cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc243yv2
title: CCDC 1970014: Experimental Crystal Structure Determination

description: Related Article: Cristina Yagüe, Igor Echevarría, Mónica Vaquero, Jairo Fidalgo, Arancha Carbayo, Félix A. Jalón, João C. Lima, Artur J. Moro, Blanca R. Manzano, Gustavo Espino|2020|Chem.-Eur.J.|26|12219|doi:10.1002/chem.202001460
DOI: 10.6084/m9.figshare.12992909.v1
title: EnvironData

description: This directory contains environmental values (soil & climate) for all the populations in the hybrid zone.
DOI: 10.5517/ccdc.csd.cc24swys
title: CCDC 1990136: Experimental Crystal Structure Determination

description: Related Article: Harsh Bhatia, Debdas Ray|2020|Mat.Advs.|1|1858|doi:10.1039/D0MA00382D
DOI: 10.5517/ccdc.csd.cc24swzt
title: CCDC 1990137: Experimental Crystal Structure Determination

description: Related Article: Harsh Bhatia, Debdas Ray|2020|Mat.Advs.|1|1858|doi:10.1039/D0MA00382D
DOI: 10.3886/e117904v1-45220
title: Utah Air Quality Risk and Behavioral Action Survey

description: Our interdisciplinary team developed a Utah state-wide survey based on census demographics to assess the role of environmental attitudes and behavior on public health and public policy issues caused by poor air quality in Utah. To accomplish this task, we surveyed Utahns from across the state to assess seven hypothesized drivers of human values, beliefs and preferences that interact with perceptions of risk to promote specific environmental behaviors related to air pollution. By assessing these interacting processes, we can better understand the perceived range of acceptable public health and policy related outcomes within our state, fill in behavioral gaps in the research, and to identify what legislative or regulatory actions have the greatest potential for addressing this serious issue.
description: web-based survey; Five stage, online quota sample through Qualtrics
description: Smallest Geographic Unit: County
description: Stratified sampling approach
DOI: 10.3886/e119446v32
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Rachel Scheckman <br>rscheckm@bu.edu <br>Database Manager Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.6084/m9.figshare.13012667
title: R0160_20170430a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.11663748.v4
title: Sediment Balance in Coastal Louisiana from 2006 to 2015

description: A decadal (2006 to 2015) sediment mass and volume balance for coastal Louisiana from calculated from the Coastwide Reference Monitoring System (CRMS) data using Bayesian kriging.
DOI: 10.6084/m9.figshare.11663748.v5
title: Sediment Balance in Coastal Louisiana from 2006 to 2015

description: A decadal (2006 to 2015) sediment mass and volume balance for coastal Louisiana from calculated from the Coastwide Reference Monitoring System (CRMS) data using Bayesian kriging.
DOI: 10.6084/m9.figshare.13012667.v1
title: R0160_20170430a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/ccdc.csd.cc261hb3
title: CCDC 2027224: Experimental Crystal Structure Determination

description: Related Article: M.A.E. Shaibah, C.N. Kavitha, H.S. Yathirajan, S. Foro, C. Glidewell|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1629|doi:10.1107/S2056989020012268
DOI: 10.34730/b184fdf698364005b99486427af4f82c
title: Soil relative air permeability and water retention

description: Data set provides information about capillary pressure-saturation-relative air permeability for thirty one soil samples. And the introduction of the data source compiled in the Excel file (31 Measured data sets_relative air permeability and water retention.xlsx): 1. The data sets of Brooks and Corey (1964, 1966) were retrieved from literature by Zhenlei Yang (zlyangtamu@gmail.com). 2. The data sets of Collis-George (1953), Touma and Vauclin (1986), Stonestrom (1987), and Dury (1997) were retrieved from literature by Xingxing Kuang (cugbkxx@126.com). 3. The data sets of Tuli and Hopmans (2004) and Tuli et al. (2005) were generously shared and provided by Jan W. Hopmans (jwhopmans@ucdavis.edu).
DOI: 10.6084/m9.figshare.12792554
title: raw-image-data

description: raw data
DOI: 10.25919/5f7138a8a8c37
title: Cloud-permitting tropical cyclone simulations from Ramsay et al. (2020)

description: This collection contains CM1 numerical input files and select model output in NetCDF from the simulations published in Ramsay et al. (2020).
DOI: 10.25919/5f7139d24eab6
title: Parkes observations for project P595 semester 2020APRS_16

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the FERMI Gamma ray mission, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.25919/5f713bee06b8c
title: Parkes observations for project P1041 semester 2020APRS_17

description: We recently discovered five millisecond pulsars (MSPs) in the globular cluster Omega Centauri. This is the first pulsar discovery in this globular cluster. Four of these pulsars are isolated with spin periods of 4.1, 4.2, 4.6 and 6.8ms. The fifth has a spin period of 4.8ms and is in an eclipsing binary system with an orbital period of 2.1 hours. We propose to carry out a timing campaign of these new pulsars in order to study the dynamics in the core of Omega Centauri, to reveal the origin of Gamma-ray emission from the core, and to probe the ionised interstellar medium in Omega Centauri. Our proposed observations will also enable us to carry out deeper searches of pulsars in the cluster.
DOI: 10.6084/m9.figshare.13012799
title: Swimming legs are chemosensitive and involved in feeding in the mud crab Scylla paramamosain as determined electrocardiography and behaviourally

description: ECG of mud crab
DOI: 10.6084/m9.figshare.13012817
title: The influence of a 40-minute break filled with sleep or wakefulness after an acute stressor on perceived stress, affect, and working memory - dataset

description: Data set for study investigating the effects of a brief nap on stress, affect, and working memory.
DOI: 10.6084/m9.figshare.13012487
title: R0229_20181110a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13012742
title: R0160_20170501a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13012742.v1
title: R0160_20170501a_videos

description: Rat 0160, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.25345/c5x489
title: MassIVE MSV000086203 - GNPS CCLs neg With Cmpnts mgf two group
title: CCLs. Data were collected under negative ionization mode. Data were in mgf format. Data were from identified components. Mix and blank were used for network construction.
DOI: 10.6084/m9.figshare.13012487.v1
title: R0229_20181110a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13012871
title: Gene database of Mycobacteroides abscessus strain FLAC013

description: <i>Mycobacteroides abscessus</i> belongs to a complex of mycobacteria that are multi-drug resistant and causes lung, skin and soft tissue infections in human. Common in soil and water environment, the microbe could also infect other human organs, thereby, marking it as clinically important. This work sought to provide fundamental information about the genetic repertoire of <i>M. abscessus</i> strain FLAC013 through processing the annotated genome sequence of the species obtained from Genbank. Comprising gene name, gene function, and gene sequence, the resource should find use in functional genomics studies seeking to link particular genes to specific pathogenic mechanisms endowed by the bacterium.
DOI: 10.5519/qd.xegfopdi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (329 records)
DOI: 10.6084/m9.figshare.12444266
title: wuhan-newyork-study-code-and-data.zip

description: The dataset of LUSIs in our paper:<br><br>Fang et al. Synthesizing location semantics from street view images to improve urban land use classification, Int. J. Geogr. Inf. Sci. (2020)
DOI: 10.6084/m9.figshare.12444266.v6
title: wuhan-newyork-study-code-and-data.zip

description: wuhan-newyork-study-code-and-data，for Street View Classification。
DOI: 10.6084/m9.figshare.13012924
title: Additional file 1 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 1. PARAMEDIC2 HEALTH ECONOMICS ANALYSIS PLAN. Details of the PARAMEDIC2 health economics analysis plan.
DOI: 10.6084/m9.figshare.13012930
title: Additional file 3 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 3. Pre-specified and post-hoc sensitivity analyses exploring varying features of the within-trial economic evaluation on the cost-effectiveness results. List of sensitivity analyses.
DOI: 10.6084/m9.figshare.13012933.v1
title: Additional file 4 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 4. Subgroup analyses conducted that explored potential heterogeneity in the within-trial incremental cost-effectiveness of adrenaline.
DOI: 10.6084/m9.figshare.13012927.v1
title: Additional file 2 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 2. Unit costs for NHS, non-NHS and personal and social service resource inputs (£ sterling, 2017 prices). Unit costs data used to inform the within trial economic evaluation.
DOI: 10.6084/m9.figshare.13012927
title: Additional file 2 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 2. Unit costs for NHS, non-NHS and personal and social service resource inputs (£ sterling, 2017 prices). Unit costs data used to inform the within trial economic evaluation.
DOI: 10.6084/m9.figshare.13012936
title: Additional file 5 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 5. Economic modelling to extrapolate cost-effectiveness beyond trial follow-up and incorporate the indirect effects of organ donation. List of subgroup analyses.
DOI: 10.6084/m9.figshare.13012930.v1
title: Additional file 3 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 3. Pre-specified and post-hoc sensitivity analyses exploring varying features of the within-trial economic evaluation on the cost-effectiveness results. List of sensitivity analyses.
DOI: 10.6084/m9.figshare.13012936.v1
title: Additional file 5 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 5. Economic modelling to extrapolate cost-effectiveness beyond trial follow-up and incorporate the indirect effects of organ donation. List of subgroup analyses.
DOI: 10.6084/m9.figshare.13012933
title: Additional file 4 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 4. Subgroup analyses conducted that explored potential heterogeneity in the within-trial incremental cost-effectiveness of adrenaline.
DOI: 10.6084/m9.figshare.13012939.v1
title: Additional file 6 of Cost-effectiveness of adrenaline for out-of-hospital cardiac arrest

description: Additional file 6. Resources use for NHS and personal and social services by trial arm in the 6 month post-randomisation period; all patients. Resource use results table, within-trial economic evaluation.
DOI: 10.6084/m9.figshare.11819856.v1
title: Geology of the Acropolis prospect, South Australia, constrained by high-precision CA-TIMS ages

description: Acropolis is an Fe-oxide–copper–gold prospect ∼20 km from Olympic Dam, South Australia, and marked by near-coincident gravity and magnetic anomalies. Prospective Fe-oxide–apatite ± sulfide veins occur in Mesoproterozoic and Paleoproterozoic volcanic and granitoid host units beneath unmineralised sedimentary formations. We have produced a geological map and history of the prospect using data from 16 diamond drill holes, including LA-ICPMS and high-precision CA-TIMS ages. The oldest unit is megacrystic granite of the Donington Suite (<i>ca</i> 1850 Ma). A non-conformity spanning <i>ca</i> 250 My separates the Donington Suite and felsic lavas and ignimbrites of the Gawler Range Volcanics (GRV; 1594.03 ± 0.68 Ma). The GRV were intruded by granite of the Hiltaba Suite (1594.88 ± 0.50 Ma) and felsic dykes (1593.88 ± 0.56 Ma; same age as the Roxby Downs Granite at Olympic Dam). The felsic dykes are weakly altered and lack Fe-oxide–apatite–sulfide veins, suggesting that they post-date the main hydrothermal event. If correct, this relationship implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma and pre-dated the main hydrothermal event at Olympic Dam. The GRV at Acropolis are the same age as the GRV at Olympic Dam and <i>ca</i> 3–7 My older than the GRV exposed in the Gawler Ranges. The gravity and magnetic anomalies coincide with sections through the GRV, Hiltaba Suite and Donington Suite that contain abundant, wide, Fe-oxide veins. The GRV, Hiltaba Suite and Donington Suite are unconformably overlain by the Mesoproterozoic Pandurra Formation or Neoproterozoic Stuart Shelf sedimentary formations. The Pandurra Formation shows marked lateral variations in thickness related to paleotopography on the underlying units and post-Pandurra Formation pre-Neoproterozoic faults. The Stuart Shelf sedimentary formations have uniform thicknesses.KEY POINTSFe-oxide–apatite ± sulfide veins are hosted by the Gawler Range Volcanics (1594.03 ± 0.68 Ma), the Hiltaba Suite granite (1594.88 ± 0.50 Ma) and Donington Suite granite (<i>ca</i> 1850 Ma).The age of felsic dykes (1593.88 ± 0.56 Ma) interpreted to be post-mineralisation implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma.The Gawler Range Volcanics at Acropolis are the same age as the Gawler Range Volcanics at Olympic Dam and <i>ca</i> 3 to 7 My older than the Gawler Range Volcanics exposed in the Gawler Ranges. Fe-oxide–apatite ± sulfide veins are hosted by the Gawler Range Volcanics (1594.03 ± 0.68 Ma), the Hiltaba Suite granite (1594.88 ± 0.50 Ma) and Donington Suite granite (<i>ca</i> 1850 Ma). The age of felsic dykes (1593.88 ± 0.56 Ma) interpreted to be post-mineralisation implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma. The Gawler Range Volcanics at Acropolis are the same age as the Gawler Range Volcanics at Olympic Dam and <i>ca</i> 3 to 7 My older than the Gawler Range Volcanics exposed in the Gawler Ranges.
DOI: 10.6084/m9.figshare.11819856
title: Geology of the Acropolis prospect, South Australia, constrained by high-precision CA-TIMS ages

description: Acropolis is an Fe-oxide–copper–gold prospect ∼20 km from Olympic Dam, South Australia, and marked by near-coincident gravity and magnetic anomalies. Prospective Fe-oxide–apatite ± sulfide veins occur in Mesoproterozoic and Paleoproterozoic volcanic and granitoid host units beneath unmineralised sedimentary formations. We have produced a geological map and history of the prospect using data from 16 diamond drill holes, including LA-ICPMS and high-precision CA-TIMS ages. The oldest unit is megacrystic granite of the Donington Suite (<i>ca</i> 1850 Ma). A non-conformity spanning <i>ca</i> 250 My separates the Donington Suite and felsic lavas and ignimbrites of the Gawler Range Volcanics (GRV; 1594.03 ± 0.68 Ma). The GRV were intruded by granite of the Hiltaba Suite (1594.88 ± 0.50 Ma) and felsic dykes (1593.88 ± 0.56 Ma; same age as the Roxby Downs Granite at Olympic Dam). The felsic dykes are weakly altered and lack Fe-oxide–apatite–sulfide veins, suggesting that they post-date the main hydrothermal event. If correct, this relationship implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma and pre-dated the main hydrothermal event at Olympic Dam. The GRV at Acropolis are the same age as the GRV at Olympic Dam and <i>ca</i> 3–7 My older than the GRV exposed in the Gawler Ranges. The gravity and magnetic anomalies coincide with sections through the GRV, Hiltaba Suite and Donington Suite that contain abundant, wide, Fe-oxide veins. The GRV, Hiltaba Suite and Donington Suite are unconformably overlain by the Mesoproterozoic Pandurra Formation or Neoproterozoic Stuart Shelf sedimentary formations. The Pandurra Formation shows marked lateral variations in thickness related to paleotopography on the underlying units and post-Pandurra Formation pre-Neoproterozoic faults. The Stuart Shelf sedimentary formations have uniform thicknesses.KEY POINTSFe-oxide–apatite ± sulfide veins are hosted by the Gawler Range Volcanics (1594.03 ± 0.68 Ma), the Hiltaba Suite granite (1594.88 ± 0.50 Ma) and Donington Suite granite (<i>ca</i> 1850 Ma).The age of felsic dykes (1593.88 ± 0.56 Ma) interpreted to be post-mineralisation implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma.The Gawler Range Volcanics at Acropolis are the same age as the Gawler Range Volcanics at Olympic Dam and <i>ca</i> 3 to 7 My older than the Gawler Range Volcanics exposed in the Gawler Ranges. Fe-oxide–apatite ± sulfide veins are hosted by the Gawler Range Volcanics (1594.03 ± 0.68 Ma), the Hiltaba Suite granite (1594.88 ± 0.50 Ma) and Donington Suite granite (<i>ca</i> 1850 Ma). The age of felsic dykes (1593.88 ± 0.56 Ma) interpreted to be post-mineralisation implies that the main hydrothermal event at Acropolis was <i>ca</i> 1594 Ma. The Gawler Range Volcanics at Acropolis are the same age as the Gawler Range Volcanics at Olympic Dam and <i>ca</i> 3 to 7 My older than the Gawler Range Volcanics exposed in the Gawler Ranges.
DOI: 10.6084/m9.figshare.12045558
title: Neogene Billa Kalina Basin and Stuart Creek silicified floras, northern South Australia: a reassessment of their stratigraphy, age and environments

description: Silicified fossil macrofloras of the Willalinchina Sandstone, at Stuart Creek in the Billa Kalina Basin of northern South Australia, are most likely early Miocene–early Pliocene with preference for the younger age, based on reinterpretation of published evidence including basin stratigraphy, paleogeography, isotopic and other dating. The macrofloras include <i>Eucalyptus</i> and occur in fluvial channel sandstones. The Willalinchina Sandstone is equated with the Danae Conglomerate Member of the Mirikata Formation, interpreted as older than the Watchie Sandstone, Millers Creek Dolomite Member and Billa Kalina Clay Member, and here regarded as of upper Neogene age. The Billa Kalina Basin lies between Lake Eyre, Torrens and Eucla basins, and has affinities with all three. The Kingoonya Paleochannel, peripheral to the Eucla Basin, joins the southern margin of the Billa Kalina Basin across the Stuart Range Divide, and contains the Garford Formation of mid-Miocene to Pliocene age (palynological dating), here partly equated with the Mirikata Formation. Interpretations of paleolake Billa Kalina and associated paleochannel environments are made, based on a new assessment of stratigraphic and paleogeographic relationships.KEY POINTSThe Billa Kalina Basin sediments in northern South Australia are equated with the later Neogene ‘upper’ Garford Formation of the Kingoonya Paleochannel, which flowed into the Eucla Basin, and depositional processes are clarified.A variety of consistent age data from adjacent basins and the Kingoonya Paleochannel indicate the Stuart Creek ‘silcrete floras’, associated with the Willalinchina Sandstone channel deposits, are Neogene, probably early Pliocene, but the possibility remains that they may be incised into the Watchie Sandstone and therefore late Pliocene.The Billa Kalina Basin was linked to the Kingoonya Paleochannel through much of its history, with flow disrupted by the Stuart Range Divide, local tectonics, and regional tilting. The Billa Kalina Basin sediments in northern South Australia are equated with the later Neogene ‘upper’ Garford Formation of the Kingoonya Paleochannel, which flowed into the Eucla Basin, and depositional processes are clarified. A variety of consistent age data from adjacent basins and the Kingoonya Paleochannel indicate the Stuart Creek ‘silcrete floras’, associated with the Willalinchina Sandstone channel deposits, are Neogene, probably early Pliocene, but the possibility remains that they may be incised into the Watchie Sandstone and therefore late Pliocene. The Billa Kalina Basin was linked to the Kingoonya Paleochannel through much of its history, with flow disrupted by the Stuart Range Divide, local tectonics, and regional tilting.