cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/rjoywtpjyznrjd-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C16H15Br/c17-16-11-14-6-5-12-1-3-13(4-2-12)7-9-15(16)10-8-14/h1-4,8,10-11H,5-7,9H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ, cm–1) = 3031 (w), 3007 (w), 2953 (w), 2924 (s), 2887 (m), 2849 (m), 1584 (m), 1541 (w), 1496 (w), 1475 (m), 1448 (w), 1431 (w), 1408 (w), 1390 (s), 1235 (w), 1203 (w), 1186 (w), 1094 (w), 1034 (vs), 942 (w), 897 (s), 871 (w), 839 (vs), 792 (s), 718 (s), 708 (vs), 691 (m), 669 (s), 640 (vs), 577 (m), 514 (vs), 473 (s), 458 (w), 405 (w), 381 (w).
DOI: 10.18716/nmrshiftdb2/74179
title: NMR data for 3,4-dimethoxybenzonitrile
DOI: 10.18716/nmrshiftdb2/74177
title: NMR data for 4-acetylbenzonitrile
DOI: 10.21227/3hdm-5z94
title: New concept high quality high performance hearing aid

description: New concept high quality high performance hearing aidA typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.A joint project was launched, introducing high performance amplifier circuits and a new concept of hearing aids.Refer to the dataset below for amplifiers with high quality amplification technology.https://ieee-dataport.org/documents/high-quality-sound-amplification-technology-datasetAttachment is written in Korean.
DOI: 10.21227/yz7d-h628
title: New concept high quality high performance hearing aid

description: New concept high quality high performance hearing aidA typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.A joint project was launched, introducing high performance amplifier circuits and a new concept of hearing aids.Refer to the dataset below for amplifiers with high quality amplification technology.https://ieee-dataport.org/documents/high-quality-sound-amplification-technology-datasetAttachment is written in Korean.
DOI: 10.5281/zenodo.3600175
title: 161 samples from historical bug fixes dataset

description: 161 bugs and corresponding patches from historical bug fixes dataset that fulfill following criteria: Unique Satisfy redundancy assumption at file level Fixed by applying replacement mutation Require fixing at expression level Having available project and dependency files
DOI: 10.18716/nmrshiftdb2/74175
title: NMR data for 4-methylsulfanylbenzonitrile
DOI: 10.21227/xf54-7t38
title: Dataset of Surface Electromyographic (sEMG) signals and Finger Kinematics

description: Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics". In our study, surface lectromyographic (sEMG) signals from the forearm and finger joint marker data were recorded from able-bodied subjects while they were tasked to do individual, simultaneous and random multiple finger flexion and extension movements. Included in this dataset are the EMG signals from 8 extrinsic muscles along the forearm, and as much as 23 joint markers attached on the hand obtained from 10 subjects. More description about the experimental protocol, signal processing methods and equipments used are described in the paper below. - S.K.Dwivedi, J. Ngeo, T.Shibata, Transaction of Biomedical Engineering, In Press, "Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics."
DOI: 10.21227/ym1t-d817
title: Dataset of Surface Electromyographic (sEMG) signals and Finger Kinematics

description: Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics". In our study, surface lectromyographic (sEMG) signals from the forearm and finger joint marker data were recorded from able-bodied subjects while they were tasked to do individual, simultaneous and random multiple finger flexion and extensionmovements. Included in this dataset are the EMG signals from 8 extrinsic muscles along the forearm, and as much as 23 joint markers attached on the hand obtained from 10 subjects. More description about the experimental protocol, signal processing methods and equipments used are described in the papers below. - S.K.Dwivedi, J. Ngeo, T.Shibata, Transaction of Biomedical Engineering, In Press, "Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics."
DOI: 10.21227/265j-0e30
title: Dataset of Surface Electromyographic (sEMG) signals and Finger Kinematics

description: Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics". In our study, surface lectromyographic (sEMG) signals from the forearm and finger joint marker data were recorded from able-bodied subjects while they were tasked to do individual, simultaneous and random multiple finger flexion and extension movements. Included in this dataset are the EMG signals from 8 extrinsic muscles along the forearm, and as much as 23 joint markers attached on the hand obtained from 10 subjects. More description about the experimental protocol, signal processing methods and equipments used are described in the paper below. - S.K.Dwivedi, J. Ngeo, T.Shibata, Transaction of Biomedical Engineering, In Press, "Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics."
DOI: 10.18716/nmrshiftdb2/74182
title: NMR data for 4-methyl-2-(propan-2-ylamino)benzonitrile
DOI: 10.5281/zenodo.3600184
title: Thesis-Supplementary Tables

description: The uploaded excel file contains all the supplementary tables for Marwa Almosailleakh Doctoral Thesis tilted '' Insights into cellular and molecular mechanisms of normal and malignant hematopoiesis from mouse models''
DOI: 10.5281/zenodo.3600185
title: Thesis-Supplementary Tables

description: The uploaded excel file contains all the supplementary tables for Marwa Almosailleakh Doctoral Thesis tilted '' Insights into cellular and molecular mechanisms of normal and malignant hematopoiesis from mouse models''
DOI: 10.18716/nmrshiftdb2/74181
title: NMR data for 1,3-benzodioxole-5-carbonitrile
DOI: 10.18716/nmrshiftdb2/74180
title: NMR data for 4-hydroxy-3-methoxybenzonitrile
DOI: 10.25345/c5x107
title: MassIVE MSV000084762 - GNPS - AHU TRDF Data Jan 7th 2020
title: Dataset Title - AHU TRDF Data Note - Text file included for division into &gt;6 groups
DOI: 10.14459/2019mp1521746
title: Machine learning models for identifying preterm infants at risk of cerebral hemorrhage
DOI: 10.18716/nmrshiftdb2/74183
title: NMR data for 4-chloro-3-nitrobenzonitrile
DOI: 10.5286/isis.e.rb2000042
title: Soft-templating of hard carbons to produce ordered and disordered Hard carbons.

description: Carbonized biowaste presents a promising route to producing energy materials in a carbonnegative way, given that the precursor material (i.e. plant material) relies on the conversion ofatmospheric CO2 to sugar molecules. By treating cellulose, starch or other sugar molecules athigh temperature (230 oC) and pressure in aqueous solution, an amorphous high carbon materialis formed. This hydrothermal carbon (HTC) can be further modified to produce battery anodes,water purification filters, supercapacitors, fuel cells and catalyst supports. This process yieldanodes with high capacity for sodium ion batteries, but with relatively poor rate capability. This canbe improved by soft templating the carbon material during the HTC process, thereby introducingnew pore structures. here we propose to measure neutron pdf iwth SANS to better understand theatomic and pore structures.
DOI: 10.5281/zenodo.3600219
title: Prosopographical Database of Yahudu and Its Surroundings

description: This is a prosopographical database of people attested in the village of Yahudu and its surroundings in the Babylonian countryside. It relates to chapter 4 in Tero Alstola (2020), <em>Judeans in Babylonia: A Study of Deportees in the Sixth and Fifth Centuries BCE</em> (Culture and History of the Ancient Near East 109. Leiden: Brill). For further information, see the readme files.
description: This research has been financially supported by the ERC Starting Grant project "By the Rivers of Babylon: New Perspectives on Second Temple Judaism from Cuneiform Texts" and by two projects funded by the Academy of Finland, the Centre of Excellence in Changes in Sacred Texts and Traditions and the Centre of Excellence in Ancient Near Eastern Empires.
DOI: 10.5286/isis.e.rb2000042-1
title: Soft-templating of hard carbons to produce ordered and disordered Hard carbons.

description: Carbonized biowaste presents a promising route to producing energy materials in a carbonnegative way, given that the precursor material (i.e. plant material) relies on the conversion ofatmospheric CO2 to sugar molecules. By treating cellulose, starch or other sugar molecules athigh temperature (230 oC) and pressure in aqueous solution, an amorphous high carbon materialis formed. This hydrothermal carbon (HTC) can be further modified to produce battery anodes,water purification filters, supercapacitors, fuel cells and catalyst supports. This process yieldanodes with high capacity for sodium ion batteries, but with relatively poor rate capability. This canbe improved by soft templating the carbon material during the HTC process, thereby introducingnew pore structures. here we propose to measure neutron pdf iwth SANS to better understand theatomic and pore structures.
DOI: 10.18716/nmrshiftdb2/74185
title: NMR data for 3,4-dinitrobenzonitrile
DOI: 10.5281/zenodo.3600232
title: Atmospheric forcing dataset for Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0

description: Input dataset for the LAKE2.0 model (http://tesla.parallel.ru/Viktor/LAKE/wikis/LAKE-model) that was used for the experiments in the "Numerical study of the seasonal thermal and gas regimes of the large artificial lake in Western Europe using LAKE2.0" article. Archive contains the atmospheric forcing file itself, file with the header description, and the setup and driver files for the LAKE2.0 model. Source code of the current version of the LAKE2.0 model used in the work mentioned above and the pre-compiled exec of FLake model are also provided as .zip files.
DOI: 10.18716/nmrshiftdb2/74184
title: NMR data for 2-amino-5-nitrobenzonitrile
DOI: 10.18716/nmrshiftdb2/74190
title: NMR data for 3,4,5,6-tetrafluorobenzene-1,2-dicarbonitrile
DOI: 10.7910/dvn/fyxnim/he2aq5
title: Codebook for replication dataset.pdf

description: Codebook
DOI: 10.7910/dvn/fyxnim/kyiggj
title: Dataset for replication - The Politics of Creditworthiness.tab

description: Dataset
DOI: 10.7910/dvn/fyxnim/wkro83
title: Replication code for The Politics of Creditworthiness.R

description: R code for replication
DOI: 10.18716/nmrshiftdb2/74187
title: NMR data for 3,5-difluorobenzonitrile
DOI: 10.18716/nmrshiftdb2/74188
title: NMR data for 3,5-dimethoxybenzonitrile
DOI: 10.18716/nmrshiftdb2/74189
title: NMR data for 4,5-dimethoxy-2-nitrobenzonitrile
DOI: 10.18716/nmrshiftdb2/74191
title: NMR data for 4-phenylbenzonitrile
DOI: 10.18716/nmrshiftdb2/74186
title: NMR data for 4-nitrobenzene-1,2-dicarbonitrile
DOI: 10.18716/nmrshiftdb2/74192
title: NMR data for 4-(4-hydroxyphenyl)benzonitrile
DOI: 10.18716/nmrshiftdb2/74194
title: NMR data for 1,4-diisocyanobenzene
DOI: 10.18716/nmrshiftdb2/74195
title: NMR data for 1-(bromomethyl)-4-methoxybenzene
DOI: 10.18716/nmrshiftdb2/74193
title: NMR data for isocyanomethylbenzene
DOI: 10.18716/nmrshiftdb2/74196
title: NMR data for 1-(3-bromoprop-1-en-2-yl)-4-methoxybenzene
DOI: 10.18716/nmrshiftdb2/74197
title: NMR data for 2,2-dimethyl-3H-1-benzofuran-7-carboxylic acid
DOI: 10.18716/nmrshiftdb2/74200
title: NMR data for 2,4-dimethyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74199
title: NMR data for 3,3-dimethyl-2H-1-benzofuran-7-carboxylic acid
DOI: 10.18716/nmrshiftdb2/74201
title: NMR data for 2,2-dimethyl-1,3-benzodioxol-4-ol
DOI: 10.5281/zenodo.3600241
title: Data for - The environmental footprint of transport by car using renewable energy

description: Replacing fossil fuels in the transport sector by renewable energy will help combat climate change. However, lowering greenhouse gas emissions by switching to alternative fuels or electricity can come at the expense of land and water resources. To understand the scale of this possible tradeoff we compare and contrast carbon, land and water footprints per driven km in midsize cars utilizing conventional gasoline, biofuels, bioelectricity, solar electricity and solar-based hydrogen. Results show that solar-powered electric cars have the smallest environmental footprints per km, followed by solar-based hydrogen cars, and that biofuel-driven cars have the largest footprints.
description: Data is collected from peer reviewed publications, government agencies and international organizations. This file should be navigated from top-down and from left to right.
DOI: 10.5281/zenodo.3600242
title: Data for - The environmental footprint of transport by car using renewable energy

description: Replacing fossil fuels in the transport sector by renewable energy will help combat climate change. However, lowering greenhouse gas emissions by switching to alternative fuels or electricity can come at the expense of land and water resources. To understand the scale of this possible tradeoff we compare and contrast carbon, land and water footprints per driven km in midsize cars utilizing conventional gasoline, biofuels, bioelectricity, solar electricity and solar-based hydrogen. Results show that solar-powered electric cars have the smallest environmental footprints per km, followed by solar-based hydrogen cars, and that biofuel-driven cars have the largest footprints.
description: Data is collected from peer reviewed publications, government agencies and international organizations. This file should be navigated from top-down and from left to right.
DOI: 10.18716/nmrshiftdb2/74198
title: NMR data for 5-bromo-3,3-dimethyl-2H-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74224
title: NMR data for 1-ethenoxypropa-1,2-diene
DOI: 10.18716/nmrshiftdb2/74203
title: NMR data for 1,3-benzodioxol-4-ol
DOI: 10.18716/nmrshiftdb2/74205
title: NMR data for 2,5-dimethyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74202
title: NMR data for 8-iodo-2,2-dimethyl-3,4-dihydrochromene
DOI: 10.17632/fdfys52zgf.1
title: Data for: Understanding SLL / US$ exchange rate dynamics in Sierra Leone using Box-Jenkins ARIMA approach

description: The is an EVIEWS file containing data used to forecast Exchange Rate dynamics for 2020 in Sierra Leone. Source of Data: Bank of Sierra Leone data archive
DOI: 10.17632/fdfys52zgf.2
title: Data for: Understanding SLL / US$ exchange rate dynamics in Sierra Leone using Box-Jenkins ARIMA approach

description: The is an EVIEWS file containing data used to forecast Exchange Rate dynamics for 2020 in Sierra Leone. Source of Data: Bank of Sierra Leone data archive. Disclaimer: Views expressed from this research output are those of the author and do not in any way reflect that of the Bank of Sierra Leone.
DOI: 10.17632/ycbfk3xzfn.1
title: Data for: SVM-based Waist Circumference Estimation Using Kinect

description: This is a depth frame dataset of 19 adults taken with Kinect v1. 60 frames were shot per person, a total of 1,140 frames. It contains depth image, body index and joint points generated by Kinect SDK v1.8. IRB File No. CUH2017-09-011
DOI: 10.17632/zb3d696s5c.1
title: Integrated approach for data acquisition, visualization and processing of analog polarographic systems for bioenergetics studies

description: Graphical user interface for bioenergetics data. This is the supplemental material of the manuscript "Integrated approach for data acquisition, visualization and processing of analog polarographic systems for bioenergetics studies" that includes the graphical user interface (GUI), user guide and file examples generated with the GUI and a video tutorial. The GUI allows to calibrate oxygen sensor, continuous visualization, decimation and analysis of data recorded with a comma separated values format. GUI can be used to visualize and analyze data of analog polarographic systems. The GUI allows to overcome cumbersome calculations to extract bioenergetic data from oxygen kinetics, enhance the accuracy of RCR and ADP/O ratio, and optimize the decimation of kinetic data for computational applications.
DOI: 10.17632/ybpczvr8nw.1
title: Supplementary Tables 4a, 4b and 5 (Hu JZ, Billings SD, Yan D, Fernandez AP. Histological Comparison of TNF-α Inhibitor-Induced Psoriasis and Psoriasis Vulgaris. J Am Acad Dermatol 2020)

description: Table 4a - Histologic Characteristics of TNFI-Psoriasis based on Inciting TNFI Table 4b- Adjusted Residual Analysis for Acanthosis Table 5- Histologic Characteristics of TNFI-Psoriasis Patients based on Response to Topical Treatment
DOI: 10.18716/nmrshiftdb2/74204
title: NMR data for 2,6-dimethyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74226
title: NMR data for hex-3-ynal
DOI: 10.17632/7x6kzygpy8.1
title: Data_Mental practice is associated with learning the relative, but not absolute, timing dimension of a task

description: Learning about the relative timing dimension of a motor skill is enhanced by factors that promotes higher response stability between trials. Conversely, learning the absolute timing dimension is favored by lower trial-to-trial stability. Mental practice may increase response stability during acquisition, since there is low possibility of adjustments made between trials. Thus, the aim of this study was to the hypothesis that some factors that increase response stability during acquisition phase contributes to an enhanced relative timing dimension learning. Our hypothesis was that mental practice is strongly and positively associated with learning the relative timing dimension. A sequential key-pressing task was practiced with two goals: learn (1) relative timing dimension and (2) absolute timing dimension. Participants were assigned to one of three groups: Physical, Mental or No practice. The Physical group showed greater learning of both dimensions, than the other two groups. The Mental group showed greater learning of relative timing dimension than the No practice group. The results suggest that mental practice produces increased stability, which in turn promotes learning of the relative timing dimension.
DOI: 10.17632/7x6kzygpy8.2
title: Mental practice is associated with learning the relative, but not absolute, timing dimension of a task

description: Learning about the relative timing dimension of a motor skill is enhanced by factors that promotes higher response stability between trials. Conversely, learning the absolute timing dimension is favored by lower trial-to-trial stability. Mental practice may increase response stability during acquisition, since there is low possibility of adjustments made between trials. Thus, the aim of this study was to the hypothesis that some factors that increase response stability during acquisition phase contributes to an enhanced relative timing dimension learning. Our hypothesis was that mental practice is strongly and positively associated with learning the relative timing dimension. A sequential key-pressing task was practiced with two goals: learn (1) relative timing dimension and (2) absolute timing dimension. Participants were assigned to one of three groups: Physical, Mental or No practice. The Physical group showed greater learning of both dimensions, than the other two groups. The Mental group showed greater learning of relative timing dimension than the No practice group. The results suggest that mental practice produces increased stability, which in turn promotes learning of the relative timing dimension.
DOI: 10.18716/nmrshiftdb2/74206
title: NMR data for 4-methyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74210
title: NMR data for 2,3,7-trimethyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74208
title: NMR data for 7-methyl-1-benzofuran
DOI: 10.18716/nmrshiftdb2/74207
title: NMR data for InChI=1S/C13H14O2/c1-3-4-5-11-10-7-6-9(2)8-12(10)15-13(11)14/h3,6-8,11H,1,4-5H2,2H3
DOI: 10.18716/nmrshiftdb2/74209
title: NMR data for InChI=1S/C13H17N3O/c1-2-13(12-15-5-6-16-12)8-9-7-10(14)3-4-11(9)17-13/h3-4,7H,2,5-6,8,14H2,1H3,(H,15,16)
DOI: 10.17632/cymynmkxmj.5
title: Supplementary data of single pixel imaging experiment

description: Supplementary data of the application of single pixel imaging using different Hadamard matrix orders. The orders are Natural, Walsh, Cake-cutting, High Frequency and Random. This dataset includes reconstructed images from simulated and real data. Version 5: Bug fixed for the reconstruction using Natural order.
DOI: 10.18716/nmrshiftdb2/74212
title: NMR data for ethenoxyethene
DOI: 10.17632/b2h8drfms4.2
title: AC-VRP-SPDVCFP

description: In this repository, the benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths is introduced (AC-VRP-SPDVCFP). This problem is a specific multi-attribute variant of the well-known Vehicle Routing Problem, and it has been originally built for modelling and solving a real-world newspaper distribution problem with recycling policy. The whole benchmark is composed by 15 instances comprised by 50 to 100 nodes. For the design of this dataset, real geographical positions have been used, located in the province of Bizkaia, Spain. A deep description of the benchmark is provided in this paper, aiming at extending the details and experimentation given in: Eneko Osaba, Xin-She Yang, Fernando Diaz, et al. (2017). A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing, 21(18), 5295-5308. DOI: https://doi.org/10.1007/s00500-016-2114-1
DOI: 10.17632/cghynpmzvh.1
title: The Effects of Heparin-Coated Nanoparticles on Human Vascular Cells In Vitro
DOI: 10.18716/nmrshiftdb2/74211
title: NMR data for sulfinylmethane