cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2017.212
title: Low carbon emissions  in the transport sectors in Thailand and Lao P.D.R

description: Transportation is the backbone driving the economy of a nation. It provides access to services for the masses and plays a vital role in determining the trend and pace of economic growth in a nation. Transport sectors in many countries have significant impact on energy consumption and energy-related CO2 emissions, affecting the energy security condition in those countries. Energy reduction and CO2 mitigation is a vital subject that many countries and international organizations have been focusing on due to the scarcity of fossil fuel supply to fulfil growing energy demand and dramatic increasing oil prices as well as environmental concerns. Thailand and Laos are developing countries located in Southeast Asia. In both countries, transport is the main consuming sector. In Thailand, transport is a major contributor for increasing energy demand and CO2 emissions. In 2010, this sector had a share of 35% of total energy consumption (TEC) and 26% of total CO¬2 emission with road transport accounting for 77% of TEC. Similarly, transport in Laos is also the main contributor with a share of 22% of TEC. As a land locked country, Laos depends heavily on road transport. In 2010, road transport accounted for 95% of total passenger travel and 88% of freight movement. This study’s purpose is to investigate the potential mitigation of LCS in road transport. Three scenarios were examined in the study, including LCS-L, LCS-M and LCS-H scenario, in order to analyse the transport energy consumption, and discuss energy saving and CO2 mitigation potential of implementation of countermeasures in both countries. The LCS-L, LCS-M, and LCS-H have lower, medium, and high levels of CO2 mitigation. The LSC actions include three mitigation actions, namely transport modal shifts, advanced technology, and bio-energy. This study considers 2010 as the base year for the projection of sector-wise transport demands up to 2050.Results show that in the LCS-H scenario, advanced technology and transport modal shifts have high potential for reduction in energy consumption while fuel switching has high potential for reduction in CO2 emissions in road transport of both countries. The LCSs scenarios also can reduce the energy demand along with energy-related CO2 emissions. Results show reduction in energy consumption and CO2 emissions for Thailand. Total energy consumption will increase from 19,551 ktoe in 2010 to 37,023 ktoe in 2050, with a growth rate of 89%. In the LCSs scenarios, the energy consumption in the counter measures will be reduced by 677 ktoe, 1,752 ktoe and 3,747 ktoe for LCS-L, LCS-M, and LCS-H scenarios, respectively, and result in CO2 mitigation of 3,921 kt-CO2, 7,660 kt-CO2, and 16,150 kt-CO2, respectively. For Laos, the total energy consumption will increase from 548 ktoe in 2010 to 2,339 ktoe in 2050. In the LCS-L scenario, the energy consumption will be reduced by 77 ktoe, 192 ktoe and 334 ktoe for LCS-L, LCS-M, and LCS-H scenarios respectively, and result in CO2 mitigation of 291 kt-CO2, 740 kt-CO2, and 1,367 kt-CO2, respectively.
DOI: 10.14457/tu.the.2017.214
title: Curable poly(lactic acid) copolymers microbeads and its use in cosmetic application

description: Biodegradable/biocompatible materials have attracted great interest in new globalization because of their degradability in natural environments. Recently, microplastics affect widely environment. Small plastics are long-lasting in nature and difficult for elimination. Among all available biodegradable materials, polylactic acid has received great attention due to its properties and providing specific functionality for developments. In this study, microbeads have been prepared from poly(lactic acid-co-glycidyl methacrylate) (P(LLA-co-GMA)) copolymers. This material can be crosslinked by employing thermo-curing reaction. Fabrications of microbeads were studied for developing their chemical and physical properties, and also tunable structures. This study proposes the two methods to improve the particle sizes. The first method is a suspension crosslinking. Effect of speed of stirring, types of surfactant and curing time are investigated. The second aimed to achieve narrow particle size distribution via a phase inversion emulsification (PIE) process. Effect of co-surfactant concentrations and the aqueous phase addition rate on efficiency of the particle formation are evaluated. Preparations of microbeads have been achieved, with spherical hollow particle. A hollow particle is applied for using booster SPF in sunscreen and cosmetic products. It significantly increases SPF value. Degradability of microbeads was investigated. Results found that microbeads can be degraded completely by hydrolytic degradation within 6 months. Microbeads morphology and their properties were characterized by different analytical techniques, such as Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC) and UV-Vis spectroscopy. In addition, this materials do not irritation on human skin. Therefore, these materials with tunable properties can be applied in many fields, especially in cosmetic application.
DOI: 10.14457/tu.the.2017.215
title: Automatic acne detection and quantification for medical treatment through image processing

description: About 85% of people age between 12 and 24 experience acne while the acnetreatment cost exceed $3 billion in U.S.A. Currently, dermatologists use manual skinassessment method such as visual and photography then manually mark and count acneon patient face which is time-consuming and subjective. This thesis proposed automaticacne segmentation method using adaptive thresholding, detection and quantificationusing Speeded Up Robust Features with novel feature extraction. The system appliedsupervised learning with Train and Test algorithm. After the training process, thecorrelated 6 designed features were found: Standard Deviation (SD) of Red, SD ofGreen, SD of Blue, Circularity, Entropy and Saturation Average that should be used foracne classification. The System classified and quantified acnes using K-NearestNeighbors algorithm. The results showed that the proposed method could efficientlydetected acne with 73% accuracy, 78% sensitivity and 90% precision on average.
DOI: 10.7483/opendata.opera.pukc.44v7
title: Emulsion data for tau neutrino appearance studies
DOI: 10.5281/zenodo.1250648
title: Mno_Observations_2003-2016_Derville.Et.Al_Fidding The Right Fit

description: This table contains geographic positions of humpback whale (<em>Megaptera novaeangliae</em>) group encounters recorded between 2003 and 2016 in New Caledonia.

Observations were obtained through crowdsourcing or research surveys conducted by Opération Cétacés and Institut de Recherche pour le Développement.

This data was used in Derville S, Torres LG, Iovan C, and Garrigue C. Finding the right fit: Comparative cetacean distribution models using multiple data sources and statistical approaches. Divers Distrib. 2018;00:1-17. https//doi.org/10.1111/ddi.12782
description: Latitude and longitude are provided in EPSG4326 format (a.k.a WGS84: http://spatialreference.org/ref/epsg/wgs-84/).
Dates of observations are provided in %Year-%month-%day format in New Caledonian Time (GMT + 11).
Humpback whale positions are labeled with "type = crowdsourced" or "type = research" depending on the source of the observation.
DOI: 10.5281/zenodo.1250313
title: Docker Images Analysis

description: This replication package is for the Docker container analysis submitted and accepted in SANER2019.

Paper title: On The Relation Between Outdated Docker Containers, Severity Vulnerabilities and Bugs

This replication package requires Python 3.5+ to be installed, and all the dependencies listed in ``requirements.txt``.<br>
They can be automatically installed using ``pip install -r requirements.txt``. <br>
The replication package also needs "docker" and "skopeo" (https://github.com/containers/skopeo) tools be installed. However, one can directly use the prepared data and analyze it, without the need to docker or skopeo.<br>
These experiments were executed on a Linux Ubuntu OS.

Content:<br>
    + notebooks: contains the notebook with the results and analysis.<br>
    + data: contains prepared data for the analysis<br>
    + scripts: contains other scripts needed for inspecting the images before analysis and extracting Debian packages from the Debian snapshot.

To obtain the analysis used in the paper, one should execute ``jupyter notebook`` at the root of this replication package, and open the notebook contained in ``notebooks``.

For the Data Extraction part, we relied on the tool of ConPan: https://github.com/neglectos/ConPan

The data is under the Creative Commons Attribution Share-Alike 4.0 license.<br>
The source code is under the GNU General Public License.
DOI: 10.5281/zenodo.1250809
title: Chatter Prediction Data_1

description: The files contain the machine tool configurations for two robot configurations which are used for milling process. They together can be used to train the ML algorithms to predict chatter.
DOI: 10.5281/zenodo.1250810
title: Chatter Prediction Data_1

description: The files contain the machine tool configurations for two robot configurations which are used for milling process. They together can be used to train the ML algorithms to predict chatter.
DOI: 10.5517/ccdc.csd.cc1zxfcp
title: CCDC 1844573: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Scott G. Stewart, Charles Heath|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: 10.6073/pasta/3b5aa791879f5d0997f101468d5bd5c6
title: Carbon quality regulates the temperature dependence of aquatic ecosystem respiration

description: Lakes are undergoing a variety of changes that may alter their role in
  the global carbon cycle. Lake temperatures are increasing at the same
  time that lakes in many regions are experiencing long-term increases
  in dissolved organic carbon (DOC) concentrations. The balance between
  rates of ecosystem respiration (ER) and gross primary production (GPP)
  is an important determinant of CO2 outgassing from lakes and thus it
  is important to understand factors regulating ER rates in these
  systems. Temperature is known to regulate rates of ER, but other
  factors have the potential to modulate this relationship. One such
  regulator may be the quality of the dissolved organic matter (DOM) in
  the system. Theory suggests that ER may increase more with temperature
  in lakes dominated by allochthonous, refractory material than in
  systems dominated by more autochthonous DOM. To test this theory, we
  conducted a mesocosm study where half of the mesocosms received water
  from a naturally occurring autochthonous DOM source and the other half
  from an allochthonous DOM source. We monitored water temperature and
  dissolved oxygen concentrations in each mesocosm using in-situ high
  frequency DO sensors. After 27 days we used this data to calculate
  daily ER for each mesocosm. We then related daily ER to mean nighttime
  temperature and tested whether the relationship was different in the
  two DOM treatments. Treatments dominated by allochthonous DOM had a
  greater temperature dependence of respiration than those dominated by
  autochthonous DOM. These results suggest that as lake temperatures
  continue to increase, ER will increase more in lakes dominated by
  allochthonous DOM than those dominated by autochthonous DOM.
DOI: 10.6073/pasta/da5fddc1bb22bfe6965b61cd2fd56ff1
title: Carbon quality regulates the temperature dependence of aquatic ecosystem respiration

description: Lakes are undergoing a variety of changes that may alter their role in
  the global carbon cycle. Lake temperatures are increasing at the same
  time that lakes in many regions are experiencing long-term increases
  in dissolved organic carbon (DOC) concentrations. The balance between
  rates of ecosystem respiration (ER) and gross primary production (GPP)
  is an important determinant of CO2 outgassing from lakes and thus it
  is important to understand factors regulating ER rates in these
  systems. Temperature is known to regulate rates of ER, but other
  factors have the potential to modulate this relationship. One such
  regulator may be the quality of the dissolved organic matter (DOM) in
  the system. Theory suggests that ER may increase more with temperature
  in lakes dominated by allochthonous, refractory material than in
  systems dominated by more autochthonous DOM. To test this theory, we
  conducted a mesocosm study where half of the mesocosms received water
  from a naturally occurring autochthonous DOM source and the other half
  from an allochthonous DOM source. We monitored water temperature and
  dissolved oxygen concentrations in each mesocosm using in-situ high
  frequency DO sensors. After 27 days we used this data to calculate
  daily ER for each mesocosm. We then related daily ER to mean nighttime
  temperature and tested whether the relationship was different in the
  two DOM treatments. Treatments dominated by allochthonous DOM had a
  greater temperature dependence of respiration than those dominated by
  autochthonous DOM. These results suggest that as lake temperatures
  continue to increase, ER will increase more in lakes dominated by
  allochthonous DOM than those dominated by autochthonous DOM.
DOI: 10.5281/zenodo.1249627
title: Amber Lipid17 Simulations Of Popc/Pops Membranes With Ca+2 Counterions

description: <strong>System: </strong>Simulations of POPC/POPS (5:1, 144 lipids in total) membranes with Ca+2 counterions

<strong>Number of POPS:</strong> 24.

<strong>Number of POPC</strong> 120.

<strong>Number of waters:</strong> 5760.

<strong>Number of Ions: </strong>12.

<strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].

<strong>Ion models: </strong> Li/Merz Ions [Li, P. <em>J. Chem. Theory Comput.</em> <strong>9</strong> 2733-2748 (2013)].

<strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].

<strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].

<strong>Number of independent repeats per setup: </strong>2.<br>
<strong>Trajectory lengths per repeat:</strong> 200 ns.<br>
<strong>Previously equilibrated for:</strong> 100 ns.<br>
<strong>Sampling rate:</strong> every 10 ps.

<strong>Time integration step:</strong> 2 fs.

<strong>Thermodynamic ensemble:</strong> NpT. <br>
<strong>Temperature coupling:</strong> 'Langevin' at T = 298 K.<br>
<strong>Pressure coupling: '</strong>Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys.</em> <strong>103</strong> 10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no surface tension.

<strong>Electrostatics: </strong>PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993);<em> J. Chem. Theory Comput.</em> <strong>9</strong> 3878 (2013)].<br>
<strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.

<strong>Constraints: </strong>Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem. </em><strong>13</strong> 952 (1992)].

<strong>Used in publications: </strong>OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).
description: B.K acknowledges financial support from International Max Planck Research School on Multiscale Bio-Systems
DOI: 10.5281/zenodo.1249628
title: Amber Lipid17 Simulations Of Popc/Pops Membranes With Ca+2 Counterions

description: <strong>System: </strong>Simulations of POPC/POPS (5:1, 144 lipids in total) membranes with Ca+2 counterions

<strong>Number of POPS:</strong> 24.

<strong>Number of POPC</strong> 120.

<strong>Number of waters:</strong> 5760.

<strong>Number of Ions: </strong>12.

<strong>Lipid model:</strong> Amber Lipid 17 [IR Gould, AA Skjevik, CJ Dickson, BD Madej, RC Walker: "Lipid17: A Comprehensive AMBER Force Field for the Simulation of Zwitterionic and Anionic Lipids" in prep. (2018)].

<strong>Ion models: </strong> Li/Merz Ions [Li, P. <em>J. Chem. Theory Comput.</em> <strong>9</strong> 2733-2748 (2013)].

<strong>Water model:</strong> TIP3P [WL Jorgensen, J Chandrasekhar, JD Madura, RW Impey, ML Klein <em>J. Chem. Phys.</em> <strong>79</strong> 926 (1983)].

<strong>Simulation engine:</strong> Amber16 [DA Case et al. <em>AMBER 2017</em> UCSF (2017)].

<strong>Number of independent repeats per setup: </strong>2.<br>
<strong>Trajectory lengths per repeat:</strong> 200 ns.<br>
<strong>Previously equilibrated for:</strong> 100 ns.<br>
<strong>Sampling rate:</strong> every 10 ps.

<strong>Time integration step:</strong> 2 fs.

<strong>Thermodynamic ensemble:</strong> NpT. <br>
<strong>Temperature coupling:</strong> 'Langevin' at T = 298 K.<br>
<strong>Pressure coupling: '</strong>Berendsen' [<em>J. Chem. Phys.</em> <strong>81</strong> 3684 (1984); <em>J. Chem. Phys.</em> <strong>103</strong> 10252 (1995)] with xy and z coupled separately at p = 1.0 bar with no surface tension.

<strong>Electrostatics: </strong>PME [<em>J. Chem. Phys.</em> <strong>98</strong> 10089 (1993);<em> J. Chem. Theory Comput.</em> <strong>9</strong> 3878 (2013)].<br>
<strong>Van der Waals:</strong> Turned off between 1.0 nm and 1.5 nm.

<strong>Constraints: </strong>Lengths of covalent bonds involving Hydrogens in lipids using SHAKE [<em>J. Comput. Phys.</em> <strong>23</strong> 327 (1977)], in water using SETTLE [<em>J. Comput. Chem. </em><strong>13</strong> 952 (1992)].

<strong>Used in publications: </strong>OHS Ollila et al. "NMRlipids IV: Headgroup & glycerol backbone structures, and cation binding in bilayers with PS lipids" in prep (2018).
description: B.K acknowledges financial support from International Max Planck Research School on Multiscale Bio-Systems
DOI: 10.17632/77k4gy7665.1
title: Fiscal policy coordination in currency unions at the effective lower bound: replication files

description: Files allow to replicate the results in "Fiscal policy coordination..."
DOI: 10.17632/c3wkbfh9rw.2
title: FT-IR, FT-Raman and UV-visible Spectral Data - Pyrogallol

description: The Fourier Transform Infra Red (FT-IR) spectrum of pyrogallol was recorded in the region 4000 - 400 cm-1 using Perkin Elmer-Spectrum Two FT-IR/ATR Spectrometer system with 0.5 cm-1 resolution at St.Peters University, Chennai. The FT-Raman spectrum of pyrogallol was recorded in the region 4000 - 40 cm-1 on a Bruker RFS 27 Stand alone FT-Raman Spectrometer system with 2 cm-1 resolution using the 1064 nm line of Nd:YAG laser for excitation operating at 100 mW power at IIT Madras, Chennai. The Ultraviolet Visible (UV-Vis) spectrum of pyrogallol was measured in the wavelength ranging 190-1100 nm, Bandwidth 0.5 - 4 nm (variable) using Perkin Elmer-Lambda 35 UV Winlab V6.0 Spectrometer at St.Peters University, Chennai.
DOI: 10.17632/w5fhx62m33.1
title: Data from: Shell morphometric variation of Ameghinomya antiqua (Mollusca, Bivalvia) during the late Quaternary reflects environmental changes in North Patagonia, Argentina

description: Mollusk shells have shown to be useful as biological proxies for palaeo environmental reconstructions. In this study we perform an integral assessment of geometric morphometrics of Ameghinomya antiqua shells from San Matías Gulf (SMG) (Patagonia, Argentina) with special attention on the protected natural area Caleta de Los Loros. In order to relate morphological variation with environmental changes, we analyzed size and shape variation from Holocene and modern shells (temporal variation) and from within the gulf (spatial variation) by carrying out landmark and semilandmark morphometrics studies. Results showed that Holocene shells were rounder and larger than modern ones, with posterior muscle scar, cardinal teeth and ligament more developed. These features in Holocene shells from Caleta de Los Loros could be a response to a higher degree of mechanical stability in a high-energy habitat. Besides, morphometric differences in modern shells in SMG could be linked to variations in wave action, tidal influences, sea surface temperature and/or substrate, which modify the shape and size of this species. This study allows highlighting the phenotypic plasticity of A. antiqua as a possible response to different environmental conditions making this species a good proxy when evaluating environmental changes.
DOI: 10.5517/ccdc.csd.cc14bzfw
title: CCDC 1053238: Experimental Crystal Structure Determination

description: Related Article: Stefan J. Diez, Mark D. Eddleston, Mihails Arhangelskis, Marie Milbled, Matthias J. Müller, Andrew D. Bond, Dejan-Krešimir Bucar, William Jones|2018|Cryst.Growth Des.|18|3263|doi:10.1021/acs.cgd.8b00114
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/j4mgm4v9t3.1
title: DDX41 Recognizes RNA/DNA Retroviral Reverse Transcripts and Is Critical for In Vivo Control of Murine Leukemia Virus Infection

description: The data in this file are from the paper: DDX41 Recognizes RNA/DNA Retroviral Reverse Transcripts and Is Critical for In Vivo Control of Murine Leukemia Virus Infection.
DOI: 10.17632/j4mgm4v9t3.2
title: DDX41 Recognizes RNA/DNA Retroviral Reverse Transcripts and Is Critical for In Vivo Control of Murine Leukemia Virus Infection

description: The data in this file are from the paper: DDX41 Recognizes RNA/DNA Retroviral Reverse Transcripts and Is Critical for In Vivo Control of Murine Leukemia Virus Infection.
DOI: 10.17632/sf5n64hydt.1
title: Cancer Types: RNA Sequencing Values from Tumor Samples/Tissues

description: samples: 2086 genes: 971 categories: 5 (BRCA, KIRC, LUAD, LUSC, UCEC) . [data: 2086x972 double] - each row contains a specific sample - each column contains the RPKM RNA-Seq values of a specific gene - the last column contains the cancer categories encoded numerically: 1=BRCA , 2=KIRC, 3=LUAD, 4=LUSC, 5=UCEC . [geneIds: 1x971 cell] - each cell contains the name/gene ID of every gene stored in each column . [cancerTypes: 2086x1 cell] - each cell contains the category of every sample stored in each row . [1] BRCA: 878 [2] KIRC: 537 [3] LUAD: 162 [4] LUSC: 240 [5] UCEC: 269 (#) in total: 2086