cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1z20sv
title: CCDC 1819197: Experimental Crystal Structure Determination

description: Related Article: Chandan Kr Barik, Rakesh Ganguly, Yongxin Li, Weng Kee Leong|2018|Inorg.Chem.|57|7113|doi:10.1021/acs.inorgchem.8b00838
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: 10.17632/7922pbwhf7.1
title: NGS raw sequencing data

description: The raw data generated during sequencing was processed using the Torrent Server Suite 4.2 (Thermo Fisher Scientific).
DOI: 10.5258/soton/d0287
title: Energy harvesting Aided Device-to-Device Communication in the Over-Sailing Heterogeneous Two-Tier Downlink

description: This is research data associated with recently accepted IEEE Access journal titled 'Energy Harvesting Aided Device-to-Device Communication in the Over-Sailing Heterogeneous Two-Tier Downlink'.Abstract: Device-to-Device (D2D) communication and heterogeneous networks have been considered as promising techniques for alleviating the demand both for increased spectral resources and for additional infrastructure required for meeting the increased tele-traffic. For the sake of improving both the bandwidth efficiency and the network capacity of heterogeneous cellular networks constituted by multiple tiers, a direct D2D communication is arranged between a pair of nearby devices without involving the base station (BS), whilst reusing the cellular resources. We aim for maximising the sum-rate of the energy harvesting (EH) aided D2D links in a two-tier HetNet by superimposing their messages on the downlink resources of mobile users (MUs), which is achieved without unduly degrading MU's throughput. Specifically, our optimization problem relies on the objective function of maximising the D2D sum-rate based on the joint assignment of both the resource blocks (RBs) and of the transmission power for both the EH aided D2D links and for the MUs. This non-convex optimization problem, which is intractable in its original form, is then converted to a tractable convex problem, which is then analyzed by invoking the method of Lagrange multipliers of constrained optimization. As a result, an algorithmic solution defined as 'joint optimization of RB and power allocation (JORPA)' is proposed, which jointly allocates the RBs and power for the D2D links, whilst relying on the results of Lagrangian constrained optimization, when the base stations (BSs) of different tiers obey one of the following regimes: (a) orthogonal, (b) co-channel and (c) the proposed co-orthogonal channel deployments. We also propose low complexity heuristic methods for optimising the D2D transmit power while defining the D2D-MU matching heuristically and vice versa. The performance of both the JORPA algorithm as well as of the low-complexity heuristic algorithms is quantitatively analysed using our simulation results for different channel deployments relying on diverse network parameter settings. As expected, orthogonal deployment performs best, followed by  the co-orthogonal  and co-channel deployments. Moreover, the throughput experienced by the MUs in presence of D2D communication is guaranteed by our co-orthogonal scheme as well as orthogonal scheme, while co-channel suffers a marginal degradation when compared with throughput threshold. We also demonstrate that our 'equal power allocation (EPA)' heuristic method is capable of achieving 96% of the sum-rate achieved JORPA while other heuristic methods perform less well, implying that the optimization of the D2D-MU matching is indeed crucial for the system considered.
DOI: 10.5517/ccdc.csd.cc1z20vx
title: CCDC 1819199: Experimental Crystal Structure Determination

description: Related Article: Chandan Kr Barik, Rakesh Ganguly, Yongxin Li, Weng Kee Leong|2018|Inorg.Chem.|57|7113|doi:10.1021/acs.inorgchem.8b00838
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.cc1zjhss
title: CCDC 1833116: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Shintaro Kodama, Youichi Ishii|2018|Organometallics|37|1649|doi:10.1021/acs.organomet.8b00203
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.cc1zjhvv
title: CCDC 1833118: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Shintaro Kodama, Youichi Ishii|2018|Organometallics|37|1649|doi:10.1021/acs.organomet.8b00203
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.cc1zjk79
title: CCDC 1833161: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Shintaro Kodama, Youichi Ishii|2018|Organometallics|37|1649|doi:10.1021/acs.organomet.8b00203
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.cc1zlwhy
title: CCDC 1835401: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Takahashi, Shintaro Kodama, Youichi Ishii|2018|Organometallics|37|1649|doi:10.1021/acs.organomet.8b00203
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: 10.17632/5rnns59kkd.1
title: Vascular canal size at both sides of the neonatal line in the limb bones of Equus

description: Raw data on longitudinal vascular canals' size (area) obtained from measurements with Image J software, on areas of 2.6x2.2 mm, in the antero-medial region of several limb bones (femur, tibia, metacarpus and metatarsus), at both sides of the neonatal line and in different Equus species (Equus hemionus, Equus quagga and Equus grevyi)
DOI: 10.17632/7ch3xx79gv.1
title: ARID1A regulates RNAPII pausing in ovarian clear cell carcinoma

description: Immunoblots were made to check knock-down levels for ARID1A and ARID1B, overexpression and time-course regulation for ARID1A and ARID1B, and protein levels for pausing factors as RNAPII, NELF and SPT5.
DOI: 10.17632/kmps9v9y6c.1
title: A temperature-dependent shift in dietary preference expands the viable temperature range of Drosophila

description: At low temperature, Drosophila reared on food composed of plants survive better than those reared on yeast. Plant food allows Drosophila to increase membrane fluidity when temperature drops. To understand how diet and temperature affect membrane fluidity, we performed shotgun lipidomics on Drosophila larvae (minus the gut) raised at 10, 13, 20 and 30 ˚C. This dataset includes all the measurements from these experiments. These data show that flies require plant-derived lipids to accumulate significant amounts of polyunsaturated fatty acids in membrane lipids, and to tune fatty acid unsaturation in response to temperature. They also reveal other temperature-dependent lipidomic changes that occur independently of diet. For example, flies increase the ratio of PE to PC as temperature drops. All values are expressed in pmol/individual and for each condition biological triplicates were measured as technical duplicates so for each temperature and food condition there are in total 6 measurements. The data is separated into three individual excel sheets dealing with lipid classes, sterol and lipid species composition.
DOI: 10.15129/aca1eeb1-80ab-485d-8307-3e2289631a9d
title: Data for: "Relativistic Doppler-boosted gamma-rays in High Fields"

description: The attached data corresponds to the simulation results included in the article "Relativistic Doppler-boosted gamma-rays in High Fields". The dataset comprises of 9 files of simulation data created using EPOCH version 4.8.3.
DOI: 10.17632/7fk4n7ych7.1
title: Chemistry reference data 2018

description: This is the raw data for our samples of references from 600 articles in 10 ACS articles 2011-2105 downloaded from Scopus. We did an initial round of corrections to the "document type" field as Scopus occasionally records books and other items as "articles" when they are not, but we made some subsequent corrections during the analysis so this field should be checked if you are interested in source types. The journal titles are NOT standardized here, we did that during the analyses. If some clever soul could write a routine for standardizing journal titles that would be awesome and save a lot of work!
DOI: 10.5258/soton/d0297
title: Wide-field Time-resolved Particle Image Velocimetry data of a turbulent boundary layer

description: This dataset consists of time-resolved PIV data of a turbulent boundary layer over a wide field of view with very good spatial and temporal resolution. The data is only available for the bottom half of the boundary layer.In each Run, each vector field is stored in a .mat file (Matlab).The time delay between each vector field is 0.001 second (1kHz acquisition frequency).The name of the files in each Run contains a number, from 1 to 5004 (except for Run 5,  which contains files numbered from 1 to 4883). The file number represents the acquisition order (1 is the first).Each file contains 4 matrices, X, Y, U, V.   X and Y are the coordinates of the vectors stored in the matrices of the velocity vectors, U and V. U is the matrix containing the streamwise components of the velocity field, while V is the matrix containing the wall-normal components of the velocity field. The measurement units are in the international system, therefore the coordinates are in meters, while the components of the velocity vectors are in meters per seconds.Data in the matrices are ordered such that increasing rows in the matrices represent increasing wall-normal positions, and increasing columns in the matrices represent increasing streamwise distances.The characteristics of the turbulent boundary layer flow are the following.
Free-stream velocity, U_{\inf} = 0.67 m s−1 ; boundary layer thickness, δ = 0.1 m; friction velocity, Uτ = 0.027 m/s; and the Reynolds number, Re_\tau = 2700.If you use this dataset, please cite the following papers:
1) de Kat, R & Ganapathisubramani, B (2015) Frequency-wavenumber mapping in turbulent shear flows. J Fluid Mech 783:166–190. doi:10.1017/jfm.2015.558.2) Fiscaletti, D, de Kat R, Ganapathisubramani, B (2018), Spatial-spectral characteristics of momentum transport in a turbulent boundary layer.
doi:10.1017/jfm.2017.841This dataset can be requested via http://library.soton.ac.uk/datarequest
DOI: 10.6073/pasta/1509f8fe4f02a43dd12791761f24c0a5
title: Time series of high-frequency profiles of depth, temperature, dissolved oxygen, conductivity, specific conductivity, chlorophyll a, turbidity, pH, and oxidation-reduction potential for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in Southwestern Virginia, USA 2013-2017

description: Depth profiles of depth, temperature, dissolved oxygen, conductivity,
  specific conductivity, chlorophyll a, turbidity were collected with a
  CTD (Conductivity, Temperature, and Depth) profiler fitted with a SBE
  43 Dissolved Oxygen sensor and an ECO Triplet Fluorometer and
  Backscattering Sensor from 2013 to 2017. In 2017, pH and
  oxidation-reduction potential (ORP) were also collected with a SBE 27
  pH and O.R.P. (redox) sensor. CTD profiles were collected in five
  drinking water reservoirs in southwestern Virginia, USA. All variables
  are measured every 0.25 seconds, resulting in depth profiles at
  approximately ten centimeter resolution. The five reservoirs are:
  Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir
  (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia),
  Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir
  (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring
  Hollow Reservoirs are owned and operated by the Western Virginia Water
  Authority as primary or secondary drinking water sources for Roanoke,
  Virginia, and Gatewood Reservoir is a drinking water source for the
  Town of Pulaski, Virginia. The dataset consists of CTD depth profiles
  measured at the deepest site of each reservoir adjacent to the dam as
  well as other reservoir sites on a transect upstream in Carvins Cove
  Reservoir and Falling Creek Reservoir. The profiles were collected
  approximately fortnightly in the spring months, weekly in the summer
  and early autumn, and monthly in the late autumn and winter.
DOI: 10.6073/pasta/8641cd36eb478572c08e19d616599898
title: Biodiversity tipping bucket rain gauge data - By Event

description: These data are collected to provide a measurement of rainfall at the Biodiversity site. They are detailed records providing a time stamp of month/day/year hour:minute:second for each tip of the tipping bucket rain gauge (equal to 0.1 mm of precipitation).
DOI: 10.17632/vdz3rr8x6x.1
title: Data for: Immunomodulatory effect of Celecoxib on HMGB1/TLR4 pathway in a recurrent seizures model in immature rats.

description: The video shows an immature sham rat (left side) and an immature rat with i.p. of kainic acid (right side) that has developed seizures phase IV.
DOI: 10.5258/soton/d0499
title: Data for "Chalcogenide glass waveguides with paper-based fluidics for mid-infrared absorption spectroscopy"

description: Dataset supports:
Mittal, V. et al. (2018). Chalcogenide glass waveguides with paper-based fluidics for mid-infrared absorption spectroscopy. Optics letters
DOI: 10.6073/pasta/874b0616b0b7d5598ceedbb6a20f0a3c
title: Biodiversity tipping bucket rain gauge data - Daily Summary

description: These data are collected to provide a measurement of rainfall at the Biodiversity site. They are Daily Summary data providing daily totals for those dates that precipitation occurred. Values are in millimeters (mm).
DOI: 10.6073/pasta/fcfa2332c9afc20525f023fbbcedce9d
title: Conmod Pilot Study:  Connectivity Microplot Repeat Photos

description: Repeat digital groundbased photos are taken once to twice a year to document plant litter and
    soil deposition or removal by wind and water transport on ten microplots located on each of the
    8 plots at each of the Aeolian, Dona Ana, and Gravelly Ridges sites. Five photos are taken of
    each microplot: One overhead (from directly over the microplot) and 4 lateral views at ground
    level of the microplot from each cardinal direction.
   Digital filenames are fully descriptive of the site, plot, microplot, photo view, and date taken.
   Photo filename structure:
      Example: A1-1E_20101109_IMG_1006368.jpg
               12-34_55556677_88888888888.jpg
         Where 1 = site: A=Aeolian: D=Dona Ana; G=Gravelly Ridges
               2 = plot (1-8)
               3 = microplot (1-10)
               4= photo view (O=overview; E=looking east; N=looking north; S=looking south; W=looking west
               5-6-7 = year month day of photo
               8 = original image number assigned by camera
DOI: 10.6073/pasta/fd15418ddc7f48462bba28dcbc4e30a2
title: Conmod Pilot Study:  BSNE Dust Collection Data

description: There are 3 sites for this study:  Gravelly Ridges, Aeolian, and Dona Ana.  Within each site,
    there are 8 plots.  The plots are 8x8 meters and have an 8x8 buffer zone on both sides of the
    plot (up and down).  There are four BSNE stands for each plot, 2 in each of the 2 buffer zones
    (8 collectors per plot).  Each stand contains 2 BSNE collectors with the collection opening at
    10cm and 30cm height and an opening of 2 cm wide and 5 cm height.  These BSNE collectors are in
    a fixed position pointing into the direction of the prevailing wind, which corresponds to the
    plot alignment.  The collectors in the upwind buffer are facing away from the plot and the
    collectors in the downwind buffer are facing into the plot.  The idea is the upwind BSNEs
    measure the amount of dust entering the plot, and the downwind BSNEs measure the amount of dust
    moving off the plot.  This provides a measure of the effectiveness of the plot obstructions to
    wind blown dust.  It is important the BSNEs are fixed in an orientation that points across the
    full length of the plot.
DOI: 10.13135/ela-201
title: Honours for Dionysius of Syracuse
DOI: 10.5281/zenodo.1253000
title: A Neat Approach To Mobile Communication

description: The demands for mobile communication is ever increasing. Mobile applications are increasing both in numbers and in heterogeneity of their requirements, and an increasingly diverse set of mobile technologies are employed. This creates an urgent need for optimizing end-to-end services based on application requirements, conditions in the network and available transport solutions; something which is very hard to achieve with today’s internet architecture. In this paper, we introduce the NEAT transport architecture as a solution to this problem. NEAT is designed to oer a exible and evolvable transport system, where applications communicate their transport-service requirements to the NEAT system in a generic, transport-protocol independent way. The best transport option is then congured at run-time based on application requirements, network conditions, and available transport options. Through a set of real life mobile use case experiments, we demonstrate how applications with dierent properties and requirements could employ the NEAT system in multi-access environments, showing signicant performance benets as a result.
DOI: 10.5281/zenodo.1253001
title: A Neat Approach To Mobile Communication

description: The demands for mobile communication is ever increasing. Mobile applications are increasing both in numbers and in heterogeneity of their requirements, and an increasingly diverse set of mobile technologies are employed. This creates an urgent need for optimizing end-to-end services based on application requirements, conditions in the network and available transport solutions; something which is very hard to achieve with today’s internet architecture. In this paper, we introduce the NEAT transport architecture as a solution to this problem. NEAT is designed to oer a exible and evolvable transport system, where applications communicate their transport-service requirements to the NEAT system in a generic, transport-protocol independent way. The best transport option is then congured at run-time based on application requirements, network conditions, and available transport options. Through a set of real life mobile use case experiments, we demonstrate how applications with dierent properties and requirements could employ the NEAT system in multi-access environments, showing signicant performance benets as a result.
DOI: 10.5281/zenodo.1253006
title: Input Template For Casoft

description: This file may be used for using CA Software
DOI: 10.5258/soton/d0531
title: Data for "Formation of surface trailing counter-rotating vortex pairs downstream of a sonic jet in a supersonic crossflow"

description: Data set for Paper "Formation of surface trailing counter-rotating vortex pairs downstream of a sonic jet in a supersonic crossflow" published in Journal of Fluid Mechanics.The files are named by the figure numbers, e.g. figure3a.lpk, together with figure3a.dat, contain all data for Figure 3(a) in the paper, and can be opened by Tecplot.
DOI: 10.5258/soton/d0532
title: Data for Self-assembled porphyrazine-nucleoside on DNA templates

description: Spectroscopic data of binding of compounds 1 and 2 to selected DNA sequences as described in the main text. Includes absorbance, fluorescence and CD data.Data supports the paper: Stulz, E., Berry, A., Ishutkina, M., Khelevina, O., Siligardi, G., & Hussain, R. (2018). Self‐assembled porphyrazine‐nucleoside on DNA templates: highly fluorescent chromophore arrays and sizing forensic tandem repeat sequences. European Journal of Organic Chemistry. DOI: 10.1002/ejoc.201800683
DOI: 10.5287/bodleian:j54dzvpnq
title: Evolution of magneto-orbital order upon B-site electron doping in Na1−xCaxMn7O12 quadruple perovskite manganites: Data archive
DOI: 10.5517/ccdc.csd.cc1zy9ks
title: CCDC 1845416: Experimental Crystal Structure Determination

description: Related Article: Jean-Pierre Djukic, Mustapha Hamdaoui|2018|CSD Communication|||
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.cc1zy9lt
title: CCDC 1845417: Experimental Crystal Structure Determination

description: Related Article: Jean-Pierre Djukic, Mustapha Hamdaoui|2018|CSD Communication|||
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.cc1zy9mv
title: CCDC 1845418: Experimental Crystal Structure Determination

description: Related Article: Jean-Pierre Djukic, Mustapha Hamdaoui|2018|CSD Communication|||
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.cc1zy9nw
title: CCDC 1845419: Experimental Crystal Structure Determination

description: Related Article: Jean-Pierre Djukic, Mustapha Hamdaoui|2018|CSD Communication|||
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.