cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20017984.v1
title: Morphocultural and pathogenic characterization of Colletotrichum gossypii and Colletotrichum gossypii var. cephalosporioides under different temperatures

description: ABSTRACT Considering the importance of identifying Colletotrichum species associated with cotton plants, this study aimed to characterize the morphological and pathogenic isolates of C. gossypii var. cephalosporioides and C. gossypii under different temperatures. Five isolates of C. gossypii var. cephalosporioides and C. gossypii were incubated at 20, 25 and 30 °C. The cultural characteristics data were analyzed through ANOVA and the means compared by the Tukey test. There were differences between the isolates of the two species concerning mycelial growth and sporulation at different temperatures. Temperatures between 20 to 30 °C increased the length of conidia but did not influence the width, whereas between 25 and 30 °C, there was the highest mycelial growth. Colletotrichum gossypii expressed anthracnose symptoms, and ramulosis symptoms were observed only in plants inoculated with C. gossypii var. cephalosporioides.
DOI: 10.6084/m9.figshare.20017985
title: Irrigation strategies in production of cherry tomatoes under water scarcity conditions

description: ABSTRACT Controlled water deficit in the phenological phases of cherry tomato can be used without significantly impairing crop yield. The objective was to determine the coefficients of sensitivity to water deficit in cherry tomatoes and to understand the effects of this deficit in agronomic variables and water use efficiency for different irrigation strategies based on phenological stages. The experimental design used was randomized blocks in a split-plot scheme, with four replicates. The primary treatments distributed in the plots were as follows: control without induction of water deficit (W1) and induction of water deficit in the vegetative stage (W2), in the flowering stage (W3), in the fruiting stage (W4), in the maturation stage (W5), and in all phenological stages (W6). The secondary treatments comprised two cherry tomato cultivars, orange and red, placed in the subplots. Water deficit was established at 50% of crop evapotranspiration. Cherry tomato is recommended for production in semiarid regions owing to their adaptability to controlled water deficit based on the coefficient of sensitivity to water deficit, which assists in the management of water resources for irrigation and the maintenance of crop productivity. The vegetative stage is recommended for the deficit irrigation strategy. However, water deficit should not be implemented in the flowering stage, which is considered the most critical stage for the application of water deficit in both cultivars.
DOI: 10.6084/m9.figshare.20017985.v1
title: Irrigation strategies in production of cherry tomatoes under water scarcity conditions

description: ABSTRACT Controlled water deficit in the phenological phases of cherry tomato can be used without significantly impairing crop yield. The objective was to determine the coefficients of sensitivity to water deficit in cherry tomatoes and to understand the effects of this deficit in agronomic variables and water use efficiency for different irrigation strategies based on phenological stages. The experimental design used was randomized blocks in a split-plot scheme, with four replicates. The primary treatments distributed in the plots were as follows: control without induction of water deficit (W1) and induction of water deficit in the vegetative stage (W2), in the flowering stage (W3), in the fruiting stage (W4), in the maturation stage (W5), and in all phenological stages (W6). The secondary treatments comprised two cherry tomato cultivars, orange and red, placed in the subplots. Water deficit was established at 50% of crop evapotranspiration. Cherry tomato is recommended for production in semiarid regions owing to their adaptability to controlled water deficit based on the coefficient of sensitivity to water deficit, which assists in the management of water resources for irrigation and the maintenance of crop productivity. The vegetative stage is recommended for the deficit irrigation strategy. However, water deficit should not be implemented in the flowering stage, which is considered the most critical stage for the application of water deficit in both cultivars.
DOI: 10.6084/m9.figshare.14933373
title: EspF of Enterohemorrhagic Escherichia coli enhances apoptosis via endoplasmic reticulum stress in intestinal epithelial cells: an iTRAQ-based comparative proteomic analysis

description: The details of protein identification and quantification are shown in Table S1. The details and COG, KEGG function analysis of altered proteins within host cells after infection are shown in Table S2. The corresponding Gene Ontology function of all differentially expressed proteins are shown in Table S3. Table S4 shows the detailed results of protein-protein interaction analysis of differentially expressed proteins.
DOI: 10.6084/m9.figshare.20017990
title: Macronutrient absorption rate of a Runner-type peanut cultivar

description: ABSTRACT Peanuts are one of the most produced legumes in the world; however, there is a lack of knowledge on their nutritional needs and the growth phases with greater demands; therefore research is required on the nutrient absorption rate of the crop. The objectives of this study were to determine the rates of absorption in the vegetative part and the pods, the accumulation of macronutrients in the vegetative part, pods, and in total, and the nutrient export to pods during the cycle of the peanut, cv Runner IAC 503, grown under full irrigation. The experiment was conducted at the Experimental Farm of the Faculty of Agrarian and Veterinary Sciences, Universidade Estadual Paulista, Jaboticabal campus, SP, Brazil, from March to August 2019 using a randomized block design, with evaluations of the macronutrient absorption rate and accumulation at 35, 49, 63, 77, 91, 105, 119, 133 and 147 days after sowing, with four replications. Higher nutritional demands of peanuts occurred between 63 and 105 days after sowing. Greater total accumulation of nutrients was reached at 118 DAS, with 234.8, 173.5, 79.0, 45.8, 23.4 and 18.8 kg ha-1 for N, K, Ca, Mg, P, and S, respectively. Exports of macronutrients contained in the pods totaled 138.8, 43.9, 14.6, 12.0, 7.3 and 5.4 kg ha-1 for N, K, P, Mg, S and Ca, respectively. Exported K in the harvest was two times greater than the applied amount at sowing, which followed the current Brazilian recommendation, causing possible depletion of this nutrient in the soil.
DOI: 10.6084/m9.figshare.20017990.v1
title: Macronutrient absorption rate of a Runner-type peanut cultivar

description: ABSTRACT Peanuts are one of the most produced legumes in the world; however, there is a lack of knowledge on their nutritional needs and the growth phases with greater demands; therefore research is required on the nutrient absorption rate of the crop. The objectives of this study were to determine the rates of absorption in the vegetative part and the pods, the accumulation of macronutrients in the vegetative part, pods, and in total, and the nutrient export to pods during the cycle of the peanut, cv Runner IAC 503, grown under full irrigation. The experiment was conducted at the Experimental Farm of the Faculty of Agrarian and Veterinary Sciences, Universidade Estadual Paulista, Jaboticabal campus, SP, Brazil, from March to August 2019 using a randomized block design, with evaluations of the macronutrient absorption rate and accumulation at 35, 49, 63, 77, 91, 105, 119, 133 and 147 days after sowing, with four replications. Higher nutritional demands of peanuts occurred between 63 and 105 days after sowing. Greater total accumulation of nutrients was reached at 118 DAS, with 234.8, 173.5, 79.0, 45.8, 23.4 and 18.8 kg ha-1 for N, K, Ca, Mg, P, and S, respectively. Exports of macronutrients contained in the pods totaled 138.8, 43.9, 14.6, 12.0, 7.3 and 5.4 kg ha-1 for N, K, P, Mg, S and Ca, respectively. Exported K in the harvest was two times greater than the applied amount at sowing, which followed the current Brazilian recommendation, causing possible depletion of this nutrient in the soil.
DOI: 10.6084/m9.figshare.20017991
title: Performance of the AquaCrop model for corn hybrids under different irrigation strategies

description: ABSTRACT The objective of this study was to evaluate the performance of the AquaCrop model in the estimation of grain yield and crop water yield for nine hybrids of corn with different irrigation strategies in the municipalities of Santiago, Chile, and Alegrete, in the western region of the state of Rio Grande do Sul, Brazil. Data on climate, soil, management and crop yield over four crop seasons (2015 to 2019) were used, the first two in Santiago city, and the third and fourth in Alegrete city. The experimental design was randomised blocks, consisting of five irrigation treatments (0, 50, 75, 100 and 125% of crop evapotranspiration), and four, six and one hybrid, respectively, for the first, second and third growing season. In the fourth crop season, one hybrid was considered and the treatments consisted of suppression in water supply to the crop during its reproductive period, corresponding to ETc during vegetative (ETcVeg.) and reproductive (ETcRep.) phases, as follows: 0, 50Veg./25Rep., 75Veg./37.5Rep., 100Veg./50Rep. and 100% of ETc. The performance of the model, evaluated through statistical indicators, was “excellent” and “good” for the simulation of grain yield and crop water productivity, respectively. There was a tendency of the model to overestimate the results under conditions of water deficit, this being more pronounced under severe deficit than under mild deficit, or in the reproductive period of the crop, and a tendency to underestimate the results under conditions of irrigation without deficit, i.e., 100 or 125% ETc.
DOI: 10.6084/m9.figshare.20017991.v1
title: Performance of the AquaCrop model for corn hybrids under different irrigation strategies

description: ABSTRACT The objective of this study was to evaluate the performance of the AquaCrop model in the estimation of grain yield and crop water yield for nine hybrids of corn with different irrigation strategies in the municipalities of Santiago, Chile, and Alegrete, in the western region of the state of Rio Grande do Sul, Brazil. Data on climate, soil, management and crop yield over four crop seasons (2015 to 2019) were used, the first two in Santiago city, and the third and fourth in Alegrete city. The experimental design was randomised blocks, consisting of five irrigation treatments (0, 50, 75, 100 and 125% of crop evapotranspiration), and four, six and one hybrid, respectively, for the first, second and third growing season. In the fourth crop season, one hybrid was considered and the treatments consisted of suppression in water supply to the crop during its reproductive period, corresponding to ETc during vegetative (ETcVeg.) and reproductive (ETcRep.) phases, as follows: 0, 50Veg./25Rep., 75Veg./37.5Rep., 100Veg./50Rep. and 100% of ETc. The performance of the model, evaluated through statistical indicators, was “excellent” and “good” for the simulation of grain yield and crop water productivity, respectively. There was a tendency of the model to overestimate the results under conditions of water deficit, this being more pronounced under severe deficit than under mild deficit, or in the reproductive period of the crop, and a tendency to underestimate the results under conditions of irrigation without deficit, i.e., 100 or 125% ETc.
DOI: 10.6084/m9.figshare.20017994
title: Production and fruit quality of watermelon hybrids under different plant spacing

description: ABSTRACT Plant spacing management in watermelon alters plant competition for water, light, and nutrients, influencing fruit yield, morphology, and quality. The study aimed to evaluate the spacing management between plants of two watermelon hybrids in terms of morphology and fruit yield and quality. Two watermelon hybrids (NUN 21613 and NUN 21901) and three plant spacings (0.60, 0.80 and 1.0 m with 2,5 m between rows) were studied in a randomized block design arranged in a 2 × 3 factorial scheme with five replications. Fruit firmness, the content of total soluble solids, visual, and sensorial notes at 0, 7 and 14 days after harvest, length of the main branch of the plant, fresh fruit mass, number of fruits per plant and per hectare, and fruit yield were evaluated from August to December 2018. The greater planting spacing provided better vegetative development, higher yield, and increased resistance of the watermelon fruit to deterioration after harvest. The physicochemical and sensory characteristics of the fruits were not affected by the spacing and hybrids of watermelon in this study.
DOI: 10.6084/m9.figshare.20017994.v1
title: Production and fruit quality of watermelon hybrids under different plant spacing

description: ABSTRACT Plant spacing management in watermelon alters plant competition for water, light, and nutrients, influencing fruit yield, morphology, and quality. The study aimed to evaluate the spacing management between plants of two watermelon hybrids in terms of morphology and fruit yield and quality. Two watermelon hybrids (NUN 21613 and NUN 21901) and three plant spacings (0.60, 0.80 and 1.0 m with 2,5 m between rows) were studied in a randomized block design arranged in a 2 × 3 factorial scheme with five replications. Fruit firmness, the content of total soluble solids, visual, and sensorial notes at 0, 7 and 14 days after harvest, length of the main branch of the plant, fresh fruit mass, number of fruits per plant and per hectare, and fruit yield were evaluated from August to December 2018. The greater planting spacing provided better vegetative development, higher yield, and increased resistance of the watermelon fruit to deterioration after harvest. The physicochemical and sensory characteristics of the fruits were not affected by the spacing and hybrids of watermelon in this study.
DOI: 10.6084/m9.figshare.20017996
title: Morphophysiology and production of guava as a function of water salinity and salicylic acid

description: ABSTRACT The availability of water with low electrical conductivity for irrigation in the Northeastern semi-arid region is one of the limiting factors for the expansion of irrigated agriculture. Thus, it is necessary to use waters with high electrical conductivity, requiring the search for strategies to reduce the negative impacts of salts on plants. In this context, the objective of this study was to evaluate the morphophysiology and production of guava cv. Paluma subjected to irrigation with saline waters and foliar application of salicylic acid after grafting. The experiment was conducted under greenhouse conditions in Campina Grande - PB, Brazil, in a randomized block design, adopting a 2 × 4 factorial scheme, with two values of electrical conductivity of irrigation water - ECw (0.6 and 3.2 dS m-1) and four concentrations of salicylic acid (0, 1.2, 2.4 and 3.6 mM), with three replicates. Irrigation with water of 3.2 dS m-1 reduced gas exchange, rootstock and scion diameters, crown diameter and volume, vegetative vigor index, polar and equatorial diameters of fruit, number of fruits, mean fruit weight, and fresh fruit weight of fruits of guava cv. Paluma. Salicylic acid application up to 3.6 mM did not mitigate the effects of salt stress on grafted guava cv. Paluma, at 390 days after transplanting.
DOI: 10.6084/m9.figshare.20017996.v1
title: Morphophysiology and production of guava as a function of water salinity and salicylic acid

description: ABSTRACT The availability of water with low electrical conductivity for irrigation in the Northeastern semi-arid region is one of the limiting factors for the expansion of irrigated agriculture. Thus, it is necessary to use waters with high electrical conductivity, requiring the search for strategies to reduce the negative impacts of salts on plants. In this context, the objective of this study was to evaluate the morphophysiology and production of guava cv. Paluma subjected to irrigation with saline waters and foliar application of salicylic acid after grafting. The experiment was conducted under greenhouse conditions in Campina Grande - PB, Brazil, in a randomized block design, adopting a 2 × 4 factorial scheme, with two values of electrical conductivity of irrigation water - ECw (0.6 and 3.2 dS m-1) and four concentrations of salicylic acid (0, 1.2, 2.4 and 3.6 mM), with three replicates. Irrigation with water of 3.2 dS m-1 reduced gas exchange, rootstock and scion diameters, crown diameter and volume, vegetative vigor index, polar and equatorial diameters of fruit, number of fruits, mean fruit weight, and fresh fruit weight of fruits of guava cv. Paluma. Salicylic acid application up to 3.6 mM did not mitigate the effects of salt stress on grafted guava cv. Paluma, at 390 days after transplanting.
DOI: 10.6084/m9.figshare.20017997
title: Predicting soybean grain yield using aerial drone images

description: ABSTRACT This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresina microregion, Piaui state (PI), Brazil. Soybean cv. BRS-8980 was evaluated in stage R5 and submitted to two water regimes (WR) (100 and 50% of crop evapotranspiration - ETc) and two N levels (with and without N supplementation). A randomized block design in a split-plot scheme was used, in which the plots were the water regimes and the subplots N levels, with five replicates. Each plot contained twenty 4.5 m-long rows, spaced 0.5 m apart, with a total area of 45 and 6 m² study area for grain yield evaluations. Twenty VIs obtained from multispectral aerial images were evaluated and correlated with grain yield measurements in the field. Pearson’s correlation, linear regression, and spatial autocorrelation (Global and Local Moran’s I) were used to analyze the performance of the VIs in predicting grain yield. The R2, RMSE and nRMSE indices were used to validate the linear regression models. The prediction model based on EVI-2 exhibited high spatial randomness for all the treatments, and smaller prediction errors of 149.68 and 173.96 kg ha-1 (without and with N supplementation, respectively).
DOI: 10.6084/m9.figshare.20017997.v1
title: Predicting soybean grain yield using aerial drone images

description: ABSTRACT This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresina microregion, Piaui state (PI), Brazil. Soybean cv. BRS-8980 was evaluated in stage R5 and submitted to two water regimes (WR) (100 and 50% of crop evapotranspiration - ETc) and two N levels (with and without N supplementation). A randomized block design in a split-plot scheme was used, in which the plots were the water regimes and the subplots N levels, with five replicates. Each plot contained twenty 4.5 m-long rows, spaced 0.5 m apart, with a total area of 45 and 6 m² study area for grain yield evaluations. Twenty VIs obtained from multispectral aerial images were evaluated and correlated with grain yield measurements in the field. Pearson’s correlation, linear regression, and spatial autocorrelation (Global and Local Moran’s I) were used to analyze the performance of the VIs in predicting grain yield. The R2, RMSE and nRMSE indices were used to validate the linear regression models. The prediction model based on EVI-2 exhibited high spatial randomness for all the treatments, and smaller prediction errors of 149.68 and 173.96 kg ha-1 (without and with N supplementation, respectively).
DOI: 10.14272/zpipufjbrzfykj-uhfffaoysa-n.2
title: benzo[lmn][3,8]phenanthroline
title: InChI=1S/C14H8N2/c1-2-10-6-16-8-12-4-3-11-7-15-5-9(1)13(11)14(10)12/h1-8H

description: This dataset contains experimental data from a sample (6,13-diazatetracyclo[6.6.2.04,16.011,15]hexadeca-1(14),2,4,6,8(16),9,11(15),12-octaene, InChI=1S/C14H8N2/c1-2-10-6-16-8-12-4-3-11-7-15-5-9(1)13(11)14(10)12/h1-8H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/zpipufjbrzfykj-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (6,13-diazatetracyclo[6.6.2.04,16.011,15]hexadeca-1(14),2,4,6,8(16),9,11(15),12-octaene)
title: InChI=1S/C14H8N2/c1-2-10-6-16-8-12-4-3-11-7-15-5-9(1)13(11)14(10)12/h1-8H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, chloroform-d1, ppm) δ = 9.48 (s, 4H, H-Ar), 8.17 (s, 4H, H-Ar).
DOI: 10.14272/zpipufjbrzfykj-uhfffaoysa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (6,13-diazatetracyclo[6.6.2.04,16.011,15]hexadeca-1(14),2,4,6,8(16),9,11(15),12-octaene)
title: InChI=1S/C14H8N2/c1-2-10-6-16-8-12-4-3-11-7-15-5-9(1)13(11)14(10)12/h1-8H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, chloroform‑d1, ppm) δ = 145.5 (4CH), 126.5 (4Cq), 126.5 (2Cq), 126.0 (4CH).
DOI: 10.6084/m9.figshare.19705123
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DOI: 10.6084/m9.figshare.19705123.v2
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DOI: 10.6084/m9.figshare.19705123.v1
title: Skin conductance response at 24 biologically active points

description: The dataset was provided by ARDK TECHNOLOGY CO., LTD., and the authorization to publish under the CC BY 4.0 license was obtained. The raw data contains skin conductance measurements of 24 points (m1-m24), age, gender, remapped subject id and operator id, and calculated mean values. The dataset contains 133,034 records out of 133,598. 564 records were removed during data cleaning due to incorrect age or measurement values and were not included in the study.
DOI: 10.5517/ccdc.csd.cc29j2qn
title: CCDC 2130621: Experimental Crystal Structure Determination

description: Related Article: Pablo Ríos, Matthew S. See, Rex C. Handford, Simon J. Teat, T. Don Tilley|2022|Chemical Science|13|6619|doi:10.1039/D2SC00848C
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.cc29j2sq
title: CCDC 2130623: Experimental Crystal Structure Determination

description: Related Article: Pablo Ríos, Matthew S. See, Rex C. Handford, Simon J. Teat, T. Don Tilley|2022|Chemical Science|13|6619|doi:10.1039/D2SC00848C
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.cc29y47n
title: CCDC 2143161: Experimental Crystal Structure Determination

description: Related Article: Debashis Barik, Rai-Shung Liu|2022|J.Org.Chem.|87|7097|doi:10.1021/acs.joc.2c00274
description: Related Article: Debashis Barik|2022|CSD Communication|||
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.