cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3472808.v1
title: Late Ediacaran crustal thickening in Iran: Geochemical and isotopic constraints from the ~550 Ma Mishu granitoids (northwest Iran)

description: The aim of this article is to examine the geochemistry and geochronology of the Cadomian Mishu granites from northwest Iran, in order to elucidate petrogenesis and their role in the evolution of the Cadomian crust of Iran. The Mishu granites mainly consist of two-mica granites associated with scarce outcrops of tonalite, amphibole granodiorite, and diorite. Leucogranitic dikes locally crosscut the Mishu granites. Two-mica granites show S-type characteristics whereas amphibole granodiorite, tonalities, and diorites have I-type signatures. The I-type granites show enrichment in large-ion lithophile elements (e.g. Rb, Ba and K) and depletion in high field strength elements (e.g. Nb, Ti and Ta). These characteristics show that these granites have been formed along an ancient, fossilized subduction zone. The S-type granites have high K, Rb, Cs (and other large ion lithophile elements) contents, resembling collision-related granites. U–Pb zircon dating of the Mishu rocks yielded <sup>238</sup>U/<sup>206</sup>Pb crystallization ages of ca. 550 Ma. Moreover, Rb–Sr errorchron shows an early Ediacaran age (547 ± 84 Ma) for the Mishu igneous rocks. The two-mica granites (S-type granites) show high <sup>87</sup>Sr/<sup>86</sup>Sr<sub>(i)</sub> ratios, ranging from 0.7068 to 0.7095. Their <i>ɛ</i>Nd values change between −4.2 and −4.6. Amphibole granitoids and diorites (I-type granites) are characterized by relatively low <sup>87</sup>Sr/<sup>86</sup>Sr<sub>(i)</sub> ratios (0.7048–0.7079) and higher values of <i>ɛ</i>Nd (−0.8 to −4.2). Leucogranitic dikes have quite juvenile signature, with <i>ɛ</i>Nd values ranging from +1.1 to +1.4 and Nd model ages (T<sub>DM</sub>) from 1.1 to 1.2 Ga. The isotopic data suggests interaction of juvenile, mantle-derived melts with old continental crust to be the main factor for the generation of the Mishu granites. Interaction with older continental crust is also confirmed by the presence of abundant inherited zircon cores. The liquid-line of descend in the Harker diagrams suggests fractional crystallization was also a predominant mechanism during evolution of the Mishu I-type granites. The zircon U–Pb ages, whole rock trace elements, and Sr–Nd isotope data strongly indicate the similarities between the Mishu Cadomian granites with other late Neoproterozoic–early Cambrian (600–520 Ma) granites across Iran and the surrounding areas such as Turkey and Iberia. The generation of the Mishu I-type granites could be related to the subduction of the Proto-Tethyan Ocean during Cadomian orogeny, through interaction between juvenile melts and old (Mesoproterozoic or Archaean) continental crust. The S-type granites are related to the pooling of the basaltic melts within the middle–upper parts of the thick continental crust and then partial melting of that crust.
DOI: 10.6084/m9.figshare.3472802
title: Geology, evaporative salt accumulation and geoecology at Springvale historic gold mine, Central Otago, New Zealand

description: The Springvale placer gold mine was developed in distal Pleistocene fan deposits that are dominated by auriferous gravel. The gravel was originally deposited in channels in Miocene mudstone. Mining has removed the gravel, exhuming the mudstone. The mudstone has since become an impermeable substrate for accumulation of evaporitic encrustations, with substrate slurry conductivities up to 20,000 µS. The predominant evaporitic minerals (halite, gypsum and calcite) are derived from marine aerosols in rain with some dissolution of soluble minerals in the sediments. Post-mining erosion of mudstone during rain events has formed muddy and silty outwash pans, which are repeatedly replenished from runoff and accumulate evaporitic salts. The pans have been the principal site of halophyte plant establishment where conductivities exceed 1000 µS. Substrates with conductivity &lt;1000 µS have generally been colonised by adventive plant species. Mudstone outcrops have remained unvegetated and continue to contribute sediment and salts to saline pans.
DOI: 10.6084/m9.figshare.3472802.v1
title: Geology, evaporative salt accumulation and geoecology at Springvale historic gold mine, Central Otago, New Zealand

description: The Springvale placer gold mine was developed in distal Pleistocene fan deposits that are dominated by auriferous gravel. The gravel was originally deposited in channels in Miocene mudstone. Mining has removed the gravel, exhuming the mudstone. The mudstone has since become an impermeable substrate for accumulation of evaporitic encrustations, with substrate slurry conductivities up to 20,000 µS. The predominant evaporitic minerals (halite, gypsum and calcite) are derived from marine aerosols in rain with some dissolution of soluble minerals in the sediments. Post-mining erosion of mudstone during rain events has formed muddy and silty outwash pans, which are repeatedly replenished from runoff and accumulate evaporitic salts. The pans have been the principal site of halophyte plant establishment where conductivities exceed 1000 µS. Substrates with conductivity &lt;1000 µS have generally been colonised by adventive plant species. Mudstone outcrops have remained unvegetated and continue to contribute sediment and salts to saline pans.
DOI: 10.6084/m9.figshare.3472799
title: Evidence for hybridisation in the Tynong Province granitoids, Lachlan Fold Belt, eastern Australia

description: The role of mafic–felsic magma mixing in the formation of granites is controversial. Field evidence in many granite plutons undoubtedly implies interaction of mafic (basaltic–intermediate) magma with (usually) much more abundant granitic magma, but the extent of such mixing and its effect on overall chemical features of the host intrusion are unclear. Late Devonian I-type granitoids of the Tynong Province in the western Lachlan Fold Belt, southeast Australia, show typical evidence for magma mingling and mixing, such as small dioritic stocks, hybrid zones with local host granite and ubiquitous microgranitoid enclaves. The latter commonly have irregular boundaries and show textural features characteristic of hybridisation, e.g. xenocrysts of granitic quartz and K-feldspars, rapakivi and antirapakivi textures, quartz and feldspar ocelli, and acicular apatite. Linear (well defined to diffuse) compositional trends for granites, hybrid zones and enclaves have been attributed to magma mixing but could also be explained by other mechanisms. Magmatic zircons of the Tynong and Toorongo granodiorites yield U–Pb zircon ages consistent with the known <i>ca</i> 370 Ma age of the province and preserve relatively unevolved ϵ<sub>Hf</sub> (averages for three samples are +6.9, +4.3 and +3.9). The range in zircon ϵ<sub>Hf</sub> in two of the three analysed samples (8.8 and 10.1 ϵ<sub>Hf</sub> units) exceeds that expected from a single homogeneous population (∼4 units) and suggests considerable Hf isotopic heterogeneity in the melt from which the zircon formed, consistent with syn-intrusion magma mixing. Correlated whole-rock Sr–Nd isotope data for the Tynong Province granitoids show a considerable range (0.7049–0.7074, ϵ<sub>Nd</sub> +1.2 to –4.7), which may map the hybridisation between a mafic magma and possibly multiple crustal magmas. Major-element variations for host granite, hybrid zones and enclaves in the large Tynong granodiorite show correlations with major-element compositions of the type expected from mixing of contrasting mafic and felsic magmas. However, chemical–isotopic correlations are poorly developed for the province as a whole, especially for <sup>87</sup>Sr/<sup>86</sup>Sr. In a magma mixing model, such complexities could be explained in terms of a dynamic mixing/mingling environment, with multiple mixing events and subsequent interactions between hybrids and superimposed fractional crystallisation. The results indicate that features plausibly attributed to mafic–felsic magma mixing exist at all scales within this granite province and suggest a major role for magma mixing/mingling in the formation of I-type granites.
DOI: 10.6084/m9.figshare.3472799.v1
title: Evidence for hybridisation in the Tynong Province granitoids, Lachlan Fold Belt, eastern Australia

description: The role of mafic–felsic magma mixing in the formation of granites is controversial. Field evidence in many granite plutons undoubtedly implies interaction of mafic (basaltic–intermediate) magma with (usually) much more abundant granitic magma, but the extent of such mixing and its effect on overall chemical features of the host intrusion are unclear. Late Devonian I-type granitoids of the Tynong Province in the western Lachlan Fold Belt, southeast Australia, show typical evidence for magma mingling and mixing, such as small dioritic stocks, hybrid zones with local host granite and ubiquitous microgranitoid enclaves. The latter commonly have irregular boundaries and show textural features characteristic of hybridisation, e.g. xenocrysts of granitic quartz and K-feldspars, rapakivi and antirapakivi textures, quartz and feldspar ocelli, and acicular apatite. Linear (well defined to diffuse) compositional trends for granites, hybrid zones and enclaves have been attributed to magma mixing but could also be explained by other mechanisms. Magmatic zircons of the Tynong and Toorongo granodiorites yield U–Pb zircon ages consistent with the known <i>ca</i> 370 Ma age of the province and preserve relatively unevolved ϵ<sub>Hf</sub> (averages for three samples are +6.9, +4.3 and +3.9). The range in zircon ϵ<sub>Hf</sub> in two of the three analysed samples (8.8 and 10.1 ϵ<sub>Hf</sub> units) exceeds that expected from a single homogeneous population (∼4 units) and suggests considerable Hf isotopic heterogeneity in the melt from which the zircon formed, consistent with syn-intrusion magma mixing. Correlated whole-rock Sr–Nd isotope data for the Tynong Province granitoids show a considerable range (0.7049–0.7074, ϵ<sub>Nd</sub> +1.2 to –4.7), which may map the hybridisation between a mafic magma and possibly multiple crustal magmas. Major-element variations for host granite, hybrid zones and enclaves in the large Tynong granodiorite show correlations with major-element compositions of the type expected from mixing of contrasting mafic and felsic magmas. However, chemical–isotopic correlations are poorly developed for the province as a whole, especially for <sup>87</sup>Sr/<sup>86</sup>Sr. In a magma mixing model, such complexities could be explained in terms of a dynamic mixing/mingling environment, with multiple mixing events and subsequent interactions between hybrids and superimposed fractional crystallisation. The results indicate that features plausibly attributed to mafic–felsic magma mixing exist at all scales within this granite province and suggest a major role for magma mixing/mingling in the formation of I-type granites.
DOI: 10.6084/m9.figshare.3472757
title: Data From: A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations

description: Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.
DOI: 10.5517/ccdc.csd.cc24xgbw
title: CCDC 1993558: Experimental Crystal Structure Determination

description: Related Article: Martin Petzold, Andre Günther, Peter G. Jones, Daniel B. Werz|2020|Chem.-Eur.J.|26|11119|doi:10.1002/chem.202001548
DOI: 10.6084/m9.figshare.3472757.v1
title: Data From: A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations

description: Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.
DOI: 10.5517/ccdc.csd.cc24xgcx
title: CCDC 1993559: Experimental Crystal Structure Determination

description: Related Article: Martin Petzold, Andre Günther, Peter G. Jones, Daniel B. Werz|2020|Chem.-Eur.J.|26|11119|doi:10.1002/chem.202001548
DOI: 10.6084/m9.figshare.3472754
title: Decay of linkage disequilibrium by physical distance between sites in basepairs for 10 fungal species.

description: <b>Linkage disequilibrium values (r<sup>2</sup>) as a function of distance between nucleotides across ten fungal species. NA = data not available. This is the raw data used to produce Figure 2 in the paper </b>doi:10.1098/rstb.2015.0540<b> </b>
DOI: 10.5517/ccdc.csd.cc259fmk
title: CCDC 2005068: Experimental Crystal Structure Determination

description: Related Article: Ming Li, Yi-Feng Qiu, Cui-Tian Wang, Xue-Song Li, Wan-Xu Wei, Yu-Zhao Wang, Qiao-Fei Bao, Ya-Nan Ding, Wei-Yu Shi, Yong-Min Liang|2020|Org.Lett.|22|6288|doi:10.1021/acs.orglett.0c02053
DOI: 10.6084/m9.figshare.3472754.v1
title: LD across species.txt

description: <b>Linkage disequilibrium values (r<sup>2</sup>) as a function of distance between nucleotides across ten fungal species. NA = data not available. This is the raw data used to produce Figure 2 in the referenced paper. </b>
DOI: 10.5517/ccdc.csd.cc24x8dr
title: CCDC 1993374: Experimental Crystal Structure Determination

description: Related Article: Felix Brosge, Johannes Florian Kochs, Mariela Bregu, Khai-Nghi Truong, Kari Rissanen, Carsten Bolm|2020|Org.Lett.|22|6667|doi:10.1021/acs.orglett.0c02504
DOI: 10.5517/ccdc.csd.cc25f36y
title: CCDC 2008589: Experimental Crystal Structure Determination

description: Related Article: Hao-Qiang Cao, Hao-Nan Liu, Zhe-Yuan Liu, Baokun Qiao, Fa-Guang Zhang, Jun-An Ma|2020|Org.Lett.|22|6414|doi:10.1021/acs.orglett.0c02229
DOI: 10.5517/ccdc.csd.cc25f37z
title: CCDC 2008590: Experimental Crystal Structure Determination

description: Related Article: Hao-Qiang Cao, Hao-Nan Liu, Zhe-Yuan Liu, Baokun Qiao, Fa-Guang Zhang, Jun-An Ma|2020|Org.Lett.|22|6414|doi:10.1021/acs.orglett.0c02229
DOI: 10.6084/m9.figshare.3472703
title: The simulated sEMG signals

description: The guideline to use the dataset.
DOI: 10.5517/ccdc.csd.cc25f44x
title: CCDC 2008618: Experimental Crystal Structure Determination

description: Related Article: Hao-Qiang Cao, Hao-Nan Liu, Zhe-Yuan Liu, Baokun Qiao, Fa-Guang Zhang, Jun-An Ma|2020|Org.Lett.|22|6414|doi:10.1021/acs.orglett.0c02229
DOI: 10.5517/ccdc.csd.cc25f841
title: CCDC 2008742: Experimental Crystal Structure Determination

description: Related Article: Ming Li, Yi-Feng Qiu, Cui-Tian Wang, Xue-Song Li, Wan-Xu Wei, Yu-Zhao Wang, Qiao-Fei Bao, Ya-Nan Ding, Wei-Yu Shi, Yong-Min Liang|2020|Org.Lett.|22|6288|doi:10.1021/acs.orglett.0c02053
DOI: 10.5517/ccdc.csd.cc25fq9n
title: CCDC 2009181: Experimental Crystal Structure Determination

description: Related Article: Qi Li, Yitao Wu, Yuezhou Liu, Liqing Shangguan, Bingbing Shi, Huangtianzhi Zhu|2020|Org.Lett.|22|6662|doi:10.1021/acs.orglett.0c02492
DOI: 10.5517/ccdc.csd.cc25h663
title: CCDC 2010604: Experimental Crystal Structure Determination

description: Related Article: Ying Hu, Miao Bai, Ying Yang, Jiangyan Tian, Qianghui Zhou|2020|Org.Lett.|22|6308|doi:10.1021/acs.orglett.0c02135
DOI: 10.5517/ccdc.csd.cc25h674
title: CCDC 2010605: Experimental Crystal Structure Determination

description: Related Article: Ying Hu, Miao Bai, Ying Yang, Jiangyan Tian, Qianghui Zhou|2020|Org.Lett.|22|6308|doi:10.1021/acs.orglett.0c02135
DOI: 10.5517/ccdc.csd.cc25hjs0
title: CCDC 2010932: Experimental Crystal Structure Determination

description: Related Article: Matthias Schmid, Kevin R. Sokol, Lukas A. Wein, Sofia Torres Venegas, Christina Meisenbichler, Klaus Wurst, Maren Podewitz, Thomas Magauer|2020|Org.Lett.|22|6526|doi:10.1021/acs.orglett.0c02296
DOI: 10.6084/m9.figshare.3472616
title: Publication records for top US researchers in 6 fields

description: This dataset lists the full publication and biographical records for 3,979 researchers in 6 distinct fields working at top U.S. institutions.<br><br>The file <i>full_researcher_data.csv</i> contains the list of all 3,979 researchers in csv format with the following fields:<br><strong><br>field</strong> - scientific discipline<br><strong></strong><strong>total_publications</strong> - Total number of publications <strong></strong><strong>short_name</strong> - Researchers abbreviated name as: [last name], [first and middle name initals]. Used for searching in the <b>authors</b> field in the file<i> full_publication_data.csv</i>.<br><strong></strong><b>full_name</b> - Researcher full name as: [Last name], [First Name] [Middle initials]<strong><br></strong><strong>phd_year</strong> - year of PhD completion<br><strong>gender</strong> - researcher gender as: M (male) or F (female)<strong><br>author_id</strong> - Index of researcher. Matches the <b>author_id</b> field in the file<i> full_publication_data.csv</i><strong><strong><br>university</strong></strong> - Institution of current employmentGender and PhD year are not available for all researchers.<br>Current employments are accurate as of June, 2010. total_pubs field show total number of publications published by the end of 2010.<br>The file <i>full_publication_data.csv</i> contains the list of all 417,609 publications in csv format with the following fields:<br><strong>title</strong> - publication title<strong><br></strong><strong>journal</strong> - publication journal<strong></strong><strong><strong><br></strong></strong><strong><strong>authors</strong></strong> - publication authors as a comma-separated list. Author syntax matches the <b>short_name</b> field in the file <b>full_researcher_data.csv</b>.<br><strong><strong>year</strong></strong> - publication year <br><strong>author_id</strong> -<strong> </strong>Index of researcher. Matches the <b>author_id</b> field in the file<i> full_researcher_data.csv</i><strong><br>abstract</strong> - publication abstract<strong><br></strong>
DOI: 10.6084/m9.figshare.3472616.v1
title: Publication records for top US researchers in 6 fields

description: This dataset lists the full publication and biographical records for 3,979 researchers in 6 distinct fields working at top U.S. institutions.<br><br>The file <i>full_researcher_data.csv</i> contains the list of all 3,979 researchers in csv format with the following fields:<br><strong><br>field</strong> - scientific discipline<br><strong></strong><strong>total_publications</strong> - Total number of publications <strong></strong><strong>short_name</strong> - Researchers abbreviated name as: [last name], [first and middle name initals]. Used for searching in the <b>authors</b> field in the file<i> full_publication_data.csv</i>.<br><strong></strong><b>full_name</b> - Researcher full name as: [Last name], [First Name] [Middle initials]<strong><br></strong><strong>phd_year</strong> - year of PhD completion<br><strong>gender</strong> - researcher gender as: M (male) or F (female)<strong><br>author_id</strong> - Index of researcher. Matches the <b>author_id</b> field in the file<i> full_publication_data.csv</i><strong><strong><br>university</strong></strong> - Institution of current employmentGender and PhD year are not available for all researchers.<br>Current employments are accurate as of June, 2010. total_pubs field show total number of publications published by the end of 2010.<br>The file <i>full_publication_data.csv</i> contains the list of all 417,609 publications in csv format with the following fields:<br><strong>title</strong> - publication title<strong><br></strong><strong>journal</strong> - publication journal<strong></strong><strong><strong><br></strong></strong><strong><strong>authors</strong></strong> - publication authors as a comma-separated list. Author syntax matches the <b>short_name</b> field in the file <b>full_researcher_data.csv</b>.<br><strong><strong>year</strong></strong> - publication year <br><strong>author_id</strong> -<strong> </strong>Index of researcher. Matches the <b>author_id</b> field in the file<i> full_researcher_data.csv</i><strong><br>abstract</strong> - publication abstract<strong><br></strong>
DOI: 10.6084/m9.figshare.3472589
title: Le. (2016). CAIR Best Presentaion, New Orleans (NOTES).pdf

description: Visual analytics: Exposing the past, understanding the present, and looking to the future Dan Ariely, founder of The Center for Advanced Hindsight once posted on Facebook, “Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it...” This is especially true in Higher Education as much of the work being done to organize, connect, and analyze big data is happening in the for profit sector. This multimedia presentation (video, photos, and text) has three goals. (1) Discuss how the field visual analytics is tackling the problem of analyzing big data. (2) Explore when visual analytics is superior and inferior to typical statistics. (3) Tactics and tools for Institutional Researchers to use in their everyday work to change data into actionable intelligence.
DOI: 10.6084/m9.figshare.3472589.v2
title: Le. (2016). CAIR Best Presentaion, New Orleans (NOTES).pdf

description: Visual analytics: Exposing the past, understanding the present, and looking to the future Dan Ariely, founder of The Center for Advanced Hindsight once posted on Facebook, “Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it...” This is especially true in Higher Education as much of the work being done to organize, connect, and analyze big data is happening in the for profit sector. This multimedia presentation (video, photos, and text) has three goals. (1) Discuss how the field visual analytics is tackling the problem of analyzing big data. (2) Explore when visual analytics is superior and inferior to typical statistics. (3) Tactics and tools for Institutional Researchers to use in their everyday work to change data into actionable intelligence.