cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6849068.v1
title: Selectivity model data

description: (i) Raw cell growth measurements for drug interaction assays of 76 pairwise combinations in C. albicans and 8 pairwise combinations in S. cerevisiae. Each file contains a 64 column matrix of numbers, which corresponds to OD595 readings for one drug‐drug interaction. Rows correspond to different time points with 15 minutes intervals. Columns correspond to the 8 x 8 matrix of drug concentration combinations. (ii) dose-response measurements for 12 drugs in C. albicans and S. cerevisiae.
DOI: 10.6084/m9.figshare.6849050.v1
title: data sheet 1.pdf

description: Kinetic model of inflammation (acute and chronic)<br>Initial data set<br>Network species<br><br>
DOI: 10.6084/m9.figshare.6849011
title: Blasi et al., Comm. Biol. 2018_Data.pzfx

description: Data from Blasi et al., Communications biology, 2018.
DOI: 10.6084/m9.figshare.6849011.v1
title: Blasi et al., Comm. Biol. 2018_Data.pzfx

description: Data from Blasi et al., Communications biology, 2018.
DOI: 10.6084/m9.figshare.6848984
title: Opportunity or threat? Public attitudes towards EU freedom of movement

description: This article examines the effect of individual and contextual variables on preference formation towards European Union (EU) freedom of movement. Our multilevel analyses of Eurobarometer data show that citizens with low levels of human capital and strong feelings of national identity are more likely to oppose intra-EU migration. However, we argue that in order to fully grasp variation in public preferences, we need to consider the domestic context. Utilitarian and affective theories have more explanatory power in richer countries, but in less affluent member states support for free movement is evenly high irrespective of individual dispositions. Our findings have implications for the progress of European integration, especially at a time when the EU is in the process of deciding on a course of action about its future direction.
DOI: 10.6084/m9.figshare.6848966
title: Campylobacter, a zoonotic pathogen of global importance: prevalence and risk factors in the fast-evolving chicken meat system of Nairobi, Kenya - Risk factor analysis dataset

description: Selected variables from questionnaire survey data to evaluate risk factors for Campylobacter spp. exposure in small-scale chicken farms and small-scale chicken retailers in Nairobi, Kenya.<br>A two-step statistical analysis using univariable logistic regression followed by multivariable logistic regression was performed using these variables to identify risk factors for the presence of Campylobacter spp. at farm, or retailer level, respectively.
DOI: 10.6084/m9.figshare.6848957
title: A minimum information standard for reproducing bench-scale cell growth and productivity

description: These are supplementary data files to accompany the publication, "A minimum information standard for reproducing bench-scale cell growth and productivity," in Communications biology, 2018.
DOI: 10.6084/m9.figshare.6848954
title: Campylobacter, a zoonotic pathogen of global importance: prevalence and risk factors in the fast-evolving chicken meat system of Nairobi, Kenya - Prevalence study dataset

description: Campylobacter culture results for samples collected from small-scale chicken (broiler and indigenous chickens) farms (i.e. faeces samples) and from small-scale chicken meat retailers (i.e. fresh or defrosted chicken meat) in Nairobi, Kenya. Chicken faeces were collected using one pair of boot socks per farm; 3 raw chicken meat samples were purchased per retailer. Samples were cultured for viable Campylobacter spp. using mCCDA, followed by blood agar plates in aerobic/microaerobic conditions for prevalence calculations.Using a chicken farm or retailer as a sampling unit, a site with one or more positive samples on culture classified as positive for Campylobacter spp. A sample was considered positive if at least one isolate was obtained and comfirmed by culture. <br>Ethical approvals from ILRI and RVC :I LRI-IREC2016-01,URN 2015 1453.
DOI: 10.6084/m9.figshare.6848954.v1
title: Campylobacter, a zoonotic pathogen of global importance: prevalence and risk factors in the fast-evolving chicken meat system of Nairobi, Kenya - Prevalence study dataset

description: Campylobacter culture results for samples collected from small-scale chicken (broiler and indigenous chickens) farms (i.e. faeces samples) and from small-scale chicken meat retailers (i.e. fresh or defrosted chicken meat) in Nairobi, Kenya. Chicken faeces were collected using one pair of boot socks per farm; 3 raw chicken meat samples were purchased per retailer. Samples were cultured for viable Campylobacter spp. using mCCDA, followed by blood agar plates in aerobic/microaerobic conditions for prevalence calculations.Using a chicken farm or retailer as a sampling unit, a site with one or more positive samples on culture classified as positive for Campylobacter spp. A sample was considered positive if at least one isolate was obtained and comfirmed by culture. <br>Ethical approvals from ILRI and RVC :I LRI-IREC2016-01,URN 2015 1453.
DOI: 10.6084/m9.figshare.6848918
title: GSM Farmers

description: Survey data from farmers with GSM phones
DOI: 10.6084/m9.figshare.6848915
title: Smartphone Farmers Survey Data

description: Survey data collected from Smartphone farmers.
DOI: 10.6084/m9.figshare.6848918.v1
title: GSM Farmers

description: Survey data from farmers with GSM phones
DOI: 10.6084/m9.figshare.6848915.v1
title: Smartphone Farmers Survey Data

description: Survey data collected from Smartphone farmers.
DOI: 10.6084/m9.figshare.6848858
title: Temporal stability of attention capture effects: Code

description: Code to analyse the data from two Experiments on the temporal stability (reliability) of attention capture effects. The data can be found here: https://doi.org/10.6084/m9.figshare.5886580.v1<br>
DOI: 10.6084/m9.figshare.6848753
title: Google Play search results.xlsx

description: This data set provides the app titles retrieved from Google Play as part of our systematic search of the Google Play store, within our mobile app study.
DOI: 10.6084/m9.figshare.6848753.v1
title: Google Play search results.xlsx

description: This data set provides the app titles retrieved from Google Play as part of our systematic search of the Google Play store, within our mobile app study.
DOI: 10.6084/m9.figshare.6848750
title: Apple iTunes search results.xlsx

description: This data set provides the app titles retrieved from Apple iTunes as part of our systematic search of the Apple iTunes store, within our mobile app study.
DOI: 10.6084/m9.figshare.6848858.v2
title: Temporal stability of attention capture effects: Code

description: Code to analyse the data from two Experiments on the temporal stability (reliability) of attention capture effects. The data can be found here: https://doi.org/10.6084/m9.figshare.5886580.v1<br>
DOI: 10.6084/m9.figshare.6848858.v1
title: Temporal stability of attention capture effects: Code

description: Code to analyse the data from two Experiments on the temporal stability (reliability) of attention capture effects. The data can be found here: https://doi.org/10.6084/m9.figshare.5886580.v1<br>
DOI: 10.6084/m9.figshare.6848747
title: Marketing descriptions for appraisal_Jan 17.xlsx

description: This data set provides the marketing descriptions for the apps reviewed as part of our mobile app study. The marketing descriptions are for the apps from Google Play and Apple iTunes.
DOI: 10.6084/m9.figshare.6848738
title: tcs-arc-dataset

description: The dataset consists of training, validation and test set for the objects listed in Amazon robotics challenge-2017. This data collection is a supplement to the paper: '<b>A deep framework for automatic annotation with application to retail warehouses</b>'. Training and validation sets consist of artificially generated cluttered images, their annotated masks and the original cluttered images for testing purpose in test set folder.<br><br>
DOI: 10.6084/m9.figshare.6848747.v1
title: Marketing descriptions for appraisal_Jan 17.xlsx

description: This data set provides the marketing descriptions for the apps reviewed as part of our mobile app study. The marketing descriptions are for the apps from Google Play and Apple iTunes.
DOI: 10.6084/m9.figshare.6848693
title: Additional file 2: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S2. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (76-150) of IPA analyses in hepatitis C patients. (XLS 68 kb)
DOI: 10.6084/m9.figshare.6848696
title: Additional file 3: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S3. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (151-220) of IPA analyses in hepatitis C patients. (XLS 67 kb)
DOI: 10.6084/m9.figshare.6848693.v1
title: Additional file 2: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S2. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (76-150) of IPA analyses in hepatitis C patients. (XLS 68 kb)
DOI: 10.6084/m9.figshare.6848690
title: Additional file 1: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S1. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (1-75) of IPA analyses in hepatitis C patients. (XLS 68 kb)
DOI: 10.6084/m9.figshare.6848696.v1
title: Additional file 3: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S3. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (151-220) of IPA analyses in hepatitis C patients. (XLS 67 kb)
DOI: 10.6084/m9.figshare.6848690.v1
title: Additional file 1: of Î´-Tocotrienol feeding modulates gene expression of EIF2, mTOR, protein ubiquitination through multiple-signaling pathways in chronic hepatitis C patients

description: Table S1. Effect of d-tocotrienol on down-regulation of gene expression of "Molecules" (1-75) of IPA analyses in hepatitis C patients. (XLS 68 kb)
DOI: 10.21227/67h5-b030
title: spectral data

description: Spectral data for the manuscript "Predictability of vibration loads from experimental data by means of reduced vehicle models and machine learning"
DOI: 10.21227/4s0y-yp14
title: spectral data

description: Spectral data for the manuscript "Predictability of vibration loads from experimental data by means of reduced vehicle models and machine learning"
DOI: 10.6084/m9.figshare.6848519
title: A users’ perspective on climate model data challenges - full survey responses

description: Survey assessing users' experience performing research with data generated by Phase 5 of the Coupled Model Intercomparison Project (CMIP5). These users belong to increasingly diverse communities of scientists that, thanks to CMIP, have access to output from coordinated climate simulations allowing them to explore questions regarding climate variability and change in a systematic fashion. We designed the survey with the objective of identifying: 1) issues hindering productivity and research scope and 2) the best infrastructure solutions that could increase users' productivity. The survey was distributed among CMIP users from July 2015 to January 2016. This file includes 261 complete anonymized replies to the survey. Column descriptions are provided in the commented (#) lines at the top of the file. Full details provided in the survey report.
DOI: 10.6084/m9.figshare.6848519.v1
title: A users’ perspective on climate model data challenges - full survey responses

description: Survey assessing users' experience performing research with data generated by Phase 5 of the Coupled Model Intercomparison Project (CMIP5). These users belong to increasingly diverse communities of scientists that, thanks to CMIP, have access to output from coordinated climate simulations allowing them to explore questions regarding climate variability and change in a systematic fashion. We designed the survey with the objective of identifying: 1) issues hindering productivity and research scope and 2) the best infrastructure solutions that could increase users' productivity. The survey was distributed among CMIP users from July 2015 to January 2016. This file includes 261 complete anonymized replies to the survey. Column descriptions are provided in the commented (#) lines at the top of the file. Full details provided in the survey report.
DOI: 10.6084/m9.figshare.6848513
title: Data and Scripts for Z. tritici population genomics

description: Supplementary data and scripts for generating the figures and statistical test in Grandaubert et al. (2019) Evol Letters.<br>Check https://gitlab.gwdg.de/molsysevol/ztpopgen for updates and history of changes.
DOI: 10.6084/m9.figshare.6848513.v1
title: Data and Scripts for Z. tritici population genomics

description: Supplementary data and scripts for generating the figures and statistical test in Grandaubert et al. (2019) Evol Letters.
DOI: 10.6084/m9.figshare.6848489
title: COMMSBIO-18-0374B Fig. 7 WT, slo-2(nj131gf)

description: COMMSBIO-18-0374B Fig. 7 WT slo-2(nj131gf)
DOI: 10.6084/m9.figshare.6848513.v2
title: Data and Scripts for Z. tritici population genomics

description: Supplementary data and scripts for generating the figures and statistical test in Grandaubert et al. (2019) Evol Letters.<br>Check https://gitlab.gwdg.de/molsysevol/ztpopgen for updates and history of changes.
DOI: 10.6084/m9.figshare.6848489.v1
title: COMMSBIO-18-0374B Fig. 7 WT, slo-2(nj131gf)

description: COMMSBIO-18-0374B Fig. 7 WT slo-2(nj131gf)
DOI: 10.6084/m9.figshare.6848453
title: Advanced machine learning techniques for building performance simulation: a comparative analysis

description: Energy consumption predictions for buildings play an important role in energy efficiency and sustainability research. Accurate energy predictions have numerous application in real-time performance monitoring, fault detection, identifying prime targets for energy conservation, quantifying savings resulting from energy efficiency projects, etc. Machine learning-based energy models have proved to be more efficient and accurate where historical time series data is available. This paper presents various machine learning concepts that will aid in the generation of more accurate and efficient energy models. We have shown in detail the development of energy models using extreme gradient boosting (XGBoost), artificial neural network (ANN), and degree-day-based ordinary least square regression. We have presented a thorough description of the workflow, including intermediate steps for feature engineering, feature selection, hyper-parameter optimization and the Python source code. Our results indicate that XGBoost produces highly accurate energy models, and the intermediate steps are particularly important for XGBoost and ANN model development.
DOI: 10.6084/m9.figshare.6848453.v1
title: Advanced machine learning techniques for building performance simulation: a comparative analysis

description: Energy consumption predictions for buildings play an important role in energy efficiency and sustainability research. Accurate energy predictions have numerous application in real-time performance monitoring, fault detection, identifying prime targets for energy conservation, quantifying savings resulting from energy efficiency projects, etc. Machine learning-based energy models have proved to be more efficient and accurate where historical time series data is available. This paper presents various machine learning concepts that will aid in the generation of more accurate and efficient energy models. We have shown in detail the development of energy models using extreme gradient boosting (XGBoost), artificial neural network (ANN), and degree-day-based ordinary least square regression. We have presented a thorough description of the workflow, including intermediate steps for feature engineering, feature selection, hyper-parameter optimization and the Python source code. Our results indicate that XGBoost produces highly accurate energy models, and the intermediate steps are particularly important for XGBoost and ANN model development.
DOI: 10.6084/m9.figshare.6848378
title: Data of Fig. 1 from The shark–tuna dichotomy: why tuna lay tiny eggs but sharks produce large offspring

description: Offspring and adult wet weights of chondrichthyes and teleosts
DOI: 10.6084/m9.figshare.6848381
title: RSOS ESM Raman.zip from Characterization of biocarbon generated by high- and low-temperature pyrolysis of soy hulls and coffee chaff: for polymer composite applications

description: The physical properties of biocarbon vary widely with the biomass used, and the temperature and duration of pyrolysis. This study identifies the effects of feedstock characteristics and pyrolysis conditions on the production of biocarbon and the corresponding properties for industrial applications. For coffee chaff and soy hulls, ash content and carbon content increased with pyrolysis temperature and duration. Ash content increased thermal conductivity and specific heat, and decreased electrical conductivity. Change in surface area with pyrolysis conditions was dependent on type of feedstock. Increased surface area corresponded with increased thermal and electrical conductivity. Increased carbon content corresponded with increased graphitization and thermal stability and decreased surface functionality. Properties of soy hull biocarbons were found to be similar to the properties of other biocarbons with industrial applications such as incorporation into polymer composites.
DOI: 10.6084/m9.figshare.6848378.v1
title: Data of Fig. 1 from The shark–tuna dichotomy: why tuna lay tiny eggs but sharks produce large offspring

description: Offspring and adult wet weights of chondrichthyes and teleosts
DOI: 10.6084/m9.figshare.6848381.v1
title: RSOS ESM Raman.zip from Characterization of biocarbon generated by high- and low-temperature pyrolysis of soy hulls and coffee chaff: for polymer composite applications

description: The physical properties of biocarbon vary widely with the biomass used, and the temperature and duration of pyrolysis. This study identifies the effects of feedstock characteristics and pyrolysis conditions on the production of biocarbon and the corresponding properties for industrial applications. For coffee chaff and soy hulls, ash content and carbon content increased with pyrolysis temperature and duration. Ash content increased thermal conductivity and specific heat, and decreased electrical conductivity. Change in surface area with pyrolysis conditions was dependent on type of feedstock. Increased surface area corresponded with increased thermal and electrical conductivity. Increased carbon content corresponded with increased graphitization and thermal stability and decreased surface functionality. Properties of soy hull biocarbons were found to be similar to the properties of other biocarbons with industrial applications such as incorporation into polymer composites.
DOI: 10.6084/m9.figshare.6848375
title: RSOS ESM.zip from Characterization of biocarbon generated by high- and low-temperature pyrolysis of soy hulls and coffee chaff: for polymer composite applications

description: The physical properties of biocarbon vary widely with the biomass used, and the temperature and duration of pyrolysis. This study identifies the effects of feedstock characteristics and pyrolysis conditions on the production of biocarbon and the corresponding properties for industrial applications. For coffee chaff and soy hulls, ash content and carbon content increased with pyrolysis temperature and duration. Ash content increased thermal conductivity and specific heat, and decreased electrical conductivity. Change in surface area with pyrolysis conditions was dependent on type of feedstock. Increased surface area corresponded with increased thermal and electrical conductivity. Increased carbon content corresponded with increased graphitization and thermal stability and decreased surface functionality. Properties of soy hull biocarbons were found to be similar to the properties of other biocarbons with industrial applications such as incorporation into polymer composites.
DOI: 10.6084/m9.figshare.6848375.v1
title: RSOS ESM.zip from Characterization of biocarbon generated by high- and low-temperature pyrolysis of soy hulls and coffee chaff: for polymer composite applications

description: The physical properties of biocarbon vary widely with the biomass used, and the temperature and duration of pyrolysis. This study identifies the effects of feedstock characteristics and pyrolysis conditions on the production of biocarbon and the corresponding properties for industrial applications. For coffee chaff and soy hulls, ash content and carbon content increased with pyrolysis temperature and duration. Ash content increased thermal conductivity and specific heat, and decreased electrical conductivity. Change in surface area with pyrolysis conditions was dependent on type of feedstock. Increased surface area corresponded with increased thermal and electrical conductivity. Increased carbon content corresponded with increased graphitization and thermal stability and decreased surface functionality. Properties of soy hull biocarbons were found to be similar to the properties of other biocarbons with industrial applications such as incorporation into polymer composites.
DOI: 10.6084/m9.figshare.6848342
title: Influence of long-term feeding of high-fat diet on quercetin and fat absorption from the small intestine in lymph duct-cannulated rats

description: This study aimed to investigate the effect of dietary lipids and a long-term high-fat diet on lymphatic triglyceride and quercetin absorption in rats with a surgically implanted thoracic lymph cannula. Quercetin-3-O-β-glucoside reduced the lymphatic triglyceride output from the intestines; this reduction was prominent among rats fed a high-fat diet.
DOI: 10.6084/m9.figshare.6848342.v1
title: Influence of long-term feeding of high-fat diet on quercetin and fat absorption from the small intestine in lymph duct-cannulated rats

description: This study aimed to investigate the effect of dietary lipids and a long-term high-fat diet on lymphatic triglyceride and quercetin absorption in rats with a surgically implanted thoracic lymph cannula. Quercetin-3-O-β-glucoside reduced the lymphatic triglyceride output from the intestines; this reduction was prominent among rats fed a high-fat diet.
DOI: 10.6084/m9.figshare.6848324
title: Data on the effects of wild herbivores on termite mound selection by cattle in an African savanna ecosystem

description: Data were collected to test the effects of shared grazing with wildlife on cattle use and selection of termite mound patches at Mpala Research Centre in Laikipia County, Kenya. These findings are published in an article entitled <b>Cattle select African savanna termite mound patches less when sharing habitat with wild herbivores </b> in<b> </b>Ecology and Evolution
DOI: 10.6084/m9.figshare.6848324.v1
title: Data on the effects of wild herbivores on termite mound selection by cattle in an African savanna ecosystem

description: Data were collected to test the effects of shared grazing with wildlife on cattle use and selection of termite mound patches at Mpala Research Centre in Laikipia County, Kenya. These findings are published in an article entitled <b>Cattle select African savanna termite mound patches less when sharing habitat with wild herbivores </b> in<b> </b>Ecology and Evolution
DOI: 10.6084/m9.figshare.6848183
title: Little Moose Lake Water Chemistry data

description: Contains long-term data for select water chemistry parameters from Little Moose Lake (New York, USA)