cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11643495.v1
title: MOESM2 of Infection control and risk factors for acquisition of carbapenemase-producing enterobacteriaceae. A 5 year (2011–2016) case-control study

description: Additional file 2. Epidemic curve of the 16 CPE patients who were admitted in the same VGH wards at the same period of time.
DOI: 10.6084/m9.figshare.11643486
title: MOESM1 of Infection control and risk factors for acquisition of carbapenemase-producing enterobacteriaceae. A 5 year (2011–2016) case-control study

description: Additional file 1. Distribution of antimicrobials administrated to the CPE patients.
DOI: 10.6084/m9.figshare.11643486.v1
title: MOESM1 of Infection control and risk factors for acquisition of carbapenemase-producing enterobacteriaceae. A 5 year (2011–2016) case-control study

description: Additional file 1. Distribution of antimicrobials administrated to the CPE patients.
DOI: 10.6084/m9.figshare.11643420
title: MOESM1 of Trophoblast cell differentiation in the bovine placenta: differentially expressed genes between uninucleate trophoblast cells and trophoblast giant cells are involved in the composition and remodeling of the extracellular matrix and O-glycan biosynthesis

description: Additional file 1: Table S1-A. List of differentially expressed genes (DEGs) between UTCs and TGCs obtained by analyzing microarray data with the BRB Array Tools. Table S1-B. Correlation between the microarray and quantitative reverse transcription PCR measurements. Table S1-C. List of DAVID IDs generated from the BRB list of DEGs (Table S1-A) using the DAVID Gene List Manager. Table S1-D. KEGG pathways that are involved in the differentiation of UTCs into TGCs and associated DEGs. Table S1-E. Annotation clusters of GO terms related to UTC differentiation into TGCs and associated DEGs (enrichment score &gt; 2). Table S1-F. Sequences of primers used for PCR and quantitative reverse transcription PCR.
DOI: 10.6084/m9.figshare.11643420.v1
title: MOESM1 of Trophoblast cell differentiation in the bovine placenta: differentially expressed genes between uninucleate trophoblast cells and trophoblast giant cells are involved in the composition and remodeling of the extracellular matrix and O-glycan biosynthesis

description: Additional file 1: Table S1-A. List of differentially expressed genes (DEGs) between UTCs and TGCs obtained by analyzing microarray data with the BRB Array Tools. Table S1-B. Correlation between the microarray and quantitative reverse transcription PCR measurements. Table S1-C. List of DAVID IDs generated from the BRB list of DEGs (Table S1-A) using the DAVID Gene List Manager. Table S1-D. KEGG pathways that are involved in the differentiation of UTCs into TGCs and associated DEGs. Table S1-E. Annotation clusters of GO terms related to UTC differentiation into TGCs and associated DEGs (enrichment score &gt; 2). Table S1-F. Sequences of primers used for PCR and quantitative reverse transcription PCR.
DOI: 10.6084/m9.figshare.11643408
title: MOESM1 of Molecular characteristics of odorant-binding protein 1 in Anopheles maculipennis

description: Additional file 1: Appendix 1. Nucleotide polymorphism and schematic structure of amplified fragment of Amacobp1 gene in 25 samples of studied populations of An. maculipennis s. s.
DOI: 10.6084/m9.figshare.11643141
title: Understanding Barriers to Glaucoma Treatment Adherence among Participants in South India

description: <b><i>Purpose</i></b>: Data on glaucoma treatment barriers in South India is limited; improved knowledge of barriers could advance disease self-management. We aimed to understand glaucoma treatment barriers in South India. <b><i>Methods</i></b>: Glaucoma patients ≥18 taking ≥1 medication at the Aravind Eye Hospital were screened with a validated medication adherence tool. Patients who self-reported poor adherence and/or were &gt;3 months late for follow-up completed semi-structured interviews on treatment barriers. Interviews were audio-recorded, transcribed, translated and back-translated to ensure accuracy. Researchers used grounded theory to code the transcripts and identify themes using NVivo 11.0. Demographic and clinical characteristics were abstracted from the medical record. <b><i>Results</i></b>: 70/167 (42%) had poor self-reported adherence to drops. The 45 interviewed were 62 ± 12 years and took 1.6 ± 0.7 drops. Forty-two (93%) were non-adherent to medication and 21 (47%) were late for follow-up. Top barriers to medication adherence were difficulty obtaining drops (20, 44%), being busy (18, 40%), and the expense (17, 38%). Top barriers to appointment follow-up were distance to the hospital (21, 47%), expense (20, 44%), and no escort (15, 33%). Other important barriers included mistrust in the health system, poor knowledge of glaucoma and family needs. <b><i>Conclusions</i></b>: Previously, 6% of glaucoma patients in South India self-reported poor medication adherence; the 42% identified in this study is in line with glaucoma medication adherence rates globally. Complex factors caused high rates of non-adherence. Societal-level interventions that address systemic barriers and counselling that supports patients’ and families’ motivation for behaviour change should be implemented.
DOI: 10.6084/m9.figshare.11642754
title: Advanced age population estimates for Australia

description: This Excel workbook contains estimates of Australia's population by sex and single years of age from 85 up to the very highest ages. They were created using the extinct generation method and the projected survivor ratio method described in Wilson and Terblanche (2018). See http://dx.doi.org/10.23889/ijpds.v3i1.447<br>
DOI: 10.6084/m9.figshare.11643141.v1
title: Understanding Barriers to Glaucoma Treatment Adherence among Participants in South India

description: <b><i>Purpose</i></b>: Data on glaucoma treatment barriers in South India is limited; improved knowledge of barriers could advance disease self-management. We aimed to understand glaucoma treatment barriers in South India. <b><i>Methods</i></b>: Glaucoma patients ≥18 taking ≥1 medication at the Aravind Eye Hospital were screened with a validated medication adherence tool. Patients who self-reported poor adherence and/or were &gt;3 months late for follow-up completed semi-structured interviews on treatment barriers. Interviews were audio-recorded, transcribed, translated and back-translated to ensure accuracy. Researchers used grounded theory to code the transcripts and identify themes using NVivo 11.0. Demographic and clinical characteristics were abstracted from the medical record. <b><i>Results</i></b>: 70/167 (42%) had poor self-reported adherence to drops. The 45 interviewed were 62 ± 12 years and took 1.6 ± 0.7 drops. Forty-two (93%) were non-adherent to medication and 21 (47%) were late for follow-up. Top barriers to medication adherence were difficulty obtaining drops (20, 44%), being busy (18, 40%), and the expense (17, 38%). Top barriers to appointment follow-up were distance to the hospital (21, 47%), expense (20, 44%), and no escort (15, 33%). Other important barriers included mistrust in the health system, poor knowledge of glaucoma and family needs. <b><i>Conclusions</i></b>: Previously, 6% of glaucoma patients in South India self-reported poor medication adherence; the 42% identified in this study is in line with glaucoma medication adherence rates globally. Complex factors caused high rates of non-adherence. Societal-level interventions that address systemic barriers and counselling that supports patients’ and families’ motivation for behaviour change should be implemented.
DOI: 10.6084/m9.figshare.11642754.v1
title: Australia_advanced_age_population_estimates_1971_2018.xlsx

description: This Excel workbook contains estimates of Australia's population by sex and single years of age from 85 up to the very highest ages. It applies the extinct generation method and the projected survivor ratio method described in Wilson and Terblanche (2018). See http://dx.doi.org/10.23889/ijpds.v3i1.447<br>
DOI: 10.6084/m9.figshare.11642754.v2
title: Australia_advanced_age_population_estimates_1971_2018.xlsx

description: This Excel workbook contains estimates of Australia's population by sex and single years of age from 85 up to the very highest ages. They were created using the extinct generation method and the projected survivor ratio method described in Wilson and Terblanche (2018). See http://dx.doi.org/10.23889/ijpds.v3i1.447<br>
DOI: 10.6084/m9.figshare.11640228
title: RNA Seq

description: RNA sequencing data sets
DOI: 10.6084/m9.figshare.11640183
title: Assessing the safety criticality of driver behavior toward cyclists at intersections

description: <b>Objective:</b> Detailed analyses of car-to-cyclist accidents show that drivers intending to turn right at T-junctions collide more often with cyclists crossing from the right side on the bicycle lane than drivers intending to turn left. This fact has led to numerous studies examining the behavior of drivers turning left and right. However, the most essential question still has not been sufficiently answered: is the behavior of drivers intending to turn right generally more safety critical than the behavior of those intending to turn left? The purpose of this article is to provide a method that allows to determine whether a driver’s behavior toward cyclists can retrospectively be assessed as critical or non-critical. <b>Methods:</b> Several theoretical considerations enriched by findings of experimental studies were employed to devise a multi-measure method. This method was applied to a dataset containing real-world approaching behavior of 48 drivers turning right and left at four T-junctions with different sight obstructions. For each driver a behavior-specific criticality was defined based on both, their driving and gaze behavior. Moreover, based on the behavior-specific criticality of each driver, the required field of view to see a cyclist from the right was defined and was set into relation with the available field of view of the T-junction. <b>Results:</b> The results show that only a small portion of the drivers within the dataset would have posed an actual risk to cyclists crossing from the right side. Those situations with a higher safety criticality did not only arise when drivers intended to turn right, but also left. <b>Conclusion:</b> Therefore, the analysis can only provide an explanation for the higher proportion of accidents between drivers turning right and cyclists crossing from the right side in certain situations. Further research, for example analyses of exposure data regarding the frequency of turning manoeuvers at T-junctions, is needed in order to explain the higher proportion of accidents between drivers turning right and cyclists crossing from the right side.
DOI: 10.6084/m9.figshare.11640228.v1
title: RNA Seq

description: RNA sequencing data sets
DOI: 10.6084/m9.figshare.11640183.v1
title: Assessing the safety criticality of driver behavior toward cyclists at intersections

description: <b>Objective:</b> Detailed analyses of car-to-cyclist accidents show that drivers intending to turn right at T-junctions collide more often with cyclists crossing from the right side on the bicycle lane than drivers intending to turn left. This fact has led to numerous studies examining the behavior of drivers turning left and right. However, the most essential question still has not been sufficiently answered: is the behavior of drivers intending to turn right generally more safety critical than the behavior of those intending to turn left? The purpose of this article is to provide a method that allows to determine whether a driver’s behavior toward cyclists can retrospectively be assessed as critical or non-critical. <b>Methods:</b> Several theoretical considerations enriched by findings of experimental studies were employed to devise a multi-measure method. This method was applied to a dataset containing real-world approaching behavior of 48 drivers turning right and left at four T-junctions with different sight obstructions. For each driver a behavior-specific criticality was defined based on both, their driving and gaze behavior. Moreover, based on the behavior-specific criticality of each driver, the required field of view to see a cyclist from the right was defined and was set into relation with the available field of view of the T-junction. <b>Results:</b> The results show that only a small portion of the drivers within the dataset would have posed an actual risk to cyclists crossing from the right side. Those situations with a higher safety criticality did not only arise when drivers intended to turn right, but also left. <b>Conclusion:</b> Therefore, the analysis can only provide an explanation for the higher proportion of accidents between drivers turning right and cyclists crossing from the right side in certain situations. Further research, for example analyses of exposure data regarding the frequency of turning manoeuvers at T-junctions, is needed in order to explain the higher proportion of accidents between drivers turning right and cyclists crossing from the right side.
DOI: 10.6084/m9.figshare.11640120
title: A new species of <i>Trichechus</i> Linnaeus, 1758 (Sirenia, Trichechidae), from the upper Pleistocene of southwestern Amazonia, and the evolution of Amazonian manatees

description: The genus <i>Trichechus</i> (Mammalia, Sirenia, Trichechidae) harbors a modest diversity, comprising only three living species of manatees, and no species currently recognized as fossil. Herein, we report a new extinct species of manatee from the late Pleistocene of the Brazilian Amazonia, <i>Trichechus hesperamazonicus</i>, sp. nov. It comes from the alluvial deposits of the Rio Madeira Formation along the Madeira River, state of Rondônia, western Brazil, and is represented by a partial palate with both molar series and two partial right dentaries. The new taxon shows a mosaic of characteristics resembling those of other manatee species, as well as some unique characters. It differs from all other <i>Trichechus</i> species by possessing a wide space between the posterior lower tooth row and ascending ramus of dentary, and by having the anterior border of the ascending ramus covering the posterior end of the tooth row in lateral view. The results of morphometric analyses (principal component analysis and discriminant analysis) further support the distinctiveness of the new species. A phylogenetic analysis recovers the new species in a polytomy with <i>T. inunguis</i> and the clade formed by <i>T. senegalensis</i> and <i>T. manatus</i>. The levels from which the remains were recovered produced a radiocarbon date of 44,710 ± 880 years before present; together with molecular clock estimates, this date suggests that until recently at least two species of manatees coexisted in the fluvial systems of western Amazonia.
DOI: 10.6084/m9.figshare.11640120.v1
title: A new species of <i>Trichechus</i> Linnaeus, 1758 (Sirenia, Trichechidae), from the upper Pleistocene of southwestern Amazonia, and the evolution of Amazonian manatees

description: The genus <i>Trichechus</i> (Mammalia, Sirenia, Trichechidae) harbors a modest diversity, comprising only three living species of manatees, and no species currently recognized as fossil. Herein, we report a new extinct species of manatee from the late Pleistocene of the Brazilian Amazonia, <i>Trichechus hesperamazonicus</i>, sp. nov. It comes from the alluvial deposits of the Rio Madeira Formation along the Madeira River, state of Rondônia, western Brazil, and is represented by a partial palate with both molar series and two partial right dentaries. The new taxon shows a mosaic of characteristics resembling those of other manatee species, as well as some unique characters. It differs from all other <i>Trichechus</i> species by possessing a wide space between the posterior lower tooth row and ascending ramus of dentary, and by having the anterior border of the ascending ramus covering the posterior end of the tooth row in lateral view. The results of morphometric analyses (principal component analysis and discriminant analysis) further support the distinctiveness of the new species. A phylogenetic analysis recovers the new species in a polytomy with <i>T. inunguis</i> and the clade formed by <i>T. senegalensis</i> and <i>T. manatus</i>. The levels from which the remains were recovered produced a radiocarbon date of 44,710 ± 880 years before present; together with molecular clock estimates, this date suggests that until recently at least two species of manatees coexisted in the fluvial systems of western Amazonia.
DOI: 10.6084/m9.figshare.11639808
title: Data.Li_et_al.micro-CT.control

description: The micro-CT image data for the control group for the paper "Polymicrobial Periodontal Disease Triggers a Wide Radius of Effect and Unique Virome"
DOI: 10.6084/m9.figshare.11639799
title: Data.Li_et_al.micro-CT.infection

description: The micro-CT image data for the infection group for the paper "Polymicrobial Periodontal Disease Triggers a Wide Radius of Effect and Unique Virome"
DOI: 10.6084/m9.figshare.11639808.v1
title: Data.Li_et_al.micro-CT.control

description: The micro-CT image data for the control group for the paper "Polymicrobial Periodontal Disease Triggers a Wide Radius of Effect and Unique Virome"
DOI: 10.6084/m9.figshare.11639799.v1
title: Data.Li_et_al.micro-CT.infection

description: The micro-CT image data for the infection group for the paper "Polymicrobial Periodontal Disease Triggers a Wide Radius of Effect and Unique Virome"
DOI: 10.6084/m9.figshare.11639700
title: Traffic noise playback reduces the activity and feeding behaviour of free-living bats.

description: Two databases, one for each experiment which took place as part of this study to examine the impact of traffic noise on bat activity and feeding behaviour.
DOI: 10.6084/m9.figshare.11639676
title: Two-step mechanism of J-domain action in driving Hsp70 function

description: Dataset for manuscript "Two-step mechanism of J-domain action in driving Hsp70 function".<br>
DOI: 10.6084/m9.figshare.11639676.v1
title: Two-step mechanism of J-domain action in driving Hsp70 function

description: Dataset for manuscript "Two-step mechanism of J-domain action in driving Hsp70 function"<br>
DOI: 10.6084/m9.figshare.11639676.v3
title: Two-step mechanism of J-domain action in driving Hsp70 function

description: Dataset for manuscript "Two-step mechanism of J-domain action in driving Hsp70 function".<br>
DOI: 10.6084/m9.figshare.11639661
title: Modelling the functional connectivity of landscapes for greater horseshoe bats Rhinolophus ferrumequinum at a local scale.

description: Average nightly activity and commuting activity for Rhinolophus ferrumequinum at each location.
DOI: 10.6084/m9.figshare.11639664
title: nGOM suspended particle data.xlsx

description: These data are for suspended particles collected from northern Gulf of Mexico hypoxic zone during cruises of May 2012-2013, including station coordinates, CTD, nitrite+nitrate, total hydrolyzable amino acids, total organic carbon, stable 13C, C/N ratio, and pigments including chloropigments and assessor pigments. Phytoplankton communities were reconstructed using the pigment data based upon established algorithms.
DOI: 10.6084/m9.figshare.11639676.v2
title: Two-step mechanism of J-domain action in driving Hsp70 function

description: Dataset for manuscript "Two-step mechanism of J-domain action in driving Hsp70 function".<br>
DOI: 10.6084/m9.figshare.11639664.v1
title: nGOM suspended particle data.xlsx

description: These data are for suspended particles collected from northern Gulf of Mexico hypoxic zone during cruises of May 2012-2013, including station coordinates, CTD, nitrite+nitrate, total hydrolyzable amino acids, total organic carbon, stable 13C, C/N ratio, and pigments including chloropigments and assessor pigments. Phytoplankton communities were reconstructed using the pigment data based upon established algorithms.
DOI: 10.6084/m9.figshare.11638932
title: A Wikipedia Based Map of Science

description: 15th January 2020 - A Map of Science. v. 1.0<br> Description:A network which shows the similarities among different branches of science. It's based on Wikipedia pages in outline of natural, formal, social and applied sciences plus Data Science, which is not yet included (18 Jan. 2020). All pages called "Outline of X" were ignored. Pages are pre processed to get the main content with regular expressions. Stop words removal, lemmatization with WordNetLemmatizer in NLTK. Edges represent cosine similarity and filtered calculating zscore leaving only edges with a zscore &gt; 1.959964 . Isolated nodes were removed.<br><br>Materials:R, python, igraph, nltk, d3, javascript, html, wikipedia <br><br>Contact:Alberto Calderone - sinnefa@gmail.com<br>Preview:http://www.sinnefa.com/wikipediasciencemap/<br>
DOI: 10.6084/m9.figshare.11638932.v2
title: A Wikipedia Based Map of Science

description: 15th January 2020 - A Map of Science. v. 1.0<br> Description:A network which shows the similarities among different branches of science. It's based on Wikipedia pages in outline of natural, formal, social and applied sciences plus Data Science, which is not yet included (18 Jan. 2020). Pages are pre processed to get the main content with regular expressions. Stop words removal, lemmatization with WordNetLemmatizer in NLTK. Edges represent cosine similarity and filtered calculating zscore leaving only edges with a zscore &gt; 1.959964 . Isolated nodes were removed.<br><br>Materials:R, python, igraph, nltk, d3, javascript, html, wikipedia <br><br>Contact:Alberto Calderone - sinnefa@gmail.com<br>Preview:http://www.sinnefa.com/wikipediasciencemap/<br>
DOI: 10.6084/m9.figshare.11638932.v3
title: A Wikipedia Based Map of Science

description: 15th January 2020 - A Map of Science. v. 1.0<br> Description:A network which shows the similarities among different branches of science. It's based on Wikipedia pages in outline of natural, formal, social and applied sciences plus Data Science, which is not yet included (18 Jan. 2020). All pages called "Outline of X" were ignored. Pages are pre processed to get the main content with regular expressions. Stop words removal, lemmatization with WordNetLemmatizer in NLTK. Edges represent cosine similarity and filtered calculating zscore leaving only edges with a zscore &gt; 1.959964 . Isolated nodes were removed.<br><br>Materials:R, python, igraph, nltk, d3, javascript, html, wikipedia <br><br>Contact:Alberto Calderone - sinnefa@gmail.com<br>Preview:http://www.sinnefa.com/wikipediasciencemap/<br>
DOI: 10.6084/m9.figshare.11638932.v4
title: A Wikipedia Based Map of Science

description: 15th January 2020 - A Map of Science. v. 1.0<br> Description:A network which shows the similarities among different branches of science. It's based on Wikipedia pages in outline of natural, formal, social and applied sciences plus Data Science, which is not yet included (18 Jan. 2020). All pages called "Outline of X" were ignored. Pages are pre processed to get the main content with regular expressions. Stop words removal, lemmatization with WordNetLemmatizer in NLTK. Edges represent cosine similarity and filtered calculating zscore leaving only edges with a zscore &gt; 1.959964 . Isolated nodes were removed.<br><br>Materials:R, python, igraph, nltk, d3, javascript, html, wikipedia <br><br>Contact:Alberto Calderone - sinnefa@gmail.com<br>Preview:http://www.sinnefa.com/wikipediasciencemap/<br>