cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2kk69m98fd.1
title: Byrd Glacier processed geodetic grounding line data

description: This dataset is from field work conducted at Byrd Glacier, East Antarctica. Global positioning system (GPS) receivers were deployed over the trunk of the glacier as well as two additional units over subglacial lakes in the catchment basin. The dataset here covers two regions. The first is the grounding line where nine receivers were positioned about the grounding line to identify where tidal flexure was occurring during the 2011/12 Austral summer. The second region is Byrd Glacier's catchment basin where two subglacial lakes are hypothesized to be situated. A GPS receiver was deployed on each and the data available here covers the timeline of February 2011 to the end of January 2013. The map included with the downloadable files highlights the locations of the sites. The deployment sites were equipped with Trimble NetR9, 5700, or R7 receivers with Trimble Zephyr antennae. The collected geodetic data is of dual-frequency carrier-beat phase observations which reveals large (~1 m at the grounding line) vertical motion at the ice surface due to the vertical displacement of water at the bed both from tidal fluctuations and the draining and filling of water in the subglacial lakes. The data contain the time of data collection and the positions (XYZ) of the receivers in meter units. The provided GPS grounding line data is sampled at every 5 minutes and the lake GPS data at every 24-hours. The estimated uncertainties of the vertical positions is 2--5 cm which was determined from geodetic data collected at static rock sites surrounding the trunk of the glacier. It is important to stress that this dataset is processed geodetic data and not raw receiver independent exchange format (RINEX) files for the specified timeline. This work was funded by NSF grants ANT0944087 and ANT1255488. *The included map has a hillshade background created from REMA data (https://www.pgc.umn.edu/data/rema/) downloaded from the Polar Geospatial Center.
DOI: 10.17632/36ttjw92r9.2
title: James T Liu

description: Datasets used in the EOF analyses for the paper entitled "The marine portion of the Changjiang (Yangtze) River sediment delivery system to the East China Sea in winter: coupling between physical processes and biogeochemistry of suspended particles".
DOI: 10.17632/4dwcj8m9pc.1
title: SJSU-UCR_NASA_HAQAST-2_Project

description: This folder contains the data and code for the San Jose State University (SJSU) NASA HAQAST-2 Project (2016-2021). The data and code stored in this folder were created by Co-I Akula Venkatram and graduate student Yifan Ding at University of California, Riverside (UCR) and Co-I Frank Freedman at SJSU. Sub-folders include Tiger Team #1 Imperial Valley Air Pollution Project, Tiger Team #2 Northern California Wildfire in 2017 Project, and Camp Fire in 2018 Project. For more information, please contact PI Minghui Diao at SJSU.
DOI: 10.15468/vtjguv
title: Towards resolving the problematic status of the digenean genus Astiotrema Looss 1900: An updated concept and revision of species composition for Astiotrema (sensu stricto)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Karar, Yasser F. M., Blend, Charles K., Dronen, Norman O., Adel, Asmaa (2021): Towards resolving the problematic status of the digenean genus Astiotrema Looss 1900: An updated concept and revision of species composition for Astiotrema (sensu stricto). Zootaxa 4991 (1): 36-72, DOI: https://doi.org/10.11646/zootaxa.4991.1.2
DOI: 10.15468/prh2ua
title: Three new species Willowsia (Collembola: Entomobryidae) from China and notes on W. japonica

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhou, Rong, Pan, Zhixiang, Ma, Yitong (2021): Three new species Willowsia (Collembola: Entomobryidae) from China and notes on W. japonica. Zootaxa 4991 (1): 73-92, DOI: https://doi.org/10.11646/zootaxa.4991.1.3
DOI: 10.17632/8m43f9cb6m.1
title: Research Data: High energy synchrotron X-ray fluorescence trace element study of a millimeter-sized asteroidal particle in preparation for the Hayabusa2 return sample analyses

description: Research Data associated with the manuscript 'High energy synchrotron X-ray fluorescence trace element study of a millimeter-sized asteroidal particle in preparation for the Hayabusa2 return sample analyses' written by E. De Pauw et al.
DOI: 10.15468/45z9j8
title: Songs in the genus Uromenus (Orthoptera: Tettigoniidae: Ephippigerini): A review with new information about some species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Heller, Klaus-Gerhard, Puskás, Gellért, Szövényi, Gergely, Chobanov, Dragan P. (2021): Songs in the genus Uromenus (Orthoptera: Tettigoniidae: Ephippigerini): A review with new information about some species. Zootaxa 4991 (1): 93-115, DOI: https://doi.org/10.11646/zootaxa.4991.1.4
DOI: 10.17632/wtt9mbzs4k.1
title: Data for Laboratory Study of Fracture Initiation and Propagation under Fluid Pressure in Barre Granite at Stress State Close to Failure

description: This data set was gathered during laboratory experiments on Barre Granite: - The Location Array Matrix was extracted from acoustic emissions - The video shows the fracture mechanisms during failure - The excel data shoes the DAS during the experiments
DOI: 10.17632/m4dptw3yg7.1
title: Utilizing predictive models to identify the influence of full prior distribution in hypothesis testing problems - Simulation Data

description: Computational simulation data set for 3 types of hypotheses: right-hand, left-hand and both-hands. The files include: generator.ipynb - Python code for generating the simulations used by the classifier. classifiers.ipynb - Python code for the tree classifier. data.xlsx - the data set generated by the generator. including a dictionary.
DOI: 10.17632/fsxxr5pkbr.1
title: Almeida et al_A highly complex, MHC-linked, 350 million-year-old shark nonclassical class I lineage

description: This link includes 3 files with the new nonclassical MHC class I UEA amino acid sequences shown in Figure 1 of the paper, as well as the MHC class I UAA and UEA sequences of the alpha 3 domain used in gene expression estimation with RSEM (Figure 6).
DOI: 10.6073/pasta/2bfe7b7b0cba336b3808980b7f9929b3
title: Long-term monitoring of herpetofauna along the Salt and Gila Rivers in and near the greater Phoenix metropolitan area, ongoing since 2012 (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/627/5. The abstract below was extracted from the Level 0 data package and is included for context:
DOI: 10.6084/m9.figshare.13148117.v2
title: Rawdata Baseline/Replication - Impact of Usability Mechanisms

description: Rawdata and R code for usability mechanism - analysis of impact.<br>Baseline (Marcelo).xlsx: rawdata of baseline experiment.Replication_1 (Herea).xlsx: rawdata of replication #1 of baseline experimentReplication_2 (Adriana).xlsx: rawdata of replication #2 of baseline experiment<br><br>Analysis.R: file containing the R code to analyze experiments (Summary statistics).Meta-analysis.R: file containing the R code to analyze SE family of experiments.
DOI: 10.6084/m9.figshare.13148117.v3
title: Rawdata Baseline/Replication - Impact of Usability Mechanisms

description: Rawdata and R code for usability mechanism - analysis of impact.<br>Baseline (Marcelo).xlsx: rawdata of baseline experiment.Replication_1 (Herea).xlsx: rawdata of replication #1 of baseline experimentReplication_2 (Adriana).xlsx: rawdata of replication #2 of baseline experiment<br><br>Analysis.R: file containing the R code to analyze experiments (Summary statistics).Meta-analysis.R: file containing the R code to analyze SE family of experiments.
DOI: 10.6084/m9.figshare.13148117.v4
title: Rawdata Baseline/Replication - Impact of Usability Mechanisms

description: Rawdata and R code for usability mechanism - analysis of impact.<br>Baseline.xlsx: rawdata of baseline experiment.Replication_1.xlsx: rawdata of replication #1 of baseline experimentReplication_2.xlsx: rawdata of replication #2 of baseline experiment<br><br>Analysis.R: file containing the R code to analyze experiments (Summary statistics).Meta-analysis.R: file containing the R code to analyze SE family of experiments.
DOI: 10.17632/v24ytccs4h.1
title: Nrde2 and Ccdc174 publication original western blots

description: Original western blot images for the publication:
DOI: 10.6084/m9.figshare.14934405
title: Quantifying the potential for red blood cell β-adrenergic sodium-proton exchangers to protect oxygen transport in hypoxic and hypercapnic white seabass

description: <b>Supplement for research article:</b>Red blood cells protect oxygen transport with adrenergic sodium-proton exchangers in hypoxic and hypercapnic white seabass<br><b>Submitted to:</b>American Journal of Physiology-Regulatory, Integrative and Comparative Physiology<br><b>Contents:</b>Supplementary Tables (1 and 2)<br>Supplementary Figures (1 to 7)<br>Supplementary Movies (1 and 2)<br>
DOI: 10.6084/m9.figshare.14934405.v1
title: Quantifying the potential for red blood cell β-adrenergic sodium-proton exchangers to protect oxygen transport in hypoxic and hypercapnic white seabass

description: <b>Supplement for research article:</b>Red blood cells protect oxygen transport with adrenergic sodium-proton exchangers in hypoxic and hypercapnic white seabass<br><b>Submitted to:</b>American Journal of Physiology-Regulatory, Integrative and Comparative Physiology<br><b>Contents:</b>Supplementary Tables (1 and 2)<br>Supplementary Figures (1 to 7)<br>Supplementary Movies (1 and 2)<br>
DOI: 10.17632/c249p8gdzd.2
title: Data for: Connecting MHC-I-binding motifs with HLA alleles via deep learning

description: This dataset contains the research data supporting the study, “connecting MHC-I-binding motifs with HLA alleles via deep learning”. 1. MHCI_res182_seq.json: the peptide-binding cleft sequence of each MHC-I allele extracted from the IPD-IMGT/HLA database (version 3.41.0) 2. MHCI_res182_onehot.npy: the one-hot encoding of the peptide-binding cleft sequence of MHC-I allele 3. dataframe.tar.gz: this folder contains training, validation, and benchmark datasets [the common columns] 1. sequence: the peptide sequence 2. peptide_length: the length of peptide sequences 3. mhc: the MHC-I allele 4. meas: binding affinity for assay data 5. value: the value (between 0 and 1) converted from the binding affinity 6. bind: the label of binding 7. source: data source (assay, MS, random decoy, or peptide decoy) 1. train_hit.csv 1. data: measurements extracted from IEDB for the training process 2. columns 1. the common columns 2. MHCfovea: the prediction score of MHCfovea (used for ScoreCAM analysis) 2. train_decoy_{1-90}.csv 1. data: artificial decoy peptides for the training process; the data number of each file is almost equal to the number of eluted peptides 2. columns 1. the common columns 3. valid.csv 1. data: measurements extracted from IEDB and decoy peptides for validation 2. columns 1. the common columns 2. batch_size_{16, 32, 64}_and_learning_rate_{0.00100, 0.00010, 0.00001}: for optimizing hyperparameters of batch size and learning rate 3. DE_{1, 5, 10, 15, 30}_and_{30, 60, 90}: for optimizing the D-E ratio of the training and downsized dataset; the first number is the D-E ratio of the downsized dataset and the second number is the D-E ratio of the training dataset 4. benchmark.csv 1. data: eluted peptides extracted from IEDB and decoy peptides for the testing process 2. columns 1. the common columns 2. NetMHCpan4.1, MHCflurry2.0, MixMHCpred2.1, MHCfovea: the prediction score of each predictor 4. allele_expansion.tar.gz: this folder contains data for the allele expansion 1. peptides.csv: peptides used for allele expansion 2. output/{MHC-I group} 1. allele.json: alleles of the MHC-I group 2. motif.npy: binding motifs for each allele 3. prediction.npy: prediction score for each allele (the order is the same as that of peptides.csv)
DOI: 10.17632/ys8tmvcxs8.1
title: Evaluation of connectivity characteristics on the permeability 2 of two-dimensional fracture networks using geological entropy

description: two-dimensional fracture networks model Entropy Scale
DOI: 10.5517/ccdc.csd.cc27x1px
title: CCDC 2082539: Experimental Crystal Structure Determination

description: Related Article: Changan Li, Michael A. Sinnwell, Dale C. Swenson, Leonard R. MacGillivray|2021|Chem.Commun.|57|6725|doi:10.1039/D1CC02725E
DOI: 10.5517/ccdc.csd.cc27x1qy
title: CCDC 2082540: Experimental Crystal Structure Determination

description: Related Article: Changan Li, Michael A. Sinnwell, Dale C. Swenson, Leonard R. MacGillivray|2021|Chem.Commun.|57|6725|doi:10.1039/D1CC02725E
DOI: 10.5517/ccdc.csd.cc27xd0l
title: CCDC 2082859: Experimental Crystal Structure Determination

description: Related Article: Yasunori Toda, Minoru Shishido, Tatsuya Aoki, Kimiya Sukegawa, Hiroyuki Suga|2021|Chem.Commun.|57|6672|doi:10.1039/D1CC02493K
DOI: 10.5517/ccdc.csd.cc27xpsn
title: CCDC 2083162: Experimental Crystal Structure Determination

description: Related Article: Iryna S. Kuzevanova, Olesia I. Kucheriv, Volodymyr M. Hiiuk, Dina D. Naumova, Sergiu Shova, Sergii I. Shylin, Volodymyr O. Kotsyubynsky, Aurelian Rotaru, Igor O. Fritsky, Il'ya A. Gural'skiy|2021|Dalton Trans.|50|9250|doi:10.1039/D1DT01544C
DOI: 10.5517/ccdc.csd.cc27xptp
title: CCDC 2083163: Experimental Crystal Structure Determination

description: Related Article: Iryna S. Kuzevanova, Olesia I. Kucheriv, Volodymyr M. Hiiuk, Dina D. Naumova, Sergiu Shova, Sergii I. Shylin, Volodymyr O. Kotsyubynsky, Aurelian Rotaru, Igor O. Fritsky, Il'ya A. Gural'skiy|2021|Dalton Trans.|50|9250|doi:10.1039/D1DT01544C
DOI: 10.5517/ccdc.csd.cc276rv2
title: CCDC 2062084: Experimental Crystal Structure Determination

description: Related Article: Jia-Nian Li, Ze-Yu Du, Ning-Fang Li, Ye-Min Han, Ting-Ting Zang, Mu-Xiu Yang, Xiao-Mei Liu, Ji-Lei Wang, Hua Mei, Yan Xu|2021|Dalton Trans.|50|9137|doi:10.1039/D1DT00809A
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3): δ [ppm] = 8.79 (s, 6H, NH2), 3.88 (s, 9H, CH3).
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000563
title: fast-atom bombardment mass spectrometry (FABMS) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for fast-atom bombardment mass spectrometry (FABMS) MS (FAB, 3-NBA), m/z (%): 298 (57) [M+H]+, 297 (77) [M]+, 267 (15), 266 (100), 234 (23), 207 (12), 202 (12), 154 (17), 147 (15), 137 (11), 136 (23), 131 (12), 129 (10), 123 (12), 121 (12), 119 (16), 117 (12), 115 (11), 111 (11), 109 (27), 107 (22), 105 (22), 97 (26), 95 (49), 93 (27), 91 (44), 89 (10).
DOI: 10.17632/spdkrdb2jk.1
title: Clinical features and management of kaposiform hemangioendothelioma and tufted angioma: similarities and differences (JAAD Supplemental Material)

description: Supplementary Figure 1. Kaposiform hemangioendothelioma without the Kasabach-Merritt phenomenon on the right side of the face (A); tufted angioma without the Kasabach-Merritt phenomenon on the left side of the face (B). Supplementary Figure 2. Kaposiform hemangioendothelioma with the Kasabach-Merritt phenomenon in the right thigh (A); tufted angioma without the Kasabach-Merritt phenomenon in the right thigh (B).
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3479 (m), 3442 (m), 3282 (m), 3247 (m), 2993 (w), 2948 (w), 2904 (w), 1754 (vw), 1677 (w), 1655 (m), 1596 (m), 1560 (vs), 1509 (vs), 1466 (s), 1426 (vs), 1295 (w), 1215 (vs), 1163 (vs), 1064 (vs), 976 (s), 850 (m), 809 (vs), 789 (s), 722 (s), 671 (s), 602 (m), 596 (m), 581 (w), 528 (s), 469 (vs), 438 (vs), 392 (vs) cm–1.
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000498
title: high-resolution mass spectrometry (HRMS) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for high-resolution mass spectrometry (HRMS) HRMS–FAB (m/z): [M]+ calcd for C12H15O6N3: 297.0955; found 297.0954.
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for heteronuclear single quantum coherence (HSQC) 2D Spektren
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate)
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 169.1 (3C), 159.2 (3C), 86.5 (3C), 51.2 (3C).
DOI: 10.14272/kljbldculbnqfl-uhfffaoysa-n.1
title: trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate
title: InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3

description: This dataset contains experimental data from a sample (trimethyl 2,4,6-triaminobenzene-1,3,5-tricarboxylate, InChI=1S/C12H15N3O6/c1-19-10(16)4-7(13)5(11(17)20-2)9(15)6(8(4)14)12(18)21-3/h13-15H2,1-3H3). The datasets from the following experiments are available: heteronuclear single quantum coherence (HSQC) 13C nuclear magnetic resonance spectroscopy (13C NMR) 1H nuclear magnetic resonance spectroscopy (1H NMR) fast-atom bombardment mass spectrometry (FABMS) infrared absorption spectroscopy (IR) high-resolution mass spectrometry (HRMS) heteronuclear multiple bond coherence (HMBC)
DOI: 10.17632/p6sp5tc73z.1
title: Raw data1

description: Summary of raw data
DOI: 10.5281/zenodo.5088177
title: Role of Benzylic Deprotonation in Nickel-Catalyzed Benzylic Dehydrogenation

description: Alkylarenes are readily functionalized via the corresponding benzylic anions. Benzylic anions have been used for a range of catalytic reactions, including Ni-catalyzed dehydrogenation. Interestingly, the employment of Zn(TMP)2 for slow and incomplete deprotonation of the benzylic position was observed. This manuscript describes a preliminary investigation into the deprotonation of heteroarenes and its relationship to Ni-catalyzed benzylic dehydrogenation.<br>
DOI: 10.5281/zenodo.5088176
title: Role of Benzylic Deprotonation in Nickel-Catalyzed Benzylic Dehydrogenation

description: Alkylarenes are readily functionalized via the corresponding benzylic anions. Benzylic anions have been used for a range of catalytic reactions, including Ni-catalyzed dehydrogenation. Interestingly, the employment of Zn(TMP)2 for slow and incomplete deprotonation of the benzylic position was observed. This manuscript describes a preliminary investigation into the deprotonation of heteroarenes and its relationship to Ni-catalyzed benzylic dehydrogenation.<br>
DOI: 10.17632/bcjdytpkn3.1
title: Impact of Entrepreneurship Extracurricular Activities and Inspiration on Entrepreneurial Intention

description: This data from an empirical study proposed a comprehensive model testing the direct and indirect impacts of entrepreneurship extracurricular activities and entrepreneurship inspiration on students’ entrepreneurial intention. The sample consisting of 640 students from 11 universities in Vietnam.
DOI: 10.17632/j92bjksxkp.1
title: LINF_150016100

description: Dolichol phosphate-mannose biosynthesis regulatory protein (DPM2) Leishmania infantum (strain JPCM5)
DOI: 10.17632/wzfwf5hjh9.1
title: LINF_150016000

description: Peroxisomal membrane protein (Pex16) Leishmania infantum (strain JPCM5)
DOI: 10.17632/57mm7dzyh7.1
title: LINF_150015800

description: hypothetical protein - conserved Leishmania infantum (strain JPCM5)
DOI: 10.17632/8fhtw2jkcg.1
title: LINF_150015700

description: mitoribosomal protein mS53 Leishmania infantum (strain JPCM5)
DOI: 10.17632/kw6k3k26kr.1
title: LINF_150015500

description: protein kinase Leishmania infantum (strain JPCM5)
DOI: 10.17632/tch67s29x6.1
title: optical investigation of leak discharge

description: optical investigation of leakage discharge at specimen VS045
DOI: 10.17632/jvz6n6gfzj.1
title: Data set Benchmarking MS FinTech Curriculum

description: List of Institutions offering MSc FinTech programs 1 MS Finance (FinTech and Financial Analytics), HK Baptist University, Hong Kong 2 MS Financial Technology, New Jersey City University, USA 3 MSc Financial Technology, HK University of Science & Technology, Hong Kong 4 MSc Financial Technology, Imperial College Business School, UK 5 MSc Financial Technology, University of Birmingham, UK 6 MSc Financial Technology, University of Essex, UK 7 MSc Financial Technology, University of Glasgow, UK 8 MSc Financial Technology, University of Liverpool, UK 9 MSc Financial Technology, University of Strathclyde, UK 10 MSc Financial Technology (FinTech), Nanyang Technological University, Singapore 11 MSc Financial Technology (FinTech), Coventry University, UK 12 MSc Financial Technology (FinTech), Manchester Metropolitan University, UK 13 MSc Financial Technology (FinTech), Teesside University, UK 14 MSc Financial Technology (FinTech), University of Salford, UK 15 MSc Financial Technology (FinTech), University of Stirling, UK 16 MSc Financial Technology (Fintech), University of Exeter, UK 17 MSc Financial Technology (FinTech), University of West England - Bristol, UK 18 MSc Fintech, Risk and Investment Analysis, University of Sussex, UK 19 MSc Fintech with Business Analytics, University of Westminster, UK 20 MSc FinTech and Policy, University of Surrey, UK 21 MSc FinTech and Financial Markets, Nottingham Trent University, UK 22 MSc Fintech, University of Huddersfield, UK Six subject areas were identified including: • FinTech; • Technology; • Finance; • Analytics; • RegTech; • Others. Data is organized in three worksheets; 1. Raw data comparing 22 MSc programs 2. Course wise arrangement of all programs 3. MS FinTech structure