cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10265885
title: Evaluating potential human health risks from modeled inhalation exposures to volatile organic compounds emitted from oil and gas operations

description: Some states and localities restrict siting of new oil and gas (O&G) wells relative to public areas. Colorado includes a 500-foot exception zone for building units, but it is unclear if that sufficiently protects public health from air emissions from O&G operations. To support reviews of setback requirements, this research examines potential health risks from volatile organic compounds (VOCs) released during O&G operations. We used stochastic dispersion modeling with published emissions for 47 VOCs (collected on-site during tracer experiments) to estimate outdoor air concentrations within 2,000 feet of hypothetical individual O&G facilities in Colorado. We estimated distributions of incremental acute, subchronic, and chronic inhalation non-cancer hazard quotients (HQs) and hazard indices (HIs), and inhalation lifetime cancer risks for benzene, by coupling modeled concentrations with microenvironmental penetration factors, human-activity diaries, and health-criteria levels. Estimated exposures to most VOCs were below health criteria at 500–2,000 feet. HQs were &lt; 1 for 43 VOCs at 500 feet from facilities, with lowest values for chronic exposures during O&G production. Hazard estimates were highest for acute exposures during O&G development, with maximum acute HQs and HIs &gt; 1 at most distances from facilities, particularly for exposures to benzene, 2- and 3-ethyltoluene, and toluene, and for hematological, neurotoxicity, and respiratory effects. Maximum acute HQs and HIs were &gt; 10 for highest-exposed individuals 500 feet from eight of nine modeled facilities during O&G development (and 2,000 feet from one facility during O&G flowback); hematologic toxicity associated with benzene exposure was the critical toxic effect. Estimated cancer risks from benzene exposure were &lt; 1.0 × 10<sup>−5</sup> at 500 feet and beyond. <i>Implications</i>: Our stochastic use of emissions data from O&G facilities, along with activity-pattern exposure modeling, provides new information on potential public-health impacts due to emissions from O&G operations. The results will help in evaluating the adequacy of O&G setback distances. For an assessment of human-health risks from exposures to air emissions near individual O&G sites, we have utilized a unique dataset of tracer-derived emissions of VOCs detected at such sites in two regions of intense oil-and-gas development in Colorado. We have coupled these emission stochastically with local meteorological data and population and time-activity data to estimate the potential for acute, subchronic, and chronic exposures above health-criteria levels due to air emissions near individual sites. These results, along with other pertinent health and exposure data, can be used to inform setback distances to protect public health.
DOI: 10.6084/m9.figshare.10265885.v1
title: Evaluating potential human health risks from modeled inhalation exposures to volatile organic compounds emitted from oil and gas operations

description: Some states and localities restrict siting of new oil and gas (O&G) wells relative to public areas. Colorado includes a 500-foot exception zone for building units, but it is unclear if that sufficiently protects public health from air emissions from O&G operations. To support reviews of setback requirements, this research examines potential health risks from volatile organic compounds (VOCs) released during O&G operations. We used stochastic dispersion modeling with published emissions for 47 VOCs (collected on-site during tracer experiments) to estimate outdoor air concentrations within 2,000 feet of hypothetical individual O&G facilities in Colorado. We estimated distributions of incremental acute, subchronic, and chronic inhalation non-cancer hazard quotients (HQs) and hazard indices (HIs), and inhalation lifetime cancer risks for benzene, by coupling modeled concentrations with microenvironmental penetration factors, human-activity diaries, and health-criteria levels. Estimated exposures to most VOCs were below health criteria at 500–2,000 feet. HQs were &lt; 1 for 43 VOCs at 500 feet from facilities, with lowest values for chronic exposures during O&G production. Hazard estimates were highest for acute exposures during O&G development, with maximum acute HQs and HIs &gt; 1 at most distances from facilities, particularly for exposures to benzene, 2- and 3-ethyltoluene, and toluene, and for hematological, neurotoxicity, and respiratory effects. Maximum acute HQs and HIs were &gt; 10 for highest-exposed individuals 500 feet from eight of nine modeled facilities during O&G development (and 2,000 feet from one facility during O&G flowback); hematologic toxicity associated with benzene exposure was the critical toxic effect. Estimated cancer risks from benzene exposure were &lt; 1.0 × 10<sup>−5</sup> at 500 feet and beyond. <i>Implications</i>: Our stochastic use of emissions data from O&G facilities, along with activity-pattern exposure modeling, provides new information on potential public-health impacts due to emissions from O&G operations. The results will help in evaluating the adequacy of O&G setback distances. For an assessment of human-health risks from exposures to air emissions near individual O&G sites, we have utilized a unique dataset of tracer-derived emissions of VOCs detected at such sites in two regions of intense oil-and-gas development in Colorado. We have coupled these emission stochastically with local meteorological data and population and time-activity data to estimate the potential for acute, subchronic, and chronic exposures above health-criteria levels due to air emissions near individual sites. These results, along with other pertinent health and exposure data, can be used to inform setback distances to protect public health.
DOI: 10.17632/s2rbgrsfz9.1
title: Data for: "Does Pakistan Still have Polio Cases?": Exploring Discussions on Polio and Polio Vaccine in Online News Comments in Pakistan

description: These tables represent the analyzed titles of the news stories and related online comments in Dawn.com in Pakistan.
DOI: 10.6084/m9.figshare.13487256.v8
title: data and code

description: data and code
DOI: 10.6084/m9.figshare.12728048
title: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin

description: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin
DOI: 10.6084/m9.figshare.12728048.v3
title: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin

description: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin
DOI: 10.6084/m9.figshare.12728048.v2
title: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin

description: Cenozoic paleomagnetic results at the Heishiqiu localtiy in the northern Qaidam Basin
DOI: 10.5281/zenodo.4385444
title: A climate database with varying drought-heat signatures for climate impact modelling

description: To allow for impact modelling for a wide range of sectors, we provide six scenarios with differing drought-heat signatures. Each scenario is 100 years long and we provide temperature variables (mean, minimum, maximum), precipitation, radiation (short- and longwave downward radiation and shortwave net radiation) and wind (zonal and meridional) at daily timescales. All variables are available at a regular 1◦×1◦grid over land, except Antarctica and large parts of Greenland. Leap days were removed, so there are 365×100 time steps for each scenario.
description: E.T. and J.Z. acknowledge the Swiss National Science Foundation (Ambizione grant 179876). K.v.d.W. acknowledges funding for the HiWAVES3 project from the National Natural Science Foundation of China (41661144006)
DOI: 10.6084/m9.figshare.13502349
title: change in species abundance and species H

description: We focused on three native species in the Inner Mongolia Grassland: 1) a dominant C<sub>3</sub> grass with the highest <i>H</i> (homeostatic), <i>Leymus chinensis</i>, 2) a subdominant grass, <i>Cleistogenes squarrosa</i> with low <i>H</i>, and 3) a minor forb, <i>Chenopodium glaucum </i>with the lowest <i>H </i>. To test our predictions with a long-term N addition study to assess changes in species abundances with N enrichment over time, and we used a sand culture experiment to assess changes in <i>H</i> with long-term N addition.
DOI: 10.6084/m9.figshare.13502349.v1
title: change in species abundance and species H

description: We focused on three native species in the Inner Mongolia Grassland: 1) a dominant C<sub>3</sub> grass with the highest <i>H</i> (homeostatic), <i>Leymus chinensis</i>, 2) a subdominant grass, <i>Cleistogenes squarrosa</i> with low <i>H</i>, and 3) a minor forb, <i>Chenopodium glaucum </i>with the lowest <i>H </i>. To test our predictions with a long-term N addition study to assess changes in species abundances with N enrichment over time, and we used a sand culture experiment to assess changes in <i>H</i> with long-term N addition.
DOI: 10.6084/m9.figshare.13502355
title: data.xlsx

description: We focused on three native species in the Inner Mongolia Grassland: 1) a dominant C<sub>3</sub> grass with the highest <i>H</i> (homeostatic), <i>Leymus chinensis</i>, 2) a subdominant grass, <i>Cleistogenes squarrosa</i> with low <i>H</i>, and 3) a minor forb, <i>Chenopodium glaucum </i>with the lowest <i>H </i>. To test our predictions with a long-term N addition study to assess changes in species abundances with N enrichment over time, and we used a sand culture experiment to assess changes in <i>H</i> with long-term N addition.
DOI: 10.6084/m9.figshare.13502367
title: phm001.dta

description: data from 284 listed pharmaceutical companies in China
DOI: 10.6084/m9.figshare.13502367.v1
title: phm001.dta

description: data from 284 listed pharmaceutical companies in China
DOI: 10.5281/zenodo.4400229
title: Dataset of SIF and GPP at Daman Site during 2017 to 2018 and leaf-level PAM measurements

description: This is the dataset used in the paper "Improving SIF-based GPP estimation for maize by integrating a response model of LUE to PAR" by the same authors. Please let us know if you want to use the dataset before the paper is published. If there is any question, please contact liuxj@radi.ac.cn.
DOI: 10.25442/hku.13474911
title: Supporting data for “The cultural and ecosystem values of snakes in Asia"

description: Chapter2interviewdata.csv includes all of the data used in the analyses for Chapter 2, where the variables "acre.size", "mean1kmbuffertreecover" and "impervioussurfacearea1kmpercent" depict, respectively, the size in acres, percentage of tree cover averaged over the area extending 1 km beyond the centrum, and percentage of impervious surface area averaged over the area extending 1 km beyond the centrum of each sacred grove site associated with the given participant.<br>Chapter3surveydata.csv includes all survey response from interviews conducted at snake soup shops for Chapter 3. The fasta file includes the consensus sequences for all snake meat samples and voucher specimens included in the analyses for this study.<br><br>Files starting with "Chapter4" collectively include all the data used in the analyses for that chapter.
DOI: 10.25442/hku.13474911.v1
title: Supporting data for “The cultural and ecosystem values of snakes in Asia"

description: Chapter2interviewdata.csv includes all of the data used in the analyses for Chapter 2, where the variables "acre.size", "mean1kmbuffertreecover" and "impervioussurfacearea1kmpercent" depict, respectively, the size in acres, percentage of tree cover averaged over the area extending 1 km beyond the centrum, and percentage of impervious surface area averaged over the area extending 1 km beyond the centrum of each sacred grove site associated with the given participant.<br>Chapter3surveydata.csv includes all survey response from interviews conducted at snake soup shops for Chapter 3. The fasta file includes the consensus sequences for all snake meat samples and voucher specimens included in the analyses for this study.<br><br>Files starting with "Chapter4" collectively include all the data used in the analyses for that chapter.
DOI: 10.18112/openneuro.ds003454.v1.0.0
title: Reward Learning + RAPM Task
DOI: 10.21227/vvsh-pf93
title: NITT Custom Dataset for Design of IDS

description: Training, Test, and Validation data pertaining to the real-time packet data captured in Sonic Firewall is attached herewith.
DOI: 10.21227/71ma-dj26
title: NITT Custom Dataset for Design of IDS

description: Training, Test, and Validation data pertaining to the real-time packet data captured in Sonic Firewall is attached herewith.
DOI: 10.6084/m9.figshare.13502391.v1
title: IGAP

description: Data used to demonstrate the functionality of MoNET
DOI: 10.6084/m9.figshare.13502391
title: IGAP

description: Data used to demonstrate the functionality of MoNET
DOI: 10.5517/ccdc.csd.cc1pfkrf
title: CCDC 1562175: Experimental Crystal Structure Determination

description: Related Article: Rimma G. Savchenko, Ekaterina S. Mescheryakova, Kamil Sh Bikmukhametov, Arthur R. Tulyabaev, Lyudmila V. Parfenova, Leonard M. Khalilov|2020|J.Mol.Struct.|1227|129509|doi:10.1016/j.molstruc.2020.129509
DOI: 10.5517/ccdc.csd.cc1pfksg
title: CCDC 1562176: Experimental Crystal Structure Determination

description: Related Article: Rimma G. Savchenko, Ekaterina S. Mescheryakova, Kamil Sh Bikmukhametov, Arthur R. Tulyabaev, Lyudmila V. Parfenova, Leonard M. Khalilov|2020|J.Mol.Struct.|1227|129509|doi:10.1016/j.molstruc.2020.129509
DOI: 10.5517/ccdc.csd.cc1pfkxl
title: CCDC 1562180: Experimental Crystal Structure Determination

description: Related Article: Rimma G. Savchenko, Svetlana A. Kostyleva, Anastasiya V. Apaeva, Eketerina S. Mesheryakova, Adis A. Tukhbatullin, Victor N. Odinokov, Lyudmila V. Parfenova|2019|Ultrason.Sonochem.|52|505|doi:10.1016/j.ultsonch.2018.12.029
description: Related Article: Rimma G. Savchenko, Ekaterina S. Mescheryakova, Kamil Sh Bikmukhametov, Arthur R. Tulyabaev, Lyudmila V. Parfenova, Leonard M. Khalilov|2020|J.Mol.Struct.|1227|129509|doi:10.1016/j.molstruc.2020.129509
DOI: 10.5517/ccdc.csd.cc217htm
title: CCDC 1884050: Experimental Crystal Structure Determination

description: Related Article: Sirajuddin Sarkar, Sourav Ranjan Ghosh, Paula Brandão, Atish Dipankar Jana|2020|J.Mol.Struct.|1227|129513|doi:10.1016/j.molstruc.2020.129513
DOI: 10.5517/ccdc.csd.cc22g09w
title: CCDC 1920087: Experimental Crystal Structure Determination

description: Related Article: Smita G. Mane, Dinesh S. Reddy, Kariyappa S. Katagi, Amit Kumar, Ravindra S. Munnolli, Nikhil S. Kadam, Mahesh C. Akki, H. Nagarajaiah, Shrinivas D. Joshi|2020|J.Mol.Struct.|1227|129530|doi:10.1016/j.molstruc.2020.129530
DOI: 10.5517/ccdc.csd.cc22j4lc
title: CCDC 1922142: Experimental Crystal Structure Determination

description: Related Article: Nefise Özçelik, Tuncay Tunç, Raziye Çatak Çelik, Mahmut Erzengin, Hacı Özışık|2020|J.Mol.Struct.|1227|129570|doi:10.1016/j.molstruc.2020.129570
DOI: 10.5517/ccdc.csd.cc247k87
title: CCDC 1973468: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Ranjeet Kaur, Shweta Rana, Ramesh Kataria, Subash Chandra Sahoo|2020|J.Mol.Struct.|1227|129527|doi:10.1016/j.molstruc.2020.129527
DOI: 10.5517/ccdc.csd.cc24xplc
title: CCDC 1993783: Experimental Crystal Structure Determination

description: Related Article: Elena V. Savinkina, Denis V. Golubev, Mikhail S. Grigoriev, Aleksandr V. Kornilov|2020|J.Mol.Struct.|1227|129526|doi:10.1016/j.molstruc.2020.129526
DOI: 10.5517/ccdc.csd.cc24xpmd
title: CCDC 1993784: Experimental Crystal Structure Determination

description: Related Article: Elena V. Savinkina, Denis V. Golubev, Mikhail S. Grigoriev, Aleksandr V. Kornilov|2020|J.Mol.Struct.|1227|129526|doi:10.1016/j.molstruc.2020.129526
DOI: 10.5517/ccdc.csd.cc24xpnf
title: CCDC 1993785: Experimental Crystal Structure Determination

description: Related Article: Elena V. Savinkina, Denis V. Golubev, Mikhail S. Grigoriev, Aleksandr V. Kornilov|2020|J.Mol.Struct.|1227|129526|doi:10.1016/j.molstruc.2020.129526
DOI: 10.5517/ccdc.csd.cc252zcm
title: CCDC 1998860: Experimental Crystal Structure Determination

description: Related Article: Vladimir K. Osmanov, Rizvan K. Askerov, Evgeniy V. Chipinsky, Galina N. Borisova, Victor. N. Khrustalev, Alexander O. Chizhov, Alexander S. Peregudov, Jonathan Cisterna, Alexander V. Borisov, Ivan Brito|2020|J.Mol.Struct.|1227|129537|doi:10.1016/j.molstruc.2020.129537
DOI: 10.5517/ccdc.csd.cc252zdn
title: CCDC 1998861: Experimental Crystal Structure Determination

description: Related Article: Vladimir K. Osmanov, Rizvan K. Askerov, Evgeniy V. Chipinsky, Galina N. Borisova, Victor. N. Khrustalev, Alexander O. Chizhov, Alexander S. Peregudov, Jonathan Cisterna, Alexander V. Borisov, Ivan Brito|2020|J.Mol.Struct.|1227|129537|doi:10.1016/j.molstruc.2020.129537
DOI: 10.5517/ccdc.csd.cc252zfp
title: CCDC 1998862: Experimental Crystal Structure Determination

description: Related Article: Vladimir K. Osmanov, Rizvan K. Askerov, Evgeniy V. Chipinsky, Galina N. Borisova, Victor. N. Khrustalev, Alexander O. Chizhov, Alexander S. Peregudov, Jonathan Cisterna, Alexander V. Borisov, Ivan Brito|2020|J.Mol.Struct.|1227|129537|doi:10.1016/j.molstruc.2020.129537
DOI: 10.5517/ccdc.csd.cc256l00
title: CCDC 2002321: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Ranjeet Kaur, Shweta Rana, Ramesh Kataria, Subash Chandra Sahoo|2020|J.Mol.Struct.|1227|129527|doi:10.1016/j.molstruc.2020.129527
DOI: 10.5517/ccdc.csd.cc25859y
title: CCDC 2003849: Experimental Crystal Structure Determination

description: Related Article: Guanlin Guo, Lun Zhao, Lingshu Meng, Xin Liu|2020|J.Mol.Struct.|1227|129053|doi:10.1016/j.molstruc.2020.129053
DOI: 10.5517/ccdc.csd.cc2585bz
title: CCDC 2003850: Experimental Crystal Structure Determination

description: Related Article: Guanlin Guo, Lun Zhao, Lingshu Meng, Xin Liu|2020|J.Mol.Struct.|1227|129053|doi:10.1016/j.molstruc.2020.129053
DOI: 10.5517/ccdc.csd.cc2585c0
title: CCDC 2003851: Experimental Crystal Structure Determination

description: Related Article: Guanlin Guo, Lun Zhao, Lingshu Meng, Xin Liu|2020|J.Mol.Struct.|1227|129053|doi:10.1016/j.molstruc.2020.129053
DOI: 10.5517/ccdc.csd.cc25fdgh
title: CCDC 2008876: Experimental Crystal Structure Determination

description: Related Article: Rimma G. Savchenko, Ekaterina S. Mescheryakova, Kamil Sh Bikmukhametov, Arthur R. Tulyabaev, Lyudmila V. Parfenova, Leonard M. Khalilov|2020|J.Mol.Struct.|1227|129509|doi:10.1016/j.molstruc.2020.129509
DOI: 10.5517/ccdc.csd.cc25nm3l
title: CCDC 2015809: Experimental Crystal Structure Determination

description: Related Article: Yu-Peng Hua, Cai-Long Xue, Wen-Mei Zhang, Yi Liu, Ji-Lan Tian, Wen-Min Wang, Ming Fang|2020|J.Mol.Struct.|1227|129510|doi:10.1016/j.molstruc.2020.129510
DOI: 10.5517/ccdc.csd.cc25nm4m
title: CCDC 2015810: Experimental Crystal Structure Determination

description: Related Article: Yu-Peng Hua, Cai-Long Xue, Wen-Mei Zhang, Yi Liu, Ji-Lan Tian, Wen-Min Wang, Ming Fang|2020|J.Mol.Struct.|1227|129510|doi:10.1016/j.molstruc.2020.129510
DOI: 10.5517/ccdc.csd.cc25t6v2
title: CCDC 2020234: Experimental Crystal Structure Determination

description: Related Article: Keshab M. Bairagi, Nancy Safwat Younis, Promise Madu Emeka, Katharigatta N. Venugopala, Osama I. Alwassil, Hany Ezzat Khalil, Ekta Sangtani, Rajesh G. Gonnade, Viresh Mohanlall, Susanta K. Nayak|2020|J.Mol.Struct.|1227|129412|doi:10.1016/j.molstruc.2020.129412
DOI: 10.5517/ccdc.csd.cc25t6w3
title: CCDC 2020235: Experimental Crystal Structure Determination

description: Related Article: Keshab M. Bairagi, Nancy Safwat Younis, Promise Madu Emeka, Katharigatta N. Venugopala, Osama I. Alwassil, Hany Ezzat Khalil, Ekta Sangtani, Rajesh G. Gonnade, Viresh Mohanlall, Susanta K. Nayak|2020|J.Mol.Struct.|1227|129412|doi:10.1016/j.molstruc.2020.129412
DOI: 10.5517/ccdc.csd.cc2655vf
title: CCDC 2030774: Experimental Crystal Structure Determination

description: Related Article: Xiu-Jiang Du, Xing-Jie Peng, Rui-Qi Zhao, Wei-Guang Zhao, Xing-Hai Liu, Wei-Li Dong|2020|J.Mol.Struct.|1227|129398|doi:10.1016/j.molstruc.2020.129398
DOI: 10.5517/ccdc.csd.cc265xx7
title: CCDC 2031489: Experimental Crystal Structure Determination

description: Related Article: Subhi A. Al-Jibori, Ahmed S.M. Al-Janabi, Serwan W.M. Al-Sahan, Christoph Wagner|2020|J.Mol.Struct.|1227|129524|doi:10.1016/j.molstruc.2020.129524
DOI: 10.6084/m9.figshare.13502394
title: Sexual intercourse as a new therapy for distal ureteric stones: a meta-analysis

description: Table 1：Characteristics of studies included in this meta-analysisTable 2 ：Quality assessment of each included studyFigure 1: Flow chart of literature selection process<br>Figure 2: Forest plots of expulsion rate between sexual intercourse group and symptomatic therapy groupFigure 3: Forest plots of expulsion rate between sexual intercourse group and tamsulosin groupFigure 4: Forest plots of number of needed analgesic injections between sexual intercourse group and symptomatic therapy groupFigure 5: Forest plots of number of needed analgesic injections between sexual intercourse group and tamsulosin groupFigure 6: Forest plots of stone expulsion time between sexual intercourse group and symptomatic therapy groupFigure 7: Forest plots of stone expulsion time between sexual intercourse group and symptomatic tamsulosin group<b></b><b><br></b>
DOI: 10.6084/m9.figshare.13502394.v1
title: Sexual intercourse as a new therapy for distal ureteric stones: a meta-analysis

description: Table 1：Characteristics of studies included in this meta-analysisTable 2 ：Quality assessment of each included studyFigure 1: Flow chart of literature selection process<br>Figure 2: Forest plots of expulsion rate between sexual intercourse group and symptomatic therapy groupFigure 3: Forest plots of expulsion rate between sexual intercourse group and tamsulosin groupFigure 4: Forest plots of number of needed analgesic injections between sexual intercourse group and symptomatic therapy groupFigure 5: Forest plots of number of needed analgesic injections between sexual intercourse group and tamsulosin groupFigure 6: Forest plots of stone expulsion time between sexual intercourse group and symptomatic therapy groupFigure 7: Forest plots of stone expulsion time between sexual intercourse group and symptomatic tamsulosin group<b></b><b><br></b>
DOI: 10.6084/m9.figshare.13502433
title: Phosphogypsum dataset, storage

description: The dataset was collected from field observation points and included 21 soil samples with 30 measured parameters in order to evaluate influence of phosphogypsum storage (PG) on soil chemical, biological and ecotoxicological properties. Samples were collected from 1 point at background location, 3 points near PG-storage, 3 points at accumulation site (river coastal zone). From each point samples were collected in triplicate.