cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21zrsl
title: CCDC 1906400: Experimental Crystal Structure Determination

description: Related Article: B. Xu, F. Luo, G. Tang, J. Zhang|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|508|doi:10.1107/S2053229619004248
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21zxb9
title: CCDC 1906541: Experimental Crystal Structure Determination

description: Related Article: H.-R. Chen|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|504|doi:10.1107/S2053229619004303
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5061/dryad.kp8c5j3/1
title: Dryad Item 10.5061/DRYAD.KP8C5J3/1

description: (:tba)
DOI: 10.5281/zenodo.2633174
title: Pulse Wave Database (PWDB): A database of arterial pulse waves representative of healthy adults

description: <strong>Overview</strong> This database of simulated arterial pulse waves is designed to be representative of a sample of pulse waves measured from healthy adults. It contains pulse waves for 4,374 virtual subjects, aged from 25-75 years old (in 10 year increments). The database contains a baseline set of pulse waves for each of the six age groups, created using cardiovascular properties (such as heart rate and arterial stiffness) which are representative of healthy subjects at each age group. It also contains 728 further virtual subjects at each age group, in which each of the cardiovascular properties are varied within normal ranges. This allows for extensive <em>in silico</em> analyses of haemodynamics and the performance of pulse wave analysis algorithms. <strong>Data Description</strong> The database contains the following waves: arterial flow velocity (U), luminal area (A), pressure (P), and photoplethysmogram (PPG). These pulse waves are provided at a range of measurement sites, including: aorta (ascending and descending) carotid artery brachial artery radial artery finger femoral artery The data are available in three formats: Matlab, CSV and WaveForm Database (WFDB) format. Further details of the formatting and contents of each file are available at: https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database <strong>Accompanying Publication</strong> The database is described in the following publication: Charlton P.H., Mariscal Harana, J., Vennin, S., Li, Y., Chowienczyk, P. & Alastruey, J., “Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices,” [under review] Please cite this publication when using the database. <strong>Further Information</strong> Further information on the Pulse Wave Database project can be found at: <em>https://peterhcharlton.github.io/pwdb/</em> <strong>Version History</strong> <strong>Version 0.1.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong> <strong>Version 0.2.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong>
description: This work was supported by the British Heart Foundation [PG/15/104/31913], the Wellcome EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z], and the King's College London & Imperial College London EPSRC Centre for Doctoral Training in Medical Imaging [EP/L015226/1]. The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Cardiovascular MedTech Co-operative at Guy's and St Thomas' NHS Foundation Trust (GSTT). The views expressed are those of the authors and not necessarily those of the BHF, Wellcome Trust, EPSRC, NIHR or GSTT.
DOI: 10.5281/zenodo.2633175
title: Pulse Wave Database (PWDB): A database of arterial pulse waves representative of healthy adults

description: <strong>Overview</strong> This database of simulated arterial pulse waves is designed to be representative of a sample of pulse waves measured from healthy adults. It contains pulse waves for 4,374 virtual subjects, aged from 25-75 years old (in 10 year increments). The database contains a baseline set of pulse waves for each of the six age groups, created using cardiovascular properties (such as heart rate and arterial stiffness) which are representative of healthy subjects at each age group. It also contains 728 further virtual subjects at each age group, in which each of the cardiovascular properties are varied within normal ranges. This allows for extensive <em>in silico</em> analyses of haemodynamics and the performance of pulse wave analysis algorithms. <strong>Data Description</strong> The database contains the following waves: arterial flow velocity (U), luminal area (A), pressure (P), and photoplethysmogram (PPG). These pulse waves are provided at a range of measurement sites, including: aorta (ascending and descending) carotid artery brachial artery radial artery finger femoral artery The data are available in three formats: Matlab, CSV and WaveForm Database (WFDB) format. Further details of the formatting and contents of each file are available at: https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database <strong>Accompanying Publication</strong> The database is described in the following publication: Charlton P.H., Mariscal Harana, J., Vennin, S., Li, Y., Chowienczyk, P. & Alastruey, J., “Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices,” [under review] Please cite this publication when using the database. <strong>Further Information</strong> Further information on the Pulse Wave Database project can be found at: <em>https://peterhcharlton.github.io/pwdb/</em>
description: Version 0.1.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices" This work was supported by the British Heart Foundation [PG/15/104/31913], the Wellcome EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z], and the King's College London & Imperial College London EPSRC Centre for Doctoral Training in Medical Imaging [EP/L015226/1]. The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Cardiovascular MedTech Co-operative at Guy's and St Thomas' NHS Foundation Trust (GSTT). The views expressed are those of the authors and not necessarily those of the BHF, Wellcome Trust, EPSRC, NIHR or GSTT.
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n.1
title: C28H22N4O4
title: InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+

description: This dataset contains experimental data from a sample (InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+).
      The datasets from the following experiments are available:
      
      1H NMR
      
      13C NMR
      
      Mass
      
      IR
      
      Others
      
      EA
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/13cnmr
title: 13C NMR (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for 13C NMR
      
      13C NMR (125 MHz, CDCl3, ppm) δ = 166.8 (2C, CO2CH3), 152.5 (2C, Cq), 150.6 (2C, Cq), 142.3 (2C, Cq), 131.9 (2C, CH), 131.4 (2C, CH), 131.1 (2C, Cq), 130.7 (2C, CH), 129.0 (4C, CH), 123.3 (4C, CH), 116.9 (2C, CH), 52.6 (2C, CO2CH3).  This spectrum contains around 8% impurities due to isomerization under the conditions of the measurement.
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/1hnmr
title: 1H NMR (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for 1H NMR
      
      1H NMR (500 MHz, CDCl3, ppm) δ = 8.44 (d, 2H, J = 1.5 Hz, CH), 8.24 (dd, 2H, J = 8.0 Hz, 1.5 Hz, CH), 7.70 (d, 2H, J = 8.0 Hz, CH), 7.49–7.47 (m, 4H, CH), 7.36–7.30 (m, 6H, CH), 4.01 (s, 6H, CO2CH3).  This spectrum contains around 8% impurities due to isomerization under the conditions of the measurement.
DOI: 10.14469/hpc/5447
title: 4pzMe (1,3,5-trimethyl-4-(phenyldiazenyl)-1H-pyrazole)

description: Acid studies on 4pzMe
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/ea
title: EA (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for EA
      
      EA (C28H22N4O4): Calcd C 70.28; H 4.63; N 11.71. Found C 70.13; H 4.64; N 11.56.
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/ir
title: IR (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for IR
      
      IR (ATR, ṽ) = 2953, 1725, 1602, 1433, 1288, 1240, 1208, 1118, 1097 cm–1.
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/mass
title: Mass (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for Mass
      
      EI (m/z, 70 eV, 170 °C): 478 (72) [M]+, 447 (100) [M–OCH3]+. HRMS–EI (m/z): [M]+ Calcd. for C28H22N4O4, 478.1641; Found. 478.1635.
DOI: 10.14272/otkpoebncaolao-jwtbxlrosa-n/others
title: Others (, InChI=1S/C28H22N4O4/c1-35-27(33)19-13-15-23(25(17-19)31-29-21-9-5-3-6-10-21)24-16-14-20(28(34)36-2)18-26(24)32-30-22-11-7-4-8-12-22/h3-18H,1-2H3/b31-29+,32-30+)

description: dataset for Others
      
      UV-VIS (CH2Cl2), λmax = 232, 269, 317, 447 nm.
DOI: 10.5281/zenodo.2635054
title: Online machine learning algorithms to predict link quality in community wireless mesh networks

description: FunkFeuer raw topology data from 15-01-2016 to 28-01-2016 retrieved on 17-02-2016 from http://opendata.confine-project.eu/dataset/funkfeuer-topology-data. This dataset was employed in "Miguel L. Bote-Lorenzo, Eduardo Gómez-Sánchez, Carlos Mediavilla-Pastor, Juan I. Asensio-Pérez, Online machine learning algorithms to predict link quality in community wireless mesh networks, Computer Networks, Volume 132, 2018, Pages 68-80, https://doi.org/10.1016/j.comnet.2018.01.005."
DOI: 10.17632/bcs7wzpht5.1
title: Data for: Effect of Zirconium on the properties of polycrystalline Cu-Al-Be shape memory alloy
DOI: 10.5281/zenodo.2635580
title: Restart files for the v1309 scenario

description: Restart files and input files for the v1306 scenario from level 13 to level 15
DOI: 10.5281/zenodo.2635581
title: Restart files for the v1309 scenario

description: Restart files and input files for the v1306 scenario from level 13 to level 15
DOI: 10.17632/n6ddmtvxpk.1
title: Data for: Trajectory Generation via FIR Filters: a Procedure for Time-Optimization under Kinematic and Frequency Constraints

description: Matlab/Simulink toolbox for the automatic design of an optimal trajectory planner under kinematic and frequency specification. Type "help BuildTrajectoryGenerator" in the Matlab command window for a complete overview about this tool.
DOI: 10.5281/zenodo.2635467
title: MAJA look-up tables for Sentinel-2 A&B sensors, for Copernicus Atmosphere Monitoring Service aerosol types

description: The archive contains the Look-up tables used by MAJA atmospheric correction software, used to process Sentinel-2 A&B sensors. These look-up tables correspond to the aerosol types used by Copernicus Atmosphere Monitoring Service (CAMS). However, the default continental model is also provided.

Version 1.1 has new LUT for water vapour estimates, which corrects for a bias observed for large water vapour contents (above 2.5 g/cm2)

Version 1.2 just changed the Folder name for a better integration with Start_maja.
description: Just changed the folder name to reflect the way start_maja is used
DOI: 10.17632/rcrnct4p9m.1
title: Data for: Viticulture land use history as a determinant of contemporary regional development in Western Poland

description: Many regions in Europe have unique and characteristic landscapes, partly resulted from historical and/or current economic activities that become contemporary land mark. At present, it is a trend to show these unique features by emphasizing local traditions or recreating historical ones that are often forgotten a long time ago. Return to the former land use forms means the need for changes deliberately made and stimulated by regional policy. Regional policy means in that case both consent to the allocation of land for vine plantations, as well as the involvement of resources for assistance in these projects. Our analysis of historical documents indicated that the cities such as Zielona Góra, Gubin, Krosno, Sulechów and Świebodzin were in the past known European viticulture centres. In the past only in Zielona Gora locality thousands of hectares were designated to wine production. For the whole region, it was many times larger. The contemporary land use form described in the paper is strongly supported by the Marshal's Office of the Lubusz Voivodship (regional authority) as local ones (district offices, commune offices, local councils) as well. The area of vine plantations is growing year by year. The policy of the region supports its further growth. Up to date, following the strengthening the position of regions in Europe, their wine-making history is recognized, new production vineyards are created, and campaigns are launched to encourage vineyards and tasting local wines visits. Our study of regional economic trends revealed that oenological tourism has perceived as an important element of the economic development of historical wine-making regions and former vineyards. Museums, thematic parks, tourist routes and even wine spa are established. These activities are perfectly fit with agricultural tourism, creating an important group of the wine tourism and support interesting, individual forms and characteristics of regional culture. Based on the experiences of the Lubusz voivodship (Poland) a conceptual framework for the oenological tourism development was proposed for other Central and Eastern European, but also worldwide regions with the viticulture land use historic background.
DOI: 10.17632/vb6vt8frdk.1
title: Data for: Predicting High Confidence Errors in Eyewitness Memory: The Role of Face Recognition Ability, Decision-time, and Justifications

description: Data and variable list for "Predicting High Confidence Errors in Eyewitness Memory: The Role of Face Recognition Ability, Decision-time, and Justifications".
DOI: 10.5258/soton/d0190
title: Recordings of very high frequency sound and ultrasonic sources

description: Dataset supports: Dolder, C. et al (2018). Measurements of ultrasonic pest deterrents and an acoustically branded hairdryer: Ambiguities in guideline compliance. Journal of the Acoustical Society of America, 144(4), 2565-2574. [2565]Recordings made of noise sources that potentially have very high frequency or ultrasonic components.
DOI: 10.5258/soton/d0577
title: Database of Superfine Attributes for Peta

description: This dataset accompanies the paper:
Martinho-Corbishley, D., Nixon, M., & Carter, J. (2018). Super-fine attributes with crowd prototyping. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-14. DOI: 10.1109/TPAMI.2018.2836900
DOI: 10.5258/soton/d0588
title: Data files for A non-volatile chalcogenide switchable hyperbolic metamaterial

description: The dataset contains raw and processed data used in the paper “A non-volatile chalcogenide switchable hyperbolic metamaterial” published in Advanced Optical Materials.
DOI: 10.5258/soton/d0804
title: UV resonance switching dataset

description: Dataset for "Reconfigurable Ultraviolet and High-Energy Visible Dielectric Metamaterials" published in Nano Letters.
DOI: 10.5258/soton/d0852
title: Dataset for Isospin-breaking corrections and QED finite-volume effects for meson masses and the hadronic vacuum polarisation

description: This dataset contains the data shown in the plots in the PhD thesis "Isospin-breaking corrections and QED finite-volume effects for meson masses and the hadronic vacuum polarisation" by James Harrison.
DOI: 10.6073/pasta/f6148a54bfe7b44d723b9ce10f69bcd4
title: Coweeta LTER Synoptic Data from 49 sampling sites in the Upper Little Tennessee River Basin from 2009 to 2010 (Chemistry Data)

description: Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. This datasets includes stream chemistry data from both the winter and summer sampling events.  A whitepaper on the Synoptic field sampling activites can be found at: http://coweeta.uga.edu/publications/white%20paper%20summary%20of%20synoptic%20sampling.pdf
DOI: 10.5258/soton/d0606
title: Dataset for paper "A wavenumber domain numerical analysis of rail noise including the surface impedance of the ground"

description: Dataset for the paper  Jungsoo Ryue; Seungho Jang; David J Thompson (2018) "A wavenumber domain numerical analysis of rail noise including the surface impedance of the ground", accepted for publication in the Journal of Sound and Vibration, https://doi.org/10.1016/j.jsv.2018.06.032
DOI: 10.14469/hpc/5450
title: Azobenzene

description: Acid studies on azobenzene
DOI: 10.5281/zenodo.2634741
title: Drug-membrane transfer free energies for coarse-grained trimers and tetramers

description: The databases contain drug-membrane transfer free energies for coarse-grained Martini trimers and tetramers inserted in a one-component DOPC membrane. We also provide a database of atomistic-resolution compounds mined from the GDB and that map to trimers.
DOI: 10.5517/ccdc.csd.cc21s7nr
title: CCDC 1900134: Experimental Crystal Structure Determination

description: Related Article: Guoxiong Hua, Junyi Du, Cameron L. Carpenter-Warren, David B. Cordes, Alexandra M. Z. Slawin, J. Derek Woollins|2019|New J.Chem.|43|7035|doi:10.1039/C9NJ01059A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5258/soton/385677
title: Nontuberculous mycobacterial disease in children - epidemiology, diagnosis & management at a tertiary center

description: NTM database (PONE-D-15-10105)
description: Retrospective study
DOI: 10.5519/qd.4ajr6dhk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (103 records)
DOI: 10.3886/e109274v1
title: Data and Syntax for Examining Empirical Evidence for Features of Effective Science Teacher Professional Development

description: Developing and maintaining
a high-quality science teaching corps has become increasingly urgent with
standards that require students to move beyond mastering facts to reasoning and
arguing from scientific evidence. High-quality science teaching can help students
meet more rigorous standards, but teachers require support to meet the
challenge. Effective professional development (PD) for science
teachers enhances teacher outcomes and, in turn, enhances primary and secondary
student outcomes (Blank & de las Alas, 2009). Although proposed features of
effective PD have emerged, they have little empirical support. We conducted a
meta-analysis of 162 science PD intervention studies to investigate the
features of effective science PD by examining how effect sizes vary by research
design, study context, PD intervention characteristics, and outcomes of
interest. The findings refine prior estimates of the relationship among intensity,
duration, and effect size and provide insights into additional proposed features
of effective PD. <br><br><br><br><br>
description: <br>We included a variety of statistical adjustments including Winsorization of sample sizes and effect sizes, adjustment of sample sizes to account for clustering, and weighting of effect sizes using inverse variance weights. <br>
description: Published and unpublished manuscripts reporting findings from experimental and quasi-experimental studies of science teacher professional development interventions, written in English.<br>
DOI: 10.5061/dryad.1gj36nn/1
title: Dryad Item 10.5061/DRYAD.1GJ36NN/1

description: (:tba)
DOI: 10.5061/dryad.660d317/1
title: Dryad Item 10.5061/DRYAD.660D317/1

description: (:tba)
DOI: 10.5066/p9ktycnc
title: Geochemical and geophysical data for selected wells in and surrounding the South Cuyama oil and gas field

description: The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board and Bureau of Land Management compiled and analyzed data for mapping groundwater salinity in selected oil and gas fields in California. The data for the South Cuyama oil field includes well construction data, digitized borehole geophysical data, geochemical analyses of water samples from oil and gas wells and groundwater wells, geological formation depths, and the groundwater total dissolved solids (TDS) calculations. These data have been compiled from many sources and span several decades. The well construction data includes attributes such as the date drilling began (spud date), borehole orientation, well depth (measured and true), and depth of top and bottom producing perforations. These data have been in archived scanned pages in raster format on the Division of Oil, Gas, and Geothermal Resources (DOGGR) website. Similarly, the borehole geophysical data, measured by oil companies, has been archived in raster format by DOGGR. This project has converted the borehole geophysical data from selected oil and gas wells into a computer readable numerical format. The geochemical analyses have also been archived in scanned formats, but now have been compiled into numerical datasets. Selected borehole geophysical and geochemical data collected from nearby monitoring, domestic, and supply wells publicly accessible through various USGS online sources are also included. The data compiled and analyzed are part of the California State Water Resources Control Board's Program of Regional Monitoring of Water Quality in Areas of Oil and Gas Production and the USGS California Oil, Gas, and Groundwater (COGG) program.
DOI: 10.6073/pasta/2afb909efc72500d7cdb7b1beb880f34
title: Florida Bay Stable Isotope Data Everglades National Park (FCE), South Florida from January 2005 to Present

description: Productivity data collected during visits to TS/Ph 7a, TS/Ph8, TS/Ph9, TS/Ph10 and TS/Ph11. Graphic representation of seagrass status and trends monitoring data and other related information can be located at http://serc.fiu.edu/seagrass/!CDreport/DataHome.htm
DOI: 10.5519/qd.qxlp5w6o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23 records)
DOI: 10.5519/qd.smgnpjop
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (117 records)
DOI: 10.17632/mt75rzy4bw.1
title: Data for: Photoemission spectroscopy of rubrene thin films doped with heavy alkali metal: A first-principles investigation

description: The energy density-of-states spectra of alkali-rubrene complexes.