cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/sthfy/8bp3pv
title: petitions.xlsx
DOI: 10.7910/dvn/uskmw/kmhlzv
title: petitions.xlsx
DOI: 10.7910/dvn/uvtz0/dkjywh
title: petitions.xlsx
DOI: 10.7910/dvn/vkfwy/f5vard
title: petitions.xlsx
DOI: 10.7910/dvn/wmg1x/sjhxeq
title: petitions.xlsx
DOI: 10.7910/dvn/xexzh/ltnvjw
title: petitions.xlsx
DOI: 10.7910/dvn/yokwo/bavliy
title: petitions.xlsx
DOI: 10.7910/dvn/yu10x/f0pakd
title: petitions.xlsx
DOI: 10.7910/dvn/01eqq/nsv8m7
title: petitions.xlsx
DOI: 10.7910/dvn/11tkf/niryuh
title: petitions.xlsx
DOI: 10.7910/dvn/1rc9c/ovp1js
title: petitions.xlsx
DOI: 10.7910/dvn/2obmn/itszak
title: petitions.xlsx
DOI: 10.7910/dvn/2z3ck/kdmun4
title: petitions.xlsx
DOI: 10.7910/dvn/3ymbv/bbqzfd
title: petitions.xlsx
DOI: 10.7910/dvn/3zppk/nkgcci
title: petitions.xlsx
DOI: 10.7910/dvn/7dfvp/mgf0vx
title: petitions.xlsx
DOI: 10.7910/dvn/braph/uyeyed
title: petitions.xlsx
DOI: 10.7910/dvn/buole/xqqzmc
title: petitions.xlsx
DOI: 10.7910/dvn/crjdf/goeupv
title: petitions.xlsx
DOI: 10.7910/dvn/dhml8/esysb2
title: petitions.xlsx
DOI: 10.7910/dvn/fwemu/py484w
title: petitions.xlsx
DOI: 10.7910/dvn/glc2b/zyecdc
title: petitions.xlsx
DOI: 10.7910/dvn/hrgic/plojzs
title: petitions.xlsx
DOI: 10.7910/dvn/hzxhb/djhjjd
title: petitions.xlsx
DOI: 10.7910/dvn/k8m1t/h4mu0s
title: petitions.xlsx
DOI: 10.7910/dvn/kx6z2/i40o7f
title: petitions.xlsx
DOI: 10.7910/dvn/lejk5/duvjg4
title: petitions.xlsx
DOI: 10.7910/dvn/o96ei/bn41im
title: petitions.xlsx
DOI: 10.7910/dvn/pbjvz/pr8fig
title: petitions.xlsx
DOI: 10.7910/dvn/pc7l0/udm1zf
title: petitions.xlsx
DOI: 10.7910/dvn/pxxue/tquvdz
title: petitions.xlsx
DOI: 10.7910/dvn/rreoy/ugzlz5
title: petitions.xlsx
DOI: 10.7910/dvn/tgucb/pkle57
title: petitions.xlsx
DOI: 10.7910/dvn/v3qji/yczsed
title: petitions.xlsx
DOI: 10.7910/dvn/vjnbz/6oqgmq
title: petitions.xlsx
DOI: 10.7910/dvn/wm1ew/s8zo43
title: petitions.xlsx
DOI: 10.7910/dvn/xffll/lpvhd0
title: petitions.xlsx
DOI: 10.7910/dvn/xqup8/kvnb0o
title: petitions.xlsx
DOI: 10.7910/dvn/xscva/2kgqrf
title: petitions.xlsx
DOI: 10.7910/dvn/yv5mr/8uabsr
title: petitions.xlsx
DOI: 10.7910/dvn/zvsko/bvglc2
title: petitions.xlsx
DOI: 10.17632/6j5njydghx.2
title: The genotypes of green frogs from Western Ukraine

description: The file contains genotype data of 91 individuals of green frogs, collected in water bodies of Western Ukraine. Seven microsatellite loci were used: Rrid059А, Rrid082А, Rrid171, RlCA1b5, Res16, Res22, RlCA19
DOI: 10.17632/kyvd29yxcj.1
title: Sensitivity of some Micronutrient Composition in two Nigerian Peppers to Treatment with Different Mutagens

description: This study was aimed at evaluating the mutants of two pepper varieties induced with different levels of three mutagens with a view of selecting mutant with higher biochemical content. Healthy dry seeds of two pepper accession (“Shombo” and “Tatase”) were used for the study. The seeds were divided into 13 sets:1 set which served as the control was untreated, 4 sets were exposed to varied gamma irradiation doses of 50, 100, 150 and 200 Gy(Grey) in the Gamma Irradiation Facility (GIF) at Nuclear Technology Centre (NTC), Sheda Science and Technology Complex, Abuja. Another 4 sets were exposed to varied X-rays doses of 40, 60, 80 and 100 KV, maintaining 5 mA per second for all the X – ray doses in the Radiology section, Veterinary Teaching Hospital, University of Nigeria, Nsukka. The remaining 4 sets were soaked in varied sodium azide concentrations of 0.01, 0.02, 0.03 and 0.04 % for 6hrs after pre-soaking the seeds for 6hrs in distilled water. The sodium azide solution was prepared by weighing 0.01, 0.02, 0.03, 0.04 g sodium azide powder using OHAUS AR3130 weighing balance and dissolved in 100ml of distilled water and shaken. This was carried out at the National Centre for Energy Research and Development, University of Nigeria, Nsukka. The seeds were nursed according to the separate treatments in nursery baskets filled with well filtered top soil mix with poultry manure according to Uguru (1999) and watered daily. Seedlings were then transplanted at 6 weeks when the seedlings were 5 to 10 cm tall to individual polybags filled with similar soil-manure mix in the Botanical Garden of the University of Nigeria, Nsukka. The experiment was carried out using a 3 x 5 factorial experimental design laid out in a completely randomized design (CRD) of 10 replications for each set of treatments. The fruits were collected at harvest for biochemical analysis. The biochemical studies were carried out at the the Department of Crop Science Teachingand Research Laboratory, University of Nigeria, Nsukka. The fruits of each treatment studied were collected from the sample plants in each treatment into a bag where the fruits were mixed together and selected at random. The parameters evaluated were β – carotene, total carotenoids, capsaicin, ascorbic acid, proximate composition which includes crude proteins, crude fat, fibre, moisture and ash; the phytochemicals are flavonoids, alkaloids, tannin and phytate; and some mineral elements (iron, zinc and calcium). β – carotene, total carotenoids, ascorbic acid, proximate composition, flavonoids, phytate, iron, zinc and calcium were determined using the official methods described by the Association of Official Analytical Chemists (AOAC, 2005). Tannin was determined according to Folin Denis Spectrophotometric method (Pearson, 1976) while alkaloid was determined using a modified method described by Harbone (1973).
DOI: 10.5281/zenodo.1688740
title: Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"

description: Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach".

Includes both the generated datasets as a zip archive and the python script used to generate them.

Each instance is composed of two files in the form


	XxY_K_O_0xN_AxB_Smatrix.tsv being the matrix to use. Each row on a separate line, with tab-separated cells.
	XxY_K_O_0xN_AxB_Ssolution.txt giving the implanted solution. One submatrix per line. Then two JSON arrays follow, separated by a tabulation. The first is the list of rows selected in the submatrix, the second the columns.


With:


	X and Y the size of the matrix
	K the number of submatrices in the implanted solution
	O the (minimum) overlap percentage of each submatrix
	N the sigma used for the background noise
	A and B the size of the implanted submatrices (subject to noise)
DOI: 10.7910/dvn/1eehf/pvfmcc
title: petitions.xlsx
DOI: 10.7910/dvn/28995/hw6wf3
title: Mortality.monthly_Punjab.India_1916.1921.xlsx
DOI: 10.7910/dvn/28995/n7ep1y
title: Mortality.monthly_Punjab.India_1916.1921.xlsx
DOI: 10.7910/dvn/28995/yg7unp
title: Mortality.monthly_Punjab.India_1916.1921.xlsx
DOI: 10.7910/dvn/4boya/gfjyqw
title: petitions.xlsx
DOI: 10.7910/dvn/59jei/f1lcc6
title: petitions.xlsx
DOI: 10.7910/dvn/64uyh/jtpzbk
title: petitions.xlsx
DOI: 10.7910/dvn/7swso/dx4hvj
title: petitions.xlsx
DOI: 10.7910/dvn/a8uxn/4hkon9
title: petitions.xlsx
DOI: 10.7910/dvn/dkife/x07dt9
title: petitions.xlsx
DOI: 10.7910/dvn/e7ral/sj1nh4
title: petitions.xlsx
DOI: 10.7910/dvn/ennrb/1raaht
title: petitions.xlsx
DOI: 10.7910/dvn/fbakq/2fmrmg
title: petitions.xlsx
DOI: 10.7910/dvn/fjxis/ovwkhd
title: petitions.xlsx
DOI: 10.7910/dvn/gjuf8/cvvv63
title: petitions.xlsx
DOI: 10.7910/dvn/h80wr/cfqnkp
title: petitions.xlsx
DOI: 10.7910/dvn/i8pzr/dxe3ba
title: petitions.xlsx
DOI: 10.7910/dvn/iuctr/kikdud
title: petitions.xlsx
DOI: 10.7910/dvn/jq8tp/zk4b7r
title: petitions.xlsx
DOI: 10.7910/dvn/l4tef/akd6ji
title: petitions.xlsx
DOI: 10.7910/dvn/lei7r/jid3eh
title: petitions.xlsx
DOI: 10.7910/dvn/lmldl/swcjv4
title: petitions.xlsx
DOI: 10.7910/dvn/mtnvu/6atcbi
title: petitions.xlsx
DOI: 10.7910/dvn/nbpwn/hq2sln
title: petitions.xlsx
DOI: 10.7910/dvn/ndr0p/h3nnrp
title: petitions.xlsx
DOI: 10.7910/dvn/nkpag/dsz23l
title: petitions.xlsx
DOI: 10.7910/dvn/ririx/njke8b
title: petitions.xlsx
DOI: 10.7910/dvn/si8ny/pgqmkp
title: petitions.xlsx
DOI: 10.7910/dvn/ucdfc/4tbzei
title: petitions.xlsx
DOI: 10.7910/dvn/wf4pl/sgomml
title: petitions.xlsx
DOI: 10.7910/dvn/ya56m/igpu75
title: petitions.xlsx
DOI: 10.7910/dvn/yjfuo/k3lg0v
title: petitions.xlsx
DOI: 10.7910/dvn/zd9x3/xzdfr8
title: petitions.xlsx
DOI: 10.17632/59p977b8h2.1
title: Dataset of creep model

description: The dataset is a public research data. The creep model graph.zip is all the origin graph of the creep model. The creep model function.png is the creep model function, it retains all the decimal places. The parameter.xlsx is all the parameter of the model,it retains all the decimal places.
DOI: 10.17632/59p977b8h2.2
title: Dataset of creep model

description: The dataset is a public research data. The creep model graph.zip is all the origin graph of the creep model. The creep model function.png is the creep model function, it retains all the decimal places. The parameter.xlsx is all the parameter of the model,it retains all the decimal places.
DOI: 10.17632/pywzcgyzrv.1
title: The Benefits of Transfers in Crowdsourced Pickup-and-Delivery Systems

description: Instances of the Pickup and Delivery Problem with Time Windows and Transfers solved by the ALNS heuristic proposed in the research paper The Benefits of Transfers in Crowdsourced Pickup-and-Delivery Systems. More details on the format used can be found in the README file.
DOI: 10.17632/wy2mz3nm7p.1
title: Mapping spatial-temporal sediment dynamics of river-floodplains in the Amazon

description: This directory contains the following maps in GeoTIFF format: open-water frequency, time-series of reflectance for each band (Red and NIR), and frequency of SSSC classes. Fassoni-Andrade, A. C., & Paiva, R. C. D. (2019). Mapping spatial-temporal sediment dynamics of river-floodplains in the Amazon. Remote Sensing of Environment, 221, 94-107. https://www.sciencedirect.com/science/article/abs/pii/S0034425718305005 Corresponding autor: alice.fassoni@ufrgs.br 1) Data Description: 1.1) Spatial Representation Type: Raster Format: TIFF Columns and rows: 7661, 2405 Cell Size (X,Y): 0.002245, 0.002245 (~250m) 1.2) Extent (coordinate system): Top: -0.025 Left: -67.28 Right: -50.081055 Botton: -5.424225 1.3) Spatial Reference Properties (GCS_WGS_1984.prj file): Type: Geographic Geographic Coordinate Reference: WGS 1984 Open Geospatial Consortium (OGC) Well Known Text (WKT): GEOGCS["GCS_WGS_1984", DATUM["D_WGS_1984", SPHEROID["WGS_1984",6378137.0,298.257223563]], PRIMEM["Greenwich",0.0], UNIT["Degree",0.0174532925199433], AUTHORITY["EPSG",4326]] 2) Data description for individual files: 2.1) File: open_water_frequency.tif This map indicates for how long, during 15 years (2003-2017), each pixel in rivers and lakes of central Amazon basin remained as open-water at every four days. Number of Bands: 1 Values between 0 and 100. Pixel Type: floating point Pixel Depth: 32 bit No Data Value: 0 2.2) File: class_SSC_frequency.tif This map represents a 15-year frequency (2003-2017) at which each pixel in rivers and lakes of central Amazon basin remains in one of the surface suspended sediments concentration classes (SSSC): high, moderate, and low. The open-water frequency map must be considered to interpret the sediments temporal dynamics in the class frequency map. For example, a pixel in the floodplain lake with frequency of 10, 30, and 20% in SSSC classes low, medium and high respectively, remains 40% of the time as no open-water. Number of Bands: 3 band 1: low SSSC class; band 2: Moderate SSSC class; band 3: High SSSC class Composition of bands for best visualization: R(3)G(2)B(1) without contrast Values between 0 and 100. Pixel Type: double precision Pixel Depth: 64 bit No Data Value: 0 2.3) File: time_series_nir.tif This map represents the climatology time series of infrared (nir) reflectance in period of four-days in rivers and lakes of central Amazon basin between 2003 and 2017 (15 years). Number of Bands: 92 (each band represent a date that is identified in dates.txt file) Values between 0 and 10000. Pixel Type: floating point Pixel Depth: 32 bit No Data Value: 0 2.4) File: time_series_red.tif This map represents the climatology time series of red reflectance in period of four-days in rivers and lakes of central Amazon basin between 2003 and 2017 (15 years). Number of Bands: 92 (each band represent a date that is identified in dates.txt file) Values between 0 and 10000. Pixel Type: floating point Pixel Depth: 32 bit No Data Value: 0
DOI: 10.17632/x3c66jk53m.1
title: Neurospora crassa circadian Xylose reductase enzyme activity assay data.

description: Results of a Xylose Reductase enzyme activity assay using Neurospora crassa Wild type tissue harvested from two different circadian timecourses. Two technical replicates were completed for each set of samples. This is the spectrophotometer output at 340 nm after the addition of the D-xylose substrate.
DOI: 10.17632/xj82cmj29g.1
title: Evaluation of CD133 and CD24 cancer stem cells and their different phenotypes in bladder carcinoma.

description: The heterogeneous molecular pathogenesis of bladder cancer and the frequent recurrence of superficial urothelial carcinoma suggest the contribution of cancer stem cells (CSCs) in their tumourgenicity. Although Identification of CSCs is ultimately needed for the success of targeted therapies, their origin and induction process are still ambiguous. Experimental evidence indicates that CSCs are not exactly akin, whereas, various subpopulations reside within a cancer mass and possess different capacity of tumorigenesis. This study investigated the relationship and clinical significance of two putative CSC markers, CD133 and CD24, and, their different phenotypes in patients with urinary bladder carcinoma.
DOI: 10.7910/dvn/0fmkx/cehwu5
title: petitions.xlsx
DOI: 10.7910/dvn/3qrjs/sig5ie
title: petitions.xlsx
DOI: 10.7910/dvn/5mxj3/dniizx
title: petitions.xlsx
DOI: 10.7910/dvn/5qega/nk32nh
title: petitions.xlsx
DOI: 10.7910/dvn/6s7zv/i54kvy
title: petitions.xlsx
DOI: 10.7910/dvn/azhjp/vtdllr
title: petitions.xlsx
DOI: 10.7910/dvn/b2qxq/mwj850
title: petitions.xlsx
DOI: 10.7910/dvn/ch18c/thwjbd
title: petitions.xlsx
DOI: 10.7910/dvn/cl2la/1bzfrh
title: petitions.xlsx
DOI: 10.7910/dvn/dyej2/8ar1zx
title: petitions.xlsx
DOI: 10.7910/dvn/gjn63/rc452p
title: petitions.xlsx
DOI: 10.7910/dvn/lum5p/grpdwq
title: petitions.xlsx
DOI: 10.7910/dvn/mfv3s/dhpstj
title: petitions.xlsx
DOI: 10.7910/dvn/mvigq/hvxbej
title: petitions.xlsx
DOI: 10.7910/dvn/n8qbe/dafjmw
title: petitions.xlsx
DOI: 10.7910/dvn/nps9h/h8vq2k
title: petitions.xlsx
DOI: 10.7910/dvn/qfw7y/zdmijq
title: petitions.xlsx
DOI: 10.7910/dvn/schpy/nn1u0a
title: petitions.xlsx
DOI: 10.7910/dvn/shz5g/ilahg9
title: petitions.xlsx
DOI: 10.7910/dvn/sni9o/hpgd7v
title: petitions.xlsx
DOI: 10.7910/dvn/t0hpi/03yjqv
title: petitions.xlsx
DOI: 10.7910/dvn/tmxiq/aflhav
title: petitions.xlsx
DOI: 10.7910/dvn/totbi/bgsndb
title: petitions.xlsx
DOI: 10.7910/dvn/uoarh/juss6y
title: petitions.xlsx
DOI: 10.7910/dvn/yhnaj/fulovo
title: petitions.xlsx
DOI: 10.17632/8mzwdr9sxc.1
title: Quantitative RNA-seq and TMT-MS circadian timecourse data from Neurospora crassa Wild Type and Delta csp-1 genetic backgrounds.

description: Quantitative data on mRNA/protein from A) the raw WT proteome levels, B) the imputed WT proteome levels, C) the eJTK WT proteome scores, D) the raw WT mRNA levels, E) the imputed WT mRNA levels, F) the eJTK WT mRNA scores, G) the raw ∆csp-1 proteome levels, H) the imputed ∆csp-1 proteome levels, I) the eJTK ∆csp-1 proteome scores, J) the setup of the TMT-MS 10-plex analyses.
DOI: 10.17632/pz8kwz96g7.1
title: SGRA ML

description: The main dataset from a year’s of running the SGRA on the HPC (Summit) environment is divided into two sub-datasets. The two sub-datasets are used to develop machine learning methods to obtain relationships between aggregator profits and customer loads, and electricity prices, respectively. The first and second sub-datasets consist of 5,555 and 365 observations, respectively. Each dataset is divided into two groups: training data (75%) and test data (25%).
DOI: 10.17632/r68j3rnxhw.1
title: Circadian proteome of Neurospora crassa from Wild Type and Delta csp-1 backgrounds.

description: List of genes that were A) detected/imputed in the WT proteome, B) found to be rhythmic in the WT proteome data set, C) detected/imputed in the WT mRNA, D) found to be rhythmic in the WT mRNA data set, E) rhythmic only in the WT proteome as compared to the WT mRNA, F) rhythmic in both the WT proteome and the WT mRNA, G) rhythmic only in the WT mRNA as compared to the WT protein, H) detected/imputed in the ∆csp-1 proteome, I) found to be rhythmic in the ∆csp-1 proteome data set, J) rhythmic only in the WT proteome as compared to the ∆csp-1 proteome, K) rhythmic in both the WT proteome and the ∆csp-1 proteome, L) rhythmic only in the ∆csp-1 proteome as compared to the WT protein.
DOI: 10.17632/xs2jc8zh4p.1
title: Assessing the accuracy and teachers’ impressions of Google Translate: A study of primary L2 writers in Hong Kong

description: Assessing Google Translate for L2 writing
DOI: 10.7910/dvn/1ilem/qen4vg
title: petitions.xlsx
DOI: 10.7910/dvn/1p38d/x5onpo
title: petitions.xlsx
DOI: 10.7910/dvn/72uln/8exxx1
title: petitions.xlsx
DOI: 10.7910/dvn/8k6ep/art8nx
title: petitions.xlsx
DOI: 10.7910/dvn/a220l/rkait1
title: petitions.xlsx
DOI: 10.7910/dvn/bbz4l/vomzlw
title: petitions.xlsx
DOI: 10.7910/dvn/fhhwr/gzojmk
title: petitions.xlsx
DOI: 10.7910/dvn/gnkpt/mwb4ct
title: petitions.xlsx
DOI: 10.7910/dvn/ipyb8/rth1ls
title: petitions.xlsx
DOI: 10.7910/dvn/jzszl/ajnmtf
title: petitions.xlsx
DOI: 10.7910/dvn/kembk/d1cli6
title: petitions.xlsx
DOI: 10.7910/dvn/llt86/joajww
title: petitions.xlsx
DOI: 10.7910/dvn/nxyzt/94tnzy
title: petitions.xlsx
DOI: 10.7910/dvn/o3q8n/tzwevs
title: petitions.xlsx
DOI: 10.7910/dvn/p1l8v/ekhiex
title: petitions.xlsx
DOI: 10.7910/dvn/pxbki/vrbh37
title: petitions.xlsx
DOI: 10.7910/dvn/qnwg7/rjg6fp
title: petitions.xlsx
DOI: 10.7910/dvn/r0wqo/hzrt1n
title: petitions.xlsx
DOI: 10.7910/dvn/rhavc/wgg0oi
title: petitions.xlsx
DOI: 10.7910/dvn/rto5m/wjg3cv
title: petitions.xlsx
DOI: 10.7910/dvn/sqfiw/c0dqxk
title: petitions.xlsx
DOI: 10.7910/dvn/ucfc5/o3d9sc
title: petitions.xlsx
DOI: 10.7910/dvn/v9kt2/53n91s
title: petitions.xlsx
DOI: 10.7910/dvn/vot2i/ui5g4b
title: petitions.xlsx
DOI: 10.7910/dvn/x4i9k/asxt5w
title: petitions.xlsx
DOI: 10.7910/dvn/y7ove/kt1hpg
title: petitions.xlsx
DOI: 10.17632/y7gnb79gfb.6
title: GEO Signature Extraction

description: See the details on https://github.com/cskyan/gesgnext#locate-the-pre-generated-dataset ****************************Supplementary Data**************************** Gene Set Enrichment Analysis Results - https://drive.google.com/drive/folders/1RsbCAh6dONp7xqLgLqtXV2EfGE2_16Im
DOI: 10.5281/zenodo.1650428
title: Simulated metagenomes used in "CRISPR spacers indicate preferential matching of specific virioplankton genes"

description: A simulated 454 and simulated Illumina sequencing run for 10 known microbial genomes that were used to test the accuracy of different CRISPR spacer prediction programs.
description: This work was supported through grants from the National Science Foundation (OCE-1148118, OIA-1736030 and DBI-1356374), the National Institutes for Health (5R21AI109555-02) and the Gordon and Betty Moore Foundation (grant number 2732). Support from the University of Delaware Center for Bioinformatics and Computational Biology Core Facility and use of the BIOMIX compute cluster was made possible through funding from Delaware INBRE (NIGMS GM103446) and the Delaware Biotechnology Institute.
DOI: 10.5281/zenodo.1650429
title: Simulated metagenomes used in "CRISPR spacers indicate preferential matching of specific virioplankton genes"

description: A simulated 454 and simulated Illumina sequencing run for 10 known microbial genomes that were used to test the accuracy of different CRISPR spacer prediction programs.
description: This work was supported through grants from the National Science Foundation (OCE-1148118, OIA-1736030 and DBI-1356374), the National Institutes for Health (5R21AI109555-02) and the Gordon and Betty Moore Foundation (grant number 2732). Support from the University of Delaware Center for Bioinformatics and Computational Biology Core Facility and use of the BIOMIX compute cluster was made possible through funding from Delaware INBRE (NIGMS GM103446) and the Delaware Biotechnology Institute.
DOI: 10.7910/dvn/0ta0t/trhxfu
title: petitions.xlsx
DOI: 10.7910/dvn/0wplb/srajss
title: petitions.xlsx
DOI: 10.7910/dvn/1tfnw/wjnaxi
title: petitions.xlsx
DOI: 10.7910/dvn/27st7/qpwpqd
title: petitions.xlsx
DOI: 10.7910/dvn/2nekt/yvvgvm
title: petitions.xlsx
DOI: 10.7910/dvn/3qrm0/vvtktx
title: petitions.xlsx
DOI: 10.7910/dvn/5wmlo/cppjql
title: petitions.xlsx
DOI: 10.7910/dvn/7skn8/maftuz
title: petitions.xlsx
DOI: 10.7910/dvn/b5qzu/s4h2jk
title: petitions.xlsx
DOI: 10.7910/dvn/fz4zg/t6iolk
title: petitions.xlsx
DOI: 10.7910/dvn/g5txj/8efsid
title: petitions.xlsx
DOI: 10.7910/dvn/hbgc3/hmwmv8
title: petitions.xlsx
DOI: 10.7910/dvn/lretm/aabejz
title: petitions.xlsx
DOI: 10.7910/dvn/nyqnq/jiu0xw
title: petitions.xlsx
DOI: 10.7910/dvn/ogghy/gzvigg
title: petitions.xlsx
DOI: 10.7910/dvn/pnt2q/tr5r7i
title: petitions.xlsx
DOI: 10.7910/dvn/pqbka/eq3rwb
title: petitions.xlsx
DOI: 10.7910/dvn/qximj/wfj3uv
title: petitions.xlsx
DOI: 10.7910/dvn/r8rhh/o0tbrq
title: petitions.xlsx
DOI: 10.7910/dvn/tsykb/lxnh92
title: petitions.xlsx
DOI: 10.7910/dvn/ttc6p/rifbo3
title: petitions.xlsx
DOI: 10.7910/dvn/twq1b/tpibvz
title: petitions.xlsx
DOI: 10.7910/dvn/u7ezy/4cnyjt
title: petitions.xlsx
DOI: 10.7910/dvn/vpel0/8h5pmm
title: petitions.xlsx
DOI: 10.7910/dvn/ybf6b/abcpao
title: petitions.xlsx
DOI: 10.7910/dvn/yu0cs/ymlvyt
title: petitions.xlsx
DOI: 10.7910/dvn/zdjtr/ov5qqi
title: petitions.xlsx
DOI: 10.17632/8xdjw2hzk8.1
title: Aggregation of model asphaltenes: effect of chain length and functional groups

description: The relationship between the chemical structures of natural asphaltenes and their aggregation mechanism remains poorly understood. To establish the influence of different chemical functional groups on the aggregation pathway of natural asphaltenes, a series of model triphenylene-based compounds were investigated. Synthesized with alkoxy chains of varying length and amide appendages, both with and without an acid terminating moiety, their aggregation kinetics in toluene were studied over several length scales, using a combination of dynamic light scattering (DLS) and diffusion-ordered NMR spectroscopy, complemented with GROMACS molecular dynamics (MD) simulations. The chemical structures of the polyaromatic compounds play an important role in their aggregation behavior: non-centrosymmetric model compounds were more prone to aggregation and formed large clusters. Furthermore, polar components appear to have a more significant influence than π-stacking on the driving force of aggregation, as the large clusters formed were observed to possess multiple configurations. Both amide and acid groups could generate strong attractive forces between molecules, overcoming the energy barrier imposed by the aromatic solvent and molecular core. These conclusions underline a strong structure-function relationship, of a model system examined on multiple size-scales, in a single solvent.
DOI: 10.17632/d6gty7kr2x.1
title: asasim: Adaptive sampling for electromagnetic simulations

description: For simulations of electromagnetic resonance spectra, where the locations of spectral features are unknown, and for wide-band simulations in general, a substantial number of wavelengths must be simulated for acceptable resolution, increasing computation time. This problem is exacerbated for spectra containing narrow-band features, as a high spectral resolution is required to even detect them. To address this challenge, a heuristic algorithm is presented for electromagnetic simulations, which adaptively refines the local resolution of spectral features during a simulation. The method supports parallel processing and plugs in with existing simulation systems, such as (RCWA). It can routinely reduce the computational load by two orders of magnitude.