cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5053122
title: Genetic variation influencing DNA methylation provides new insights into the molecular pathways regulating genomic function - Selected Supplementary Tables

description: <strong>Selected Supplementary Tables - ST5, 7, 8 and 9</strong> <strong>Supplementary Table 5. Cosmopolitan results. </strong>Cosmopolitan SNP-CpG associations identified through genome-wide association amongst Europeans and South Asians. <strong>Supplementary Table 7. Cross-tissue replication.</strong> Results for further testing of the 11,165,559 cosmopolitan SNP-CpG associations identified (by genome-wide association in blood), in 4 isolated white cell subsets (CD4+ lymphocytes, CD8+ lymphocytes, monocytes and neutrophils), in adipocytes isolated from subcutaneous adipose tissue or visceral adipose tissue, and in whole adipose tissue. <strong>Supplementary Table 8. Conditional analysis.</strong> Results of conditional analysis to identify SNPs independently associated with each of the ~360K CpG sites tested. <strong>Supplementary Table 9. Sentinel SNPs and CpGs.</strong> Results of R2 pruning and locus merging to identify discrete genetic and methylation loci that are associated, and their respective sentinel SNPs and sentinel CpG sites. Other files (e.g. annotation files and 'intermediate' processing files) referenced in our code are also provided.
DOI: 10.17028/rd.lboro.15164358.v1
title: Supplementary Information Files for Body mapping of regional sweat distribution in young and older males

description: Supplementary Information Files for Body mapping of regional sweat distribution in young and older males<br>Purpose Given the pressing impact of global warming and its detrimental effect on the health of older populations, understanding age-related changes in thermoregulatory function is essential. Age differences in regional sweat distribution have been observed previously, but given the typically small measurement areas assessed, the development of whole body sweat maps for older individuals is required. Therefore, this study investigated age-related differences in regional sweat distribution in a hot environment (32 °C/50%RH) in young and older adults, using a body mapping approach. Methods Technical absorbent pads were applied to the skin of 14 young (age 24 ± 2 years) and 14 older (68 ± 5 years) males to measure regional sweat rate (RSR) at rest (30 min) and during exercise (30 min), at a fixed heat production (200 W m−2). Gastrointestinal (Tgi) and skin temperature (Tsk), heart rate, thermal sensation, and thermal comfort were also measured. Results Whole body sweat maps showed that despite equal heat production, healthy older males had significantly lower gross sweat loss (GSL) than the young and significantly lower RSR at almost all body regions at rest and at the hands, legs, ankles, and feet during exercise. The lower sweat loss in the older group coincided with a greater increase in Tgi and a consistently higher Tsk at the legs, despite subjectively feeling slightly cooler than younger individuals. Conclusion These findings support the evidence of age-related deterioration in both autonomic and subjective responses in the heat and highlight the lower extremities as the most affected body region.<br>
DOI: 10.17028/rd.lboro.15164358
title: Supplementary Information Files for Body mapping of regional sweat distribution in young and older males

description: Supplementary Information Files for Body mapping of regional sweat distribution in young and older males<br>Purpose Given the pressing impact of global warming and its detrimental effect on the health of older populations, understanding age-related changes in thermoregulatory function is essential. Age differences in regional sweat distribution have been observed previously, but given the typically small measurement areas assessed, the development of whole body sweat maps for older individuals is required. Therefore, this study investigated age-related differences in regional sweat distribution in a hot environment (32 °C/50%RH) in young and older adults, using a body mapping approach. Methods Technical absorbent pads were applied to the skin of 14 young (age 24 ± 2 years) and 14 older (68 ± 5 years) males to measure regional sweat rate (RSR) at rest (30 min) and during exercise (30 min), at a fixed heat production (200 W m−2). Gastrointestinal (Tgi) and skin temperature (Tsk), heart rate, thermal sensation, and thermal comfort were also measured. Results Whole body sweat maps showed that despite equal heat production, healthy older males had significantly lower gross sweat loss (GSL) than the young and significantly lower RSR at almost all body regions at rest and at the hands, legs, ankles, and feet during exercise. The lower sweat loss in the older group coincided with a greater increase in Tgi and a consistently higher Tsk at the legs, despite subjectively feeling slightly cooler than younger individuals. Conclusion These findings support the evidence of age-related deterioration in both autonomic and subjective responses in the heat and highlight the lower extremities as the most affected body region.<br>
DOI: 10.5281/zenodo.5196195
title: Real-time GNSS troposphere products: ZTD and gradients - hurricane Lorenzo case study

description: This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute for a subset of EPN stations during two test periods (21 days long each): 1) Day of year (DoY) 201 - 221, 2019 2) DoY 266 - 286, 2019. The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration. For convenience, products are stored in 2 formats (but each contains identical data): 1. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one test period. 2. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.
DOI: 10.5281/zenodo.5196194
title: Real-time GNSS troposphere products: ZTD and gradients - hurricane Lorenzo case study

description: This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute for a subset of EPN stations during two test periods (21 days long each): 1) Day of year (DoY) 201 - 221, 2019 2) DoY 266 - 286, 2019. The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration. For convenience, products are stored in 2 formats (but each contains identical data): 1. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one test period. 2. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.
DOI: 10.5281/zenodo.5190716
title: Real-time ZTD and gradients from 161 EPN stations; year 2020

description: This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute over the entire year 2020 for 161 EPN (http://epncb.oma.be/) stations. The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration, with the exception that only GPS and Galileo observations were considered. For convenience, products are stored in 3 formats (but each contains identical data): 1. Standard Matlab MAT files. Each file contains a single table array (Matlab format) with the complete set of estimated parameters for a single station. Table columns are labeled and self-explanatory. A comma-delimited text file can be obtained using the in-build Matlab function "writetable.m". 2. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one month. 3. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station. For visualization see: January https://youtu.be/oU_JaSnhoYI February https://youtu.be/O2LnWOjudGA March https://youtu.be/JVvO25oYcV8 April https://youtu.be/2wqY7BKnw8g May https://youtu.be/XY62BMSlbT8 June https://youtu.be/37cxhQ-0Y7U July https://youtu.be/MSJVtC-DnVM August https://youtu.be/lfG2GnrYiBo September https://youtu.be/CUrdDYr_lOY October https://youtu.be/pKPsTjKmvtE November https://youtu.be/s5gbtEdwiSM December https://youtu.be/rrn1SuzlM2k
DOI: 10.5281/zenodo.5190715
title: Real-time ZTD and gradients from 161 EPN stations; year 2020

description: This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute over the entire year 2020 for 161 EPN (http://epncb.oma.be/) stations. The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration, with the exception that only GPS and Galileo observations were considered. For convenience, products are stored in 3 formats (but each contains identical data): 1. Standard Matlab MAT files. Each file contains a single table array (Matlab format) with the complete set of estimated parameters for a single station. Table columns are labeled and self-explanatory. A comma-delimited text file can be obtained using the in-build Matlab function "writetable.m". 2. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one month. 3. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station. For visualization see: January https://youtu.be/oU_JaSnhoYI February https://youtu.be/O2LnWOjudGA March https://youtu.be/JVvO25oYcV8 April https://youtu.be/2wqY7BKnw8g May https://youtu.be/XY62BMSlbT8 June https://youtu.be/37cxhQ-0Y7U July https://youtu.be/MSJVtC-DnVM August https://youtu.be/lfG2GnrYiBo September https://youtu.be/CUrdDYr_lOY October https://youtu.be/pKPsTjKmvtE November https://youtu.be/s5gbtEdwiSM December https://youtu.be/rrn1SuzlM2k
DOI: 10.5281/zenodo.5195801
title: Codes and dataset used in the manuscript entitled "Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions"

description: This contains the codes and dataset for the manuscript entitled "Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions". Detailed information about the dataset is described in the Readme.txt file.
DOI: 10.5281/zenodo.3560705
title: Codes and dataset used in the manuscript entitled "Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions"

description: This contains the codes and dataset for the manuscript entitled "Quantifying time-variant travel time distribution by multi-fidelity model in hillslope under nonstationary hydrologic conditions". Detailed information about the dataset is described in the Readme.txt file.
DOI: 10.17028/rd.lboro.15164385
title: Supplementary Information Files for An open source toolkit for 3D printed fluidics

description: Supplementary Information Files for An open source toolkit for 3D printed fluidics<br>As 3D printing technologies become more accessible, chemists are beginning to design and develop their own bespoke printable devices particularly applied to the field of flow chemistry. Designing functional flow components can often be a lengthy and laborious process requiring complex 3D modelling and multiple design iterations. In this work, we present an easy to follow design workflow for minimising the complexity of this design optimization process. The workflow follows the development of a 3D printable ‘toolkit’ of common fittings and connectors required for constructing basic flow chemistry configurations. The toolkit components consist of male threaded nuts, junction connectors and a Luer adapter. The files have themselves been made freely available and open source. The low cost associated with the toolkit may encourage educators to incorporate flow chemistry practical work into their syllabus such that students may be introduced to the principles of flow chemistry earlier on in their education and furthermore, may develop an early appreciation of the benefits of 3D printing in scientific research. In addition to the printable toolkit, the use of the 3D modelling platform – Rhino3D has been demonstrated for its application in fluidic reactor chip design modification. The simple user interface of the programme reduces the complexity and workload involved in printable fluidic reactor design.<br>
DOI: 10.17028/rd.lboro.15164385.v1
title: Supplementary Information Files for An open source toolkit for 3D printed fluidics

description: Supplementary Information Files for An open source toolkit for 3D printed fluidics<br>As 3D printing technologies become more accessible, chemists are beginning to design and develop their own bespoke printable devices particularly applied to the field of flow chemistry. Designing functional flow components can often be a lengthy and laborious process requiring complex 3D modelling and multiple design iterations. In this work, we present an easy to follow design workflow for minimising the complexity of this design optimization process. The workflow follows the development of a 3D printable ‘toolkit’ of common fittings and connectors required for constructing basic flow chemistry configurations. The toolkit components consist of male threaded nuts, junction connectors and a Luer adapter. The files have themselves been made freely available and open source. The low cost associated with the toolkit may encourage educators to incorporate flow chemistry practical work into their syllabus such that students may be introduced to the principles of flow chemistry earlier on in their education and furthermore, may develop an early appreciation of the benefits of 3D printing in scientific research. In addition to the printable toolkit, the use of the 3D modelling platform – Rhino3D has been demonstrated for its application in fluidic reactor chip design modification. The simple user interface of the programme reduces the complexity and workload involved in printable fluidic reactor design.<br>
DOI: 10.34881/rtxbzn
title: Könnun á kosningaþátttöku í sveitarstjórnarkosningum 2014
title: Survey on voter participation in the Icelandic local elections 2014

description: Í sveitarstjórnarkosningunum í maí árið 2014 var kjörsókn í landinu minni en nokkru sinni fyrr. Á landinu öllu varð heildarkjörsóknin 66,5% og í þremur stærstu sveitarfélögum landsins var hún einungis um 60 prósent. Óhætt er að fullyrða að fáa hefði órað fyrir jafn mikilli minnkun kjörsóknar á jafn skömmum tíma. Að vísu hafði verið leitt að því líkum að hina dræmu kjörsókn í kosningunum árið 2010 mætti að einhverju leyti rekja til áhrifa frá bankahruninu árið 2008 og útgáfu Rannsóknarskýrslu Alþingis sem kom út sex vikum fyrir kosningarnar. Áframhaldandi fall kjörsóknar í ár (2014) kom engu að síður mjög mörgum á óvart. Í ljósi þessarar óheillavænlegu þróunar varð það úr að ráðist yrði í að gerð könnunar á kosningaþátttöku þar sem leitað yrði skýringa á þessari þróun – ekki síst hvað gæti skýrt hina dræmu kjörsókn vorið 2014.
DOI: 10.34881/5agwmk
title: Þátttaka almennings í sóttvarnaraðgerðum vegna COVID-19 faraldursins í apríl 2020 til mars 2021
title: Public participation in COVID-19 epidemic prevention measures in April 2020 to March 2021

description: Félagsvísindastofnun Háskóla Íslands hefur í samstarfi við fræðafólk á Félagsvísindasviði Háskóla Íslands kannað þátttöku og afstöðu Íslendinga til aðgerða almannavarna til að hefta útbreiðslu COVID-19. Könnun var send daglega til 200-1000 meðlima netpanels Félagsvísindastofnunar á meðan faraldurinn stóð yfir. Markmiðið var að kortleggja hegðun og afstöðu almennings með tilliti til aðgerða almannavarna og greina hvernig afstaða fólks til aðgerðanna breytist yfir tíma. Gagnasafn þetta tekur til tímabilsins 1. apríl 2020 til 26. mars 2021 og inniheldur öll gögn frá upphafi mælinganna á vegum Félagsvísindastofnunar.
DOI: 10.5517/ccdc.csd.cc26n8w1
title: CCDC 2045283: Experimental Crystal Structure Determination

description: Related Article: Qing-Dou Xu, Lin-Tao Zhang, Chen Zeng, Yu-Ying Yang, Shao-Dong Su, Sheng-Min Hu, Xin-Tao Wu, Tian-Lu Sheng|2021|Chem.-Eur.J.|27|11183|doi:10.1002/chem.202101194
DOI: 10.5517/ccdc.csd.cc26n8x2
title: CCDC 2045284: Experimental Crystal Structure Determination

description: Related Article: Qing-Dou Xu, Lin-Tao Zhang, Chen Zeng, Yu-Ying Yang, Shao-Dong Su, Sheng-Min Hu, Xin-Tao Wu, Tian-Lu Sheng|2021|Chem.-Eur.J.|27|11183|doi:10.1002/chem.202101194
DOI: 10.5517/ccdc.csd.cc26n8y3
title: CCDC 2045285: Experimental Crystal Structure Determination

description: Related Article: Qing-Dou Xu, Lin-Tao Zhang, Chen Zeng, Yu-Ying Yang, Shao-Dong Su, Sheng-Min Hu, Xin-Tao Wu, Tian-Lu Sheng|2021|Chem.-Eur.J.|27|11183|doi:10.1002/chem.202101194
DOI: 10.5517/ccdc.csd.cc26n8z4
title: CCDC 2045286: Experimental Crystal Structure Determination

description: Related Article: Qing-Dou Xu, Lin-Tao Zhang, Chen Zeng, Yu-Ying Yang, Shao-Dong Su, Sheng-Min Hu, Xin-Tao Wu, Tian-Lu Sheng|2021|Chem.-Eur.J.|27|11183|doi:10.1002/chem.202101194
DOI: 10.5517/ccdc.csd.cc26n906
title: CCDC 2045287: Experimental Crystal Structure Determination

description: Related Article: Qing-Dou Xu, Lin-Tao Zhang, Chen Zeng, Yu-Ying Yang, Shao-Dong Su, Sheng-Min Hu, Xin-Tao Wu, Tian-Lu Sheng|2021|Chem.-Eur.J.|27|11183|doi:10.1002/chem.202101194
DOI: 10.5281/zenodo.5195219
title: Wikidata Dump Wikidata上所有occupation为association football player (Q937857)的人

description: RDF dump of wikidata produced with wdumps. 检索到Wikidata上所有occupation为association football player (Q937857)的人<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.5195218
title: Wikidata Dump Wikidata上所有occupation为association football player (Q937857)的人

description: RDF dump of wikidata produced with wdumps. 检索到Wikidata上所有occupation为association football player (Q937857)的人<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5517/ccdc.csd.cc2748b0
title: CCDC 2059681: Experimental Crystal Structure Determination

description: Related Article: Guang-Li Wang, Jun Wang, Luyi Zhou, Mi Zhou, Xiaoxiong Wang, Shan-He Zhou, Lu Lu, Manoj Trivedi, Abhinav Kumar|2021|Dyes Pigm.|195|109695|doi:10.1016/j.dyepig.2021.109695
DOI: 10.5517/ccdc.csd.cc2748c1
title: CCDC 2059682: Experimental Crystal Structure Determination

description: Related Article: Guang-Li Wang, Jun Wang, Luyi Zhou, Mi Zhou, Xiaoxiong Wang, Shan-He Zhou, Lu Lu, Manoj Trivedi, Abhinav Kumar|2021|Dyes Pigm.|195|109695|doi:10.1016/j.dyepig.2021.109695
DOI: 10.5517/ccdc.csd.cc2748d2
title: CCDC 2059683: Experimental Crystal Structure Determination

description: Related Article: Guang-Li Wang, Jun Wang, Luyi Zhou, Mi Zhou, Xiaoxiong Wang, Shan-He Zhou, Lu Lu, Manoj Trivedi, Abhinav Kumar|2021|Dyes Pigm.|195|109695|doi:10.1016/j.dyepig.2021.109695
DOI: 10.5517/ccdc.csd.cc2748f3
title: CCDC 2059684: Experimental Crystal Structure Determination

description: Related Article: Guang-Li Wang, Jun Wang, Luyi Zhou, Mi Zhou, Xiaoxiong Wang, Shan-He Zhou, Lu Lu, Manoj Trivedi, Abhinav Kumar|2021|Dyes Pigm.|195|109695|doi:10.1016/j.dyepig.2021.109695
DOI: 10.5517/ccdc.csd.cc274g95
title: CCDC 2059866: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201
DOI: 10.5517/ccdc.csd.cc274gc7
title: CCDC 2059868: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201
DOI: 10.5517/ccdc.csd.cc274gd8
title: CCDC 2059869: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201
DOI: 10.5517/ccdc.csd.cc274gf9
title: CCDC 2059870: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201
DOI: 10.5517/ccdc.csd.cc274ggb
title: CCDC 2059871: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201
DOI: 10.5517/ccdc.csd.cc277q07
title: CCDC 2062988: Experimental Crystal Structure Determination

description: Related Article: Liangyong Mei, Jules Moutet, Savannah M. Stull, Thomas L. Gianetti|2021|J.Org.Chem.|86|10640|doi:10.1021/acs.joc.1c01313
DOI: 10.5517/ccdc.csd.cc277q18
title: CCDC 2062989: Experimental Crystal Structure Determination

description: Related Article: Liangyong Mei, Jules Moutet, Savannah M. Stull, Thomas L. Gianetti|2021|J.Org.Chem.|86|10640|doi:10.1021/acs.joc.1c01313
DOI: 10.5517/ccdc.csd.cc277q29
title: CCDC 2062990: Experimental Crystal Structure Determination

description: Related Article: Liangyong Mei, Jules Moutet, Savannah M. Stull, Thomas L. Gianetti|2021|J.Org.Chem.|86|10640|doi:10.1021/acs.joc.1c01313
DOI: 10.5517/ccdc.csd.cc277q3b
title: CCDC 2062991: Experimental Crystal Structure Determination

description: Related Article: Liangyong Mei, Jules Moutet, Savannah M. Stull, Thomas L. Gianetti|2021|J.Org.Chem.|86|10640|doi:10.1021/acs.joc.1c01313
DOI: 10.5517/ccdc.csd.cc278g44
title: CCDC 2063705: Experimental Crystal Structure Determination

description: Related Article: Ko Urushibara, Yann Ferrand, Zhiwei Liu, Kosuke Katagiri, Masatoshi Kawahata, Estelle Morvan, Ryan D'Elia, Vojislava Pophristic, Aya Tanatani, Ivan Huc|2021|Chem.-Eur.J.|27|11205|doi:10.1002/chem.202101201