cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dzfd7
title: CCDC 2233779: Experimental Crystal Structure Determination

description: Related Article: Kai-Long Zhong, Xia-Qing Ma, Yue-Hao Tong, Hong Hu, Yu-Xin Chen, Yan-Ni Ling, Min Cui, Tao Jia, Yin-Ling Hou, Wen-Min Wang|2023|Inorg.Chim.Acta|557|121702|doi:10.1016/j.ica.2023.121702
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: 10.5281/zenodo.8346837
title: Appendix

description: Appendix A and B
DOI: 10.5281/zenodo.8346836
title: Appendix

description: Appendix A and B
DOI: 10.5281/zenodo.8337013
title: Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021

description: data For Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021.
DOI: 10.5281/zenodo.8337012
title: Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021

description: data For Multi-stage Development within Anisotropy Insight of an Anticyclone Eddy in Northwestern South China Sea in 2021.
DOI: 10.34740/kaggle/dsv/6474229
title: Peruvian Banknotes
DOI: 10.13020/cxkh-at83
title: Access Across America: Transit 2021 Data

description: These data were created as part of a study that examined the accessibility to jobs by transit across the United States. It is the most detailed evaluation to date of access to jobs by transit, and it allows for a direct comparison of the transit accessibility performance of America's metropolitan areas. These data are part of a longitudinal study. Transit data for additional years can be found in the Accessibility Observatory Data collection: http://hdl.handle.net/11299/200592
description: # Dataset Description This dataset provides a summary of the worker-weighted access by different census geography levels and travel times for the state. The worker-weighted access here represents the average number of jobs a person can reach from a specific census area within a given travel time threshold. The travel time threshold are in integer seconds, at intervals from 300 (5 min) to 3600 (1 hour). For transit accessibility, the match between schedule and departure time greatly influences what is reachable. We use available published transit schedules for a given travel day and average across each minute from 7am to 9am to give an average access, removing some of the variation due to mismatch of departure. Transit access travel times include walking to and from stops, as well as waiting. Where no applicable transit service is available, the accessibility metric represents jobs available by walking. Census levels included in this dataset are: 1. Block 2. Block Group 3. Census Tract 4. County 5. State ## Data Files [state]_[statecode]_[mode]_[census_level]_[year].csv: These files contain the census level data by mode, year. ### Important Note Due to its large size, the 'Block' level data file should not be opened outside of a person's coding platform. Attempting to open this file in Excel or a similar spreadsheet program would cut off a significant amount of data points. ## Data Fields 1. mode: the type of travel modes, one of auto; bike; or transit 2. year: NAE data year, the year for which this dataset is relevant 3. parent_area: the ID of the containing geography within which the data averages are calculated 4. summary_level: the level of geography at which averages are calculated; one of state, county, census tract, block group, or block 5. geoid: the ID of the particular census geography for which the data averages are calculated 3. threshold: the travel time threshold in seconds, ranging from 300 to 3600 seconds 4. weighted_average: the average number of jobs a person can reach from a given census area within the travel time threshold for a specific mode
DOI: 10.5281/zenodo.8346858
title: Munsell soil color chart: a spectral reflectance dataset

description: This dataset contains the calculated spectral reflectance of the 2009 edition of Munsell soil colour chart measured using Konika Minolta 2000 spectroradiometer with a tungsten lamp as the light source. The spectroradiometer has a 380-780nm spectral range with a 1nm spectral sampling. Reflectance is obtained by using the following equation with the assumption of a uniformly-illuminated surface.<br> \(R(\lambda) = \frac{\Phi(\lambda)_{Reflected}}{\Phi(\lambda)_{Incident}} \) \( \Phi(\lambda)_{Incident} = \frac{\Phi(\lambda)_{sample}}{R(\lambda)_{sample}} \)<br> using a known \(R(\lambda)\) of white reference tile used to obtain \(\Phi(\lambda)_{Incident}\) of the tungsten lamp. If you have any questions regarding this dataset, kindly contact me on riestiya.z.fadillah@ntnu.no
DOI: 10.5281/zenodo.8346857
title: Munsell soil color chart: a spectral reflectance dataset

description: This dataset contains the calculated spectral reflectance of the 2009 edition of Munsell soil colour chart measured using Konika Minolta 2000 spectroradiometer with a tungsten lamp as the light source. The spectroradiometer has a 380-780nm spectral range with a 1nm spectral sampling. Reflectance is obtained by using the following equation with the assumption of a uniformly-illuminated surface.<br> \(R(\lambda) = \frac{\Phi(\lambda)_{Reflected}}{\Phi(\lambda)_{Incident}} \) \( \Phi(\lambda)_{Incident} = \frac{\Phi(\lambda)_{sample}}{R(\lambda)_{sample}} \)<br> using a known \(R(\lambda)\) of white reference tile used to obtain \(\Phi(\lambda)_{Incident}\) of the tungsten lamp. If you have any questions regarding this dataset, kindly contact me on riestiya.z.fadillah@ntnu.no
DOI: 10.5281/zenodo.2535920
title: Io Input/Output observatory (IoIO) reduction products

description: Companion dataset to Morgenthaler et al. 2019 ApJL "Large Volcanic<br> Event on Io Inferred from Jovian Sodium Nebula Brightening" Column Meaning <br> FNAME Filename of background-subtracted (``reduced'') image <br> LINE Emission line(s) transmitted through on-band filter (see Table 1 in paper)<br> TMID UT Midpoint of on-band sodium observation <br> EXPTIME Exposure time of on-band image <br> ONBSUB CCD bias and dark value subtracted from on-band image(a) <br> DONBSUB ONBSUB minus median value at edge of on-band Na image<br> OFFBSUB CCD bias and dark value subtracted from off-band image(a) <br> DOFFBSUB OFFBSUB minus median value at edge of off-band Na image<br> OFFSCALE scale factor applied to off-band image before subtracting(b)<br> ADU2R Factor used to convert ADU to rayleighs<br> ANGDIAM Angular diameter of Jupiter at TMID <br> APRj_0 Average of pixels in entire reduced image<br> APJpNNN Average of pixels inside box NNN Rj per side of reduced image(cd)<br> OnRj_0 Average of pixels in entire on-band image<br> OnRJpNNN On-band average inside box NNN Rj per side(cd)<br> OffRj_0 Average of pixels in entire off-band image<br> OffRJpNNN Off-band average inside box NNN Rj per side(cd)<br> RDATE Date reduction code was run <br> RVERSION Reduction version (a) See text of Morgenthaler et al. 2019 ApJL for description of how<br> this was derived from [SII] images<br> (b) Not including factor of 0.8 discussed in text<br> (c) Box centered on Jupiter, aligned with equatorial plane<br> (d) Value = 0 means box extended outside of CCD<br>
description: Funded by NSF AST 1616928
DOI: 10.5281/zenodo.8007860
title: On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability

description: The data that support the findings in "On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability"
DOI: 10.5281/zenodo.8007861
title: On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability

description: The data that support the findings in "On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability"
DOI: 10.5281/zenodo.8346851
title: On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability

description: The data that support the findings in "On the pathways of wind-driven coastal upwelling: nonlinear momentum flux and baroclinic instability"
DOI: 10.25345/c56h4d15w
title: MassIVE MSV000092861 - HILIC-MS analysis of defined community longitudinal culture
title: To identify changes in microbial-derived small molecules over time, HILIC-MS analysis (hydrophilic interaction liquid chromatography-mass spectrometry) and 1H-NMR analysis (proton nuclear magnetic resonance) were performed on the supernatant of a complex longitudinal bacterial culture. These bacteria were assembled from axenic monocultures of human-derived fecal bacteria.
DOI: 10.18434/mds2-3069
title: Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2023: Annual Supplement to NIST Handbook 135
DOI: 10.5066/p9zlm50v
title: Vegetation survey of southwest Florida for use in assessment of the Picayune Strand Restoration Project effects

description: This release consists of vegetation data collected across an environmental gradient at Ten Thousand Islands National Wildlife Refuge (TTI NWR) near Naples, Florida, USA. The refuge is within the impact area of the Picayune Strand Restoration Project (PSRP), a large-scale hydrologic restoration project in southwest Florida that was authorized by the U.S. Congress in 2007. Vegetation transects were located in the following wetland types on the refuge: brackish marsh, salt marsh, and transition marsh. Data from vegetation transects established in nearby areas outside of the PSRP impact area, in Fakahatchee Strand Preserve State Park (FSPSP) and Big Cypress National Preserve (BICY), are also included. The study spanned nine years, from 2007 to 2016. A collection of photographs taken over time at each vegetation transect is included with this Data Release. Information provided with each photograph includes the transect name and the date the image was obtained. Five separate directories of photographs are organized by identified wetland types and are designated: Control Saline Marsh sites, Ten Thousand Islands Brackish Marsh sites, Ten Thousand Islands Salt Marsh sites, Ten Thousand Islands Transition Marsh sites, and Ten Thousand Islands Burn Marsh sites.
DOI: 10.48577/jpl.hutm2a
title: Modelling the water and carbon dioxide production rates of Comet 67P/Churyumov-Gerasimenko

description: The European SpaceAgency Rosetta/Philae mission to Comet 67P/Churyumov-Gerasimenko in 2014–2016 is the most complete and diverse investigation of a comet carried out thus far. Yet, many physical and chemical properties of the comet remain uncertain or unknown, and cometary activity is still not a well-understood phenomenon. We here attempt to place constraints on the nucleus abundances and sublimation front depths of H2O and CO2 ice, and to reconstruct how the nucleus evolved throughoutthe perihelion passage. We employ the thermophysical modelling code ‘Numerical Icy Minor Body evolUtion Simulator’, or NIMBUS, to search for conditions under which the observed H2O and CO2 production rates are simultaneously reproduced before and after perihelion. We find that the refractories to water-ice mass ratio of relatively pristine nucleus material is mu=1, that airfall material has mu=2, and that the molar abundance of CO2 relative H2O is near 30 per cent. The dust mantle thickness is typically 2 cm. The average CO2 sublimation front depths near aphelion were 3.8 m and 1.9 m on the northern and southern hemispheres, respectively, but varied substantially with time. We propose that airfall material is subjected to substantial fragmentation and pulverisation due to thermal fatigue during the aphelion passage.We find further evidence that the CO2 vapour pressure is responsible for an observed compaction of near–surface nucleus material, that leads to the formation of consolidated terrain.
DOI: 10.6084/m9.figshare.24142602
title: Figure 4(D)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142602.v1
title: Figure 4(D)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142593
title: Figure 4(C)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142593.v1
title: Figure 4(C)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.23646342.v1
title: Fast Community Detection in Dynamic and Heterogeneous Networks

description: Dynamic heterogeneous networks describe the temporal evolution of interactions among nodes and edges of different types. While there is a rich literature on finding communities in dynamic networks, the application of these methods to dynamic heterogeneous networks can be inappropriate, due to the involvement of different types of nodes and edges and the need to treat them differently. In this article, we propose a statistical framework for detecting common communities in dynamic and heterogeneous networks. Under this framework, we develop a fast community detection method called DHNet that can efficiently estimate the community label as well as the number of communities. An attractive feature of DHNet is that it does not require the number of communities to be known a priori, a common assumption in community detection methods. While DHNet does not require any parametric assumptions on the underlying network model, we show that the identified label is consistent under a time-varying heterogeneous stochastic block model with a temporal correlation structure and edge sparsity. We further illustrate the utility of DHNet through simulations and an application to review data from Yelp, where DHNet shows improvements both in terms of accuracy and interpretability over alternative solutions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24142572
title: Figure 4(B)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142572.v1
title: Figure 4(B)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24125238
title: Figure 4(A)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24125238.v1
title: Figure 4(A)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142638
title: Figure 5(C)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142638.v1
title: Figure 5(C)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142611
title: Figure 5(B)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142611.v1
title: Figure 5(B)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142608
title: Figure 5(A)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.6084/m9.figshare.24142608.v1
title: Figure 5(A)

description: Propagation of ELF whistler-mode wave in a low-magnetic duct.
DOI: 10.25345/c52r3p71r
title: MassIVE MSV000092862 - HILIC-MS analysis of fecal community longitudinal culture
title: To identify changes in microbial-derived small molecules over time, HILIC-MS analysis (hydrophilic interaction liquid chromatography-mass spectrometry) and 1H-NMR analysis (proton nuclear magnetic resonance) were performed on the supernatant of a complex longitudinal bacterial culture. The bacteria that were cultured were derived from human fecal samples.
DOI: 10.5066/p9ozcgzq
title: Stable hydrogen and oxygen isotopic compositions of precipitation samples from selected Delaware, Maryland, New Jersey, New York, and Pennsylvania National Atmospheric Deposition Program (NADP) sites

description: The stable hydrogen (delta 2H) and oxygen (delta 18O) isotopic compositions of more than 6,400 daily or weekly composite samples of precipitation from nine National Atmospheric Deposition Program (NADP) sites (DE02, MD07, NJ99, NY67, NY68, PA00, PA15, PA72, and PA98) in New York, New Jersey, Delaware, Maryland and Pennsylvania were analyzed on archived samples obtained from NADP over various time periods from as early as 1992. The samples are from the NADP National Trends Network (NTN) with weekly sample frequency, and the former NADP AIRMoN network, sampled daily within 24 hours of start of precipitation.� Data on site location, collection begin and end dates, sample volume and precipitation amounts were furnished from publicly-available NADP sources and were not evaluated for accuracy.��Measured values range between -255.6 and +25.5 per mil for delta 2H and between -33.66 and +5.39 per mil for delta 18O. This data set includes values from all the samples that were analyzed so that measurement uncertainty related to sample volume can be evaluated. Due to sample volume and storage times, some isotope-delta values have been flagged as being out of range for natural waters; however, the end user is responsible for evaluating all data for suitability to the intended purpose. � Data files provided here include the metadata as an .xml file, a Microsoft Office Excel .xlsx file with four spreadsheets containing the Introduction, Table 1, Table 2, and Table 3, and the individual data tables as comma-separated value .csv files.�A plot of hydrogen versus oxygen isotopic compositions is also provided as a .jpg image. Data analysis was funded by the U.S Geological Survey (USGS) National Research Program, the USGS Water Availability and Use Science Program (WAUSP), and the USGS Next Generation Water Observing System (NGWOS) Program.�
DOI: 10.5281/zenodo.8347008
title: Dataset Associated with "Biochemical and biophysical characterization of natural polyreactivity in antibodies"

description: Processed data for recreating figures and statistical analysis from Borowska & Boughter et al. <em>Cell Reports</em> 2023. Scripts for creating the figures and analysis from these data, as well as the scripts used to generate these datasets, can be found on the GitHub page (https://github.com/ctboughter/manuscript_md_analysis)
DOI: 10.5281/zenodo.8347007
title: Dataset Associated with "Biochemical and biophysical characterization of natural polyreactivity in antibodies"

description: Processed data for recreating figures and statistical analysis from Borowska & Boughter et al. <em>Cell Reports</em> 2023. Scripts for creating the figures and analysis from these data, as well as the scripts used to generate these datasets, can be found on the GitHub page (https://github.com/ctboughter/manuscript_md_analysis)
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n.1
title: methyl 4-amino-2,5-difluoro-benzoate
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3, and canonical SMILES descriptor[cheminf_000007]: COC(=O)c1cc(F)c(cc1F)N, and by the IUPAC name[cheminf_000107]: methyl 4-amino-2,5-difluorobenzoate. The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-35978 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000604 | heteronuclear single quantum coherence (HSQC) CHMO:0000599 | correlation spectroscopy (COSY) CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT) CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR) CHMO:0000601 | heteronuclear multiple bond coherence (HMBC) CHMO:0000597 | 19F nuclear magnetic resonance spectroscopy (19F NMR) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.26 ppm], ppm) δ = 7.57 (dd, J = 11.5 Hz, J = 6.4 Hz, 1H), 6.45 (dd, J = 11.6 Hz, J = 7.2 Hz, 1H), 4.25 (br.s, 2H), 3.87 (s, 3H).
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR) 19F NMR (376 MHz, ppm) δ = -112.92 (d, J = 15.0 Hz), -141.37 (d, J = 15.0 Hz).
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 164.2 (dd, J = 4.6 Hz, J = 2.3 Hz), 159.5 (dd, J = 255.1 Hz, J = 1.5 Hz), 146.3 (dd, J = 236.6 Hz, J = 2.3 Hz), 140.6 (dd, J = 15.4 Hz, J = 13.1 Hz), 117.7 (dd, J = 21.6 Hz, J = 3.1 Hz), 106.7 (dd, J = 11.6 Hz, J = 6.2 Hz), 103.1 (dd, J = 28.5 Hz, J = 3.9 Hz), 52.0 (s).
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/wfhmjopcowabhh-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (methyl 4-amino-2,5-difluorobenzoate)
title: InChI=1S/C8H7F2NO2/c1-13-8(12)4-2-6(10)7(11)3-5(4)9/h2-3H,11H2,1H3

description: dataset for heteronuclear multiple bond coherence (HMBC)