cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21516393
title: Pollen profile of bee pollen from semiarid Northeastern Brazil

description: ABSTRACT The Northeastern Brazil has xerical vegetation with different biomes. Its botanical heterogeneity represents shelter for diverse fauna. The region is rich in bees, which demand the resources offered by the plants, and provide pollination services. Bee pollen has been used as a beneficial food source for humans due to its high nutritional content and being a natural antioxidant. Pollen analysis can determine the plant species visited by bees, using them as the source of pollen supply. This study aimed to identify the main pollen types present in the pollen collected by Apis mellifera in the Northeastern Brazil and to define its botanical affinity. Commercial bee pollen samples produced in the region were treated by acetolysis method, mounted on slides, and the frequency of occurrence was estimated for each type of pollen. It was possible to distinguish 113 pollen types belonging to 35 botanical families, distributed in 92 genera. Fabaceae and Asteraceae were the families that most contributed to pollen types. Pollen types of Cocos nucifera and Myrcia were found in more than 50% of the samples. The families Arecaceae and Fabaceae showed high beekeeping potential. There is a striking similarity between the pollen samples from the states of Pernambuco and Rio Grande Norte.
DOI: 10.6084/m9.figshare.21516393.v1
title: Pollen profile of bee pollen from semiarid Northeastern Brazil

description: ABSTRACT The Northeastern Brazil has xerical vegetation with different biomes. Its botanical heterogeneity represents shelter for diverse fauna. The region is rich in bees, which demand the resources offered by the plants, and provide pollination services. Bee pollen has been used as a beneficial food source for humans due to its high nutritional content and being a natural antioxidant. Pollen analysis can determine the plant species visited by bees, using them as the source of pollen supply. This study aimed to identify the main pollen types present in the pollen collected by Apis mellifera in the Northeastern Brazil and to define its botanical affinity. Commercial bee pollen samples produced in the region were treated by acetolysis method, mounted on slides, and the frequency of occurrence was estimated for each type of pollen. It was possible to distinguish 113 pollen types belonging to 35 botanical families, distributed in 92 genera. Fabaceae and Asteraceae were the families that most contributed to pollen types. Pollen types of Cocos nucifera and Myrcia were found in more than 50% of the samples. The families Arecaceae and Fabaceae showed high beekeeping potential. There is a striking similarity between the pollen samples from the states of Pernambuco and Rio Grande Norte.
DOI: 10.6084/m9.figshare.21516398
title: Selective Separation and Preconcentration of Caffeine from Natural and Pharmaceutical Products using New Polyurethane Foams

description: Abstract Two polyurethane foam-based sorbents (PUF) were synthesized by imprinting and grafting techniques and examined for selective separation and preconcentration of caffeine (CAF) in some pharmaceutical products and in black tea. Molecularly imprinted PUF was synthesized based on hydrogen-bonding interactions between CAF and alizarin yellow G (AYG) and subsequent polymerization into PUF. The static experiments indicated optimum sorption conditions at pH=6.5 and 5.5 for imprinted PUF (AY-IPUF) and grafted PUF (AY-GPUF), respectively. In the online experiments, the suitable preconcentration time was found to be 40 and 20s for (AY-IPUF) and (AY-GPUF), respectively, at a flow rate of 1.75 mL.min-1. Desorption of CAF has been affected by passing 500 μL of 0.05, 0.01 mol.L−1 HCl eluent onto (AY-IPUF) and (AY-GPUF), respectively. The online methods have provided satisfactory enrichment factors of 8.4 and 10.5 for (AY-IPUF) and (AY-GPUF), respectively. The time consumed for preconcentartion, elution and determination steps was 1.48 and 1.05 min, thus, the throughput was 42 and 57 h-1, for (AY-IPUF) and (AY-GPUF), respectively. The developed sorbents were studied for the determination of CAF in pharmaceutical samples which will be helpful to minimize caffeinism. Finally, in silico bioactivity, ADMET and drug-likeness predictive computational studies of caffeine were also carried out.
DOI: 10.6084/m9.figshare.21516398.v1
title: Selective Separation and Preconcentration of Caffeine from Natural and Pharmaceutical Products using New Polyurethane Foams

description: Abstract Two polyurethane foam-based sorbents (PUF) were synthesized by imprinting and grafting techniques and examined for selective separation and preconcentration of caffeine (CAF) in some pharmaceutical products and in black tea. Molecularly imprinted PUF was synthesized based on hydrogen-bonding interactions between CAF and alizarin yellow G (AYG) and subsequent polymerization into PUF. The static experiments indicated optimum sorption conditions at pH=6.5 and 5.5 for imprinted PUF (AY-IPUF) and grafted PUF (AY-GPUF), respectively. In the online experiments, the suitable preconcentration time was found to be 40 and 20s for (AY-IPUF) and (AY-GPUF), respectively, at a flow rate of 1.75 mL.min-1. Desorption of CAF has been affected by passing 500 μL of 0.05, 0.01 mol.L−1 HCl eluent onto (AY-IPUF) and (AY-GPUF), respectively. The online methods have provided satisfactory enrichment factors of 8.4 and 10.5 for (AY-IPUF) and (AY-GPUF), respectively. The time consumed for preconcentartion, elution and determination steps was 1.48 and 1.05 min, thus, the throughput was 42 and 57 h-1, for (AY-IPUF) and (AY-GPUF), respectively. The developed sorbents were studied for the determination of CAF in pharmaceutical samples which will be helpful to minimize caffeinism. Finally, in silico bioactivity, ADMET and drug-likeness predictive computational studies of caffeine were also carried out.
DOI: 10.6073/pasta/eba6752c4d1eabc4f71ef07cc916eee4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-9 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/1ab6e5cba5ba92a46bc0d658999f11b4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 9 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-9 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-9 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.6084/m9.figshare.21516404
title: Alternative Methodology of Problem Cases - AMPC for soil education guided by emancipatory principles

description: ABSTRACT Soil Education aims to give individuals a transforming formative process for conscious actions related to the soil in their life experiences in and with the world. As such, the educational methodologies addressing soil-related contents should be in dialogue with the purpose of this educational process. On the perspective of education for social transformation, it is recommended that professors of Higher Education avoid from pedagogical actions with traditional approaches, and start using other strategies and methodologies centered on students and their context. With the challenge of addressing the implementation of emancipatory principles in educational procedures within the disciplinary structure of a traditional paradigm of education and achieving the aim of Soil Education, we put forward the Alternative Methodology of Problem Cases (AMPC), which was shaped up from two methodologies with constructivist principles, P roblem-Based Learning (PBL) and Team-Based Learning (TBL). This methodology is divided into three phases (preparation, application, and reflection), which are in turn divided into seven steps that complement each other (recovery of socio-historical knowing and knowledge; study of the themes; problem case resolution; team guidance; individual activity report; and individual and collective feedback). In addition, the steps contain individual and team assignments, which revolve around the resolution of problem cases related to the future profession. The AMPC is different from PBL and TBL as the former is grounded on emancipatory principles that facilitate the development of educational processes that value the socio-historical knowing and knowledge of individuals and enable the development of students’ autonomy, creativity, critical thinking, and awareness for actions in real life. The challenges through which individuals can develop relational, complex, and critical thinking, apply them to professional life situations, confront and reframe their knowledge and knowing, as well as create solutions and plan future scenarios with the practice of solving problem cases about soils consist in the capacity of AMPC to be efficient to soil learning.
DOI: 10.6084/m9.figshare.21516404.v1
title: Alternative Methodology of Problem Cases - AMPC for soil education guided by emancipatory principles

description: ABSTRACT Soil Education aims to give individuals a transforming formative process for conscious actions related to the soil in their life experiences in and with the world. As such, the educational methodologies addressing soil-related contents should be in dialogue with the purpose of this educational process. On the perspective of education for social transformation, it is recommended that professors of Higher Education avoid from pedagogical actions with traditional approaches, and start using other strategies and methodologies centered on students and their context. With the challenge of addressing the implementation of emancipatory principles in educational procedures within the disciplinary structure of a traditional paradigm of education and achieving the aim of Soil Education, we put forward the Alternative Methodology of Problem Cases (AMPC), which was shaped up from two methodologies with constructivist principles, P roblem-Based Learning (PBL) and Team-Based Learning (TBL). This methodology is divided into three phases (preparation, application, and reflection), which are in turn divided into seven steps that complement each other (recovery of socio-historical knowing and knowledge; study of the themes; problem case resolution; team guidance; individual activity report; and individual and collective feedback). In addition, the steps contain individual and team assignments, which revolve around the resolution of problem cases related to the future profession. The AMPC is different from PBL and TBL as the former is grounded on emancipatory principles that facilitate the development of educational processes that value the socio-historical knowing and knowledge of individuals and enable the development of students’ autonomy, creativity, critical thinking, and awareness for actions in real life. The challenges through which individuals can develop relational, complex, and critical thinking, apply them to professional life situations, confront and reframe their knowledge and knowing, as well as create solutions and plan future scenarios with the practice of solving problem cases about soils consist in the capacity of AMPC to be efficient to soil learning.
DOI: 10.6084/m9.figshare.21516412
title: Effects of CEACAM1 in oral keratinocytes on HO-1 expression induced by Candida β-glucan particles

description: Abstract Objective Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) is a member of the carcinoembryonic antigen family. Although its expression has been found in chronic oral inflammatory epithelium, this study aimed to know whether CEACAM1 in oral keratinocytes participates in host immune response against Candida albicans . Methodology We investigated CEACAM1 expression in oral keratinocytes induced by C. albicans as well as by Candida cell wall component β-glucan particles (β-GPs). Furthermore, the effects of CEACAM1 on β-GPs-induced heme oxygenase-1 (HO-1) expression and its related signals were examined. Results Fluorescence staining showed CEACAM1 expression in oral keratinocytes (RT7) cells, whereas quantitative reverse transcription (RT)-PCR indicated that both live and heat-killed C. albicans increased CEACAM1 mRNA expression in RT7 cells. Examinations using quantitative RT-PCR and western blotting indicated that CEACAM1 expression was also increased by β-GPs derived from C. albicans . Specific siRNA for CEACAM1 decreased HO-1 expression induced by β-GPs from C. albicans as well as the budding yeast microorganism Saccharomyces cerevisiae . Moreover, knockdown of CEACAM1 decreased β-GPs-induced ROS activity in the early phase and translocation of Nrf2 into the nucleus. Conclusion CEACAM1 in oral keratinocytes may have a critical role in regulation of HO-1 for host immune defense during Candida infection.
DOI: 10.6084/m9.figshare.21516412.v1
title: Effects of CEACAM1 in oral keratinocytes on HO-1 expression induced by Candida β-glucan particles

description: Abstract Objective Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) is a member of the carcinoembryonic antigen family. Although its expression has been found in chronic oral inflammatory epithelium, this study aimed to know whether CEACAM1 in oral keratinocytes participates in host immune response against Candida albicans . Methodology We investigated CEACAM1 expression in oral keratinocytes induced by C. albicans as well as by Candida cell wall component β-glucan particles (β-GPs). Furthermore, the effects of CEACAM1 on β-GPs-induced heme oxygenase-1 (HO-1) expression and its related signals were examined. Results Fluorescence staining showed CEACAM1 expression in oral keratinocytes (RT7) cells, whereas quantitative reverse transcription (RT)-PCR indicated that both live and heat-killed C. albicans increased CEACAM1 mRNA expression in RT7 cells. Examinations using quantitative RT-PCR and western blotting indicated that CEACAM1 expression was also increased by β-GPs derived from C. albicans . Specific siRNA for CEACAM1 decreased HO-1 expression induced by β-GPs from C. albicans as well as the budding yeast microorganism Saccharomyces cerevisiae . Moreover, knockdown of CEACAM1 decreased β-GPs-induced ROS activity in the early phase and translocation of Nrf2 into the nucleus. Conclusion CEACAM1 in oral keratinocytes may have a critical role in regulation of HO-1 for host immune defense during Candida infection.
DOI: 10.6084/m9.figshare.17060300
title: Lifespan, growth, senescence and island syndrome: accounting for imperfect detection and continuous growth

description: Table 1. Notation and biological meaning of data, latent states and parameters.1. The "data.Rdata" file contains the clean data of the study to run the model. 2. "Best_model_code.txt" file contains the best selected JAGS model. 3. "model_run.R" contains the script to run the model. 4. "Best_model_code.txt" contains the best model used in the analysis TablaS2.2. Table that collects the iformation of the systematic review of survival and growth characteristics of different insular and mainland populations of <em>Podarcis spp.</em> <br>
DOI: 10.25917/4atf-f968
title: Sharing academic research: The role of repositories (Interview guides and deidentified transcripts)
DOI: 10.6084/m9.figshare.21453936
title: Single cell RNA sequencing in experimental Crohn's disease

description: Parse Bioscience Single cell RNA sequencing (ScRNA seq) platform was used to perform ScRNA Seq on single cell suspension from mesentry of SAMP treated intraperitoneally with PBS and 5 million human bone marrow derived mesenchymal stem cells.
DOI: 10.6084/m9.figshare.21453936.v1
title: Single cell RNA sequencing in experimental Crohn's disease

description: Parse Bioscience Single cell RNA sequencing (ScRNA seq) platform was used to perform ScRNA Seq on single cell suspension from mesentry of SAMP treated intraperitoneally with PBS and 5 million human bone marrow derived mesenchymal stem cells.
DOI: 10.5281/zenodo.7071282
title: Convolutional Neural Networks for Classifying Combinatorial Metamaterials

description: This dataset contains the training and test data, as well as the trained neural networks as used for the paper 'Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials', as published in Physical Review Letters. In this paper, a neural network is used to classify each \(k \times k\) unit cell design of metamaterial M1 and M2 into one of two classes (C or I). Additionally, the performance of the trained networks is analysed in detail. A more detailed description of the contents of the dataset follows below. <strong>NeuralNetwork_train_and_test_data.zip</strong> This file contains the train and test data used to train the Convolutional Neural Networks (CNNs) of the paper. Each unit cell size has its own file, and is saved in a zipped numpy file type (.npz). It contains data for metamaterial M1 ("smiley_cube"), and metamaterial M2 classification (i) ("prek_xy") and (ii) ("unimodal_vs_oligomodal_inc_stripmodes"). <strong>CNN_saves_kxk.zip</strong> This file contains the parameter configurations of the CNNs trained on \(k \times k\) unit cells for metamaterial M2 classification (ii). Classification (i) is denoted by an additional M2ii in the file name. Metamaterial M1 is denoted by an extra M1 in the file name. Every hyperparameter (number of filters<em> nf,</em> number of hidden neurons<em> nh</em>, learning rate<em> lr</em>) combination is saved separately. The neural networks can be loaded using Google's TensorFlow package in Python, specifically using the 'tf.keras.models.load_model' function.
description: {"references": ["van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials. Physical Review Letters, 129(19), 198003."]}
DOI: 10.5281/zenodo.5992647
title: Convolutional Neural Networks for Classifying Combinatorial Metamaterials

description: This dataset contains the training and test data, as well as the trained neural networks as used for the paper 'Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials', as published in Physical Review Letters. In this paper, a neural network is used to classify each \(k \times k\) unit cell design of metamaterial M1 and M2 into one of two classes (C or I). Additionally, the performance of the trained networks is analysed in detail. A more detailed description of the contents of the dataset follows below. <strong>NeuralNetwork_train_and_test_data.zip</strong> This file contains the train and test data used to train the Convolutional Neural Networks (CNNs) of the paper. Each unit cell size has its own file, and is saved in a zipped numpy file type (.npz). It contains data for metamaterial M1 ("smiley_cube"), and metamaterial M2 classification (i) ("prek_xy") and (ii) ("unimodal_vs_oligomodal_inc_stripmodes"). <strong>CNN_saves_kxk.zip</strong> This file contains the parameter configurations of the CNNs trained on \(k \times k\) unit cells for metamaterial M2 classification (ii). Classification (i) is denoted by an additional M2ii in the file name. Metamaterial M1 is denoted by an extra M1 in the file name. Every hyperparameter (number of filters<em> nf,</em> number of hidden neurons<em> nh</em>, learning rate<em> lr</em>) combination is saved separately. The neural networks can be loaded using Google's TensorFlow package in Python, specifically using the 'tf.keras.models.load_model' function.
description: {"references": ["van Mastrigt, R., Dijkstra, M., van Hecke, M., & Coulais, C. (2022). Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials. Physical Review Letters, 129(19), 198003."]}
DOI: 10.6084/m9.figshare.19747435
title: The Perception of a Leader as an Attachment Figure and Its Role in Predicting Team Performance

description: <strong>Is It Worth Being Attached to the Leader? Transformational Leadership and Various Types of Performance: the Mediating Role of Leader as Attachment Figure</strong> <strong>Abstract</strong> We assumed that the perception of the leader as an attachment figure would mediate the relationship between transformational leadership transformational leadership and leader/follower's reports of team performance. Leaders (N = 38) and employees (N = 204) completed separate questionnaire batteries. Team members assessed their perceptions of the leader as an attachment figure, transformational leadership of their leaders, and general and citizenship performance. Leaders assessed their transformational leadership style and the performance of their teams. We applied multi-level structural equation modeling (multi-level mediation). Perceptions of the leader as an attachment figure did not significantly mediate team or general performance prediction. But, the transformational leadership of the leader (team level) positively predicted the dimensions of the attachment figure (secure figure and separation distress – individual level). The secure figure positively and separation distress negatively predicted interpersonal and organizational citizenship performance at the team level. The perception of a leader as an attachment figure at the team level has different characteristics than at the individual level. The results indicate that the best scenario for team performance, as seen through the lens of transformational leadership, is a secure-figure leader and followers with low separation distress. The discussion meets the topics of the low statistical power and the need to differentiate a leader's attachment figure functions in organizations regarding the individual versus team level.