cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7217144
title: Dataset for the comparison of accelerometry-based and self-reported physical activity and their association with cardiovascular risk markers in children from South Africa

description: Dataset used to evaluate and compare self-reported with accelerometry-based physical activity measurements as well as their associations with cardiovascular risk markers among South African school-aged children from disadvantaged communities. It encompasses anonymized, unique, identification numbers, demographic and body-mass-index, blood pressure, lipid panel and blood glucose measures.
DOI: 10.6084/m9.figshare.21350175
title: Untitled Item

description: These files are the alignments and recombination raw data outputs from IDPlot, associated with the GBE paper: <br> "Extensive recombination-driven coronavirus diversification expands the pool of potential pandemic pathogens" <br> These files should enable independent replication and analysis of our results.
DOI: 10.5281/zenodo.7217259
title: Data and scripts from Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020

description: Raw data and scripts used in the publication "<em>Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020 separator commenting unavailable</em>" in Eurosurveillance in 2022. https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2022.27.6.2100406
DOI: 10.5281/zenodo.7217258
title: Data and scripts from Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020

description: Raw data and scripts used in the publication "<em>Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020 separator commenting unavailable</em>" in Eurosurveillance in 2022. https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2022.27.6.2100406
DOI: 10.6084/m9.figshare.19071770
title: R dataset for processing nifH sequences

description: R dataset used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "R code for processing nifH sequences" to download the necessary R code.
DOI: 10.6084/m9.figshare.19071770.v1
title: R dataset for processing nifH sequences

description: R dataset used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "R code for processing nifH sequences" to download the necessary R code.
DOI: 10.6084/m9.figshare.19071764
title: R dataset for processing 16S rRNA sequences

description: R dataset used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "R code for processing 16S rRNA sequences" to download the necessary R code.
DOI: 10.6084/m9.figshare.19071758
title: R code for processing nifH sequences

description: R code used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "Feather moss nifH raw sequences" to download the necessary sequences.
DOI: 10.6084/m9.figshare.19071758.v1
title: R code for processing nifH sequences

description: R code used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "Feather moss nifH raw sequences" to download the necessary sequences.
DOI: 10.6084/m9.figshare.19071734
title: R code for processing 16S rRNA sequences

description: R code used in the manuscript entitled "Unraveling global and diazotrophic bacteriomes of boreal forest floor feather mosses and their environmental drivers at the ecosystem and at the plant scale in North America".<br>See file "Feather moss 16S rRNA raw sequences" to download the necessary sequences.
DOI: 10.6084/m9.figshare.21350088.v1
title: Fibrosis data

description: The raw data in the study involved 40 patients with chronic liver diseases requiring liver biopsies at the Gastroenterology Clinic at referral hospital and 40 healthy controls with comparable age, sex and body mass index.
DOI: 10.6084/m9.figshare.21350088.v2
title: Fibrosis data

description: The raw data in the study involved 40 patients with chronic liver diseases requiring liver biopsies at the Gastroenterology Clinic at referral hospital and 40 healthy controls with comparable age, sex and body mass index.
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.09 (dd, J = 7.8, 2.0 Hz, 1H, HAr), 6.52–6.46 (m, 1H, HAr), 6.45–6.36 (m, 5H, HAr), 3.39 (ddd, J = 13.4, 10.1, 2.2 Hz, 1H, HPc), 3.13 (ddd, J = 13.0, 10.1, 6.0 Hz, 1H, HPc), 3.08–2.94 (m, 4H, HPc), 2.89–2.81 (m, 1H, HPc), 2.75 (ddd, J = 13.4, 10.4, 6.0 Hz, 1H, HPc).Water in deuterated reagents at 1.57 ppm.
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n.7
title: C16H15Br
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: This dataset contains experimental data from a sample (InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n/chmo0000630.1
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2924 (s), 2849 (m), 1585 (w), 1475 (m), 1390 (m), 1034 (s), 897 (s), 839 (vs), 806 (m), 793 (s), 718 (s), 708 (vs), 691 (m), 667 (s), 640 (vs), 577 (m), 513 (vs), 473 (s) cm–1.
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for mass spectrometry (MS) MS (ESI, 70 eV, 20 °C, %) m/z = 287/289 (100/97) [M+H]+, 364 (28) [M+H]+,156 (24) [C11H10N]+, 286 (23) [M-C5H2N]+.HRMS-ESI (m/z): [M + H]+, calcd for C16H16Br, 287.0430; found: 287.0427
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm) δ = 141.6 (Cq, CAr), 139.3 (Cq, CAr), 139.1 (Cq, CAr), 137.3 (+, CH, CAr), 135.1 (+, CH, CAr), 133.3 (+, CH, CAr), 133.0 (Cq, CAr), 132.9 (+, CH, CAr), 132.3 (+, CH, CAr), 131.5 (+, CH, CAr), 128.7 (+, CH, CAr), 127.0 (Cq, CAr), 35.9 (−, CH2), 35.5 (−, CH2), 34.8 (−, CH2), 33.5 (−, CH2).
DOI: 10.6084/m9.figshare.21350190
title: R code for forest soil microbiome analyses

description: R code used in the manuscript entitled "Long-term increasing simulated nitrogen deposition has moderate impacts on soil microbial communities across three bioclimatic domains of the eastern Canadian forest".
DOI: 10.6084/m9.figshare.21350190.v1
title: R code for forest soil microbiome analyses

description: R code used in the manuscript entitled "Long-term increasing simulated nitrogen deposition has moderate impacts on soil microbial communities across three bioclimatic domains of the eastern Canadian forest".
DOI: 10.6084/m9.figshare.21350088
title: Fibrosis data

description: The raw data in the study involved 40 patients with chronic liver diseases requiring liver biopsies at the Gastroenterology Clinic at referral hospital and 40 healthy controls with comparable age, sex and body mass index.
DOI: 10.6084/m9.figshare.21350232
title: R dataset for forest soil microbiome analyses

description: R dataset used in the manuscript entitled "Long-term increasing simulated nitrogen deposition has moderate impacts on soil microbial communities across three bioclimatic domains of the eastern Canadian forest". <br> See file "R code for forest soil microbiome analyses" to download the necessary R code.
DOI: 10.6084/m9.figshare.21350214.v1
title: 50 images used in experiment

description: Fifty images were selected from an online database representing ten types of architectural spaces: offices, residential spaces, educational spaces, indoor sports areas, retail stores, industrial spaces, restaurants, healthcare facilities, museums, and houses of worship. Forty naïve participants (17 male and 23 females, an average age of 27) took part in this study conducted in the Penn State University Lighting Lab. The visual preference ranged from “Extremely unpleasant” to “Extremely pleasant” in a 9-point scale. For the next three questions (visual complexity, visual clarity, and colorfulness), ranges of “Extremely simple” to “Extremely complex”, “Extremely unclear” to “Extremely clear”, and “Not colorful” to “Extremely colorful” were provided for each judgment. A separate “I do not know / I do not care” option was included to reduce bias and enhance the reliability of the scales.
DOI: 10.6084/m9.figshare.21350235
title: Supplementary Material – Wild edible plants of the Central Mountains in Argentina. Comparing subregions to understand the complexity of local botanical knowledge

description: Table S1 – Edible wild plants and practices mentioned in the three subregions of the central mountains of Argentina. This Supplementary Material is part of the Original Paper doi: &lt;10.1590/2175-78602022730089&gt;
DOI: 10.5517/ccdc.csd.cc2c9663
title: CCDC 2183584: Experimental Crystal Structure Determination

description: Related Article: Eugenia Peresypkina, Berthold Stöger, Alexander Virovets|2022|CrystEngComm|24|7118|doi:10.1039/D2CE00916A
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.ccx806c
title: CCDC 841842: Experimental Crystal Structure Determination

description: Related Article: Ruchi Gau, Lallan Mishra|2022|J.Mol.Struct.|1273|134271|doi:10.1016/j.molstruc.2022.134271
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.cc2chbs0
title: CCDC 2189492: Experimental Crystal Structure Determination

description: Related Article: Ping Wang, Ming-Kun Chen, Yu-Qiao Tong, Shi-Qing Yin, Bo Huang|2022|CrystEngComm|24|7083|doi:10.1039/D2CE01150F
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.cc2chbt1
title: CCDC 2189493: Experimental Crystal Structure Determination

description: Related Article: Ping Wang, Ming-Kun Chen, Yu-Qiao Tong, Shi-Qing Yin, Bo Huang|2022|CrystEngComm|24|7083|doi:10.1039/D2CE01150F
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.cc2cy3k0
title: CCDC 2202722: Experimental Crystal Structure Determination

description: Related Article: J. Collen Aldum, Isabelle Jones, Paul R. McGonigal, Dino Spagnoli, Nicholas D. Stapleton, Gemma F. Turner, Stephen A. Moggach|2022|CrystEngComm|24|7103|doi:10.1039/D2CE01157C
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.cc2bwt35
title: CCDC 2171677: Experimental Crystal Structure Determination

description: Related Article: Bowen Qin, Xiaoying Zhang, Jiangyan Dang, Dan Yue, Bing Zhang, Weidong Li, Godefroid Gahungu, Zhenling Wang, Jingping Zhang|2022|CrystEngComm|24|7058|doi:10.1039/D2CE00816E
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.cc2cmxrp
title: CCDC 2193893: Experimental Crystal Structure Determination

description: Related Article: Xiuyan Dong, Duqingcuo Li, Yuyan Li, Hiroshi Sakiyama, Mohd. Muddassir, Ying Pan, Devyani Srivastava, Abhinav Kumar|2022|CrystEngComm|24|7157|doi:10.1039/D2CE01079H
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/crzjbn
title: Replication Data for Independent Redistricting Commissions are Associated with More Competitive Elections

description: Competitive elections are essential for democratic accountability, yet most U.S. House elections are uncompetitive. Using district-level data from 1982 to 2018, I examine the relationship between redistricting institutions and U.S. House election competition. I extend Carson et al (2014) by separating independent and political commissions and find that relative to legislative redistricting, independent commissions are 2.25 times more likely to have competitive elections; and they decrease incumbent party wins by 52%.
DOI: 10.6084/m9.figshare.21082244.v2
title: To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates

description: Randomized experiments allow for consistent estimation of the average treatment effect based on the difference in mean outcomes without strong modeling assumptions. Appropriate use of pretreatment covariates can further improve the estimation efficiency. Missingness in covariates is nevertheless common in practice, and raises an important question: should we adjust for covariates subject to missingness, and if so, how? The unadjusted difference in means is always unbiased. The complete-covariate analysis adjusts for all completely observed covariates, and is asymptotically more efficient than the difference in means if at least one completely observed covariate is predictive of the outcome. Then what is the additional gain of adjusting for covariates subject to missingness? To reconcile the conflicting recommendations in the literature, we analyze and compare five strategies for handling missing covariates in randomized experiments under the design-based framework, and recommend the missingness-indicator method, as a known but not so popular strategy in the literature, due to its multiple advantages. First, it removes the dependence of the regression-adjusted estimators on the imputed values for the missing covariates. Second, it does not require modeling the missingness mechanism, and yields consistent estimators even when the missingness mechanism is related to the missing covariates and unobservable potential outcomes. Third, it ensures large-sample efficiency over the complete-covariate analysis and the analysis based on only the imputed covariates. Lastly, it is easy to implement via least squares. We also propose modifications to it based on asymptotic and finite sample considerations. Importantly, our theory views randomization as the basis for inference, and does not impose any modeling assumptions on the data-generating process or missingness mechanism. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.21082244
title: To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates

description: Randomized experiments allow for consistent estimation of the average treatment effect based on the difference in mean outcomes without strong modeling assumptions. Appropriate use of pretreatment covariates can further improve the estimation efficiency. Missingness in covariates is nevertheless common in practice, and raises an important question: should we adjust for covariates subject to missingness, and if so, how? The unadjusted difference in means is always unbiased. The complete-covariate analysis adjusts for all completely observed covariates, and is asymptotically more efficient than the difference in means if at least one completely observed covariate is predictive of the outcome. Then what is the additional gain of adjusting for covariates subject to missingness? To reconcile the conflicting recommendations in the literature, we analyze and compare five strategies for handling missing covariates in randomized experiments under the design-based framework, and recommend the missingness-indicator method, as a known but not so popular strategy in the literature, due to its multiple advantages. First, it removes the dependence of the regression-adjusted estimators on the imputed values for the missing covariates. Second, it does not require modeling the missingness mechanism, and yields consistent estimators even when the missingness mechanism is related to the missing covariates and unobservable potential outcomes. Third, it ensures large-sample efficiency over the complete-covariate analysis and the analysis based on only the imputed covariates. Lastly, it is easy to implement via least squares. We also propose modifications to it based on asymptotic and finite sample considerations. Importantly, our theory views randomization as the basis for inference, and does not impose any modeling assumptions on the data-generating process or missingness mechanism. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.7217515
title: Directional control of neurite outgrowth: emerging technologies for Parkinson's Disease using magnetic nanoparticles and magnetic field gradients

description: Data set for publication '<strong>Directional control of neurite outgrowth: emerging technologies for Parkinson’s Disease using magnetic nanoparticles and magnetic field gradients'</strong> <strong>Journal of The Royal Society Interface</strong> <strong>2022</strong>
DOI: 10.5281/zenodo.7217514
title: Directional control of neurite outgrowth: emerging technologies for Parkinson's Disease using magnetic nanoparticles and magnetic field gradients

description: Data set for publication '<strong>Directional control of neurite outgrowth: emerging technologies for Parkinson’s Disease using magnetic nanoparticles and magnetic field gradients'</strong> <strong>Journal of The Royal Society Interface</strong> <strong>2022</strong>
DOI: 10.6073/pasta/554d50646e071e8ff8f72beb6d433e45
title: Hubbard Brook Experimental Forest: Weekly Snow and Frost Measurements, 1955 - present

description: Snow and frost measurements have been collected approximately weekly during the winter season at the Hubbard Brook Experimental Forest using transects underneath the forest canopy adjacent to the established network of standard rain gages from 1956 to the present. Maximum snow depth, snow water content, frost occurrence, and frost depth data are recorded at points along a transect known as a snow course, which includes 10 points spaced at 2-m intervals within a designated 0.25 ha area. Data from one course are averaged for each collection date. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6084/m9.figshare.19657862
title: Identification of a novel self-compatible phenotype and its mutant <i>SRK</i> allele harbourin an LTR-retrotransposon in radish (<i>Raphanus sativus</i> L.)

description: Self-incompatibility (SI) responses of radish (<i>Raphanus sativus</i> L.) are determined by two tightly linked genes encoding an <i>S</i> receptor kinase (SRK) and an <i>S</i>-locus cysteine-rich protein/<i>S</i> locus protein 11 (<i>SCR/SP11</i>), respectively. A radish showing an almost self-compatible (SC) phenotype was identified in this study. Inheritance patterns showed that this SC phenotype was dominant over an SI phenotype. In addition, the SC phenotype co-segregated with an <i>S</i> haplotype in an F<sub>2</sub> population. This SC radish contained an <i>RsS-26</i> haplotype in which duplicate <i>SRK</i>-like genes were previously identified. Full-length sequences of two <i>SRK</i>-like genes of 18,133-bp and 6,200-bp in length were obtained, and they were designated as <i>RsSRK-26-1</i> and <i>RsSRK-26-2</i>, respectively. No critical mutation was found in the coding region of <i>SRK</i>-like genes. However, a 4,146-bp intact LTR-retrotransposon was identified in the third intron of <i>RsSRK-26-1</i> of the SC radish. Interestingly, this LTR-retrotransposon was not detected in three other breeding lines containing the same <i>RsS-26</i> haplotype. While normal transcription of <i>RsSRK-26-1</i> and SI phenotypes were observed in these three breeding lines, no transcript of <i>RsSRK-26-1</i> was detected in the SC radish, suggesting that recent transposition of an LTR-retrotransposon in the <i>RsSRK-26-1</i> gene might be responsible for the SC phenotype of radish.