cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12045243.v46
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v47
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v48
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v49
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v50
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.13012/b2idb-5961181_v2
title: KEEI Kauffman Entrepreneurship Education Inventory Four Year Colleges 2015

description: This dataset is a snapshot of the presence and structure of entrepreneurship education in U.S. four-year colleges and universities in 2015, including co-curricular activities and related infrastructure. Public, private not-for-profit and for-profit institutions are included, as are specialized four-year institutions. The dataset provides insight into the presence of entrepreneurship education both within business units and in other units of college campuses. Entrepreneurship is defined broadly, to include small business management and related career-focused options.
DOI: 10.25403/upresearchdata.11967918
title: Comparative serum fatty acid profiles of captive and free-ranging cheetahs (Acinonyx jubatus) in Namibia

description: Cheetahs (Acinonyx jubatus) are highly specialised large felids, currently listed as vulnerable on the IUCN red data list. In captivity, they are known to suffer from a range of chronic non-infectious diseases. Although low heterozygosity and the stress of captivity have been suggested as possible causal factors, recent studies have started to focus on the contribution of potential dietary factors in the pathogenesis of these diseases. Fatty acids are an important component of the diet, not only providing a source of metabolisable energy, but serving other important functions in hormone production, cellular signalling as well as providing structural components in biological membranes. To develop a better understanding of lipid metabolism in cheetahs, we compared the total serum fatty acid profiles of 35 captive cheetahs to those of 43 free-ranging individuals in Namibia using gas chromatograph mass spectrometry. The unsaturated fatty acid concentrations differed most remarkably between the groups, with all of the polyunsaturated and monounsaturated fatty acids, except arachidonic acid and hypogeic acid, detected at significantly lower concentrations in the serum of the free-ranging animals. The influence of age and sex on the individual fatty acid concentrations was less notable. This study represents the first evaluation of the serum fatty acids of free-ranging cheetahs, providing critical information on the normal fatty acid profiles of free-living, healthy individuals of this species. The results raise several important questions about the potential impact of dietary fatty acid composition on the health of cheetahs in captivity.<br><br>
DOI: 10.25403/upresearchdata.11967918.v1
title: Comparative serum fatty acid profiles of captive and free-ranging cheetahs (Acinonyx jubatus) in Namibia

description: Cheetahs (Acinonyx jubatus) are highly specialised large felids, currently listed as vulnerable on the IUCN red data list. In captivity, they are known to suffer from a range of chronic non-infectious diseases. Although low heterozygosity and the stress of captivity have been suggested as possible causal factors, recent studies have started to focus on the contribution of potential dietary factors in the pathogenesis of these diseases. Fatty acids are an important component of the diet, not only providing a source of metabolisable energy, but serving other important functions in hormone production, cellular signalling as well as providing structural components in biological membranes. To develop a better understanding of lipid metabolism in cheetahs, we compared the total serum fatty acid profiles of 35 captive cheetahs to those of 43 free-ranging individuals in Namibia using gas chromatograph mass spectrometry. The unsaturated fatty acid concentrations differed most remarkably between the groups, with all of the polyunsaturated and monounsaturated fatty acids, except arachidonic acid and hypogeic acid, detected at significantly lower concentrations in the serum of the free-ranging animals. The influence of age and sex on the individual fatty acid concentrations was less notable. This study represents the first evaluation of the serum fatty acids of free-ranging cheetahs, providing critical information on the normal fatty acid profiles of free-living, healthy individuals of this species. The results raise several important questions about the potential impact of dietary fatty acid composition on the health of cheetahs in captivity.<br><br>
DOI: 10.25403/upresearchdata.11968164
title: Simultaneous stressors : interactive effects of an immune challenge and dietary toxin can be detrimental to honeybees

description: Recent large-scale mortality of honeybee colonies is believed to be caused by multiple interactions between diseases, parasites, pesticide exposure, and other stress factors. To test whether a dual challenge has an additive effect in reducing survival, we experimentally stimulated the immune system of caged Apis mellifera scutellata workers from six colonies by injecting saline or Escherichia coli lipopolysaccharides (LPS), and additionally fed them the alkaloid nicotine (0 µM, 3 µM and 300 µM in 0.63 M sucrose). Workers did not increase their sucrose intake to compensate for the immune system activation, and those injected with E. coli LPS decreased their intake on the highest nicotine concentration. In the single challenges, injection and high nicotine doses negatively affected survival. All injected worker groups showed reduced survival. Without nicotine, survival of the saline and E. coli LPS worker groups was similar, but survival of E. coli LPS-challenged workers dropped below that of the saline groups when additionally challenged by nicotine, with bees dying earlier at higher nicotine concentrations. In the dual challenge of saline injection and dietary nicotine, a reduced effect on survival was observed, with lower mortality than expected from the summed mortalities due to the single challenges. However, additive and synergistic effects on survival were observed in workers simultaneously challenged by E. coli LPS and nicotine, indicating that interactive effects of simultaneous pathogen exposure and dietary toxin are detrimental to honeybee fitness.<br><br>
DOI: 10.25403/upresearchdata.11968164.v1
title: Simultaneous stressors : interactive effects of an immune challenge and dietary toxin can be detrimental to honeybees

description: Recent large-scale mortality of honeybee colonies is believed to be caused by multiple interactions between diseases, parasites, pesticide exposure, and other stress factors. To test whether a dual challenge has an additive effect in reducing survival, we experimentally stimulated the immune system of caged Apis mellifera scutellata workers from six colonies by injecting saline or Escherichia coli lipopolysaccharides (LPS), and additionally fed them the alkaloid nicotine (0 µM, 3 µM and 300 µM in 0.63 M sucrose). Workers did not increase their sucrose intake to compensate for the immune system activation, and those injected with E. coli LPS decreased their intake on the highest nicotine concentration. In the single challenges, injection and high nicotine doses negatively affected survival. All injected worker groups showed reduced survival. Without nicotine, survival of the saline and E. coli LPS worker groups was similar, but survival of E. coli LPS-challenged workers dropped below that of the saline groups when additionally challenged by nicotine, with bees dying earlier at higher nicotine concentrations. In the dual challenge of saline injection and dietary nicotine, a reduced effect on survival was observed, with lower mortality than expected from the summed mortalities due to the single challenges. However, additive and synergistic effects on survival were observed in workers simultaneously challenged by E. coli LPS and nicotine, indicating that interactive effects of simultaneous pathogen exposure and dietary toxin are detrimental to honeybee fitness.<br><br>
DOI: 10.25405/data.ncl.12349352
title: Data sets for Whitfield et al 2020 Chemical Communications

description: Data related figures presented within to the publication:<br><br>Cell-free protein synthesis in hydrogel materials<br><br>Colette J. Whitfield, Alice M. Banks, Gema Dura, John Love, Jonathan E. Fieldsend, Sarah A. Goodchild, David A. Fulton and Thomas P. Howard*<br><br>Chemical Communications, 2020, Royal Society of Chemistry<br><br>The research details the fabrication of macro-scale polysaccharide, proteinaceous, micellular and covalently crosslinked hydrogels for housing cell- free protein synthesis reactions.<br><br>The data set covers data used in Figures 1a and c, Figure 3 and supporting figures S1, S2 and S5.<br>
DOI: 10.6084/m9.figshare.12045243.v51
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v52
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v53
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v54
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v55
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12045243.v56
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.5061/dryad.gxd2547hk
title: Impacts of invasive Australian acacias on soil bacterial community composition, microbial enzymatic activities, and nutrient availability in fynbos soils

description: Invasive nitrogen-fixing plants often impact the soils they invade, notably through changes in soil chemistry and microbial community composition, which in turn could lead to alterations in soil functionality. We aimed to determine the impacts that invasive Australian Acacia trees have on soil chemistry and function (carbon, nitrogen, and phosphorus cycling) in South Africa’s Core Cape Subregion, and whether any differences in soil function are linked to differences in soil chemical properties and bacterial community composition between neighbouring acacia-invaded and uninvaded sites. We do so by using Next Generation Sequencing (NGS) methods together with soil chemistry and soil enzyme functioning profiles. Acacias significantly increased levels of soil nitrogenous compounds (NO3-, NH4+, and total N), C, and pH. Acacias also significantly elevated microbial phosphatase activity, but not β-glucosidase, while having contrasting effects on urease. Acacia-induced changes in soil chemical properties were correlated with changes in enzyme activities for both urease and phosphatase. Changes in soil bacterial community composition due to the presence of invasive acacias were also correlated with phosphatase enzymatic activity. While we found evidence for acacias altering soil function by changing soil chemical properties and bacterial community composition, the legume-soil feedbacks underlying these impacts appear to be context specific.
DOI: 10.13012/b2idb-4821336_v1
title: Original data for "Light, Not Age, Underlies the Q9 Maladaptation of Maize and Miscanthus Photosynthesis to Self-Shading"

description: Original leaf gas exchange and absorptance data used in the Collison et al. (2020) Light, Not Age, Underlies the Q9 Maladaptation of Maize and Miscanthus Photosynthesis to Self-Shading - Frontiers in Plant Science doi: 10.3389/fpls.2020.00783
DOI: 10.13012/b2idb-9059263_v1
title: Simulated multi-sample tumor bulk sequencing data

description: This repository includes a simulated dataset and related scripts used for the paper "Moss: Accurate Single-Nucleotide Variant Calling from Multiple Bulk DNA Tumor Samples".
DOI: 10.25386/genetics.12339332
title: Supplemental Material for Reding and Pick, 2020

description: File S1. Sequence alignment used for phylogenetic analysis.File S2. Newick-formatted text file for phylogenetic<i> </i>tree estimation.File S3. STL file for bottom part of agar mold.File S4. STL file for top part of agar mold.
DOI: 10.25386/genetics.12339332.v1
title: Supplemental Material for Reding and Pick, 2020

description: File S1. Sequence alignment used for phylogenetic analysis.File S2. Newick-formatted text file for phylogenetic<i> </i>tree estimation.File S3. STL file for bottom part of agar mold.File S4. STL file for top part of agar mold.
DOI: 10.6084/m9.figshare.12045243.v57
title: Data on the COVID-19 outbreak in Romania

description: This dataset includes various metrics on the COVID-2019 outbreak in Romania. For a full description see the GitHub project at https://github.com/adrianp/covid19romania.<br>Main data source is the press office of the Ministry of Internal Affairs, which currently provides a daily report on most metrics. Data points are also sourced from the Romanian Ministry of Health and the Romanian National Institute of Public Health and occasionally from news outlets. The purpose is to provide a historic overview of the various figures in a machine readable format, and not live information on the pandemic.<br>A visualisation is provided, only for demonstration purposes, at https://covid19ro.com.<br>Data is updated daily; please use GitHub issues to report any problems or suggest improvements.
DOI: 10.6084/m9.figshare.12413471
title: Place Name in GML Zip

description: Convert CSV to GML via MyGeodata Converter (https://mygeodata.cloud/).
DOI: 10.6084/m9.figshare.12413471.v1
title: Place Name in GML Zip

description: Convert CSV to GML via MyGeodata Converter (https://mygeodata.cloud/).
DOI: 10.13012/b2idb-9371397_v1
title: Dataset for "Body mass and cardiorespiratory fitness are associated with altered brain metabolism"

description: Baseline data from a multi-modal intervention study conducted at the University of Illinois at Urbana-Champaign. Data include results from a cardiorespiratory fitness assessment (maximal oxygen consumption, VO2max), a body composition assessment (Dual-Energy X-ray Absorptiometry, DXA), and Magnetic Resonance Spectroscopy Imaging. Data set includes data from 435 participants, ages 18-44 years.
DOI: 10.5061/dryad.2589rn16/1
title: Microsatelite genotypes
DOI: 10.5061/dryad.3b2q4g1m/1
title: Cyprinella hybrid zone data

description: File includes raw morphology, mtDNA and microsatellite data. Locality and collection site information is also included.
DOI: 10.5061/dryad.4p49n3mj/1
title: Data for Datadryad
DOI: 10.5061/dryad.4rp76r87/1
title: Kronholm_data
DOI: 10.5061/dryad.6b678210/1
title: Forested landscape - conductance grid

description: Ascii file representing costs to movement for the forested landscape. Values are conductances, where high values represent low cost (high conductance). In Canada Lambert Conformal Conic projection.
DOI: 10.5061/dryad.6b678210/2
title: Settled landscape - conductance grid

description: Ascii file representing costs to movement for the settled landscape. Values are conductances, where high values represent low cost (high conductance). In Canada Lambert Conformal Conic projection.
DOI: 10.5061/dryad.f0b2f083/4
title: Source code for Bayesian F-model

description: This compressed directory contains the source code for the Bayesian F-model described in the publication. Please contact the Zach Gompert (zgompert@uwyo.edu) to inquire about updates to the software, usage, and whether a manual or example files exist.