cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.c9b25/1
title: Environmental Data for 94 wolves in 6 populations

description: These data represent latitude and longitude coordinates for the 94 wolves used in this study for selection tests. The 12 environmental variables for each coordinate were downloaded within ArcGIS from various WORLDCLIM databases (http://www.worldclim.org/). Please see descriptions on website for information on what each variable measures. From the website: "Please note that the temperature data are in °C * 10. This means that a value of 231 represents 23.1 °C. This does lead to some confusion, but it allows for much reduced file sizes which is important as for many downloading large files remains difficult. The unit used for the precipitation data is mm (millimeter)."
DOI: 10.5061/dryad.c9b25/2
title: nacanids_111indiv_unrel_noYNP_42Ksnps.tped

description: The set of all 42,587 SNPs for 111 unrelated wolves, in PLINK .tped format. (http://pngu.mgh.harvard.edu/~purcell/plink/)
DOI: 10.5061/dryad.c9b25/3
title: nacanids_111indiv_unrel_noYNP_42Ksnps.tfam

description: The .tfam file, in PLINK format, that corresponds to nacanids_111indiv_unrel_noYNP_42Ksnps.tped. This file has the sample names for 111 unrelated wolves.
DOI: 10.5061/dryad.c9b25/4
title: nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped

description: The set of all 42,587 SNPs for 94 unrelated wolves, with &gt;50% assignment in structure, in PLINK .tped format.(http://pngu.mgh.harvard.edu/~purcell/plink/)
DOI: 10.5061/dryad.c9b25/5
title: nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tfam

description: The corresponding TFAM file for the set of 94 unrelated individuals showing &gt;50% assignment in structure. The first column of each line is the ecotype designation for each sample.
DOI: 10.5061/dryad.c9b25/7
title: BayeScan results with prior odds of 10

description: This is the results (fst) file from running BayeScan with prior odds of 10, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file.
DOI: 10.5061/dryad.d3675/1
title: Fish egg sequences

description: Raw (unedited) Sanger sequences (COI and 16S) obtained from fish eggs collected off the Scripps Pier over 2 years of sampling (Aug 2012- Aug 2014).  Organized in columns by date sequenced with the date of collection next to each sequence name.
DOI: 10.5061/dryad.d3675/2
title: Harada et al. Identified Fish Eggs

description: Egg identifications by date Aug 2012- Aug 2014
DOI: 10.5061/dryad.g4f84.2
title: Data from: Breeding system evolution influenced the geographic expansion and diversification of the core Corvoidea (Aves: Passeriformes)
DOI: 10.5061/dryad.g4f84.2/1.2
title: core Corvoidea - polytomy resolved trees (763 species)
DOI: 10.5061/dryad.jh2fp/16
title: Raw genomic data (Jawbone Lake)

description: Raw genomic RadSeq data from individuals in the Jawbone Lake population. This zip archive contains 2 gzip compressed fastq files.
DOI: 10.5061/dryad.jh2fp/17
title: Raw genomic data (Lake Kenibuna)

description: Raw genomic RadSeq data from individuals in the Lake Kenibuna population. This zip archive contains 8 gzip compressed fastq files.
DOI: 10.5061/dryad.jh2fp/18
title: Raw genomic data (Pika Camp)

description: Raw genomic RadSeq data from individuals in the Pika Camp population. This zip archive contains 8 gzip compressed fastq files.
DOI: 10.5061/dryad.jh2fp/19
title: Raw genomic data (Rock Lake)

description: Raw genomic RadSeq data from individuals in the Rock Lake population. This zip archive contains 7 gzip compressed fastq files.
DOI: 10.5061/dryad.kv462/1
title: Zarin_Tse_Ross_2015_NEJM_Figure_1-ReadMe

description: Figure 1 data from Zarin, Tse, Ross (2015; NEJM)
DOI: 10.5061/dryad.qf362/1
title: Chemical_and_performance_traits_roots_and_soil_on_Sumatra_Polle_2015

description: Root element concentrations, Root mass and mycorrhizal colonization, soil paramters
DOI: 10.5061/dryad.rn617/1
title: 3D PDF of the quail's skull and ear

description: Amira 5.4 (FEI Visualization Sciences Group, FEI Corporate, Burlington, Massachusetts, USA) was used for the construction of a 3D-model of the avian skull. The 3D PDF was created following the supplementary 3D PDF-protocol of De Boer et al. (2011) using Adobe Acrobat Pro Extended 9.1 and Adobe Illustrator CS4.
DOI: 10.5061/dryad.rn617/2
title: Anatomical atlas of the quail's ear (Coturnix coturnix)

description: 17  histological sections were aligned manually to reference-microCT data and a 3D model of the quails skull and ear. Pictures were arranged using Adobe Illustrator.
DOI: 10.5061/dryad.rn617/3
title: Anatomical measurements on the quail's ear

description: Measurements were taken on microCT data. Measurements of anatomical structures were taken with the software Amira 5.4, using the measurement-module of ‘3D line’, ‘3D angle’ and ‘SplineProbe’. For surface measurements, a picture (‘CreateImage’) of the appropriate plane was taken and the area was measured with the module ‘MaterialStatistics’.
DOI: 10.5061/dryad.v702q/1
title: Dorresteijn et al_Proceedings B_2015_raw data table

description: Raw data file used for the structural equation model in the publication.
DOI: 10.5061/dryad.23tp6/2
title: R_Code_for_DFA

description: R_Code_for_DFA (Fig. 7)
DOI: 10.5061/dryad.23tp6/3
title: Fig1A_Hematocrit

description: Data for Figure 1A
DOI: 10.5061/dryad.23tp6/4
title: Fig1B_VentricleMass

description: Data for Figure 1B
DOI: 10.5061/dryad.23tp6/5
title: Fig2_HeartEnzymes

description: Data for Figure 2
DOI: 10.5061/dryad.23tp6/6
title: Fig3A_PercentRM

description: Data for Figure 3A
DOI: 10.5061/dryad.23tp6/7
title: Fig3C,E_CapillaryDensity

description: Data for Figure 3C,E
DOI: 10.5061/dryad.23tp6/8
title: Fig4_MuscleEnzymes

description: Data for Figure 4
DOI: 10.5061/dryad.23tp6/9
title: Fig5_MitoRespiration

description: Data for Figure 5
DOI: 10.5061/dryad.26th0/1
title: Data mating experiment

description: Raw data of the mating experiment. First sheet present the data of a single male exposure (corresponding to left panel of Fig. 3), second sheet multiple male exposure (corresponding to right panel Fig. 3). Column 1 and 2 describe the morph type of the respectively first and second male to which a female was mated (t = tuberosus, g = gibbosus). "ncop" = number of copulations in a session; "cop" = binary variable describing if a copulation took place (1 = yes; 0 = no).
DOI: 10.5061/dryad.26th0/3
title: Sperm competition data

description: Sperm competition data ('exp' = Experimental series, with FS representing fertile male -sterile male sequence and SF representing sterile male - fertile male sequence). ID is a unique identifier of each female. 'n1st'  are the number of offspring sired by the first male (i.e. fertile in FS and sterile in SF). 'n2nd' are the number of offspring sired by the second male (i.e. sterile in FS and fertile in SF)
DOI: 10.5061/dryad.2pf38/2
title: O-avatar_holotype_gonopods_I2E_1-9um_PNG
DOI: 10.5061/dryad.2pf38/3
title: Ommatuoilus_avatar_female_I2E_3-4um_PNG
DOI: 10.5061/dryad.4875k/1
title: Methods.3.Forms

description: This file contains all the raw data for this manuscript
DOI: 10.5061/dryad.4875k/2
title: Methods.Means

description: This file has the precalculated means for each method at each time point.  All of this can be calculated from the raw data file, but this makes things more convenient.
DOI: 10.5061/dryad.4875k/3
title: Methods Executed Script

description: This is the analysis script for this manuscript.  Please note that it is saved as a .txt file, though it is designed for use in R.  Anyone wishing to repeat the analysis will need to either copy and paste this into an R window, or else save the file as an appropriate R script extension.
DOI: 10.5061/dryad.6rj0n.2
title: Data from: A global optimization paradigm based on change of measures
DOI: 10.5061/dryad.6rj0n.2/1.2
title: exampleexperiment

description: This is the main file for solving global optimization problems. In this specific case pseudo-code 2 has been used for demonstrating the performance the algorithm. All the input values (i.e. dimension of problem, minimum and maximum function evaluations) are to be given here. To run this code, except the functions uploaded herein plese use the two function benchmarks.m and fgeneric.m from https://www.lri.fr/~hansen/cmaes_inmatlab.html which is an open sorce platform.
DOI: 10.5061/dryad.84c25/1
title: gorter_etal_2015_cadmium
DOI: 10.5061/dryad.9rs25/1
title: Cynara MSA
DOI: 10.5061/dryad.9rs25/2
title: Cynara MSA for phylogeny
DOI: 10.5061/dryad.b0b1c/1
title: Tuft use around termite mounds

description: Grazing intensity around termite mounds as measured by tuft use along distance transects in the four cardinal directions. Data come from three savanna sites and from two seasons.
DOI: 10.5061/dryad.b0b1c/2
title: Grazing lawn extent around termite mounds

description: Grazing lawns around termite mounds were measured in the four cardinal directions every two months for one year. Data come from three savanna sites.
DOI: 10.5061/dryad.c9b25/10
title: Bayenv output file

description: Results file from Bayenv for 94 individuals in six populations for 12 environmental variables. File is the matrix of bayes factors after averaging across ten independent runs. Each row represents a SNP, and each column contains the bayes factor for each environmental variable. BIO1: annual mean temp., BIO2: mean diurnal temp. range, BIO4: temp. seasonality, BIO5: max. temp. of warmest month, BIO6: min. temp. of coldest month), BIO12: annual precipitation, BIO15: precipitation seasonality, BIO19: precipitation of coldest quarter, LC: land cover metric, NDVIM: normalized difference vegetation index, TREE: percentage tree cover, and SRTM: shuttle radar topography metric.
DOI: 10.5061/dryad.c9b25/11
title: Genetic distance matrix for Mantel and spatial autocorrelation tests

description: This date file is a square matrix of genetic distance as measured using 42K SNPs and the 111 individual data set. Genetic distance was calculated in PLINK using the '--cluster --distance-matrix' command options. The order of individuals is the same as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file.
DOI: 10.5061/dryad.c9b25/12
title: Geographic distance matrix for Mantel and spatial autocorrelation tests

description: This file is a square matrix of geographic distance, in kilometers, between 111 wolves. Genalex was used to calculate these distances, using the options 'Genalex --&gt; distance --&gt; geographic --&gt; decimal lat/long, square matrix'. Individuals are in the same order as in the nacanids_111indiv_unrel_noYNP_42Ksnps.tfam file.
DOI: 10.5061/dryad.c9b25/13
title: nacanids_unrel_42Ksnps_CoatColor_wYNP_n33.tped

description: PLINK formatted genotypes of 33 individuals used for coat color association test, gentoyped at 42K SNPs. This data set includes 10 Yellowstone wolves which were not included in the main analysis for the paper, but were included for the coat color association.
DOI: 10.5061/dryad.c9b25/14
title: nacanids_unrel_42Ksnps_CoatColor_wYNP_n33_white.tfam

description: PLINK formatted TFAM file with coat color genotype for each of 33 wolves. Individuals coded as a 2 are white, individuals coded as a 1 are not white (can be black or gray).
DOI: 10.5061/dryad.c9b25/15
title: nacanids_123indiv_unrel_42Ksnps_CoatColor_wYNP_n33_black.tfam

description: PLINK formatted TFAM file with coat color genotype for each of 33 wolves. Individuals coded as a 2 are black, individuals coded as a 1 are not black (can be white or gray).
DOI: 10.5061/dryad.c9b25/8
title: BayeScan results file with prior odds of 1000

description: This is the results (fst) file from running BayeScan with prior odds of 1000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file.
DOI: 10.5061/dryad.c9b25/9
title: BayeScan results with prior odds of 10000

description: This is the results (fst) file from running BayeScan with prior odds of 10000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file.
DOI: 10.5061/dryad.cb312/1
title: Thur_River_Species_List

description: List of all species present at the Thur Rvier restored floodplain.
DOI: 10.5061/dryad.cb312/2
title: Thur_River_All_Taxa

description: Species distribution within the Thur River floodplain of all taxonomic groups
DOI: 10.5061/dryad.cb312/3
title: Thur_River_Disturbance_Stress

description: Environmental variables related to flood dynamic at the Thur River
DOI: 10.5061/dryad.cb312/4
title: Thur_River_Traits_Carabids

description: Traits of Carabid beetle species present at the Thur River
DOI: 10.5061/dryad.cb312/5
title: Thur_River_Traits_Diplopods

description: Traits of Diplopod species present at the Thur River
DOI: 10.5061/dryad.cb312/6
title: Thur_River_Traits_Earthworms

description: Traits of Earthworm species present at the Thur River
DOI: 10.5061/dryad.cb312/7
title: Thur_River_Traits_Isopods

description: Traits of Isopod species present at the Thur River
DOI: 10.5061/dryad.dr4s8/1
title: intraspecies genepop

description: Genepop file of 304 genotyped Z. vivipara individuals
DOI: 10.5061/dryad.dr4s8/2
title: vivipara 9 loci

description: Genepop file of genotyped Z. vivipara vivipara individuals
DOI: 10.5061/dryad.dr4s8/3
title: carniolica 8 loci genepop

description: Genepop file of genotyped Z. vivipara carniolica individuals
DOI: 10.5061/dryad.g4f84.1
title: Data from: Breeding system evolution influenced the geographic expansion and diversification of the core Corvoidea (Aves: Passeriformes)
DOI: 10.5061/dryad.g4f84.2/2.2
title: core Corvoidea - molecular data only trees (604 species)
DOI: 10.5061/dryad.g4f84.2/3.2
title: core Corvoidea supermatrix
DOI: 10.5061/dryad.jm57v/1
title: Metabolic Syndrome and Fatty Acids in Dolphins - Venn-Watson et al. 2015 - PLOS ONE 16JUN2015

description: Blood-based metabolic and iron indices and percent fatty acids in bottlenose dolphins, including comparisons between two populations and changes among six dolphins on a modified diet over six months; levels of heptadecanoic acid in various fish and dairy food types
DOI: 10.48370/ofd/u3g3gf/q4f9aj
title: MRIPAS_coll_87939_BisonBonasus_1969_scan.jpg

description: :unav
DOI: 10.48370/ofd/u3g3gf/waayer
title: MRIPAS_coll_87939_BisonBonasus_1969_M_ad_skull_with_horns_scan3D.rar

description: skull with horns
DOI: 10.48370/ofd/u3g3gf/2rqiqb
title: MRIPAS_coll_87939_BisonBonasus_1969_M_ad_skull_without_horns_scan3D.rar

description: skull without horns
DOI: 10.48370/ofd/u3g3gf/rvams8
title: MRIPAS_coll_87939_BisonBonasus_1969_M_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/u3g3gf/rhwjcu
title: MRIPAS_coll_87939_BisonBonasus_1969_M_ad_skull_without_horns_scan3D_small.stl

description: skull without horns
DOI: 10.48370/ofd/u3g3gf/ujijkq
title: MRIPAS_coll_87939_BisonBonasus_1969_M_ad_skull_with_horns_scan3D_small.stl

description: skull with horns
DOI: 10.48370/ofd/u3g3gf
title: Bison bonasus - 87939, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1969-10-09 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.6084/m9.figshare.19704889
title: Automatic estimation of unknown chemical components in a mixed material by XPS analysis using a genetic algorithm

description: There is an urgent need to develop automatic analysis methods for the large number of X-ray photoelectron spectroscopy (XPS) spectra being obtained by methods such as 3D chemical analysis and operand analysis. In a previous study, we developed an automatic analysis method for mixed materials that can decompose the XPS spectra and estimate the compositional ratios by comparison with XPS reference spectra of many candidate single-phase compounds. This method needs access to the XPS reference spectrum of every possible compound in the sample. However, in many practical cases, the necessary XPS reference spectra are not always available. In this study, we developed an automatic analysis method to estimate the compositional ratios, even when all necessary XPS reference spectra are not available, i.e. the measured XPS spectra contain unknown peak structures. In particular, the new method can automatically estimate the number of unknown peaks by the combination of a genetic algorithm and the Bayesian information criterion. We applied the method to analyze the depth-resolved XPS spectra of a (PZT) piezoelectric film and successfully identified the change in the chemical states of the components in the film without ambiguity.
DOI: 10.6084/m9.figshare.19704889.v1
title: Automatic estimation of unknown chemical components in a mixed material by XPS analysis using a genetic algorithm

description: There is an urgent need to develop automatic analysis methods for the large number of X-ray photoelectron spectroscopy (XPS) spectra being obtained by methods such as 3D chemical analysis and operand analysis. In a previous study, we developed an automatic analysis method for mixed materials that can decompose the XPS spectra and estimate the compositional ratios by comparison with XPS reference spectra of many candidate single-phase compounds. This method needs access to the XPS reference spectrum of every possible compound in the sample. However, in many practical cases, the necessary XPS reference spectra are not always available. In this study, we developed an automatic analysis method to estimate the compositional ratios, even when all necessary XPS reference spectra are not available, i.e. the measured XPS spectra contain unknown peak structures. In particular, the new method can automatically estimate the number of unknown peaks by the combination of a genetic algorithm and the Bayesian information criterion. We applied the method to analyze the depth-resolved XPS spectra of a (PZT) piezoelectric film and successfully identified the change in the chemical states of the components in the film without ambiguity.
DOI: 10.48370/ofd/2fvyf2
title: Phlebia rufa (Pers.) M.P.Christ., 620

description: Fungarium Macromycetes
DOI: 10.48370/ofd/9cgsql
title: Phlebia rufa (Pers.) M.P.Christ., 842

description: Fungarium Macromycetes
DOI: 10.48370/ofd/usveu1
title: Phlebia rufa (Pers.) M.P.Christ., 4876

description: Fungarium Macromycetes
DOI: 10.5517/ccdc.csd.cc273xr1
title: CCDC 2059353: Experimental Crystal Structure Determination

description: Related Article: Lian-sheng Cui, Yong-gang Li, Ke-Rui Huang, Jin-qiao Long|2022|J.Solid State Chem.|311|123144|doi:10.1016/j.jssc.2022.123144
DOI: 10.5517/ccdc.csd.cc273xs2
title: CCDC 2059354: Experimental Crystal Structure Determination

description: Related Article: Lian-sheng Cui, Yong-gang Li, Ke-Rui Huang, Jin-qiao Long|2022|J.Solid State Chem.|311|123144|doi:10.1016/j.jssc.2022.123144
DOI: 10.5517/ccdc.csd.cc273xt3
title: CCDC 2059355: Experimental Crystal Structure Determination

description: Related Article: Lian-sheng Cui, Yong-gang Li, Ke-Rui Huang, Jin-qiao Long|2022|J.Solid State Chem.|311|123144|doi:10.1016/j.jssc.2022.123144
DOI: 10.5517/ccdc.csd.cc273xv4
title: CCDC 2059356: Experimental Crystal Structure Determination

description: Related Article: Lian-sheng Cui, Yong-gang Li, Ke-Rui Huang, Jin-qiao Long|2022|J.Solid State Chem.|311|123144|doi:10.1016/j.jssc.2022.123144
DOI: 10.5281/zenodo.6517286
title: Historikertage auf Twitter (2012-2018). Datenreport und Datenset

description: This data report contains the annotated figures, statistics and visualisations of the project "Die twitternde Zunft. Historikertage auf Twitter (2012-2018)" by Mareike König and Paul Ramisch. In addition, the methodological approach to corpus creation, data cleaning, coding, network and text analysis as well as the legal and ethical considerations of the project are described. The datasheets contain the dehydrated and annotated tweet ids that were used for our study. With the Twitter API this can be used to hydrate and restore the whole corpus, apart from deleted tweets. There are two versions of the CSV file, one with clean id values, the other where the id values are prepended with an “x”. This prevents certain tools from using scientific notation for the ids and breaking them, with the R library rtweet function read_twitter_csv() this is automatically resolved on import. The files contain the following data: status_id: The Twitter status id of the tweet corpus_user_id: A corpus specific id for each user within the corpus (not the Twitter user id) hauptkategorie_1: Primary category hauptkategorie_2: Primary category 2 Gender: Gender of the user Nebenkategorie: Secondary category Furthermore, the following boolean variables describe what sub corpus each tweet is in, the main corpus per year that contains of both data sources (TAGS and API) and the yearly sub corpora divided by their data source (TAGS: orig_, API: api_): You can find the code on R on GitHub: https://github.com/dhiparis/historikertag-twitter.
description: Datenreport zum Projekt "Historikertage auf Twitter (2012-2018)
DOI: 10.5281/zenodo.6362300
title: Historikertage auf Twitter (2012-2018). Datenreport und Datenset

description: This data report contains the annotated figures, statistics and visualisations of the project "Die twitternde Zunft. Historikertage auf Twitter (2012-2018)" by Mareike König and Paul Ramisch. In addition, the methodological approach to corpus creation, data cleaning, coding, network and text analysis as well as the legal and ethical considerations of the project are described. The datasheets contain the dehydrated and annotated tweet ids that were used for our study. With the Twitter API this can be used to hydrate and restore the whole corpus, apart from deleted tweets. There are two versions of the CSV file, one with clean id values, the other where the id values are prepended with an “x”. This prevents certain tools from using scientific notation for the ids and breaking them, with the R library rtweet function read_twitter_csv() this is automatically resolved on import. The files contain the following data: status_id: The Twitter status id of the tweet corpus_user_id: A corpus specific id for each user within the corpus (not the Twitter user id) hauptkategorie_1: Primary category hauptkategorie_2: Primary category 2 Gender: Gender of the user Nebenkategorie: Secondary category Furthermore, the following boolean variables describe what sub corpus each tweet is in, the main corpus per year that contains of both data sources (TAGS and API) and the yearly sub corpora divided by their data source (TAGS: orig_, API: api_): You can find the code on R on GitHub: https://github.com/dhiparis/historikertag-twitter.
description: Datenreport zum Projekt "Historikertage auf Twitter (2012-2018)
DOI: 10.5517/ccdc.csd.cc28xz4b
title: CCDC 2113212: Experimental Crystal Structure Determination

description: Related Article: Guobi Li, Jing Chen, Bai-Qiao Song, Xin Zhang, Zhong Zhang, Rongkai Pan, Ling-Min Pei, Lu-Sheng Liao, Guo-Wei Guan, Jian Wang, Sheng-Gui Liu, Qing-Yuan Yang|2022|Sep.Purif.Technol.|293|121097|doi:10.1016/j.seppur.2022.121097
DOI: 10.5517/ccdc.csd.cc2983pd
title: CCDC 2122963: Experimental Crystal Structure Determination

description: Related Article: Manuel Rodríguez-Molina, Dazaet Galicia-Badillo, Enoc Cetina-Mancilla, Jorge Cárdenas, Lilian I. Olvera, Rubén A. Toscano, Braulio Rodríguez-Molina, Mikhail G. Zolotukhin|2022|ACS Omega|7|13520|doi:10.1021/acsomega.1c06635
DOI: 10.5517/ccdc.csd.cc2983qf
title: CCDC 2122964: Experimental Crystal Structure Determination

description: Related Article: Manuel Rodríguez-Molina, Dazaet Galicia-Badillo, Enoc Cetina-Mancilla, Jorge Cárdenas, Lilian I. Olvera, Rubén A. Toscano, Braulio Rodríguez-Molina, Mikhail G. Zolotukhin|2022|ACS Omega|7|13520|doi:10.1021/acsomega.1c06635