cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7405653
title: Data of Consumers' Sensory Acceptance, Motives, and Choices of Organic vs Non-organic Foods: a case of Lithuanian Consumers

description: The data reflects study participants / Lithuanian food products consumers’ sensory acceptance, motives, and choices of organic vs non-organic foods. The study was done using a consumer test. For the consumer test, two food categories, namely organic and non-organic products – yoghurts and chocolates were included. Sensory propertieswere measured with four items (appearance, odor, taste, and texture). To identify consumer motives for yogurts and chocolates, the demographic characteristics and consumption habits of participants were collected using a questionnaire. The study sample entailed 127 participants: 50.4% (N=64) were from 18 to 44 age group, followed by 49.6% (N=63) from 45 to 60+ (e.g., participants over 60 were 25 (19.7%). 61.4% (N=78) were women, and 38.6% (49) were men.
DOI: 10.5281/zenodo.7405652
title: Data of Consumers' Sensory Acceptance, Motives, and Choices of Organic vs Non-organic Foods: a case of Lithuanian Consumers

description: The data reflects study participants / Lithuanian food products consumers’ sensory acceptance, motives, and choices of organic vs non-organic foods. The study was done using a consumer test. For the consumer test, two food categories, namely organic and non-organic products – yoghurts and chocolates were included. Sensory propertieswere measured with four items (appearance, odor, taste, and texture). To identify consumer motives for yogurts and chocolates, the demographic characteristics and consumption habits of participants were collected using a questionnaire. The study sample entailed 127 participants: 50.4% (N=64) were from 18 to 44 age group, followed by 49.6% (N=63) from 45 to 60+ (e.g., participants over 60 were 25 (19.7%). 61.4% (N=78) were women, and 38.6% (49) were men.
DOI: 10.6084/m9.figshare.19555063
title: Additional file 1 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 1. The number of related peaks for each gene.
DOI: 10.6084/m9.figshare.19555063.v1
title: Additional file 1 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 1. The number of related peaks for each gene.
DOI: 10.6084/m9.figshare.19555066
title: Additional file 2 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 2. The detailed information of unique links between distal peaks and gene promoters.
DOI: 10.6084/m9.figshare.19555066.v1
title: Additional file 2 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 2. The detailed information of unique links between distal peaks and gene promoters.
DOI: 10.6084/m9.figshare.19555069.v1
title: Additional file 3 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 3. The integrated LEC2 target ranking results.
DOI: 10.6084/m9.figshare.19555072.v1
title: Additional file 4 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 4. The TF rankings of interesting gene set or peak set.
DOI: 10.6084/m9.figshare.19555069
title: Additional file 3 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 3. The integrated LEC2 target ranking results.
DOI: 10.6084/m9.figshare.19555072
title: Additional file 4 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 4. The TF rankings of interesting gene set or peak set.
DOI: 10.6084/m9.figshare.19555075
title: Additional file 5 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 5. The TF activity during SE.
DOI: 10.6084/m9.figshare.19555075.v1
title: Additional file 5 of FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

description: Additional file 5. The TF activity during SE.
DOI: 10.5281/zenodo.7405375
title: Emotion Embeddings: Data

description: The experimental results of our emotion embeddings project. The codebase that generated these results is archived under DOI 10.5281/zenodo.7405327.
DOI: 10.5281/zenodo.7405374
title: Emotion Embeddings: Data

description: The experimental results of our emotion embeddings project. The codebase that generated these results is archived under DOI 10.5281/zenodo.7405327.
DOI: 10.5281/zenodo.7244568
title: mouse scRNA data set objects

description: Combined and converted scRNA data from http://tome.gs.washington.edu/ (Qui et al. 2022), see a detailed description of the study here: https://www.nature.com/articles/s41588-022-01018-x Data were downloaded from http://tome.gs.washington.edu/ as R rds files, combined into a single Seurat object and converted into loom and AnnData (h5ad) files to be able to analyse with e.g. python scanpy package. If you use this data, please cite Mohammed et al. 2017, Cheng et al. 2019, Pijuan-Sala et al. 2019, Cao et al. 2019 and Qui et al. 2022.
description: {"references": ["Qiu, C., Cao, J., Martin, B.K., Li, T., Welsh, I.C., Srivatsan, S., Huang, X., Calderon, D., Noble, W.S., Disteche, C.M. and Murray, S.A., 2022. Systematic reconstruction of cellular trajectories across mouse embryogenesis. Nature genetics, 54(3), pp.328-341.", "Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.", "Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5.", "Mohammed, H., Hernando-Herraez, I., Savino, A., Scialdone, A., Macaulay, I., Mulas, C., Chandra, T., Voet, T., Dean, W., Nichols, J. and Marioni, J.C., 2017. Single-cell landscape of transcriptional heterogeneity and cell fate decisions during mouse early gastrulation. Cell reports, 20(5), pp.1215-1228.", "Cheng, S., Pei, Y., He, L., Peng, G., Reinius, B., Tam, P.P., Jing, N. and Deng, Q., 2019. Single-cell RNA-seq reveals cellular heterogeneity of pluripotency transition and X chromosome dynamics during early mouse development. Cell reports, 26(10), pp.2593-2607.", "Pijuan-Sala, B., Griffiths, J.A., Guibentif, C., Hiscock, T.W., Jawaid, W., Calero-Nieto, F.J., Mulas, C., Ibarra-Soria, X., Tyser, R.C., Ho, D.L.L. and Reik, W., 2019. A single-cell molecular map of mouse gastrulation and early organogenesis. Nature, 566(7745), pp.490-495.", "Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D.M., Hill, A.J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F.J. and Trapnell, C., 2019. The single-cell transcriptional landscape of mammalian organogenesis. Nature, 566(7745), pp.496-502."]}
DOI: 10.5281/zenodo.7244567
title: mouse scRNA data set objects

description: Combined and converted scRNA data from http://tome.gs.washington.edu/ (Qui et al. 2022), see a detailed description of the study here: https://www.nature.com/articles/s41588-022-01018-x Data were downloaded from http://tome.gs.washington.edu/ as R rds files, combined into a single Seurat object and converted into loom and AnnData (h5ad) files to be able to analyse with e.g. python scanpy package. If you use this data, please cite Mohammed et al. 2017, Cheng et al. 2019, Pijuan-Sala et al. 2019, Cao et al. 2019 and Qui et al. 2022.
description: {"references": ["Qiu, C., Cao, J., Martin, B.K., Li, T., Welsh, I.C., Srivatsan, S., Huang, X., Calderon, D., Noble, W.S., Disteche, C.M. and Murray, S.A., 2022. Systematic reconstruction of cellular trajectories across mouse embryogenesis. Nature genetics, 54(3), pp.328-341.", "Satija, R., Farrell, J.A., Gennert, D., Schier, A.F. and Regev, A., 2015. Spatial reconstruction of single-cell gene expression data. Nature biotechnology, 33(5), pp.495-502.", "Wolf, F.A., Angerer, P. and Theis, F.J., 2018. SCANPY: large-scale single-cell gene expression data analysis. Genome biology, 19(1), pp.1-5.", "Mohammed, H., Hernando-Herraez, I., Savino, A., Scialdone, A., Macaulay, I., Mulas, C., Chandra, T., Voet, T., Dean, W., Nichols, J. and Marioni, J.C., 2017. Single-cell landscape of transcriptional heterogeneity and cell fate decisions during mouse early gastrulation. Cell reports, 20(5), pp.1215-1228.", "Cheng, S., Pei, Y., He, L., Peng, G., Reinius, B., Tam, P.P., Jing, N. and Deng, Q., 2019. Single-cell RNA-seq reveals cellular heterogeneity of pluripotency transition and X chromosome dynamics during early mouse development. Cell reports, 26(10), pp.2593-2607.", "Pijuan-Sala, B., Griffiths, J.A., Guibentif, C., Hiscock, T.W., Jawaid, W., Calero-Nieto, F.J., Mulas, C., Ibarra-Soria, X., Tyser, R.C., Ho, D.L.L. and Reik, W., 2019. A single-cell molecular map of mouse gastrulation and early organogenesis. Nature, 566(7745), pp.490-495.", "Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D.M., Hill, A.J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F.J. and Trapnell, C., 2019. The single-cell transcriptional landscape of mammalian organogenesis. Nature, 566(7745), pp.496-502."]}
DOI: 10.34703/gzx1-9v95/ob8bs9/ap2lw2
title: 2.shiny_app_instructions.pdf

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/gxvf4j
title: Calibrated LR Calculation.R

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/yudvz4
title: source calculate calibrated LLR app.R

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/cp6wxp
title: casework.tab

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/epvpkq
title: background.tab

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/ljbnjl
title: calculate calibrated LLR app.R

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/nmqovm
title: LR Functions.R

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/npmqsn
title: 1. File list.pdf

description: list of the files and a brief description of each file that is available for download
DOI: 10.34703/gzx1-9v95/ob8bs9
title: Shiny Glass Application

description: This R shiny application can be used to calculate the likelihood ratios using a multivariate kernel density (MVK) model. This app was developed to easily access the R code written previously by members of Prof. Almirall’s research group at Florida International University. In this procedure, MVK-calculated source likelihood ratios are calibrated using a pool adjacent violators (PAV) algorithm.
DOI: 10.34703/gzx1-9v95/ob8bs9/noy4fg
title: raw data example.tab

description: :unav
DOI: 10.34703/gzx1-9v95/ob8bs9/xgh0io
title: FIU Vehicle Glass Database V2.0.tab

description: This freely available research-based database consists of 762 samples of various vehicle glass (windshield, passenger side, driver side, etc.). The samples span various makes and models, and range in year from 2004-2019. All samples were collected from the M&M salvage yard in Ruckersville, VA.
DOI: 10.5281/zenodo.7405690
title: Resolving colistin resistance and heteroresistance in Enterobacter species

description: Species within the <em>Enterobacter cloacae </em>complex (ECC)<em> </em>include globally important nosocomial pathogens. A three-year study of ECC in Germany identified <em>Enterobacter xiangfangensis</em> as the most common species (65.5%) detected, a result replicated by examining a global pool of 3246 isolates. Antibiotic resistance profiling revealed widespread resistance and heteroresistance to the antibiotic colistin and detected the mobile colistin resistance (<em>mcr</em>)-9 gene in 19.2% of all isolates. We show that resistance and heteroresistance properties depend on the chromosomal <em>arnBCADTEF</em> gene cassette whose products catalyze transfer of L-Ara4N to lipid A. Using comparative genomics, mutational analysis, and quantitative lipid A profiling we demonstrate that intrinsic lipid A modification levels are genospecies-dependent and governed by allelic variations in <em>phoPQ</em> and <em>mgrB</em>, that encode a two-component sensor-activator system and specific inhibitor peptide. By generating <em>phoPQ </em>chimeras and combining them with <em>mgrB</em> alleles, we show that interactions at the pH-sensing interface of the sensory histidine kinase <em>phoQ</em> dictate <em>arnBCADTEF</em> expression levels. To minimize therapeutic failures, we developed an assay that accurately detects colistin resistance levels for any ECC isolate.
DOI: 10.5281/zenodo.7405689
title: Resolving colistin resistance and heteroresistance in Enterobacter species

description: Species within the <em>Enterobacter cloacae </em>complex (ECC)<em> </em>include globally important nosocomial pathogens. A three-year study of ECC in Germany identified <em>Enterobacter xiangfangensis</em> as the most common species (65.5%) detected, a result replicated by examining a global pool of 3246 isolates. Antibiotic resistance profiling revealed widespread resistance and heteroresistance to the antibiotic colistin and detected the mobile colistin resistance (<em>mcr</em>)-9 gene in 19.2% of all isolates. We show that resistance and heteroresistance properties depend on the chromosomal <em>arnBCADTEF</em> gene cassette whose products catalyze transfer of L-Ara4N to lipid A. Using comparative genomics, mutational analysis, and quantitative lipid A profiling we demonstrate that intrinsic lipid A modification levels are genospecies-dependent and governed by allelic variations in <em>phoPQ</em> and <em>mgrB</em>, that encode a two-component sensor-activator system and specific inhibitor peptide. By generating <em>phoPQ </em>chimeras and combining them with <em>mgrB</em> alleles, we show that interactions at the pH-sensing interface of the sensory histidine kinase <em>phoQ</em> dictate <em>arnBCADTEF</em> expression levels. To minimize therapeutic failures, we developed an assay that accurately detects colistin resistance levels for any ECC isolate.
DOI: 10.6084/m9.figshare.21625595
title: Data for Juvenile survival in yellow ground squirrels

description: The table contains data for the manuscript “Juvenile survival curves in a solitary ground squirrel with a prolonged hibernation: effects of individual characteristics, environment, and maternal investment”. The data describe the juvenile survival in yellow ground squirrel females (<em>Spermophilus fulvus</em>), observed in the natural colony in Saratovskaya oblast’, Russia, in the vicinity of village Dyakovka (50°43′88″N, 46°46′04″E).
DOI: 10.6084/m9.figshare.21625595.v1
title: Data for Juvenile survival in yellow ground squirrels

description: The table contains data for the manuscript “Juvenile survival curves in a solitary ground squirrel with a prolonged hibernation: effects of individual characteristics, environment, and maternal investment”. The data describe the juvenile survival in yellow ground squirrel females (<em>Spermophilus fulvus</em>), observed in the natural colony in Saratovskaya oblast’, Russia, in the vicinity of village Dyakovka (50°43′88″N, 46°46′04″E).
DOI: 10.6084/m9.figshare.21680852
title: Dataset_Reaction-time_data_For-share_V2

description: This is the dataset in the excel format of a cross-sectional study that included 64 graduate students who used a smartphone from the University of Phayao. They were randomly selected from strata based on city, age, and gender. Adolescents aged 18 to 22 were eligible for this study if they could converse adequately and had used smartphones for social media every day for at least a year before participation.
DOI: 10.6084/m9.figshare.21680852.v1
title: Dataset_Reaction-time_data_For-share_V2

description: This is the dataset in the excel format of a cross-sectional study that included 64 graduate students who used a smartphone from the University of Phayao. They were randomly selected from strata based on city, age, and gender. Adolescents aged 18 to 22 were eligible for this study if they could converse adequately and had used smartphones for social media every day for at least a year before participation.
DOI: 10.34740/kaggle/dsv/4671320
title: The vertebrae X-ray images
DOI: 10.6084/m9.figshare.21680681
title: Supplementary files for "Interventions for supporting self-management in people with musculoskeletal pain, including focus on varying levels of health literacy: A systematic overview of reviews"

description: Supplementary files: Search Strategy List of Excluded studies.csv PRISMA checklist
DOI: 10.6084/m9.figshare.21680681.v2
title: Supplementary files for "Interventions for supporting self-management in people with musculoskeletal pain, including focus on varying levels of health literacy: A systematic overview of reviews"

description: Supplementary files: Search Strategy List of Excluded studies.csv PRISMA checklist
DOI: 10.6084/m9.figshare.21680681.v1
title: Interventions for supporting self-management in people with musculoskeletal pain, including focus on varying levels of health literacy: A systematic overview of reviews

description: Supplementary files: Search Strategy List of Excluded studies.csv PRISMA checklist
DOI: 10.5281/zenodo.7405778
title: erythrotriorchis_buergersi_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7405777
title: erythrotriorchis_buergersi_decontaminated_gx.fasta.gz

description: .
DOI: 10.3886/e130822
title: Data and Code for: Living and Dying in America: An Essay on Deaths of Despair and the Future of Capitalism

description: This essay reviews Deaths of Despair and the Future of Capitalism (DEATHS), by Anne Case and Angus Deaton, a fascinating account of life and death in the United States during the late 20th and early 21st centuries. While primarily targeted towards a popular audience, the volume will be of interest to many economists and other social scientists. It postulates how American capitalism run amok, combined with and partly causing the declining economic and social circumstances of less educated, has led to increased mortality from drugs, suicide, and chronic liver disease. After describing the material in DEATHS in considerable detail, I suggest a variety of research questions that need to be answered to confirm or refute Case and Deaton’s arguments and describe challenges to their key hypotheses. Among the latter are the ability of the postulated relationships to explain the sharply differing mortality trajectories of non-Hispanic whites, compared with other groups, and the timing of the observed mortality changes. Along the way, I raise doubts about the usefulness of the “deaths of despair” conceptualization, with its strong implications about causality.
description: All deaths to US residents during the specified time periods.
description: This project uses three sources of public use data: information from death certificates on the Multiple Cause of Death files, produced by the Centers for Disease Control and Prevention, population data from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) program and bridged-race population estimates also made available from the Centers for Disease Control and Prevention.<br>
DOI: 10.3886/e130822v1
title: Data and Code for: Living and Dying in America: An Essay on Deaths of Despair and the Future of Capitalism

description: This essay reviews Deaths of Despair and the Future of Capitalism (DEATHS), by Anne Case and Angus Deaton, a fascinating account of life and death in the United States during the late 20th and early 21st centuries. While primarily targeted towards a popular audience, the volume will be of interest to many economists and other social scientists. It postulates how American capitalism run amok, combined with and partly causing the declining economic and social circumstances of less educated, has led to increased mortality from drugs, suicide, and chronic liver disease. After describing the material in DEATHS in considerable detail, I suggest a variety of research questions that need to be answered to confirm or refute Case and Deaton’s arguments and describe challenges to their key hypotheses. Among the latter are the ability of the postulated relationships to explain the sharply differing mortality trajectories of non-Hispanic whites, compared with other groups, and the timing of the observed mortality changes. Along the way, I raise doubts about the usefulness of the “deaths of despair” conceptualization, with its strong implications about causality.
description: All deaths to US residents during the specified time periods.
description: This project uses three sources of public use data: information from death certificates on the Multiple Cause of Death files, produced by the Centers for Disease Control and Prevention, population data from the National Cancer Institute's Surveillance Epidemiology and End Results (SEER) program and bridged-race population estimates also made available from the Centers for Disease Control and Prevention.<br>
DOI: 10.3886/e163601
title: Code for: "Graduate Student Mental Health: Lessons from American Economics Departments"

description: Code that generates tables and figures found in the paper "Graduate Student Mental Health: Lessons from American Economics Departments." Data are confidential. Abstract:<br>We study the mental health of graduate students at 8 top-ranked economics PhD programs in the U.S. using clinically validated surveys. We find that 24.8% experience moderate or severe symptoms of depression or anxiety - more than two times the population average. Though our response rate was 45.1% and sample selection concerns exist, conservative lower bounds nonetheless suggest higher prevalence rates of such symptoms than in the general population. Mental health issues are especially prevalent at the end of the PhD program: 36.7% of students in years 6+ of their program experience moderate or severe symptoms of depression or anxiety, versus 21.2% of first-year students. 25.2% of economics students with these symptoms are in treatment, compared to 41.4% of graduate students in other programs. A similar percentage of economics students (40-50%) say they cannot honestly discuss mental health with advisers as say they cannot easily discuss non-academic career options with them. Only 26% find their work to be useful always or most of the time, compared to 70% of economics faculty and 63% of the working age population. We provide recommendations for students, faculty, and administrators on ways to improve graduate student mental health.
description: Response Rates: 45.1%
description: PhD students enrolled in one of 8 top-ranked economics PhD programs during the 2017-2018 academic year. Programs included:<br>Columbia University, Harvard University, University of Michigan, Massachusetts Institute of Technology (MIT), Princeton University, UC Berkeley, UC San Diego, and Yale University.
description: web-based survey;