or in July or August (335 kg ha-1 and 498 kg ha-1 without and with fertilization). During the first four years, rice yields tended to be lower under the CA systems than under the CT systems, especially when water availability was not a major constraint. However, after this transition period, and especially when water stress occurred, as in 2020, rice yields under CA systems (1835–2021 and 2147–2254 kg ha-1 without and with fertilization) were higher than under CT systems (1350 kg ha-1 and 1435 kg ha-1 without and with fertilization). CA systems having relatively longer duration for growing cover crops tended to produce higher upland rice yield grown in the subsequent season. In both CT and CA systems, the impact of fertilization on rice yield was small over the study period, and the mean rice yield increase due to fertilization was on average 451 kg ha-1 even when rice was sown in the summer season, resulting in negative economic return. These results indicate that whereas low-input CA upland rice-based systems together with optimizing sowing window for rice could be promising options for sustaining rice yield and mitigating yield loss in environments with increased weather risk, further research is needed for reducing transition period to CA systems in order to enhance their adoption by smallholder farmers. Desirable cover crops should be less labor-demanding, generate incomes from their products, and produce large biomass under erratic climatic conditions.
DOI: 10.7910/dvn/pt9xpp
title: Replication Data for: Long-term fertility experiments for irrigated rice in the West African Sahel: Effect on macro- and micronutrient concentrations in plant and soil

description: Little is known about the impact of long-term intensive irrigated rice cropping on secondary macro and micronutrients in soils and crops. Therefore, the present study analysed the effect of intensive irrigated rice cropping on nutrient concentrations in soils and rice (grain and straw at harvest) in two long-term experiments that were established in 1991 for intensive rice-based irrigated systems in the Senegal River valley at Ndiaye and Fanaye, Senegal. The experiments included six different fertilizer treatments and rice was grown for two seasons per year. The samples were collected in the 2016/17 dry season (26 years or 52nd continuous rice cropping season after the establishment). Average grain yields from 1991 to 2016/17 for the different fertilizer treatments indicate that yield was limited by N and P at both sites. At Ndiaye, 120 kg N ha−1 seemed sufficient to reach highest achievable yields, whereas 180 kg N ha−1 was necessary at Fanaye. Soil organic carbon and total soil N did increase considerably over the full length of the experiment at both sites and in all treatments even though all crop residues were removed every season. The estimated increase in total topsoil N (across all fertilizer treatments) per season was 10.8 and 11.4 kg N ha−1 at Ndiaye and Fanaye, respectively. Fertilizer treatments differed in their N, P and K rate but significant effects on total soil concentrations were only detected for P. Using the Mehlich3 soil test, we analysed treatment effects on available P, K, Ca, Mg, S, Mn, Zn and Fe. Critical Mehlich3 values from the literature indicated likely P limitation at both sites and in all but one treatment (high PK treatment), a starting but minor K limitation at Fanaye, a strong S limitation at Fanaye, and a minor Zn limitation at Fanaye and Ndiaye. These indications were mostly confirmed by the grain and straw analysis but with the exception of the P limitation, the actual effect of these possible nutrient limitations on production would need to be tested with targeted field experiments. We conclude that continuous rice cultivation in the Sahel for 26 years can be sustained and even increases soil organic carbon and total soil nitrogen. However, in addition to the common N and P deficiencies, likely deficiencies of K, S and Zn are appearing and may begin to limit rice yields in intensive systems in Africa. The Mehlich3 test seems an efficient tool to identify such deficiencies in irrigated rice soils.
DOI: 10.17045/sthlmuni.17032724
title: Tables for calculating change in generation of ecosystem services over time

description: <b>LUtoES.csv</b> is a table of the relative contribution of each social-ecological patch to each provisioning ecosystem service, based on field data from Sinare et al (2016) [https://doi.org/10.1016/j.ecoser.2016.08.004]. <br> <b>backcast1950_V3.csv</b> contains linear, high and low estimates for past generation of ecosystem services. The linear estimate assumes the same contribution of each social-ecological patch to each ecosystem service over time as in LUtoES.csv. High and low estimates are based on available information on how the generation and value of ecosystem services have changed over time.<br>See also: <i>R code for analysis of historic generation of ecosystem services in village landscapes </i>[https://doi.org/10.17045/sthlmuni.19144616] and<br> <i>Village landscapes classified into social-ecological patches</i> [https://doi.org/10.17045/sthlmuni.17032511]<br><br><br>
DOI: 10.5255/ukda-sn-856005
title: A Blueprint for Entrepreneurial Places Which Are Cared For, 2022

description: Our data takes the form of in-depth interview transcripts discussing the relationship between local independent businesses and Cambridge as a place. The first round of data collection took place in 2017 to discover, explore and evaluate the relationship between small and medium-sized businesses and community development within Cambridge. At the time of rapid change and a turbulent economic environment it was important to understand how local independent businesses interact with, and rely on, the locale and community in which they are based. Leading on from the first phase, this project and a second round of data collection was employed to return to Cambridge in 2022 to further investigate how the implementation of Brexit and the arrival of the pandemic has impacted upon local independent businesses and the original issues uncovered. The aim is to drive debate and discussion towards a more diverse local business environment. This is of key significance given micro, small, and medium sized firms (SMEs) are most at risk of failure post-pandemic and in the escalating energy crisis. Such SMEs are not just important local employers but are also the main way to increase regional resilience and make Cambridge feel like a ‘home town’ with distinctive independent retailers as opposed to how the New Economics Foundation refers to the city as a ‘clone town’ full of national chain stores and devoid of local character. Topics covered included local networking, local enterprise support, belonging, power, community development and inequality. Our recent research found that such businesses agreed that without the University of Cambridge, its unique communication channel and supply of labour, the city would be much less successful as it finds itself today. However, many businesses also felt the increased growth has led to increased pressures within the city due to constrained land supply and a tightly-drawn green belt. This, coupled with the current cost of living crisis, has seen business costs rise excessively increasing demands on already stretched independent businesses. A recurring theme throughout our study, therefore, was ‘them versus us’ regarding the power dynamic between local independent businesses (who form an integral part of the local economy) and the key stakeholders and policy makers within Cambridge. While some firms may find they succeed, it appears to be the smaller independent businesses who struggle the most within the city as they may not have sufficient footfall, nor the capital reserves required to loudly market themselves and/or overcome the high costs associated with being located within Cambridge. As such, many of these independent businesses felt unappreciated, overlooked, and under-supported.
DOI: 10.48420/21318192
title: XRD analysis of vacuum-oven dried MXene film - PANalytical X'Pert Pro

description: Characterise vacuum-oven dried MXene film using X-ray diffraction
DOI: 10.48420/21318192.v1
title: XRD analysis of vacuum-oven dried MXene film - PANalytical X'Pert Pro

description: Characterise vacuum-oven dried MXene film using X-ray diffraction
DOI: 10.48420/21295800
title: XRD analysis of dropcast MXene and MAX phase/MXene suspensions - PANalytical X'Pert Pro

description: Typical, coupled θ:2θ scans of dropcast MXene synthesis product and sediment to confirm successful synthesis
DOI: 10.48420/21295800.v1
title: XRD analysis of dropcast MXene and MAX phase/MXene suspensions - PANalytical X'Pert Pro

description: Typical, coupled θ:2θ scans of dropcast MXene synthesis product and sediment to confirm successful synthesis
DOI: 10.5281/zenodo.7194711
title: FITNESS: A Causal De-Correlation Approach for Mitigating Model Biases

description: Part of the experiment results.
DOI: 10.48420/21300621
title: XRD analysis of dropcast MXene and MAX phase/MXene suspensions - PANalytical X'Pert Pro I

description: Run typical, coupled θ:2θ scans of dropcast MXene synthesis product and sediment to confirm successful synthesis and monitor sample oxidation
DOI: 10.48420/21300621.v1
title: XRD analysis of dropcast MXene and MAX phase/MXene suspensions - PANalytical X'Pert Pro I

description: Run typical, coupled θ:2θ scans of dropcast MXene synthesis product and sediment to confirm successful synthesis and monitor sample oxidation
DOI: 10.48420/21300621.v2
title: XRD analysis of dropcast MXene and MAX phase/MXene suspensions - PANalytical X'Pert Pro I

description: Run typical, coupled θ:2θ scans of dropcast MXene synthesis product and sediment to confirm successful synthesis and monitor sample oxidation
DOI: 10.48420/21316515
title: XRD analysis of MAX phase - PANalytical X'Pert Pro

description: Characterise parent Ti<sub>3</sub>AlC<sub>2</sub> MAX phase used in Ti<sub>3</sub>C<sub>2 </sub>MXene synthesis
DOI: 10.48420/21316515.v2
title: XRD analysis of MAX phase - PANalytical X'Pert Pro

description: Characterise parent Ti<sub>3</sub>AlC<sub>2</sub> MAX phase used in Ti<sub>3</sub>C<sub>2 </sub>MXene synthesis
DOI: 10.48420/21316515.v1
title: XRD analysis of MAX phase - PANalytical X'Pert Pro

description: Characterise parent Ti<sub>3</sub>AlC<sub>2</sub> MAX phase used in Ti<sub>3</sub>C<sub>2 </sub>MXene synthesis
DOI: 10.5281/zenodo.7141022
title: Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model

description: This repository contains the data used to obtain the different results of the paper "Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model" (https://arxiv.org/abs/2207.10058). This work analyzes the experimental results of the Jiuzhang 1.0 (https://doi.org/10.1126/science.abe8770) and Jiuzhang 2.0 (https://doi.org/10.1103/PhysRevLett.127.180502) experiments by Zhong et al.
DOI: 10.5281/zenodo.7141021
title: Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model

description: This repository contains the data used to obtain the different results of the paper "Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model" (https://arxiv.org/abs/2207.10058). This work analyzes the experimental results of the Jiuzhang 1.0 (https://doi.org/10.1126/science.abe8770) and Jiuzhang 2.0 (https://doi.org/10.1103/PhysRevLett.127.180502) experiments by Zhong et al.
DOI: 10.5281/zenodo.7194775
title: Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model

description: This repository contains the data used to obtain the different results of the paper "Classical models are a better explanation of the Jiuzhang 1.0 Gaussian Boson Sampler than its targeted squeezed light model" (https://arxiv.org/abs/2207.10058). This work analyzes the experimental results of the Jiuzhang 1.0 (https://doi.org/10.1126/science.abe8770) and Jiuzhang 2.0 (https://doi.org/10.1103/PhysRevLett.127.180502) experiments by Zhong et al.
DOI: 10.6084/m9.figshare.21325758
title: Brain Tumors MRI Images

description: <strong>Brain Tumors Classiﬁcation from MRI Images Using Deep Learning Approach...</strong> In the second experiment, we took the same previous images after being improved by several techniques used in image modification, these techniques are Unsharp filter and Histogram equal produced another view of the dataset, as shown in Fig 2., which reveals the depth of details and information in the images.
DOI: 10.5517/ccdc.csd.cc2bxfg5
title: CCDC 2172277: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2bxfh6
title: CCDC 2172278: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2bxfj7
title: CCDC 2172279: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2bxfk8
title: CCDC 2172280: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2bxfl9
title: CCDC 2172281: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2bxfmb
title: CCDC 2172282: Experimental Crystal Structure Determination

description: Related Article: João Guilherme M. de Carvalho, Korbinian Geißer, Sebastian J. Weishäupl, Roland A. Fischer, Alexander Pöthig|2022|Inorg.Chem.|61|15831|doi:10.1021/acs.inorgchem.2c01643
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.cc2c3glk
title: CCDC 2178078: Experimental Crystal Structure Determination

description: Related Article: Bingbing Duan, Yao Wu, Yi Gao, Linkun Ying, Jielin Tang, Shiyu Hu, Qiuhua Zhao, Zengqiang Song|2022|Chem.Commun.|58|11555|doi:10.1039/D2CC04030A
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.cc2c47md
title: CCDC 2178823: Experimental Crystal Structure Determination

description: Related Article: Shakil N. Afraj, Meng-Hao Lin, Chih-Yao Wu, Arulmozhi Velusamy, Ping-Yu Huang, Tzu-Yu Peng, Jui-Chen Fu, Shih-Hung Tung, Ming-Chou Chen, Cheng-Liang Liu|2022|J.Mater.Chem.C|10|14496|doi:10.1039/D2TC02679A
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.cc2c47pg
title: CCDC 2178825: Experimental Crystal Structure Determination

description: Related Article: Shakil N. Afraj, Meng-Hao Lin, Chih-Yao Wu, Arulmozhi Velusamy, Ping-Yu Huang, Tzu-Yu Peng, Jui-Chen Fu, Shih-Hung Tung, Ming-Chou Chen, Cheng-Liang Liu|2022|J.Mater.Chem.C|10|14496|doi:10.1039/D2TC02679A
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.cc2c47rj
title: CCDC 2178827: Experimental Crystal Structure Determination

description: Related Article: Shakil N. Afraj, Meng-Hao Lin, Chih-Yao Wu, Arulmozhi Velusamy, Ping-Yu Huang, Tzu-Yu Peng, Jui-Chen Fu, Shih-Hung Tung, Ming-Chou Chen, Cheng-Liang Liu|2022|J.Mater.Chem.C|10|14496|doi:10.1039/D2TC02679A
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.cc2c4ggg
title: CCDC 2179035: Experimental Crystal Structure Determination

description: Related Article: James C. Corcoran, Rui Guo, Yue Xia, Yi-Ming Wang|2022|Chem.Commun.|58|11523|doi:10.1039/D2CC03794G
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.cc2c6l8g
title: CCDC 2181075: Experimental Crystal Structure Determination

description: Related Article: Garrett Fregoso, Gehan S. Rupasinghe, Maryam Shahi, Karl Thorley, Sean Parkin, Alexandra F. Paterson, John Anthony|2022|J.Mater.Chem.C|10|14439|doi:10.1039/D2TC02977D
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.