cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12800456
title: Supplementary Material for: Use of a Supportive Kidney Care Video Decision Aid in Older Patients: A Randomized Controlled Trial

description: <b><i>Background:</i></b> There are few studies of patient-facing decision aids that include supportive kidney care as an option. We tested the efficacy of a video decision aid on knowledge of supportive kidney care among older patients with advanced CKD. <b><i>Methods:</i></b> Participants (age ≥ 65 years with advanced CKD) were randomized to receive verbal or video education. Primary outcome was knowledge of supportive kidney care (score range 0–3). Secondary outcomes included preference for supportive kidney care, and satisfaction and acceptability of the video. <b><i>Results:</i></b> Among all participants (<i>n</i> = 100), knowledge of supportive kidney care increased significantly after receiving education (<i>p</i> &lt; 0.01); however, there was no difference between study arms (<i>p</i> = 0.68). There was no difference in preference for supportive kidney care between study arms (<i>p</i> = 0.49). In adjusted analyses, total health literacy score (aOR 1.08 [95% CI: 1.003–1.165]) and nephrologists’ answer of “No” to the Surprise Question (aOR 4.87 [95% CI: 1.22–19.43]) were associated with preference for supportive kidney care. Most felt comfortable watching the video (96%), felt the content was helpful (96%), and would recommend the video to others (96%). <b><i>Conclusions:</i></b> Among older patients with advanced CKD, we did not detect a significant difference between an educational verbal script and a video decision aid in improving knowledge of supportive kidney care or preferences. However, patients who received video education reported high satisfaction and acceptability ratings. Future research will determine the effectiveness of a supportive kidney care video decision aid on real-world patient outcomes. <b><i>Trial Registration:</i></b> NCT02698722 (ClinicalTrials.gov).
DOI: 10.6084/m9.figshare.12800447
title: Supplementary Material for: Investigation of the Causal Association between Long-Chain n-6 Polyunsaturated Fatty Acid Synthesis and the Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

description: <b><i>Background:</i></b> Globally, 1 in 11 adults has diabetes mellitus, and most of these cases are type 2 diabetes (T2D). The risk of T2D is influenced by many factors, including diet. The synthesis of long-chain n-6 polyunsaturated fatty acids (LC n-6 PUFA) has been posited as a risk factor for T2D; however, its causal role is uncertain. <b><i>Aim:</i></b> To test the causal effect of LC n-6 PUFA synthesis on insulin resistance and transgenerational T2D risk in a large cohort of men and women. <b><i>Methods:</i></b> Two-sample mendelian randomization (MR) was conducted to evaluate the effect of low or high levels of LC n-6 PUFA synthesis on glycemia and development of T2D in the UK Biobank (<i>n</i> = 463,010) and Meta-Analysis of Glucose- and Insulin-Related Traits Consortium (MAGIC; <i>n</i> = 5,130) cohorts. The increased likelihood of a predisposition to low or high LC n-6 PUFA synthesis and the risk of T2D was also investigated using the participants’ siblings and parents. In MR-Base, 4 genetic variants associated with LC n-6 PUFA synthesis were found (<i>p</i> &lt; 10<sup>–8</sup>). After pruning, 1 variant (rs174547) on the FADS1 gene was retained. <b><i>Results:</i></b> Lower LC n-6 PUFA synthesis and abundance (per % unit decrease) are associated with small reductions in the insulin disposition index (–0.038 ± 0.012 mM<sup>–1</sup>; <i>p</i> = 0.002) within MAGIC. In the UK Biobank, we report negligible effects of low n-6 PUFA synthesis on the odds of T2D (OR &lt;1%; <i>p</i> &lt; 0.05). Additionally, reduced LC n-6 PUFA synthesis does not appear to be a contributor to familial T2D risk. No significant association was observed between LC n-6 PUFA synthesis and BMI. <b><i>Conclusion:</i></b> In a primarily white European population, LC n-6 PUFA synthesis is not a major contributor to T2D risk.
DOI: 10.6084/m9.figshare.12800241
title: Playback data from Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar

description: Original data showing the number of calls produced by each insect in playback treatments
DOI: 10.6084/m9.figshare.12800244
title: Neurophysiology Data from Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar

description: Original data on neural responses to acoustic playbacks
DOI: 10.6084/m9.figshare.12800238
title: 24 Hour Calling Data from Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar

description: Original data providing timestamps for acoustic events produced by individual insects
DOI: 10.6084/m9.figshare.12800244.v1
title: Neurophysiology Data from Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar

description: Original data on neural responses to acoustic playbacks
DOI: 10.6084/m9.figshare.12800210
title: Supplementary Materials

description: Details about the clinical features of the whole women enrolled are showed in Table S1.The ultrasound images we used to assist the diagnosis of CI and uterine measurements are showed in fig1 and 2.
DOI: 10.6084/m9.figshare.12800222
title: Corydalis yanhusuo transcriptome annotation & expression pattern

description: Corydalis yanhusuo transcriptome annotation & expression patterns in leaf (L) and tuber (R) tissues with 3 replicas
DOI: 10.6084/m9.figshare.12800241.v1
title: Playback data from Sheep in wolves’ clothing: prey rely on proactive defences when predator and non-predator cues are similar

description: Original data showing the number of calls produced by each insect in playback treatments
DOI: 10.6084/m9.figshare.12800210.v1
title: Supplementary Materials

description: Details about the clinical features of the whole women enrolled are showed in Table S1.The ultrasound images we used to assist the diagnosis of CI and uterine measurements are showed in fig1 and 2.
DOI: 10.15131/shef.data.12800195
title: Open access and the role of the National Library - initial survey

description: This dataset is the first data collected as part of the wider project 'Open access and the role of the National Library'. Open Access, the sharing of research publications online free of charge, has grown substantially over the last 20 years. There has been substantial research into Open Access but it has largely focused on publishers and universities and not considered wider stakeholders in the scholarly communication ecosystem, such as national libraries.<br>National libraries vary hugely between countries, characterised as much by their differences as their similarities, but a purpose common to most is that of preserving the publications of the nation. This is a task which will undoubtedly be affected by the move to Open Access.<br>This research aims to uncover how national libraries are responding to the growth of Open Access, how and why this varies across countries, and what models national libraries could adopt in the future. In a joint project with the British Library a mixed methods approach is being used to ensure the full depth and breadth of activities and approaches is being captured.<br>This dataset contains the results of an initial survey which was conducted online between July 2019 and January 2020. There were 34 valid responses (32 for questions about Open Access), representing 18.89% of national libraries (based on the Conference of Directors of National Libraries 2017 list). 32 respondents consented to their data being shared and those results are included in this dataset. The survey was distributed via Conference of European National Librarians and Conference of Directors of National Libraries.<br>This dataset includes a readme file with further details of the methodology, the survey questions (in PDF and odt formats), the full de-identified results of those who consented to sharing their data (csv), the free-text answers organised by theme (xlsx and zipped csvs). <br>Ethics application number: 026596<br>Thanks to Laura Sbaffi, Torsten Reimer and Stephen Pinfield for their help in developing this survey.
DOI: 10.15131/shef.data.12800195.v1
title: Open access and the role of the National Library - initial survey

description: This dataset is the first data collected as part of the wider project 'Open access and the role of the National Library'. Open Access, the sharing of research publications online free of charge, has grown substantially over the last 20 years. There has been substantial research into Open Access but it has largely focused on publishers and universities and not considered wider stakeholders in the scholarly communication ecosystem, such as national libraries.<br>National libraries vary hugely between countries, characterised as much by their differences as their similarities, but a purpose common to most is that of preserving the publications of the nation. This is a task which will undoubtedly be affected by the move to Open Access.<br>This research aims to uncover how national libraries are responding to the growth of Open Access, how and why this varies across countries, and what models national libraries could adopt in the future. In a joint project with the British Library a mixed methods approach is being used to ensure the full depth and breadth of activities and approaches is being captured.<br>This dataset contains the results of an initial survey which was conducted online between July 2019 and January 2020. There were 34 valid responses (32 for questions about Open Access), representing 18.89% of national libraries (based on the Conference of Directors of National Libraries 2017 list). 32 respondents consented to their data being shared and those results are included in this dataset. The survey was distributed via Conference of European National Librarians and Conference of Directors of National Libraries.<br>This dataset includes a readme file with further details of the methodology, the survey questions (in PDF and odt formats), the full de-identified results of those who consented to sharing their data (csv), the free-text answers organised by theme (xlsx and zipped csvs). <br>Ethics application number: 026596<br>Thanks to Laura Sbaffi, Torsten Reimer and Stephen Pinfield for their help in developing this survey.
DOI: 10.6084/m9.figshare.12800111
title: Table of included papers in Lantz & Runefors (2020)

description: Table with summary of papers included in the paper.<br>Lantz, E, & Runefors, M. (2020) "<i>Recruitment, Retention and Resignation among Non-Career Firefighters</i>", International Journal of Emergency Services, in press
DOI: 10.6084/m9.figshare.12799985
title: Supplementary Material for: Relative Cerebellum Size Is Not Sexually Dimorphic across Primates

description: <b><i>Background/Aims:</i></b> Substantive sex differences in behavior and cognition are found in humans and other primates. However, potential sex differences in primate neuroanatomy remain largely unexplored. Here, we investigate sex differences in the relative size of the cerebellum, a region that has played a major role in primate brain evolution and that has been associated with cognitive abilities that may be subject to sexual selection in primates. <b><i>Methods:</i></b> We compiled individual volumetric and sex data from published data sources and used MCMC generalized linear mixed models to test for sex effects in relative cerebellar volume while controlling for phylogenetic relationships between species. Given that the cerebellum is a functionally heterogeneous structure involved in multiple complex cognitive processes that may be under selection in males or females within certain species, and that sexual selection pressures vary so greatly across primate species, we predicted there would be no sex difference in the relative size of the cerebellum across primates. <b><i>Results:</i></b> Our results support our prediction, suggesting there is no consistent sex difference in relative cerebellum size. <b><i>Conclusion:</i></b> This work suggests that the potential for sex differences in relative cerebellum size has been subject to either developmental constraint or lack of consistent selection pressures, and highlights the need for more individual-level primate neuroanatomical data to facilitate intra- and inter-specific study of brain sexual dimorphism.
DOI: 10.6084/m9.figshare.12800111.v1
title: Table of included papers in Lantz & Runefors (2020)

description: Table with summary of papers included in the paper.<br>Lantz, E, & Runefors, M. (2020) "<i>Recruitment, Retention and Resignation among Non-Career Firefighters</i>", International Journal of Emergency Services, in press
DOI: 10.6084/m9.figshare.12799949
title: Satellites' orbit and clock

description: satellites' orbit and clock from 16 to 26 August 2017.sp3, and .clk_30s
DOI: 10.6084/m9.figshare.12799958
title: EVA Urban Immune (Special Issue)

description: Data (in xlsx format) used for the analyses reported in the publication.Column (variable) names are self explanatory.
DOI: 10.6084/m9.figshare.12799964
title: ECMWF data

description: Region: 21N 26N, 112E 123ETime: August 2017
DOI: 10.6084/m9.figshare.12799943
title: GPS data

description: Stations: HKKT, HKLT, HKOH, HKSC, HKSS, HKWS, HKNPTime: 16 to 26 August 2017
DOI: 10.6084/m9.figshare.12799958.v1
title: EVA Urban Immune (Special Issue)

description: Data (in xlsx format) used for the analyses reported in the publication.Column (variable) names are self explanatory.
DOI: 10.6084/m9.figshare.12799949.v1
title: Satellites' orbit and clock

description: satellites' orbit and clock from 16 to 26 August 2017.sp3, and .clk_30s
DOI: 10.6084/m9.figshare.12799931
title: Himawari-8 L1 gridded data

description: Time: 04:00 UT on 22 August 2017
DOI: 10.6084/m9.figshare.12799273
title: Additional file 1 of MDM2 inhibition in combination with endocrine therapy and CDK4/6 inhibition for the treatment of ER-positive breast cancer

description: Additional file 1: Table S1. Differential expression analysis of MCF7 cell lines following 48 hours treatment with NVP-CGM097 versus vehicle (0.01% DMSO). Table S2: Differential expression analysis of MCF7 cell lines following 48 hours treatment with Fulvestrant versus vehicle (0.01% DMSO). Table S3. Differential expression analysis of MCF7 cell lines following 48 hours treatment with combination therapy (NVP-CGM097 + fulvestrant) versus vehicle (0.01% DMSO). Table S4. Differential genes induced by combination therapy (NVP-CGM097 + fulvestrant) versus vehicle (0.01% DMSO). Table S5. KEGG PATHWAY enrichment analysis of differentially expressed genes following treatment with combination of NVP-CGM097 and fulvestrant versus vehicle (0.01% DMSO). Table S6. Combination effect quantified for all genes following treatment with NVP-CGM097, fulvestrant and combination across cell lines. Table S7. Differential expression analysis of the PDX breast cancer model treated with NVP-CGM097 versus vehicle. Table S8. Differential expression analysis of the PDX breast cancer model treated with fulvestrant versus vehicle. Table S9. Differential expression analysis of the PDX breast cancer model treated with combination therapy versus vehicle. Table S10. Gene set enrichment analysis of DE genes induced by NVP-CGM097 in MCF-7 cell lines. Table S11. Gene set enrichment analysis of DE genes induced by fulvestrant in MCF-7 cell lines. Table S12. Gene set enrichment analysis of DE genes induced by combination therapy in MCF-7 cell lines. Table S13. Gene set enrichment analysis of DE genes induced by NVP-CGM097 in the PDX treated model. Table S14. Gene set enrichment analysis of DE genes induced by fulvestrant in the PDX treated model. Table S15. Gene set enrichment analysis of DE genes induced by combination therapy in the PDX treated model. Table S16. Combination effect quantified for all genes following treatment with NVP-CGM097, fulvestrant and combination in the PDX model. Table S17. Differential expression analysis of MCF7 cell lines following 48 hours treatment with NVP-CGM097 versus vehicle (0.01% DMSO). Table S18. Differential expression analysis of MCF7 cell lines following 48 hours treatment with palbociclib versus vehicle (0.01% DMSO). Table S19. Differential expression analysis of MCF7 cell lines following 48 hours treatment with combination therapy (NVP-CGM097 + palbociclib) versus vehicle (0.01% DMSO). Table S20. Combination effect quantified for all genes following treatment with NVP-CGM097, palbociclib and combination across cell lines.
DOI: 10.6084/m9.figshare.12799273.v1
title: Additional file 1 of MDM2 inhibition in combination with endocrine therapy and CDK4/6 inhibition for the treatment of ER-positive breast cancer

description: Additional file 1: Table S1. Differential expression analysis of MCF7 cell lines following 48 hours treatment with NVP-CGM097 versus vehicle (0.01% DMSO). Table S2: Differential expression analysis of MCF7 cell lines following 48 hours treatment with Fulvestrant versus vehicle (0.01% DMSO). Table S3. Differential expression analysis of MCF7 cell lines following 48 hours treatment with combination therapy (NVP-CGM097 + fulvestrant) versus vehicle (0.01% DMSO). Table S4. Differential genes induced by combination therapy (NVP-CGM097 + fulvestrant) versus vehicle (0.01% DMSO). Table S5. KEGG PATHWAY enrichment analysis of differentially expressed genes following treatment with combination of NVP-CGM097 and fulvestrant versus vehicle (0.01% DMSO). Table S6. Combination effect quantified for all genes following treatment with NVP-CGM097, fulvestrant and combination across cell lines. Table S7. Differential expression analysis of the PDX breast cancer model treated with NVP-CGM097 versus vehicle. Table S8. Differential expression analysis of the PDX breast cancer model treated with fulvestrant versus vehicle. Table S9. Differential expression analysis of the PDX breast cancer model treated with combination therapy versus vehicle. Table S10. Gene set enrichment analysis of DE genes induced by NVP-CGM097 in MCF-7 cell lines. Table S11. Gene set enrichment analysis of DE genes induced by fulvestrant in MCF-7 cell lines. Table S12. Gene set enrichment analysis of DE genes induced by combination therapy in MCF-7 cell lines. Table S13. Gene set enrichment analysis of DE genes induced by NVP-CGM097 in the PDX treated model. Table S14. Gene set enrichment analysis of DE genes induced by fulvestrant in the PDX treated model. Table S15. Gene set enrichment analysis of DE genes induced by combination therapy in the PDX treated model. Table S16. Combination effect quantified for all genes following treatment with NVP-CGM097, fulvestrant and combination in the PDX model. Table S17. Differential expression analysis of MCF7 cell lines following 48 hours treatment with NVP-CGM097 versus vehicle (0.01% DMSO). Table S18. Differential expression analysis of MCF7 cell lines following 48 hours treatment with palbociclib versus vehicle (0.01% DMSO). Table S19. Differential expression analysis of MCF7 cell lines following 48 hours treatment with combination therapy (NVP-CGM097 + palbociclib) versus vehicle (0.01% DMSO). Table S20. Combination effect quantified for all genes following treatment with NVP-CGM097, palbociclib and combination across cell lines.
DOI: 10.6084/m9.figshare.11405598
title: Test three morphological methods to delineate cities

description: This data set can be used to reproduce the analyses made by the authors in their paper “Morphological delineation of cities based on scaling properties of urban patterns: a comparison of three methods”. It contains 12 shapefiles that represent theoretical urban patterns and 4 shapefiles that can be used to delineate the morphological agglomeration of Brussels (Belgium). It also contains a R script to calculate the carrying capacity of a logistic percolation function.<br>Description of each file<br>2_Figure_1: theoretical street network for testing the Natural Cities method<br>3_Figure_2: theoretical street network for the comparison of two variants of the Natural Cities method<br>4_Figure_3: theoretical street network to evaluate the effects of the spatial extent of the study area on the delineation of Natural Cities<br>5_Figure_5a: theoretical pattern for testing MorphoLim (building footprints) – dense urban core<br>6_Figure_5b: theoretical pattern for testing MorphoLim (building footprints) – less dense urban core<br>7_Figure_6: theoretical pattern (building footprints) to evaluate the effects of the geographic extent of the study area on the delineation with MorphoLim<br>8_Percolation_C_Calculation: R code to calculate the carrying capacity of a logistic function (Hierarchical Percolation)<br>9_Figure_7: theoretical street network for testing Hierarchical Percolation<br>10_Figure_8: theoretical polycentric street network for testing Hierarchical Percolation <br>11_Figure_9ac: theoretical urban pattern crossed by a large non built area (road intersections)<br>12_Figure_9b: theoretical urban pattern crossed by a large non built area (building footprints)<br>13_Figure_10ac: theoretical pattern where a built ribbon links two urban centres (roads intersections )<br>14_Figure_10b: theoretical pattern where a built ribbon links two urban centres (building footprints)<br>15_Belgium_buildings: cadastral data of buildings (2D) for Belgium (© 2009 Administration Générale de la Documentation Patrimoniale)<br>16_Brabant_buildings: cadastral data of buildings (2D) for the province of Brabant (© 2009 Administration Générale de la Documentation Patrimoniale)<br>17_Belgium_roads: road network data come from the platform Geofabrik of OpenStreetMap (http://download.geofabrik.de, accessed 08/21/2018) for Belgium<br>18_Brabant_roads: Road network data come from the platform Geofabrik of OpenStreetMap (http://download.geofabrik.de, accessed 08/21/2018) for the province of Brabant.<br>
DOI: 10.6084/m9.figshare.12799221
title: Additional file 1 of Effect of transient scrotal hyperthermia on human sperm: an iTRAQ-based proteomic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.12799224
title: Additional file 2 of Effect of transient scrotal hyperthermia on human sperm: an iTRAQ-based proteomic analysis

description: Additional file 2.
DOI: 10.6084/m9.figshare.12799221.v1
title: Additional file 1 of Effect of transient scrotal hyperthermia on human sperm: an iTRAQ-based proteomic analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.12799224.v1
title: Additional file 2 of Effect of transient scrotal hyperthermia on human sperm: an iTRAQ-based proteomic analysis

description: Additional file 2.
DOI: 10.6084/m9.figshare.12799206
title: Additional file 1 of Scaling up Ghana's national newborn care initiative: integrating 'helping babies breathe' (HBB), 'essential care for every baby' (ECEB), and newborn 'infection prevention' (IP) trainings

description: Additional file 1. MEBCI Training Dataset. Making Every Baby Count Initiative (MEBCI) Training dataset. The dataset used in this work was built from data collected during the training of health works during the Making Every Baby Count Initiative (MEBCI) project implementation in Ghana. The data was collected from November 2014 to July 2017 from trained health workers working in targeted health facilities in the Brong Ahafo, Eastern Volta and Ashanti Regions of Ghana. The dataset is about 1.8 Mb with a total of 3688 observations and 343 variables. The dataset contains demographic data, trainee first attempt performance on the Helping Babies Breathe, and Essential Care for Every Baby Objective Structured Clinical Examinations, and pre and post training results for knowledge tests on Helping Babies Breathe, Essential Care for Every Baby and Infection Prevention.