cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20zjq8
title: CCDC 1876390: Experimental Crystal Structure Determination

description: Related Article: Steffen Treiling, Cui Wang, Christoph Fçrster, Florian Reichenauer, Jens Kalmbach, Pit Boden, Joe P. Harris, Luca M. Carrella, Eva Rentschler, Ute Resch-Genger, Christian Reber, Michael Seitz, Markus Gerhards, and Katja Heinze|2019|Angew.Chem.,Int.Ed.|58|18075|doi:10.1002/anie.201909325
DOI: 10.5517/ccdc.csd.cc237d81
title: CCDC 1943522: Experimental Crystal Structure Determination

description: Related Article: Christopher Schwarz, Jens Handelmann, Daniel M. Baier, Alina Ouissa, Viktoria H. Gessner|2019|Cat.Sci.Tech.|9|6808|doi:10.1039/C9CY01861A
DOI: 10.5517/ccdc.csd.cc237d92
title: CCDC 1943523: Experimental Crystal Structure Determination

description: Related Article: Christopher Schwarz, Jens Handelmann, Daniel M. Baier, Alina Ouissa, Viktoria H. Gessner|2019|Cat.Sci.Tech.|9|6808|doi:10.1039/C9CY01861A
DOI: 10.18749/dodis-1345
title: dodis.ch/1345
DOI: 10.18749/dodis-1346
title: dodis.ch/1346
DOI: 10.18749/dodis-1347
title: dodis.ch/1347
DOI: 10.18749/dodis-1348
title: dodis.ch/1348
DOI: 10.18749/dodis-1349
title: dodis.ch/1349
DOI: 10.18749/dodis-1350
title: dodis.ch/1350
DOI: 10.18749/dodis-1351
title: dodis.ch/1351
DOI: 10.18749/dodis-1352
title: dodis.ch/1352
DOI: 10.25318/1210000101-eng
title: International merchandise trade by commodity, inactive

description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are unadjusted and seasonally adjusted, and are on a Customs and Balance of Payments basis.
DOI: 10.25318/3410005801-eng
title: Destination of net shipments of rolled steel products to consuming industries

description: This table contains 257 series, with data for years 2004 - 2013 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Destination of shipments (28 items: Total shipments; Total domestic shipments; Domestic shipments to steel service centres and other wholesalers and warehouses industries; Domestic shipments to motor vehicles and parts industries; ...); Rolled steel products (15 items: Total, rolled steel products; Steel primary forms; Rails and heavy structural sections; Intermediate structural sections; ...).
DOI: 10.5517/ccdc.csd.cc2135ly
title: CCDC 1879889: Experimental Crystal Structure Determination

description: Related Article: Céline Sperandio, Guilhem Quintard, Jean‐Valere Naubron, Michel Giorgi, Mehdi Yemloul, Jean‐Luc Parrain, Jean Rodriguez, Adrien Quintard|2019|Chem.-Eur.J.|25|15098|doi:10.1002/chem.201902983
DOI: 10.5517/ccdc.csd.cc2135mz
title: CCDC 1879890: Experimental Crystal Structure Determination

description: Related Article: Céline Sperandio, Guilhem Quintard, Jean‐Valere Naubron, Michel Giorgi, Mehdi Yemloul, Jean‐Luc Parrain, Jean Rodriguez, Adrien Quintard|2019|Chem.-Eur.J.|25|15098|doi:10.1002/chem.201902983
DOI: 10.5517/ccdc.csd.cc2138m2
title: CCDC 1879983: Experimental Crystal Structure Determination

description: Related Article: Céline Sperandio, Guilhem Quintard, Jean‐Valere Naubron, Michel Giorgi, Mehdi Yemloul, Jean‐Luc Parrain, Jean Rodriguez, Adrien Quintard|2019|Chem.-Eur.J.|25|15098|doi:10.1002/chem.201902983
DOI: 10.5517/ccdc.csd.cc21hpx5
title: CCDC 1891927: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Zaytsev, Rachel Bulmer, Valery N. Kozhevnikov, Mark Sims, Giuseppe Modolo, Andreas Wilden, Paul G. Waddell, Andreas Geist, Petra J. Panak, Patrik Wessling, Frank W. Lewis|2020|Chem.-Eur.J.|26|428|doi:10.1002/chem.201903685
DOI: 10.5517/ccdc.csd.cc21s5df
title: CCDC 1900064: Experimental Crystal Structure Determination

description: Related Article: Pauline Poutrel, Maria V. Ivanova, Xavier Pannecoucke, Philippe Jubault, Thomas Poisson|2019|Chem.-Eur.J.|25|15262|doi:10.1002/chem.201904192
DOI: 10.5517/ccdc.csd.cc237dc4
title: CCDC 1943525: Experimental Crystal Structure Determination

description: Related Article: Christopher Schwarz, Jens Handelmann, Daniel M. Baier, Alina Ouissa, Viktoria H. Gessner|2019|Cat.Sci.Tech.|9|6808|doi:10.1039/C9CY01861A
DOI: 10.6084/m9.figshare.19941890
title: Psilcoybe, Strophariaceae, Agrocybe, and Gymnopilus MSA

description: Mafft multiple sequence alignment of all generated ITS sequences and SH hypothesis sequences for Strophariaceae, Agrocybe, and Gymnopilus.
DOI: 10.6084/m9.figshare.19941890.v1
title: Psilcoybe, Strophariaceae, Agrocybe, and Gymnopilus MSA

description: Mafft multiple sequence alignment of all generated ITS sequences and SH hypothesis sequences for Strophariaceae, Agrocybe, and Gymnopilus.
DOI: 10.6084/m9.figshare.19941875.v1
title: Psilocybe only raw tree

description: Raw phylogenetic tree in nexus format including all generated ITS sequences, all SH sequences from UNITE, and sequences for Psilcoybe and Deconica from NCBI. <br> Bootstrap values in NHX format.
DOI: 10.6084/m9.figshare.19941875
title: Psilocybe only raw tree

description: Raw phylogenetic tree in nexus format including all generated ITS sequences, all SH sequences from UNITE, and sequences for Psilcoybe and Deconica from NCBI. <br> Bootstrap values in NHX format.
DOI: 10.6084/m9.figshare.19940723
title: Psilocybe ITS with UNITE and NCBI sequences, mafft multiple sequence alignment

description: Multiple sequences alignment for phylogenetic tree of Generated Psilocybe ITS including SH sequences from UNITE, and all Psilocybe and Deconicna (used as outgroup) from NCBI.
DOI: 10.6084/m9.figshare.19940723.v1
title: Psilocybe ITS with UNITE and NCBI sequences, mafft multiple sequence alignment

description: Multiple sequences alignment for phylogenetic tree of Generated Psilocybe ITS including SH sequences from UNITE, and all Psilocybe and Deconicna (used as outgroup) from NCBI.
DOI: 10.6084/m9.figshare.19940354
title: Figure1_Phylogenetic tree of Strophariaceae and Psilocybe raw tree.txt

description: Figure 1: Phylogenetic tree of <em>Strophariaceae </em>and <em>Psilocybe</em> (left)Phylogenetic tree of all sequenced museum specimen ITS sequences along with all species hypothesis sequences for the family <em>Strophariaceae, </em>and the genera <em>Agrcoybe</em> and <em>Galerina </em>from the UNITE fungal sequence database. Correct identifications within the genus <em>Psilocybe </em>are highlighted in blue, misidentifications at the genus level are highlighted in red, and taxonomic inconsistencies are highlighted in orange. (right) Visual representation of the three main species used for this study, <em>Psilocybe cubensis </em>(a), <em>Psilocybe cyanescens </em>(b), and <em>Psilocybe semilanceata </em>(c). <br> Raw tree data, newick format, bootstrap values in NHX format.
DOI: 10.6084/m9.figshare.19940354.v1
title: Figure1_Phylogenetic tree of Strophariaceae and Psilocybe raw tree.txt

description: Figure 1: Phylogenetic tree of <em>Strophariaceae </em>and <em>Psilocybe</em> (left)Phylogenetic tree of all sequenced museum specimen ITS sequences along with all species hypothesis sequences for the family <em>Strophariaceae, </em>and the genera <em>Agrcoybe</em> and <em>Galerina </em>from the UNITE fungal sequence database. Correct identifications within the genus <em>Psilocybe </em>are highlighted in blue, misidentifications at the genus level are highlighted in red, and taxonomic inconsistencies are highlighted in orange. (right) Visual representation of the three main species used for this study, <em>Psilocybe cubensis </em>(a), <em>Psilocybe cyanescens </em>(b), and <em>Psilocybe semilanceata </em>(c). <br> Raw tree data, newick format, bootstrap values in NHX format.
DOI: 10.5517/ccdc.csd.cc28vch0
title: CCDC 2110712: Experimental Crystal Structure Determination

description: Related Article: Anna Jurowska, Janusz Szklarzewicz, Natalia Basta, Maciej Hodorowicz|2022|Inorg.Chim.Acta|539|121033|doi:10.1016/j.ica.2022.121033
DOI: 10.5517/ccdc.csd.cc29903r
title: CCDC 2123813: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Mikolaj Zychowicz, Wiktor Zychowicz, Szymon Chorazy|2022|Chem.Commun.|58|6381|doi:10.1039/D2CC02238A
DOI: 10.5517/ccdc.csd.cc29905t
title: CCDC 2123815: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Mikolaj Zychowicz, Wiktor Zychowicz, Szymon Chorazy|2022|Chem.Commun.|58|6381|doi:10.1039/D2CC02238A
DOI: 10.5517/ccdc.csd.cc29902q
title: CCDC 2123812: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Mikolaj Zychowicz, Wiktor Zychowicz, Szymon Chorazy|2022|Chem.Commun.|58|6381|doi:10.1039/D2CC02238A
DOI: 10.5517/ccdc.csd.cc29904s
title: CCDC 2123814: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Mikolaj Zychowicz, Wiktor Zychowicz, Szymon Chorazy|2022|Chem.Commun.|58|6381|doi:10.1039/D2CC02238A
DOI: 10.6084/m9.figshare.19944408
title: USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL PHYSICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL

description: There is a great lack of information from soil surveys in the southern part of the State of Amazonas, Brazil. The use of tools such as geostatistics may improve environmental planning, use and management. In this study, we aimed to use scaled semivariograms in sample design of soil physical properties of some environments in Amazonas. We selected five areas located in the south of the state of Amazonas, Brazil, with varied soil uses, such as forest, archaeological dark earth (ADE), pasture, sugarcane cropping, and agroforestry. Regular mesh grids were set up in these areas with 64 sample points spaced at 10 m from each other. At these points, we determined the particle size composition, soil resistance to penetration, moisture, soil bulk density and particle density, macroporosity, microporosity, total porosity, and aggregate stability in water at a depth of 0.00-0.20 m. Descriptive and geostatistical analyses were performed. The sample density requirements were lower in the pasture area but higher in the forest. We concluded that managed-environments had differences in their soil physical properties compared to the natural forest; notably, the soil in the ADE environment is physically improved in relation to the others. The physical properties evaluated showed a structure of spatial dependence with a slight variability of the forest compared to the others. The use of the range parameter of the semivariogram analysis proved to be effective in determining an ideal sample density.
DOI: 10.6084/m9.figshare.19944408.v1
title: USE OF SCALED SEMIVARIOGRAMS IN THE PLANNING SAMPLE OF SOIL PHYSICAL PROPERTIES IN SOUTHERN AMAZONAS, BRAZIL

description: There is a great lack of information from soil surveys in the southern part of the State of Amazonas, Brazil. The use of tools such as geostatistics may improve environmental planning, use and management. In this study, we aimed to use scaled semivariograms in sample design of soil physical properties of some environments in Amazonas. We selected five areas located in the south of the state of Amazonas, Brazil, with varied soil uses, such as forest, archaeological dark earth (ADE), pasture, sugarcane cropping, and agroforestry. Regular mesh grids were set up in these areas with 64 sample points spaced at 10 m from each other. At these points, we determined the particle size composition, soil resistance to penetration, moisture, soil bulk density and particle density, macroporosity, microporosity, total porosity, and aggregate stability in water at a depth of 0.00-0.20 m. Descriptive and geostatistical analyses were performed. The sample density requirements were lower in the pasture area but higher in the forest. We concluded that managed-environments had differences in their soil physical properties compared to the natural forest; notably, the soil in the ADE environment is physically improved in relation to the others. The physical properties evaluated showed a structure of spatial dependence with a slight variability of the forest compared to the others. The use of the range parameter of the semivariogram analysis proved to be effective in determining an ideal sample density.
DOI: 10.6084/m9.figshare.19944409
title: YIELD OF THE IRRIGATED WHEAT CROP SUBJECTED TO NITROGEN APPLICATION AND TO INOCULATION WITH AZOSPIRILLUM BRASILENSE

description: Inoculating wheat seeds with nitrogen-fixing bacteria such as Azospirillum brasilense may be beneficial to the crop and reduce the need for N application. Nevertheless, few studies have measured the benefit of this practice on irrigated wheat with the expectation of high yield and demand for N. The objective of this study was to evaluate the yield and N content of irrigated wheat under different N application rates, with and without inoculation with A. brasilense. Two experiments were carried out in 2011 and reevaluated in 2012. In each crop year, one experiment was set up in an area with low N availability in the soil (growing in succession to maize) and another with high availability (growing in succession to soybean or carrots). The treatments consisted of five N application rates, and inoculation or no inoculation with A. brasilense. The N rates tested were 20, 60, 100, 140, and 180 kg ha-1 in the area with low N availability, and 20, 50, 80, 110, and 140 kg ha-1 in the area with high N availability. Yield, grains per spike, dry matter accumulation in the shoots, N content in the index leaf and in the grain, and N uptake and export were evaluated. The N content in the index leaf increased through inoculation with A. brasilense, However, the N taken up was not affected by inoculation of the bacteria. The N applied increased wheat yield, and this increase was more evident in the area with low N availability in the soil.
DOI: 10.6084/m9.figshare.19944409.v1
title: YIELD OF THE IRRIGATED WHEAT CROP SUBJECTED TO NITROGEN APPLICATION AND TO INOCULATION WITH AZOSPIRILLUM BRASILENSE

description: Inoculating wheat seeds with nitrogen-fixing bacteria such as Azospirillum brasilense may be beneficial to the crop and reduce the need for N application. Nevertheless, few studies have measured the benefit of this practice on irrigated wheat with the expectation of high yield and demand for N. The objective of this study was to evaluate the yield and N content of irrigated wheat under different N application rates, with and without inoculation with A. brasilense. Two experiments were carried out in 2011 and reevaluated in 2012. In each crop year, one experiment was set up in an area with low N availability in the soil (growing in succession to maize) and another with high availability (growing in succession to soybean or carrots). The treatments consisted of five N application rates, and inoculation or no inoculation with A. brasilense. The N rates tested were 20, 60, 100, 140, and 180 kg ha-1 in the area with low N availability, and 20, 50, 80, 110, and 140 kg ha-1 in the area with high N availability. Yield, grains per spike, dry matter accumulation in the shoots, N content in the index leaf and in the grain, and N uptake and export were evaluated. The N content in the index leaf increased through inoculation with A. brasilense, However, the N taken up was not affected by inoculation of the bacteria. The N applied increased wheat yield, and this increase was more evident in the area with low N availability in the soil.
DOI: 10.6084/m9.figshare.19944411.v1
title: SPATIAL CORRELATION BETWEEN PHYSICAL PROPERTIES OF SOIL AND WEEDS IN TWO MANAGEMENT SYSTEMS

description: The spatial correlation between soil properties and weeds is relevant in agronomic and environmental terms. The analysis of this correlation is crucial for the interpretation of its meaning, for influencing factors such as dispersal mechanisms, seed production and survival, and the range of influence of soil management techniques. This study aimed to evaluate the spatial correlation between the physical properties of soil and weeds in no-tillage (NT) and conventional tillage (CT) systems. The following physical properties of soil and weeds were analyzed: soil bulk density, macroporosity, microporosity, total porosity, aeration capacity of soil matrix, soil water content at field capacity, weed shoot biomass, weed density, Commelina benghalensis density, and Bidens pilosa density. Generally, the ranges of the spatial correlations were higher in NT than in CT. The cross-variograms showed that many variables have a structure of combined spatial variation and can therefore be mapped from one another by co-kriging. This combined variation also allows inferences about the physical and biological meanings of the study variables. Results also showed that soil management systems influence the spatial dependence structure significantly.
DOI: 10.6084/m9.figshare.19944411
title: SPATIAL CORRELATION BETWEEN PHYSICAL PROPERTIES OF SOIL AND WEEDS IN TWO MANAGEMENT SYSTEMS

description: The spatial correlation between soil properties and weeds is relevant in agronomic and environmental terms. The analysis of this correlation is crucial for the interpretation of its meaning, for influencing factors such as dispersal mechanisms, seed production and survival, and the range of influence of soil management techniques. This study aimed to evaluate the spatial correlation between the physical properties of soil and weeds in no-tillage (NT) and conventional tillage (CT) systems. The following physical properties of soil and weeds were analyzed: soil bulk density, macroporosity, microporosity, total porosity, aeration capacity of soil matrix, soil water content at field capacity, weed shoot biomass, weed density, Commelina benghalensis density, and Bidens pilosa density. Generally, the ranges of the spatial correlations were higher in NT than in CT. The cross-variograms showed that many variables have a structure of combined spatial variation and can therefore be mapped from one another by co-kriging. This combined variation also allows inferences about the physical and biological meanings of the study variables. Results also showed that soil management systems influence the spatial dependence structure significantly.
DOI: 10.6084/m9.figshare.19944412
title: PEDO-TRANSFER FUNCTIONS FOR ESTIMATING SOIL BULK DENSITY IN CENTRAL AMAZONIA

description: Under field conditions in the Amazon forest, soil bulk density is difficult to measure. Rigorous methodological criteria must be applied to obtain reliable inventories of C stocks and soil nutrients, making this process expensive and sometimes unfeasible. This study aimed to generate models to estimate soil bulk density based on parameters that can be easily and reliably measured in the field and that are available in many soil-related inventories. Stepwise regression models to predict bulk density were developed using data on soil C content, clay content and pH in water from 140 permanent plots in terra firme (upland) forests near Manaus, Amazonas State, Brazil. The model results were interpreted according to the coefficient of determination (R2) and Akaike information criterion (AIC) and were validated with a dataset consisting of 125 plots different from those used to generate the models. The model with best performance in estimating soil bulk density under the conditions of this study included clay content and pH in water as independent variables and had R2 = 0.73 and AIC = -250.29. The performance of this model for predicting soil density was compared with that of models from the literature. The results showed that the locally calibrated equation was the most accurate for estimating soil bulk density for upland forests in the Manaus region.
DOI: 10.6084/m9.figshare.19944412.v1
title: PEDO-TRANSFER FUNCTIONS FOR ESTIMATING SOIL BULK DENSITY IN CENTRAL AMAZONIA

description: Under field conditions in the Amazon forest, soil bulk density is difficult to measure. Rigorous methodological criteria must be applied to obtain reliable inventories of C stocks and soil nutrients, making this process expensive and sometimes unfeasible. This study aimed to generate models to estimate soil bulk density based on parameters that can be easily and reliably measured in the field and that are available in many soil-related inventories. Stepwise regression models to predict bulk density were developed using data on soil C content, clay content and pH in water from 140 permanent plots in terra firme (upland) forests near Manaus, Amazonas State, Brazil. The model results were interpreted according to the coefficient of determination (R2) and Akaike information criterion (AIC) and were validated with a dataset consisting of 125 plots different from those used to generate the models. The model with best performance in estimating soil bulk density under the conditions of this study included clay content and pH in water as independent variables and had R2 = 0.73 and AIC = -250.29. The performance of this model for predicting soil density was compared with that of models from the literature. The results showed that the locally calibrated equation was the most accurate for estimating soil bulk density for upland forests in the Manaus region.
DOI: 10.6084/m9.figshare.19944415.v1
title: Soil Load-Bearing Capacity in Orange Grove Conservation Systems

description: Conservation tillage systems in orange groves can increase soil load-bearing capacity minimizing their risks of soil compaction. The objective of this study was to evaluate load-bearing capacity through preconsolidation pressure and its dependence on water content, bulk density, and organic carbon of a Typic Paleudult soil 18 years after setting up permanent plant cover between the rows of an orange grove. A randomized block experimental design was used, with three replications. Three groundcover treatments subjected to mowing between the rows of the grove, as of establishment of the orange grove in 1993, were studied: Paspalum notatum grass, the Arachis pintoi legume, and spontaneous vegetation. One hundred and eight undisturbed soil samples were collected in 2011 at the 0.00-0.10 m (87 g kg-1 clay) and 0.10-0.20 m (122 g kg-1 clay) depths under and between the wheel tracks of the machines between the rows of the orange grove consisting of sandy clay texture soil. Preconsolidation pressure was not dependent on soil water content, bulk density, or organic carbon content. Preconsolidation pressure from soil compression curves (25; 50; 100; 200; 400; 800; and 1,600 kPa) at water content under three potentials (-80; -330; and 1,000 hPa), soil bulk density, and soil organic carbon were determined. The preconsolidation pressure under the wheel tracks between the orange rows in the 0.00-0.10 m layer was lower in the legume and spontaneous vegetation treatments. Ongoing maintenance of the grass managed through mowing between the rows of the orange grove led to greater soil load-bearing capacity under the wheel tracks in the sandy surface layer.