cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12848832.v1
title: Techno-economic analysis of air-source heat pump (ASHP) technology for single-detached home heating applications in Canada

description: The air-source heat pump (ASHP) is a popular system that does not see much use in cold-climates despite its high potential in low carbon footprint. This study was designed to evaluate the techno-economic feasibility of its application to single-detached homes in Canada. First, a set of support vector regression (SVR) models was developed by a housing database for prediction of the exposed surface areas of homes in five Canadian cities: Vancouver, Toronto, Montreal, Edmonton, and Yellowknife. The predicted areas were then used to estimate the heat demands of all homes. As a result, the technical evaluation was conducted by comparison of the heat loss rate with the heat supply rate of ASHPs. Annual energy consumption was calculated using a bin method for furnace-alone and furnace/ASHP hybrid systems. Seasonal operating costs and greenhouse gases (GHG) emissions were estimated by utility costs and emissions factors for each city. Our findings show that Vancouver, Toronto, and Montreal are technically feasible to adopt the ASHP technology for economic and low GHG emission benefits. Although currently Edmonton and Yellowknife could not theoretically gain ASHP’s benefits, the ASHP technology is still a promising technology to be implemented in the future if renewable energy infrastructures are established.
DOI: 10.6084/m9.figshare.13605899
title: CpG data of Yorkshire pigs

description: DNA methylation data of 28 Yorkshire pigs generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13605899.v1
title: CpG data of Yorkshire pigs

description: DNA methylation data of 28 Yorkshire pigs generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13605851
title: CpG data of Landrace pig

description: DNA metthylation data of 31 Landrace pigs generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13605851.v1
title: CpG data of Landrace pig

description: DNA metthylation data of 31 Landrace pigs generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13605836
title: CpG dataset of Qingui pig

description: DNA methylation data generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13604903
title: CpG dataset of Chenghua pig

description: DNA methylation data of Chinese Chenghua pig generated by Bismark software (v0.22.1).
DOI: 10.6084/m9.figshare.13604903.v1
title: CpG dataset of Chenghua pig

description: DNA methylation data of Chinese Chenghua pig generated by Bismark software (v0.22.1).
DOI: 10.25345/c5352x
title: MassIVE MSV000087513 - Using brain cell type-specific protein interactomes to interpret genetic data in schizophrenia
title: Hsu Y, Nacu E, Liu R, Kim A, Tsafou K, Petrossian N, Crotty W, Suh JM, Pintacuda G, Riseman J, Martin J, Malolepsza E, Li T, Singh T, Ge T, Egri SB, Tanenbaum B, Stanclift CR, Apffel AM, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Stanley Global Asia Initiatives, Carr SA, Schenone M, Jaffe J, Fornelos N, Huang H, Eggan KC, Lage K. 2021. Genetics have nominated many schizophrenia risk genes that lack functional interpretation. To empower such interpretation, we executed interaction proteomics for six risk genes in human induced neurons and found the resulting protein network to be enriched for common variant risk of schizophrenia in Europeans and East Asians. The network is down-regulated in layer 5/6 cortical neurons of patients and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and also contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in patients with schizophrenia and bipolar disease. Our findings establish brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and psychiatric diseases.
DOI: 10.25345/c5zc00
title: MassIVE MSV000087514 - Using brain cell type-specific protein interactomes to interpret genetic data in schizophrenia
title: Hsu Y, Nacu E, Liu R, Kim A, Tsafou K, Petrossian N, Crotty W, Suh JM, Pintacuda G, Riseman J, Martin J, Malolepsza E, Li T, Singh T, Ge T, Egri SB, Tanenbaum B, Stanclift CR, Apffel AM, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Stanley Global Asia Initiatives, Carr SA, Schenone M, Jaffe J, Fornelos N, Huang H, Eggan KC, Lage K. 2021. Genetics have nominated many schizophrenia risk genes that lack functional interpretation. To empower such interpretation, we executed interaction proteomics for six risk genes in human induced neurons and found the resulting protein network to be enriched for common variant risk of schizophrenia in Europeans and East Asians. The network is down-regulated in layer 5/6 cortical neurons of patients and can complement fine-mapping and eQTL data to prioritize additional genes in GWAS loci. A sub-network centered on HCN1 is enriched for common variant risk and also contains proteins (HCN4 and AKAP11) enriched for rare protein-truncating mutations in patients with schizophrenia and bipolar disease. Our findings establish brain cell-type-specific interactomes as an organizing framework to facilitate interpretation of genetic and transcriptomic data in schizophrenia and psychiatric diseases.
DOI: 10.6084/m9.figshare.13235203
title: Reducing risks in spare parts service contracts with a long downtime constraint

description: This article investigates spare parts service contracts for capital goods. We consider a single-item, single-location inventory system that serves one customer with multiple machines. During the contract execution phase, the true demand rate is observed. It can differ from the estimated demand rate because of two factors: increased demand variation in finite horizon settings and a shift in the mean utilization of the machines by the user during the contract. When the true demand rate is higher than the estimated demand rate, the Original Equipment Manufacturer (OEM) is faced with higher-than-expected costs for the execution of the contract, and the asset user is generally faced with a higher number of extreme long downtime events. Therefore, we introduce the flexible-time contract, which ends after a predetermined number of demands. Using a Markov decision process, we prove that a state-dependent base stock policy is optimal under a flexible-time contract. Using simulation, we compare the flexible-time contract with the standard fixed-time contract. Our results show that the flexible-time contract reduces the costs for the OEM by up to 35% and prevents not meeting the agreed-on service level. We obtain similar results in a multi-item setting.
DOI: 10.6084/m9.figshare.13235203.v1
title: Reducing risks in spare parts service contracts with a long downtime constraint

description: This article investigates spare parts service contracts for capital goods. We consider a single-item, single-location inventory system that serves one customer with multiple machines. During the contract execution phase, the true demand rate is observed. It can differ from the estimated demand rate because of two factors: increased demand variation in finite horizon settings and a shift in the mean utilization of the machines by the user during the contract. When the true demand rate is higher than the estimated demand rate, the Original Equipment Manufacturer (OEM) is faced with higher-than-expected costs for the execution of the contract, and the asset user is generally faced with a higher number of extreme long downtime events. Therefore, we introduce the flexible-time contract, which ends after a predetermined number of demands. Using a Markov decision process, we prove that a state-dependent base stock policy is optimal under a flexible-time contract. Using simulation, we compare the flexible-time contract with the standard fixed-time contract. Our results show that the flexible-time contract reduces the costs for the OEM by up to 35% and prevents not meeting the agreed-on service level. We obtain similar results in a multi-item setting.
DOI: 10.6084/m9.figshare.13607779.v2
title: Decomposition methods for solving Markov decision processes with multiple models of the parameters

description: We consider the problem of decision-making in Markov decision processes (MDPs) when the reward or transition probability parameters are not known with certainty. We study an approach in which the decision maker considers multiple models of the parameters for an MDP and wishes to find a policy that optimizes an objective function that considers the performance with respect to each model, such as maximizing the expected performance or maximizing worst-case performance. Existing solution methods rely on mixed-integer program (MIP) formulations, but have previously been limited to small instances, due to the computational complexity. In this article, we present branch-and-cut and policy-based branch-and-bound (PB-B&B) solution methods that leverage the decomposable structure of the problem and allow for the solution of MDPs that consider many models of the parameters. Numerical experiments show that a customized implementation of PB-B&B significantly outperforms the MIP-based solution methods and that the variance among model parameters can be an important factor in the value of solving these problems.
DOI: 10.6084/m9.figshare.13607779
title: Decomposition methods for solving Markov decision processes with multiple models of the parameters

description: We consider the problem of decision-making in Markov decision processes (MDPs) when the reward or transition probability parameters are not known with certainty. We study an approach in which the decision maker considers multiple models of the parameters for an MDP and wishes to find a policy that optimizes an objective function that considers the performance with respect to each model, such as maximizing the expected performance or maximizing worst-case performance. Existing solution methods rely on mixed-integer program (MIP) formulations, but have previously been limited to small instances, due to the computational complexity. In this article, we present branch-and-cut and policy-based branch-and-bound (PB-B&B) solution methods that leverage the decomposable structure of the problem and allow for the solution of MDPs that consider many models of the parameters. Numerical experiments show that a customized implementation of PB-B&B significantly outperforms the MIP-based solution methods and that the variance among model parameters can be an important factor in the value of solving these problems.
DOI: 10.6084/m9.figshare.13607779.v1
title: Decomposition Methods for Solving Markov Decision Processes with Multiple Models of the Parameters

description: We consider the problem of decision-making in Markov decision processes (MDPs) when the reward or transition probability parameters are not known with certainty. We consider an approach in which the decision maker (DM) considers multiple models of the parameters for an MDP and wishes to find a policy that optimizes an objective function that considers the performance with respect to each model, such as maximizing the expected performance or maximizing worst-case performance. Existing solution methods rely on mixed-integer program (MIP) formulations, but have previously been limited to small instances due to the computational complexity. In this article, we present branch-and-cut (B&C) and policy-based branchand- bound (PB-B&B) solution methods that leverage the decomposable structure of the problem and allow for the solution of MDPs that consider many models of the parameters. Numerical experiments show that a customized implementation of PB-B&B significantly outperforms the MIP-based solution methods and that the variance among model parameters can be an important factor in the value of solving these problems.
DOI: 10.25345/c5tn75
title: MassIVE MSV000087515 - GNPS Endophytic Streptomyces BE18
title: Secondary metabolites of endophytic Streptomyces BE18 isolated form pine trees. Cultivated in TSB medium; secondary metabolites extracted using n-butanol. Non-targeted LC-MS/MS was carried out in positive ionization mode.
DOI: 10.6084/m9.figshare.14676504.v1
title: Item Matrix for Evaluating the External Evaluation of PMAQ-AB .docx

description: MIND / AE / PMAQ-AB tem 06 dimensões, 24 subdimensões e 38 itens. Apresenta uma adequação das bases teóricas - guiada pelas dimensões propostas na estrutura dos Centros de Controle e Prevenção de Doenças (CDC) e pelas regras e critérios do Joint Committee on Standards for Education Evaluation (JCSEE) aos pressupostos teóricos e desenho de uma Avaliação Externa da Atenção Primária à Saúde. Para o MIND / AE / PMAQ-AB, mantivemos as dimensões propostas com seus respectivos padrões e critérios, sistematizando-as em itens.
DOI: 10.5281/zenodo.4792277
title: Lightning and MMIA raw data

description: This file contains the MMIA optical raw data from ASIM and the VLF/LF lightning raw data recorded by the GZ station. The *lig is the lightning data. The *CDF is the MMIA data.
DOI: 10.25919/kvky-4t86
title: Southern HII Region Discovery Survey (SHRDS): Dataset 7

description: The Southern HII Region Discovery Survey is an Australia Telescope Compact Array 4-6 and 8-10 GHz radio continuum and radio recombination line survey of Milky Way HII regions (Wenger et al., 2021). This data archive contains all relevant intermediate data products from the final SHRDS data release (the Full Catalog). For each observed HII region and calibrator field, this archive contains (1) a 4 GHz bandwidth, full-Stokes, multi-scale, multi-frequency synthesis (MS-MFS) continuum FITS image, (2) up to sixteen 256 MHz bandwidth, full-Stokes, MS-MFS continuum FITS images covering the full 4 GHz bandwidth, (3) a Stokes I MS-MFS FITS image of each RRL transition, (4) a Stokes I multi-scale FITS data cube of each RRL transition, and (5) a FITS image containing the watershed segmentation region for each identified HII region at each observed frequency. The archive also includes the relevant residual images/cubes and primary beam images for all of these data products, as well as all of the images and cubes smoothed to a common angular resolution.
DOI: 10.6084/m9.figshare.14676504.v2
title: Item Matrix for Evaluating the External Evaluation of Primary Health Care.docx

description: MIND / AE / PMAQ-AB has 06 dimensions, 24 subdimensions and 38 items. It presents an adequacy of the theoretical bases - guided by the dimensions proposed in the Centers for Disease Control and Prevention (CDC) framework and by the rules and criteria of the Joint Committee on Standards for Educational Evaluation (JCSEE) to the theoretical assumptions and the design of an External Assessment of Attention Primary to Health. For MIND / AE / PMAQ-AB, we maintained the proposed dimensions with their respective standards and criteria, systematizing them in items.
DOI: 10.6084/m9.figshare.12848766
title: Barrel-Induced Variation in the Microbiome and Mycobiome of Aged Sour Ale and Imperial Porter Beer

description: Traditional styles of beer that undergo spontaneous fermentation and/or maturation in oak barrels are becoming increasingly popular amongst craft beer consumers. These products are costly to produce, partly because some barrels develop undesirable flavor profiles and are excluded from the final blend. As a first step towards understanding variation in beer quality that occurs during barrel maturation, next-generation sequencing was used to profile the bacterial microbiome and fungal mycobiome of three beers; an American Coolship Ale (ACA), an aged sour ale, and an Imperial Porter. For the aged sour ale, produced across three years, it was observed that while there were significant differences in key lactic and acetic acid bacterial genera according to beer age, within each production batch there was substantial barrel-induced variation in microbiome profiles. Similarly, for the Imperial Porter significant differences were observed in the relative abundance of <i>Saccharomyces cerevisiae</i> and <i>Brettanomyces bruxellensis</i> across the barrel population at two sampling time points. Overall, the results point towards barrel-induced variation in the rate of “microbial maturation”. Further work to understand the underlying cause of this variation will enable brewers to better predict and monitor their barrel projects to achieve more consistent outcomes.
DOI: 10.6084/m9.figshare.12848766.v1
title: Barrel-Induced Variation in the Microbiome and Mycobiome of Aged Sour Ale and Imperial Porter Beer

description: Traditional styles of beer that undergo spontaneous fermentation and/or maturation in oak barrels are becoming increasingly popular amongst craft beer consumers. These products are costly to produce, partly because some barrels develop undesirable flavor profiles and are excluded from the final blend. As a first step towards understanding variation in beer quality that occurs during barrel maturation, next-generation sequencing was used to profile the bacterial microbiome and fungal mycobiome of three beers; an American Coolship Ale (ACA), an aged sour ale, and an Imperial Porter. For the aged sour ale, produced across three years, it was observed that while there were significant differences in key lactic and acetic acid bacterial genera according to beer age, within each production batch there was substantial barrel-induced variation in microbiome profiles. Similarly, for the Imperial Porter significant differences were observed in the relative abundance of <i>Saccharomyces cerevisiae</i> and <i>Brettanomyces bruxellensis</i> across the barrel population at two sampling time points. Overall, the results point towards barrel-induced variation in the rate of “microbial maturation”. Further work to understand the underlying cause of this variation will enable brewers to better predict and monitor their barrel projects to achieve more consistent outcomes.
DOI: 10.6084/m9.figshare.12964842.v2
title: Elucidation of the Formation Mechanism of 2-Mercapto-3-Methyl-1-Butanol in Beer. Part II: Identification of the Key Enzymes in Yeast

description: 2-Mercapto-3-methyl-1-butanol (2M3MB) imparts an onion-like off-flavor to beer and is known to be formed from 2,3-epoxy-3-methylbutanal (EMB), which is generated in the reaction of iso-alpha acids with oxygen during the hot aeration of brewer's wort. Our previous results revealed that 2-mercapto-3-hydroxy-3-methylbutanal (2M3H3MB), formed from EMB by a nonenzymatic reaction with hydrogen sulfide, serves as the intermediate to 2M3MB. However, little is known regarding the 2M3H3MB to 2M3MB conversion process. In the present study, preparative column chromatography coupled with an enzyme assay revealed that two enzymes of <i>Saccharomyces pastorianus</i>, Old Yellow Enzyme 2 (Oye2p) and alcohol dehydrogenase 6 (Adh6p), are involved in the conversion process. An <i>in vitro</i> reaction containing these enzymes purified from recombinant <i>Escherichia coli</i> cells converted 2M3H3MB to 2M3MB. Furthermore, a yeast mutant with deletion of the genes encoding these two enzymes dramatically decreased 2M3MB formation. Our series of studies has therefore revealed the overall mechanism of 2M3MB formation starting from EMB through 2M3MB.
DOI: 10.6084/m9.figshare.12964842
title: Elucidation of the Formation Mechanism of 2-Mercapto-3-Methyl-1-Butanol in Beer. Part II: Identification of the Key Enzymes in Yeast

description: 2-Mercapto-3-methyl-1-butanol (2M3MB) imparts an onion-like off-flavor to beer and is known to be formed from 2,3-epoxy-3-methylbutanal (EMB), which is generated in the reaction of iso-alpha acids with oxygen during the hot aeration of brewer's wort. Our previous results revealed that 2-mercapto-3-hydroxy-3-methylbutanal (2M3H3MB), formed from EMB by a nonenzymatic reaction with hydrogen sulfide, serves as the intermediate to 2M3MB. However, little is known regarding the 2M3H3MB to 2M3MB conversion process. In the present study, preparative column chromatography coupled with an enzyme assay revealed that two enzymes of <i>Saccharomyces pastorianus</i>, Old Yellow Enzyme 2 (Oye2p) and alcohol dehydrogenase 6 (Adh6p), are involved in the conversion process. An <i>in vitro</i> reaction containing these enzymes purified from recombinant <i>Escherichia coli</i> cells converted 2M3H3MB to 2M3MB. Furthermore, a yeast mutant with deletion of the genes encoding these two enzymes dramatically decreased 2M3MB formation. Our series of studies has therefore revealed the overall mechanism of 2M3MB formation starting from EMB through 2M3MB.
DOI: 10.6084/m9.figshare.12964842.v1
title: Elucidation of the Formation Mechanism of 2-Mercapto-3-Methyl-1-Butanol in Beer. Part II: Identification of the Key Enzymes in Yeast

description: 2-Mercapto-3-methyl-1-butanol (2M3MB) imparts an onion-like off-flavor to beer and is known to be formed from 2,3-epoxy-3-methylbutanal (EMB), which is generated in the reaction of iso-alpha acids with oxygen during the hot aeration of brewer's wort. Our previous results revealed that 2-mercapto-3-hydroxy-3-methylbutanal (2M3H3MB), formed from EMB by a nonenzymatic reaction with hydrogen sulfide, serves as the intermediate to 2M3MB. However, little is known regarding the 2M3H3MB to 2M3MB conversion process. In the present study, preparative column chromatography coupled with an enzyme assay revealed that two enzymes of <i>Saccharomyces pastorianus</i>, Old Yellow Enzyme 2 (Oye2p) and alcohol dehydrogenase 6 (Adh6p), are involved in the conversion process. An <i>in vitro</i> reaction containing these enzymes purified from recombinant <i>Escherichia coli</i> cells converted 2M3H3MB to 2M3MB. Furthermore, a yeast mutant with deletion of the genes encoding these two enzymes dramatically decreased 2M3MB formation. Our series of studies has therefore revealed the overall mechanism of 2M3MB formation starting from EMB through 2M3MB.
DOI: 10.6084/m9.figshare.14182510
title: Mass Spectrometry Metabolomics of Hot Steep Malt Extracts and Association to Sensory Traits

description: In the brewing industry, there is value in defining sensory attributes of malt, and recent protocols have been developed that enable analysis of aroma and taste. One method, the “hot steep,” is a hot water extract that is highly reproducible and able to distinguish malt flavor. However, the chemistry of the hot steep extracts has not been fully defined, and the links between specific metabolites of the hot steep and their resulting sensory attributes remains largely unknown. Here, a study was designed to describe the metabolite chemistry of hot steep extracts, and to characterize variation in this chemistry and corresponding sensory by comparative analysis of 12 commercial pale malts. Metabolomics was performed on the 12 malt hot steep extracts using three mass spectrometry platforms to detect volatiles (HS/SPME-GC-MS) and non-volatiles (UHPLC-TOF-MS and GC-MS). The analysis detected a total of 1,026 compounds including lipids, organic acids, esters, and Maillard Reaction Products (MRPs), of which 162 compounds (15.7%) varied among the 12 hot steep extracts. Sensory of the 12 hot steep extracts was performed using an integrated Check All That Apply and quantitative analysis method for 14 traits, and the data revealed <i>cereal, grassy,</i> and <i>dough</i> aromas were the attributes that varied. The metabolomics and sensory data were integrated using OPLS analysis. The analysis revealed 64 compounds strongly associated with <i>cereal</i> aroma and included MRPs. A total of 23 compounds were strongly associated with <i>grassy</i> aroma including alkane/alkenes, benzenoids, organic acids, lipids, and fatty acid esters. Taken together, these data highlight the utility of the hot steep extract to differentiate malt for flavor and chemistry and indicate specific compounds that drive the most dominant flavors observed in this population of pale malts.