cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e111161v1
title: Replication Data and Code for: "Dominant Currency Paradigm"

description: This document describes the replication files for the paper “Dominant Currency Paradigm” and its Online Appendix. Any references in this document to sections, figures, and tables refer to the main paper or Online Appendix. <br><br>Abstract of the original publication:<br> We propose a ‘dominant currency paradigm’ with three key features: dominant currency pricing, pricing complementarities, and imported inputs in production. We test this paradigm using a new data set of bilateral price and volume indices for more than 2,500 country pairs that covers 91% of world trade, as well as detailed firm-product-country data for Colombian exports and imports. In strong support of the paradigm we find that: (1) Non-commodities terms of trade are uncorrelated with exchange rates. (2) The dollar ex- change rate quantitatively dominates the bilateral exchange rate in price pass-through and trade elasticity regressions, and this effect is increasing in the share of imports invoiced in dollars. (3) U.S. import volumes are significantly less sensitive to bilateral exchange rates, compared to other countries’ imports. (4) A 1% U.S. dollar appreciation against all other currencies predicts a 0.6% decline within a year in the volume of total trade between coun- tries in the rest of the world, controlling for the global business cycle. We characterize the transmission of, and spillovers from, monetary policy shocks in this environment.
DOI: 10.3886/e111161
title: Replication Data and Code for: "Dominant Currency Paradigm"

description: This document describes the replication files for the paper “Dominant Currency Paradigm” and its Online Appendix. Any references in this document to sections, figures, and tables refer to the main paper or Online Appendix. <br><br>Abstract of the original publication:<br> We propose a ‘dominant currency paradigm’ with three key features: dominant currency pricing, pricing complementarities, and imported inputs in production. We test this paradigm using a new data set of bilateral price and volume indices for more than 2,500 country pairs that covers 91% of world trade, as well as detailed firm-product-country data for Colombian exports and imports. In strong support of the paradigm we find that: (1) Non-commodities terms of trade are uncorrelated with exchange rates. (2) The dollar ex- change rate quantitatively dominates the bilateral exchange rate in price pass-through and trade elasticity regressions, and this effect is increasing in the share of imports invoiced in dollars. (3) U.S. import volumes are significantly less sensitive to bilateral exchange rates, compared to other countries’ imports. (4) A 1% U.S. dollar appreciation against all other currencies predicts a 0.6% decline within a year in the volume of total trade between coun- tries in the rest of the world, controlling for the global business cycle. We characterize the transmission of, and spillovers from, monetary policy shocks in this environment.
DOI: 10.17632/rt9j5nwm2v.1
title: Data for: The reference neutron field for measurement of spectrum averaged cross sections

description: data for seting of reference field
DOI: 10.3886/e111668v1
title: Data and code for: Fiscal Rules, Bailouts, and Reputation in Federal Governments

description: This folder contains replication files to produce the figures in "Fiscal Rules, Bailouts, and Reputation in Federal Governments."
DOI: 10.3886/e111668
title: Data and code for: Fiscal Rules, Bailouts, and Reputation in Federal Governments

description: This folder contains replication files to produce the figures in "Fiscal Rules, Bailouts, and Reputation in Federal Governments."
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n.1
title: C16H27CuF6N5P
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: This dataset contains experimental data from a sample (InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1). The datasets from the following experiments are available: 13C nuclear magnetic resonance spectroscopy (13C NMR) process 1H nuclear magnetic resonance spectroscopy (1H NMR) 31P nuclear magnetic resonance spectroscopy (31P NMR) 19F nuclear magnetic resonance spectroscopy (19F NMR)
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C{1H} NMR (101 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = 164.7 (C9), 151.7 (C1), 133.3 (C6), 130.3 (C4), 129.1 (C2), 123.3 (C5), 122.3 (C3), 118.3 (MeCN), 65.3 (C7), 48.1 (2C, C8), 40.1 (4C, C10), 1.3 (MeCN).
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR) 19F{1H} NMR (377 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = –72.94 (d, J = 706.3 Hz, PF6).
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n/bfo0000015
title: process ()
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: dataset for process Additional information to facilitate the assignment of signals to structure.
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = 7.22 (td, J = 7.7, 1.6 Hz, 1H, H4), 7.14 (dd, J = 7.5, 1.3 Hz, 1H, H6), 6.91 (td, J = 7.4, 1.2 Hz, 1H, H3), 6.48–6.42 (dd, J = 7.8, 1.3 Hz, 1H, H5), 3.44 (s, 2H, H7), 2.71 (br s, 12H, H10), 2.31 (s, 6H, H8), 1.96 (s, 3H, MeCN).
DOI: 10.14272/sxyrofuqpfoadi-uhfffaoysa-n/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ()
title: InChI=1S/C14H24N4.C2H3N.Cu.F6P/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;;1-7(2,3,4,5)6/h7-10H,11H2,1-6H3;1H3;;/q;;+1;-1

description: dataset for 31P nuclear magnetic resonance spectroscopy (31P NMR) 31P{1H} NMR (162 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = –144.60 (hept, J = 706.3 Hz, PF6).
DOI: 10.3886/e111366
title: Data and Code for: Maternal Depression, Women's Empowerment, and Parental Investment: Evidence from a Randomized Control Trial

description: We evaluate the medium-term impacts of treating maternal depression on women's mental health, financial empowerment, and parenting decisions. We leverage variation induced by a cluster-randomized control trial that provided psychotherapy to 903 prenatally depressed mothers in rural Pakistan. It was one of the world's largest psychotherapy interventions, and it dramatically reduced postpartum depression. Seven years after psychotherapy concluded, we returned to the study site to find that impacts on women's mental health had persisted, with a 17% reduction in depression rates. The intervention also improved women's financial empowerment and increased both time- and money-intensive parental investments by between 0.2 and 0.3 standard deviations.
description: Response Rates: The starting experimental sample consisted of 463 treated and 440 control mothers. At the 7-year follow-up, we located 295 of the control dyads and 289 of the intervention arm dyads, together corresponding to 64.8% of the baseline sample.A third of the attrition was due to child mortality which was not different by treatment status. The non-experimental group interviewed at the 7-year follow-up consisted of 300 mother-child dyads, 150 from each arm.
description: computer-assisted personal interview (CAPI); computer-assisted self interview (CASI);
description: The Thinking Healthy Program (THP) was a cluster-randomized trial addressing perinatal depression in rural Punjab, Pakistan. <br>The trial was randomized across 40 clusters, these being Union Councils, the smallest geopolitical unit. Twenty clusters were randomizedinto receiving the intervention and twenty to the control arm. Womenwere enrolled during April 2005-March 2006. All women in their thirdtrimester of pregnancy (married, ages 16-45, no other significant illness)who met the DSM-IV criteria for Major Depressive Episode were invitedto participate in the study. A total of 3898 women were identified, with8% refusing before any assessment, and 2% were not found. <br>A total of 3518 women were assessed for clinical depression, with 903(26%) identified as prenatally depressed, a prevalence consistent withprevious estimates for this region (Rahman et al., 2003). There were 463depressed mothers in the clusters randomized to the intervention, and440 in the control arm. Only women diagnosed as depressed completedthe baseline survey. <br>.
description: All women in their third trimester of pregnancy (married, ages 16-45, no other significant illness) who met the DSM-IV criteria for Major Depressive Episode were invited to participate in the study. A total of 3898 women were identified, with 8% refusing before any assessment, and 2% were not found.
DOI: 10.21227/96q3-6d88
title: CUPSNBOTTLES

description: CUPSNBOTTLES is an object data set, recorded by a mobile service robot. There are 10 object classes, each with a varying number of samples. Additionally, there is a clutter class, containing samples where the object detector failed. The data set consists of the actual object images, an HDF file with extracted visual features (via a VGG19 deep convolutional net pretrained for the imagenet competition) and a CSV file containing other information about recorded objects like their global spatial position, spatial position of the robot, a timestamp and the object position within the image Settings of recording the data set: We used the robot to approach five way points to record objects that were located on different kind of furniture. On each way point, the robot did a -30 degree followed by a 60 degree turn for acquiring more object samples from different viewing angles. Objects are extracted by YOLO object detector. For simplifying our experiments, we include only object samples which have the YOLO-classes cup or bottle, however we consider these as meta categories which can be divided into different kind of e.g. bottles. Also, we exclude object samples with a YOLO-confidence with less than 20% and a distance greater than 2 meters. There are then still a share of 5\% remaining clutter images in the data set which do not contain a valid centered bottle or mug, but still exceed our YOLO confidence threshold. While the robot is moving, objects are extracted from the camera stream all the time. Since the robot moves quite fast, there are blurry objects within the data set. However, while the robot is turning at a waypoint, we make sure that all objects are detected by YOLO and there are a maximum of 3-4 frames in a row where an object is missed. The total number of frames is 515 with 2179 resulting object samples in the dataset and 121 clutter samples.
DOI: 10.21227/3yr3-yt47
title: CUPSNBOTTLES

description: CUPSNBOTTLES is an object data set, recorded by a mobile service robot. There are 10 object classes, each with a varying number of samples. Additionally, there is a clutter class, containing samples where the object detector failed. The data set consists of the actual object images, an HDF file with extracted visual features (via a VGG19 deep convolutional net pretrained for the imagenet competition) and a CSV file containing other information about recorded objects like their global spatial position, spatial position of the robot, a timestamp and the object position within the image Settings of recording the data set: We used the robot to approach five way points to record objects that were located on different kind of furniture. On each way point, the robot did a -30 degree followed by a 60 degree turn for acquiring more object samples from different viewing angles. Objects are extracted by YOLO object detector. For simplifying our experiments, we include only object samples which have the YOLO-classes cup or bottle, however we consider these as meta categories which can be divided into different kind of e.g. bottles. Also, we exclude object samples with a YOLO-confidence with less than 20% and a distance greater than 2 meters. There are then still a share of 5\% remaining clutter images in the data set which do not contain a valid centered bottle or mug, but still exceed our YOLO confidence threshold. While the robot is moving, objects are extracted from the camera stream all the time. Since the robot moves quite fast, there are blurry objects within the data set. However, while the robot is turning at a waypoint, we make sure that all objects are detected by YOLO and there are a maximum of 3-4 frames in a row where an object is missed. The total number of frames is 515 with 2179 resulting object samples in the dataset and 121 clutter samples.
DOI: 10.25345/c56q5h
title: MassIVE MSV000085033 - ZMYM2 mutations cause a syndromic urinary tract malformation via impaired interaction with transcriptional regulators_2020
title: Data contains LC-MS data of proximity-based biotin labeling assay (BioID) to generate the protein interaction network of ZMYM2 (WT, G257*, N398*, C536L fs+13, K812D fs+18) and ZMYM3 proteins fused to FlagBirA (N-terminal tag) and expressed in HEK293 cells.
DOI: 10.6085/aa/scpxxx_015mtbd014r00_20100825.40.1
title: (:unkn)
DOI: 10.6085/aa/scpxxx_015mtbd014r00_20101123.40.1
title: (:unkn)
DOI: 10.6085/aa/scpxxx_015mtbd014r00_20110228.40.1
title: (:unkn)
DOI: 10.6085/aa/scpxxx_015mtbd014r00_20110523.40.1
title: (:unkn)
DOI: 10.6085/aa/scpxxx_015mtbd014r00_20110928.40.1
title: (:unkn)
DOI: 10.17632/k9sykydx5j.1
title: Data for: Volcanic glass weathering and the groundwater geochemistry on the semi-arid Atlantic island of Porto Santo.

description: chemical analysis of groundwater
DOI: 10.5525/gla.researchdata.979
title: H2020 SHEER project (2015-18)

description: This dataset contains all the data collected during the monitoring of groundwater resources near a shale gas site (Wysin, Poland) and some relevant unpublished literature.
DOI: 10.5066/p9j2y1wg
title: A national dataset of rasterized building footprints for the U.S.

description: The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each U.S. state: (1) total footprint coverage, (2) number of unique buildings intersecting each cell, (3) number of building centroids falling inside each cell, and area of the (4) average, (5) smallest, and (6) largest area of buildings that intersect each cell. These values are represented as raster layers with 30m cell size covering the 48 conterminous states, to better support incorporation of building footprint data into large-extent modelling. This Project is funded by NASA's Biological Diversity and Ecological Forcasting program; Award # 80NSSC18k0341
DOI: 10.5281/zenodo.3691944
title: bbarres/drosoMethod: Supporting data and code for: How to create a reliable and reproducible insecticide resistance bioassay? An example on the worldwide invasive pest, Drosophila suzukii.

description: This is the second draft of the code used for the analyses and figures production of the article entitled "How to create a reliable and reproducible insecticide resistance bioassay? An example on the worldwide invasive pest, Drosophila suzukii". The data will be made available upon acceptance of the manuscript soon to be submitted.
DOI: 10.6073/pasta/0109a56d2d7d672be4d34cdc50bd63d0
title: Shark catches (longline), water temperatures, salinities, and dissolved oxygen levels, and stable isotope values in the Shark River Slough, Everglades National Park (FCE LTER) from May 2005 to Present

description: This dataset provides information on the catches of sharks in the Shark River Slough in relation to physical factors including dissolved oxygen, water temperature, salinity, and distance upstream. Analysis of data collected suggest that distance from the Gulf of Mexico and dissolved have the largest effects on shark catch rates, with most juvenile bull sharks being caught in Tarpon Bay. This dataset includes all sharks caught on longline gear.
DOI: 10.21227/pqap-7b64
title: IoT Transient Radio Frequency signals

description: This data set is the capture of the Radio Frequency emissions from 9 IoT devices using an USRP Software Defined Radio. The data set is in MATLAB format and it stores the IQ samples of the signals in space. The data set can be used for experimental and analysis on Radio Frequency identification and authentication.
DOI: 10.21227/0gzv-ny48
title: IoT Transient Radio Frequency signals

description: This data set is the capture of the Radio Frequency emissions from 9 IoT devices using an USRP Software Defined Radio. The data set is in MATLAB format and it stores the IQ samples of the signals in space. The data set can be used for experimental and analysis on Radio Frequency identification and authentication.
DOI: 10.5281/zenodo.3691933
title: PyonAir: An open design, open source, air quality monitor for community driven particulate matter sensing.

description: This dataset present some of the data recorded by two low-cost PM sensors, a Plantower PMS5003 and a Sensirion SPS030 located at Southampton AURN reference station on the 2nd December 2019 between 17:00 and 22:00 during a fire that occurred in the city. It also present the data from the Fidas 200, averaged every 15min also located at the AURN station. The file SPS_PMS_fire.csv contain the following rows: date pm25 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup> sensor - Serial number of the sensor site - name of the location of the sensor The file fidas_15min.csv contains the following rows: date PM2.5 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup>
DOI: 10.5281/zenodo.3691932
title: PyonAir: An open design, open source, air quality monitor for community driven particulate matter sensing.

description: This dataset present some of the data recorded by two low-cost PM sensors, a Plantower PMS5003 and a Sensirion SPS030 located at Southampton AURN reference station on the 2nd December 2019 between 17:00 and 22:00 during a fire that occurred in the city. It also present the data from the Fidas 200, averaged every 15min also located at the AURN station. The file SPS_PMS_fire.csv contain the following rows: date pm25 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup> sensor - Serial number of the sensor site - name of the location of the sensor The file fidas_15min.csv contains the following rows: date PM2.5 - PM<sub>2.5</sub> mass concentration in ug/m<sup>3</sup>
DOI: 10.14272/nlaclapngfwsta-uhfffaoysa-n.1
title: C16H27BCuF4N5
title: InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1

description: This dataset contains experimental data from a sample (InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1). The datasets from the following experiments are available: process 19F nuclear magnetic resonance spectroscopy (19F NMR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/nlaclapngfwsta-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = 7.20 (td, J = 7.7, 1.6 Hz, 1H, H4), 7.16 (dd, J = 7.5, 1.3 Hz, 1H, H6), 6.91 (td, J = 7.4, 1.2 Hz, 1H, H3), 6.47 (d, J = 7.8 Hz, 1H, H5), 3.44 (s, 2H, H7), 2.70 (br s, 12H, H10), 2.28 (s, 6H, H8), 1.96 (s, 3H, MeCN).
DOI: 10.14272/nlaclapngfwsta-uhfffaoysa-n/chmo0000597
title: 19F nuclear magnetic resonance spectroscopy (19F NMR) ()
title: InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1

description: dataset for 19F nuclear magnetic resonance spectroscopy (19F NMR) 19F{1H} NMR (377 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = –151.78 (s, BF4).
DOI: 10.14272/nlaclapngfwsta-uhfffaoysa-n/bfo0000015
title: process ()
title: InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1

description: dataset for process Additional information to facilitate the assignment of signals to structure.
DOI: 10.14272/nlaclapngfwsta-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C14H24N4.C2H3N.BF4.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)5;/h7-10H,11H2,1-6H3;1H3;;/q;;-1;+1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C{1H} NMR (101 MHz, Acetonitrile-d3, 25 °C): δ [ppm] = 164.6 (C9), 151.6 (C1), 133.0 (C6), 130.1 (C4), 129.3 (C2), 123.4 (C5), 122.3 (C3), 118.3 (MeCN), 64.9 (C7), 47.9 (2C, C8), 40.1 (4C, C10), 1.3 (MeCN).
DOI: 10.17632/mwz5828mbc.2
title: CTA Carotid Arteries with 80kV and ASIR-V

description: CTA for carotid arteries using low tube voltage and IIIrd generation IR algorithm
DOI: 10.17632/5tzxfssddm.1
title: Lamina-dependent stretching and unconventional chromosome compartments in early C. elegans embryos. Sawh et al.

description: Raw data from Sawh et al. Molecular Cell, 2020. DOI:https://doi.org/10.1016/j.molcel.2020.02.006
DOI: 10.17632/6x84j2v5zk.1
title: Raw data

description: High Areal and Volumetric Rate Capability of Thick-and-Dense Electrodes of 2D Nanomaterials Enabled by Femtosecond Laser Drilling Micro-hole Array
DOI: 10.17632/yns5rd63rw.1
title: Processed data

description: High Areal and Volumetric Rate Capability of Thick-and-Dense Electrodes of 2D Nanomaterials Enabled by Femtosecond Laser Drilling Micro-hole Array
DOI: 10.14272/womqoohuindjrv-uhfffaoysa-m.1
title: C17H27CuF3N5O3S
title: InChI=1S/C14H24N4.C2H3N.CHF3O3S.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)8(5,6)7;/h7-10H,11H2,1-6H3;1H3;(H,5,6,7);/q;;;+1/p-1

description: This dataset contains experimental data from a sample (InChI=1S/C14H24N4.C2H3N.CHF3O3S.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)8(5,6)7;/h7-10H,11H2,1-6H3;1H3;(H,5,6,7);/q;;;+1/p-1). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 19F nuclear magnetic resonance spectroscopy (19F NMR) process
DOI: 10.14272/womqoohuindjrv-uhfffaoysa-m/bfo0000015
title: process ()
title: InChI=1S/C14H24N4.C2H3N.CHF3O3S.Cu/c1-16(2)11-12-9-7-8-10-13(12)15-14(17(3)4)18(5)6;1-2-3;2-1(3,4)8(5,6)7;/h7-10H,11H2,1-6H3;1H3;(H,5,6,7);/q;;;+1/p-1

description: dataset for process Additional information to facilitate the assignment of signals to structure.