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Research data keyboard_double_arrow_right Collection 2023Publisher:figshare Funded by:WT | China Kadoorie Biobank (C..., UKRI | China Kadoorie Biobank (C..., WT | China Kadoorie Biobank (C... +2 projectsWT| China Kadoorie Biobank (CKB) of 0.5 million adults. ,UKRI| China Kadoorie Biobank (CKB) ,WT| China Kadoorie Biobank (CKB) prospective study of 0.5 million adults ,WT| The Kadoorie Biobank study. ,WT| China Kadoorie Biobank of 0.5 million adultsWright, Neil; Newell, Katherine; Chan, Ka Hung; Gilbert, Simon; Hacker, Alex; Lu, Yan; Guo, Yu; Pei, Pei; Yu, Canqing; Lv, Jun; Chen, Junshi; Li, Liming; Kurmi, Om; Chen, Zhengming; Lam, Kin Bong Hubert; Kartsonaki, Christiana;Abstract Background Existing evidence on long-term ambient air pollution (AAP) exposure and risk of cardio-respiratory diseases in China is mainly on mortality, and based on area average concentrations from fixed-site monitors for individual exposures. Substantial uncertainty persists, therefore, about the shape and strength of the relationship when assessed using more personalised individual exposure data. We aimed to examine the relationships between AAP exposure and risk of cardio-respiratory diseases using predicted local levels of AAP. Methods A prospective study included 50,407 participants aged 30–79 years from Suzhou, China, with concentrations of nitrogen dioxide (NO2), sulphur dioxide (SO2), fine (PM2.5), and inhalable (PM10) particulate matter, ozone (O3) and carbon monoxide (CO) and incident cases of cardiovascular disease (CVD) (n = 2,563) and respiratory disease (n = 1,764) recorded during 2013–2015. Cox regression models with time-dependent covariates were used to estimate adjusted hazard ratios (HRs) for diseases associated with local-level concentrations of AAP exposure, estimated using Bayesian spatio–temporal modelling. Results The study period of 2013–2015 included a total of 135,199 person-years of follow-up for CVD. There was a positive association of AAP, particularly SO2 and O3, with risk of major cardiovascular and respiratory diseases. Each 10 µg/m3 increase in SO2 was associated with adjusted hazard ratios (HRs) of 1.07 (95% CI: 1.02, 1.12) for CVD, 1.25 (1.08, 1.44) for COPD and 1.12 (1.02, 1.23) for pneumonia. Similarly, each 10 µg/m3 increase in O3 was associated with adjusted HR of 1.02 (1.01, 1.03) for CVD, 1.03 (1.02, 1.05) for all stroke, and 1.04 (1.02, 1.06) for pneumonia. Conclusions Among adults in urban China, long-term exposure to ambient air pollution is associated with a higher risk of cardio-respiratory disease.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:Cranfield Online Research Data (CORD) Funded by:EC | FORCeS, EC | 4C, WT | Future of Animal-sourced ... +3 projectsEC| FORCeS ,EC| 4C ,WT| Future of Animal-sourced Foods (FOAF) ,UKRI| The Oxford DTP in Environmental Research ,UKRI| OpenGHG: A community platform for greenhouse gas data science ,EC| PARIS REINFORCEAuthors: Cain, Michelle;Cain, Michelle;Zip file of code and data required to produce the figures in the following publication: Cain M, Jenkins S, Allen MR, Lynch J, Frame DJ, Macey AH, Peters GP. 2021 Methane and the Paris Agreement temperature goals. Phil. Trans. R. Soc. A 380: 20200456. https://doi.org/10.1098/rsta.2020.0456 Uses Python 3 in a Jupyter Notebook, an early version of FaIR2.0.0 (included in the zip file), see Leach et al, 2021: https://gmd.copernicus.org/articles/14/3007/2021/gmd-14-3007-2021.html for details of the model. Scenario data has been used from Huppmann et al. (2018) and is available at https://data.ene.iiasa.ac.at/iamc-1.5c-explorer.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:The Royal Society Funded by:WT | Future of Animal-sourced ..., EC | 4C, UKRI | The Oxford DTP in Environ... +3 projectsWT| Future of Animal-sourced Foods (FOAF) ,EC| 4C ,UKRI| The Oxford DTP in Environmental Research ,UKRI| OpenGHG: A community platform for greenhouse gas data science ,EC| PARIS REINFORCE ,EC| FORCeSCain, Michelle; Jenkins, Stuart; Allen, Myles R.; Lynch, John; Frame, David J.; Macey, Adrian H.; Peters, Glen P.;Meeting the Paris Agreement temperature goal necessitates limiting methane (CH4)-induced warming, in addition to achieving net-zero or (net-2) emissions. In our model, for the median 1.5°C scenario between 2020 and 2050, CH4 mitigation lowers temperatures by 0.1°C; CO2 increases it by 0.2°C. CO2 emissions continue increasing global mean temperature until net-zero emissions are reached, with potential for lowering temperatures with net-negative emissions. By contrast, reducing CH4 emissions starts to reverse CH4-induced warming within a few decades. These differences are hidden when framing climate mitigation using annual ‘CO2-equivalent’ emissions, including targets based on aggregated annual emission rates. We show how the different warming responses to CO2 and CH4 emissions can be accurately aggregated to estimate warming by using ‘warming-equivalent emissions', which provide a transparent and convenient method to inform policies and measures for mitigation, or demonstrate progress towards a temperature goal. The methodThis article is part of the Discussion meeting issue ‘Rising methane: is warming feeding warming? (part 2)’.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Taylor & Francis Funded by:WT | Seasonal drivers of human..., WT, NIH | Laboratory CoreWT| Seasonal drivers of human movement and aggregation in a changing climate: consequences for infectious disease dynamics and control ,WT ,NIH| Laboratory CoreLloyd, Christopher T.; Chamberlain, Heather; Kerr, David; Yetman, Greg; Pistolesi, Linda; Stevens, Forrest R.; Gaughan, Andrea E.; Nieves, Jeremiah J.; Hornby, Graeme; Kytt MacManus; Parmanand Sinha; Bondarenko, Maksym; Sorichetta, Alessandro; Tatem, Andrew J.;Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal scales. This is in support of measurement and monitoring of UN Sustainable Development Goals and related agendas. In response to these agendas, a method has been developed to assemble and harmonise a unique, open access, archive of geospatial datasets. Datasets are provided as global, annual time series, where pertinent at the timescale of population analyses and where data is available, for use in the construction of population distribution layers. The archive includes sub-national census-based population estimates, matched to a geospatial layer denoting administrative unit boundaries, and a number of co-registered gridded geospatial factors that correlate strongly with population presence and density. Here, we describe these harmonised datasets and their limitations, along with the production workflow. Further, we demonstrate applications of the archive by producing multi-temporal gridded population outputs for Africa and using these to derive health and development metrics. The geospatial archive is available at https://doi.org/10.5258/SOTON/WP00650.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 27 Jun 2018 EnglishPublisher:Dryad Funded by:WT, IRC, EC | BEANWT ,IRC ,EC| BEANMartiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; Burger, Joachim; Parreira, Rui; Moran, Elena; Valera, Antonio C.; Porfirio, Eduardo; Boaventura, Rui; Silva, Ana M.; Bradley, Daniel G.;doi: 10.5061/dryad.g9f5r
We analyse new genomic data (0.05–2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200–3500 BC) to the Middle Bronze Age (1740–1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature. Index for VCF fileIndex for VCF filepost_imputation_Martiniano_et_al_2017_public.vcf.gz.tbiVCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples.VCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples which we analysed in Martiniano et al. (2017).post_imputation_Martiniano_et_al_2017_public.vcf.gzREADME_Martiniano_et_al_2017Description of the methods used for genotype imputation.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 15visibility views 15 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 19 Mar 2018 EnglishPublisher:Dryad Funded by:UKRI | Deciphering dog domestica..., UKRI | Deciphering dog domestica..., WT | Human Adaptation to Chang... +4 projectsUKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,UKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,WT| Human Adaptation to Changing Diet and Infectious Disease Loads, from the Origins of Agriculture to the Present. ,EC| BEAN ,WT| Domestic animals as a model to understand the relationship between deleterious mutations, demography and disease ,EC| UNDEAD ,NSERCAuthors: Frantz, Laurent A. F.; Rudzinski, Anna; Nugraha, Abang Mansyursyah Surya; Evin, Allowen; +38 AuthorsFrantz, Laurent A. F.; Rudzinski, Anna; Nugraha, Abang Mansyursyah Surya; Evin, Allowen; Burton, James; Hulme-Beaman, Ardern; Linderholm, Anna; Barnett, Ross; Vega, Rodrigo; Irving-Pease, Evan K.; Haile, James; Allen, Richard; Leus, Kristin; Shephard, Jill; Hillyer, Mia; Gillemot, Sarah; van den Hurk, Jeroen; Ogle, Sharron; Atofanei, Cristina; Thomas, Mark G.; Johansson, Friederike; Mustari, Abdul Haris; Williams, John; Mohamad, Kusdiantoro; Damayanti, Chandramaya Siska; Wiryadi, Ita Djuwita; Obbles, Dagmar; Mona, Stephano; Day, Hally; Yasin, Muhammad; Meker, Stefan; McGuire, Jimmy A.; Evans, Ben J.; von Rintelen, Thomas; Ho, Simon Y. W.; Searle, Jeremy B.; Kitchener, Andrew C.; Macdonald, Alastair A.; Shaw, Darren J.; Hall, Robert; Galbusera, Peter; Larson, Greger;doi: 10.5061/dryad.dv322
The high degree of endemism on Sulawesi has previously been suggested to have vicariant origins, dating back 40 Myr ago. Recent studies, however, suggest that much of Sulawesi’s fauna assembled over the last 15 Myr. Here, we test the hypothesis that more recent uplift of previously submerged portions of land on Sulawesi promoted diversification, and that much of its faunal assemblage is much younger than the island itself. To do so, we combined palaeogeographical reconstructions with genetic and morphometric data sets derived from Sulawesi’s three largest mammals: the Babirusa, Anoa, and Sulawesi warty pig. Our results indicate that although these species most likely colonized the area that is now Sulawesi at different times (14 Myr ago to 2-3 Myr ago), they experienced an almost synchronous expansion from the central part of the island. Geological reconstructions indicate that this area was above sea level for most of the last 4 Myr, unlike most parts of the island. We conclude that emergence of land on Sulawesi (~1–2 Myr) may have allowed species to expand synchronously. Altogether, our results indicate that the establishment of the highly endemic faunal assemblage on Sulawesi was driven by geological events over the last few million years. Anoa mtDNAFasta files containing Anoa mtDNA dataAnoa_cytb.fastaAnoa microsatelliteTSV files containing Anoa microsatellite dataAnoa_microsat.tsvBabirusa mtDNAFasta files containing Babirusa mtDNA dataBabirusa_dloop.fastaBabirusa microsatelliteTSV files containing Babirusa microsatellite dataBabirusa_microsat.tsvSWP mtDNAFasta files containing SWP mtDNA dataSus_dloop.fastaSWP microsatelliteTSV files containing SWP microsatellite dataSus_microsat.tsvCentroid size of lower second of Babirusa and SWPCentroid size for the lower M2BabSus-lowerM2-CS.NTSShape of lower second molar of Babirusa and SWPShape coordinates after superimposition for the lower M2BabSus-lowerM2-aligned.TPSSample list for second lower molar TPS and NTS filesBabSus-lowerM2-ind.csvShape of third second molar of Babirusa and SWPShape coordinates after superimposition for the lower M3BabSus-lowerM3-aligned.TPSCentroid size of lower third molar of Babirusa and SWPCentroid size for the lower M3BabSus-lowerM3-CS.NTSSample list for third lower molar TPS and NTS filesBabSus-lowerM3-CS-ind.csvTable S1Sample information for all three speciesTable_S1.xlsx
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 16visibility views 16 download downloads 9 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2018Publisher:Figshare Funded by:UKRI | Deciphering dog domestica..., WT | Human Adaptation to Chang..., UKRI | Deciphering dog domestica... +4 projectsUKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,WT| Human Adaptation to Changing Diet and Infectious Disease Loads, from the Origins of Agriculture to the Present. ,UKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,EC| UNDEAD ,EC| BEAN ,WT| Domestic animals as a model to understand the relationship between deleterious mutations, demography and disease ,NSERCAuthors: Frantz, Laurent A. F.; Rudzinski, Anna; Abang Mansyursyah Surya Nugraha; Allowen Evin; +38 AuthorsFrantz, Laurent A. F.; Rudzinski, Anna; Abang Mansyursyah Surya Nugraha; Allowen Evin; Burton, James; Ardern Hulme-Beaman; Linderholm, Anna; Barnett, Ross; Vega, Rodrigo; Irving-Pease, Evan K.; Haile, James; Allen, Richard; Leus, Kristin; Shephard, Jill; Hillyer, Mia; Gillemot, Sarah; Hurk, Jeroen Van Den; Ogle, Sharron; Atofanei, Cristina; Thomas, Mark G.; Johansson, Friederike; Mustari, Abdul Haris; Williams, John; Kusdiantoro Mohamad; Chandramaya Siska Damayanti; Wiryadi, Ita Djuwita; Obbles, Dagmar; Stephano Mona; Hally Day; Yasin, Muhammad; Meker, Stefan; McGuire, Jimmy A.; Evans, Ben J.; Rintelen, Thomas Von; Ho, Simon Y. W.; Searle, Jeremy B.; Kitchener, Andrew C.; Macdonald, Alastair A.; Shaw, Darren J.; Hall, Robert; Galbusera, Peter; Larson, Greger;The high degree of endemism on Sulawesi has previously been suggested to have vicariant origins, dating back 40 Ma. Recent studies, however, suggest that much of Sulawesi's fauna assembled over the last 15 Myr. Here, we test the hypothesis that more recent uplift of previously submerged portions of land on Sulawesi promoted diversification and that much of its faunal assemblage is much younger than the island itself. To do so, we combined palaeogeographical reconstructions with genetic and morphometric datasets derived from Sulawesi's three largest mammals: the Babirusa, Anoa and Sulawesi warty pig. Our results indicate that although these species most likely colonized the area that is now Sulawesi at different times (14 Ma to 2–3 Ma), they experienced an almost synchronous expansion from the central part of the island. Geological reconstructions indicate that this area was above sea level for most of the last 4 Myr, unlike most parts of the island. We conclude that emergence of land on Sulawesi (approx. 1–2 Myr) may have allowed species to expand synchronously. Altogether, our results indicate that the establishment of the highly endemic faunal assemblage on Sulawesi was driven by geological events over the last few million years.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:NIH | Joint Center for Structur..., WT, NIH | Center for Membrane Prote... +9 projectsNIH| Joint Center for Structural Genomics ,WT ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,NIH| JCIMPT-Complexes ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| GPCR Network ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NSF| Facility Support: High-Resolution X-ray Computed Tomography LaboratoryAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Archaeoraptor original 16bit data, resampled as cubic voxels 1441 slices; TIF format; 231 - 401 Kb each Voxel dimension X = 0.2637 mm Voxel dimension Y = 0.2637 mm Voxel dimension Z = 0.2637 mm These data are 16bit unleveled TIFF files and may appear black in some image viewers (see Usage Notes)
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:WT, NIH | Prokaryotic Expression, NSF | Biology with X-ray Lasers +9 projectsWT ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| GPCR Network ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,NIH| Joint Center for Structural Genomics ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NSF| Facility Support: High-Resolution X-ray Computed Tomography Laboratory ,NIH| JCIMPT-ComplexesAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Confuciusornis original 16bit data, resampled as cubic voxels 1295 slices; TIF format; 302 - 567 Kb each Voxel dimension X = 0.2148 mm Voxel dimension Y = 0.2148 mm Voxel dimension Z = 0.2148 mm These data are 16bit unleveled TIFF files and may appear black in some image viewers (see Usage Notes)
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d55.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:NSF | DLI-Phase 2: A Digital Li..., WT, NIH | Prokaryotic Expression +9 projectsNSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,WT ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| Facility Support: High-Resolution X-ray Computed Tomography Laboratory ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NIH| GPCR Network ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| Joint Center for Structural Genomics ,NIH| JCIMPT-ComplexesAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Confuciusornis slab - 3D roll showing distribution of voids in translucent matrix
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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Research data keyboard_double_arrow_right Collection 2023Publisher:figshare Funded by:WT | China Kadoorie Biobank (C..., UKRI | China Kadoorie Biobank (C..., WT | China Kadoorie Biobank (C... +2 projectsWT| China Kadoorie Biobank (CKB) of 0.5 million adults. ,UKRI| China Kadoorie Biobank (CKB) ,WT| China Kadoorie Biobank (CKB) prospective study of 0.5 million adults ,WT| The Kadoorie Biobank study. ,WT| China Kadoorie Biobank of 0.5 million adultsWright, Neil; Newell, Katherine; Chan, Ka Hung; Gilbert, Simon; Hacker, Alex; Lu, Yan; Guo, Yu; Pei, Pei; Yu, Canqing; Lv, Jun; Chen, Junshi; Li, Liming; Kurmi, Om; Chen, Zhengming; Lam, Kin Bong Hubert; Kartsonaki, Christiana;Abstract Background Existing evidence on long-term ambient air pollution (AAP) exposure and risk of cardio-respiratory diseases in China is mainly on mortality, and based on area average concentrations from fixed-site monitors for individual exposures. Substantial uncertainty persists, therefore, about the shape and strength of the relationship when assessed using more personalised individual exposure data. We aimed to examine the relationships between AAP exposure and risk of cardio-respiratory diseases using predicted local levels of AAP. Methods A prospective study included 50,407 participants aged 30–79 years from Suzhou, China, with concentrations of nitrogen dioxide (NO2), sulphur dioxide (SO2), fine (PM2.5), and inhalable (PM10) particulate matter, ozone (O3) and carbon monoxide (CO) and incident cases of cardiovascular disease (CVD) (n = 2,563) and respiratory disease (n = 1,764) recorded during 2013–2015. Cox regression models with time-dependent covariates were used to estimate adjusted hazard ratios (HRs) for diseases associated with local-level concentrations of AAP exposure, estimated using Bayesian spatio–temporal modelling. Results The study period of 2013–2015 included a total of 135,199 person-years of follow-up for CVD. There was a positive association of AAP, particularly SO2 and O3, with risk of major cardiovascular and respiratory diseases. Each 10 µg/m3 increase in SO2 was associated with adjusted hazard ratios (HRs) of 1.07 (95% CI: 1.02, 1.12) for CVD, 1.25 (1.08, 1.44) for COPD and 1.12 (1.02, 1.23) for pneumonia. Similarly, each 10 µg/m3 increase in O3 was associated with adjusted HR of 1.02 (1.01, 1.03) for CVD, 1.03 (1.02, 1.05) for all stroke, and 1.04 (1.02, 1.06) for pneumonia. Conclusions Among adults in urban China, long-term exposure to ambient air pollution is associated with a higher risk of cardio-respiratory disease.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2023Publisher:Cranfield Online Research Data (CORD) Funded by:EC | FORCeS, EC | 4C, WT | Future of Animal-sourced ... +3 projectsEC| FORCeS ,EC| 4C ,WT| Future of Animal-sourced Foods (FOAF) ,UKRI| The Oxford DTP in Environmental Research ,UKRI| OpenGHG: A community platform for greenhouse gas data science ,EC| PARIS REINFORCEAuthors: Cain, Michelle;Cain, Michelle;Zip file of code and data required to produce the figures in the following publication: Cain M, Jenkins S, Allen MR, Lynch J, Frame DJ, Macey AH, Peters GP. 2021 Methane and the Paris Agreement temperature goals. Phil. Trans. R. Soc. A 380: 20200456. https://doi.org/10.1098/rsta.2020.0456 Uses Python 3 in a Jupyter Notebook, an early version of FaIR2.0.0 (included in the zip file), see Leach et al, 2021: https://gmd.copernicus.org/articles/14/3007/2021/gmd-14-3007-2021.html for details of the model. Scenario data has been used from Huppmann et al. (2018) and is available at https://data.ene.iiasa.ac.at/iamc-1.5c-explorer.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2021Publisher:The Royal Society Funded by:WT | Future of Animal-sourced ..., EC | 4C, UKRI | The Oxford DTP in Environ... +3 projectsWT| Future of Animal-sourced Foods (FOAF) ,EC| 4C ,UKRI| The Oxford DTP in Environmental Research ,UKRI| OpenGHG: A community platform for greenhouse gas data science ,EC| PARIS REINFORCE ,EC| FORCeSCain, Michelle; Jenkins, Stuart; Allen, Myles R.; Lynch, John; Frame, David J.; Macey, Adrian H.; Peters, Glen P.;Meeting the Paris Agreement temperature goal necessitates limiting methane (CH4)-induced warming, in addition to achieving net-zero or (net-2) emissions. In our model, for the median 1.5°C scenario between 2020 and 2050, CH4 mitigation lowers temperatures by 0.1°C; CO2 increases it by 0.2°C. CO2 emissions continue increasing global mean temperature until net-zero emissions are reached, with potential for lowering temperatures with net-negative emissions. By contrast, reducing CH4 emissions starts to reverse CH4-induced warming within a few decades. These differences are hidden when framing climate mitigation using annual ‘CO2-equivalent’ emissions, including targets based on aggregated annual emission rates. We show how the different warming responses to CO2 and CH4 emissions can be accurately aggregated to estimate warming by using ‘warming-equivalent emissions', which provide a transparent and convenient method to inform policies and measures for mitigation, or demonstrate progress towards a temperature goal. The methodThis article is part of the Discussion meeting issue ‘Rising methane: is warming feeding warming? (part 2)’.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.5680387&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.5680387&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2019Publisher:Taylor & Francis Funded by:WT | Seasonal drivers of human..., WT, NIH | Laboratory CoreWT| Seasonal drivers of human movement and aggregation in a changing climate: consequences for infectious disease dynamics and control ,WT ,NIH| Laboratory CoreLloyd, Christopher T.; Chamberlain, Heather; Kerr, David; Yetman, Greg; Pistolesi, Linda; Stevens, Forrest R.; Gaughan, Andrea E.; Nieves, Jeremiah J.; Hornby, Graeme; Kytt MacManus; Parmanand Sinha; Bondarenko, Maksym; Sorichetta, Alessandro; Tatem, Andrew J.;Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal scales. This is in support of measurement and monitoring of UN Sustainable Development Goals and related agendas. In response to these agendas, a method has been developed to assemble and harmonise a unique, open access, archive of geospatial datasets. Datasets are provided as global, annual time series, where pertinent at the timescale of population analyses and where data is available, for use in the construction of population distribution layers. The archive includes sub-national census-based population estimates, matched to a geospatial layer denoting administrative unit boundaries, and a number of co-registered gridded geospatial factors that correlate strongly with population presence and density. Here, we describe these harmonised datasets and their limitations, along with the production workflow. Further, we demonstrate applications of the archive by producing multi-temporal gridded population outputs for Africa and using these to derive health and development metrics. The geospatial archive is available at https://doi.org/10.5258/SOTON/WP00650.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 27 Jun 2018 EnglishPublisher:Dryad Funded by:WT, IRC, EC | BEANWT ,IRC ,EC| BEANMartiniano, Rui; Cassidy, Lara M.; Ó'Maoldúin, Ros; McLaughlin, Russell; Silva, Nuno M.; Manco, Licinio; Fidalgo, Daniel; Pereira, Tania; Coelho, Maria J.; Serra, Miguel; Burger, Joachim; Parreira, Rui; Moran, Elena; Valera, Antonio C.; Porfirio, Eduardo; Boaventura, Rui; Silva, Ana M.; Bradley, Daniel G.;doi: 10.5061/dryad.g9f5r
We analyse new genomic data (0.05–2.95x) from 14 ancient individuals from Portugal distributed from the Middle Neolithic (4200–3500 BC) to the Middle Bronze Age (1740–1430 BC) and impute genomewide diploid genotypes in these together with published ancient Eurasians. While discontinuity is evident in the transition to agriculture across the region, sensitive haplotype-based analyses suggest a significant degree of local hunter-gatherer contribution to later Iberian Neolithic populations. A more subtle genetic influx is also apparent in the Bronze Age, detectable from analyses including haplotype sharing with both ancient and modern genomes, D-statistics and Y-chromosome lineages. However, the limited nature of this introgression contrasts with the major Steppe migration turnovers within third Millennium northern Europe and echoes the survival of non-Indo-European language in Iberia. Changes in genomic estimates of individual height across Europe are also associated with these major cultural transitions, and ancestral components continue to correlate with modern differences in stature. Index for VCF fileIndex for VCF filepost_imputation_Martiniano_et_al_2017_public.vcf.gz.tbiVCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples.VCF file containing imputed genotype data belonging to 67 newly sequenced and publicly available ancient samples which we analysed in Martiniano et al. (2017).post_imputation_Martiniano_et_al_2017_public.vcf.gzREADME_Martiniano_et_al_2017Description of the methods used for genotype imputation.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 15visibility views 15 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2018Embargo end date: 19 Mar 2018 EnglishPublisher:Dryad Funded by:UKRI | Deciphering dog domestica..., UKRI | Deciphering dog domestica..., WT | Human Adaptation to Chang... +4 projectsUKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,UKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,WT| Human Adaptation to Changing Diet and Infectious Disease Loads, from the Origins of Agriculture to the Present. ,EC| BEAN ,WT| Domestic animals as a model to understand the relationship between deleterious mutations, demography and disease ,EC| UNDEAD ,NSERCAuthors: Frantz, Laurent A. F.; Rudzinski, Anna; Nugraha, Abang Mansyursyah Surya; Evin, Allowen; +38 AuthorsFrantz, Laurent A. F.; Rudzinski, Anna; Nugraha, Abang Mansyursyah Surya; Evin, Allowen; Burton, James; Hulme-Beaman, Ardern; Linderholm, Anna; Barnett, Ross; Vega, Rodrigo; Irving-Pease, Evan K.; Haile, James; Allen, Richard; Leus, Kristin; Shephard, Jill; Hillyer, Mia; Gillemot, Sarah; van den Hurk, Jeroen; Ogle, Sharron; Atofanei, Cristina; Thomas, Mark G.; Johansson, Friederike; Mustari, Abdul Haris; Williams, John; Mohamad, Kusdiantoro; Damayanti, Chandramaya Siska; Wiryadi, Ita Djuwita; Obbles, Dagmar; Mona, Stephano; Day, Hally; Yasin, Muhammad; Meker, Stefan; McGuire, Jimmy A.; Evans, Ben J.; von Rintelen, Thomas; Ho, Simon Y. W.; Searle, Jeremy B.; Kitchener, Andrew C.; Macdonald, Alastair A.; Shaw, Darren J.; Hall, Robert; Galbusera, Peter; Larson, Greger;doi: 10.5061/dryad.dv322
The high degree of endemism on Sulawesi has previously been suggested to have vicariant origins, dating back 40 Myr ago. Recent studies, however, suggest that much of Sulawesi’s fauna assembled over the last 15 Myr. Here, we test the hypothesis that more recent uplift of previously submerged portions of land on Sulawesi promoted diversification, and that much of its faunal assemblage is much younger than the island itself. To do so, we combined palaeogeographical reconstructions with genetic and morphometric data sets derived from Sulawesi’s three largest mammals: the Babirusa, Anoa, and Sulawesi warty pig. Our results indicate that although these species most likely colonized the area that is now Sulawesi at different times (14 Myr ago to 2-3 Myr ago), they experienced an almost synchronous expansion from the central part of the island. Geological reconstructions indicate that this area was above sea level for most of the last 4 Myr, unlike most parts of the island. We conclude that emergence of land on Sulawesi (~1–2 Myr) may have allowed species to expand synchronously. Altogether, our results indicate that the establishment of the highly endemic faunal assemblage on Sulawesi was driven by geological events over the last few million years. Anoa mtDNAFasta files containing Anoa mtDNA dataAnoa_cytb.fastaAnoa microsatelliteTSV files containing Anoa microsatellite dataAnoa_microsat.tsvBabirusa mtDNAFasta files containing Babirusa mtDNA dataBabirusa_dloop.fastaBabirusa microsatelliteTSV files containing Babirusa microsatellite dataBabirusa_microsat.tsvSWP mtDNAFasta files containing SWP mtDNA dataSus_dloop.fastaSWP microsatelliteTSV files containing SWP microsatellite dataSus_microsat.tsvCentroid size of lower second of Babirusa and SWPCentroid size for the lower M2BabSus-lowerM2-CS.NTSShape of lower second molar of Babirusa and SWPShape coordinates after superimposition for the lower M2BabSus-lowerM2-aligned.TPSSample list for second lower molar TPS and NTS filesBabSus-lowerM2-ind.csvShape of third second molar of Babirusa and SWPShape coordinates after superimposition for the lower M3BabSus-lowerM3-aligned.TPSCentroid size of lower third molar of Babirusa and SWPCentroid size for the lower M3BabSus-lowerM3-CS.NTSSample list for third lower molar TPS and NTS filesBabSus-lowerM3-CS-ind.csvTable S1Sample information for all three speciesTable_S1.xlsx
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 16visibility views 16 download downloads 9 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Collection 2018Publisher:Figshare Funded by:UKRI | Deciphering dog domestica..., WT | Human Adaptation to Chang..., UKRI | Deciphering dog domestica... +4 projectsUKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,WT| Human Adaptation to Changing Diet and Infectious Disease Loads, from the Origins of Agriculture to the Present. ,UKRI| Deciphering dog domestication through a combined ancient DNA and geometric morphometric approach ,EC| UNDEAD ,EC| BEAN ,WT| Domestic animals as a model to understand the relationship between deleterious mutations, demography and disease ,NSERCAuthors: Frantz, Laurent A. F.; Rudzinski, Anna; Abang Mansyursyah Surya Nugraha; Allowen Evin; +38 AuthorsFrantz, Laurent A. F.; Rudzinski, Anna; Abang Mansyursyah Surya Nugraha; Allowen Evin; Burton, James; Ardern Hulme-Beaman; Linderholm, Anna; Barnett, Ross; Vega, Rodrigo; Irving-Pease, Evan K.; Haile, James; Allen, Richard; Leus, Kristin; Shephard, Jill; Hillyer, Mia; Gillemot, Sarah; Hurk, Jeroen Van Den; Ogle, Sharron; Atofanei, Cristina; Thomas, Mark G.; Johansson, Friederike; Mustari, Abdul Haris; Williams, John; Kusdiantoro Mohamad; Chandramaya Siska Damayanti; Wiryadi, Ita Djuwita; Obbles, Dagmar; Stephano Mona; Hally Day; Yasin, Muhammad; Meker, Stefan; McGuire, Jimmy A.; Evans, Ben J.; Rintelen, Thomas Von; Ho, Simon Y. W.; Searle, Jeremy B.; Kitchener, Andrew C.; Macdonald, Alastair A.; Shaw, Darren J.; Hall, Robert; Galbusera, Peter; Larson, Greger;The high degree of endemism on Sulawesi has previously been suggested to have vicariant origins, dating back 40 Ma. Recent studies, however, suggest that much of Sulawesi's fauna assembled over the last 15 Myr. Here, we test the hypothesis that more recent uplift of previously submerged portions of land on Sulawesi promoted diversification and that much of its faunal assemblage is much younger than the island itself. To do so, we combined palaeogeographical reconstructions with genetic and morphometric datasets derived from Sulawesi's three largest mammals: the Babirusa, Anoa and Sulawesi warty pig. Our results indicate that although these species most likely colonized the area that is now Sulawesi at different times (14 Ma to 2–3 Ma), they experienced an almost synchronous expansion from the central part of the island. Geological reconstructions indicate that this area was above sea level for most of the last 4 Myr, unlike most parts of the island. We conclude that emergence of land on Sulawesi (approx. 1–2 Myr) may have allowed species to expand synchronously. Altogether, our results indicate that the establishment of the highly endemic faunal assemblage on Sulawesi was driven by geological events over the last few million years.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.4040687.v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.4040687.v2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:NIH | Joint Center for Structur..., WT, NIH | Center for Membrane Prote... +9 projectsNIH| Joint Center for Structural Genomics ,WT ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,NIH| JCIMPT-Complexes ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| GPCR Network ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NSF| Facility Support: High-Resolution X-ray Computed Tomography LaboratoryAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Archaeoraptor original 16bit data, resampled as cubic voxels 1441 slices; TIF format; 231 - 401 Kb each Voxel dimension X = 0.2637 mm Voxel dimension Y = 0.2637 mm Voxel dimension Z = 0.2637 mm These data are 16bit unleveled TIFF files and may appear black in some image viewers (see Usage Notes)
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d43&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d43&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:WT, NIH | Prokaryotic Expression, NSF | Biology with X-ray Lasers +9 projectsWT ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| GPCR Network ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,NIH| Joint Center for Structural Genomics ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NSF| Facility Support: High-Resolution X-ray Computed Tomography Laboratory ,NIH| JCIMPT-ComplexesAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Confuciusornis original 16bit data, resampled as cubic voxels 1295 slices; TIF format; 302 - 567 Kb each Voxel dimension X = 0.2148 mm Voxel dimension Y = 0.2148 mm Voxel dimension Z = 0.2148 mm These data are 16bit unleveled TIFF files and may appear black in some image viewers (see Usage Notes)
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d55.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d55.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2016Publisher:Figshare Funded by:NSF | DLI-Phase 2: A Digital Li..., WT, NIH | Prokaryotic Expression +9 projectsNSF| DLI-Phase 2: A Digital Library of Vertebrate Morphology, Using High-Resolution X-ray CT ,WT ,NIH| Prokaryotic Expression ,NSF| Biology with X-ray Lasers ,NSF| Facility Support: High-Resolution X-ray Computed Tomography Laboratory ,NIH| Center for Membrane Proteins in Infectious Diseases (MPID) ,SFI| Membrane Structural and Functional Biology: Tackling communicable and non-communicable diseases at the membrane level. ,NIH| GPCR Network ,SNSF| Structural impact of pathological mutations on the GPCR rhodopsin and its complex with arrestin ,NIH| MOLECULAR GENETIC ANALYSIS OF THE DROSOPHILA 205K MAP ,NIH| Joint Center for Structural Genomics ,NIH| JCIMPT-ComplexesAuthors: Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Rowe, Timothy B.; Ketcham, Richard A.; Colbert, Matthew W.;Confuciusornis slab - 3D roll showing distribution of voids in translucent matrix
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d57&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.6084/m9.figshare.c.1612235_d57&type=result"></script>'); --> </script>
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