cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6514344
title: GPS data for COPEX campaign carried out in 2002 in Brazil by INPE (Boa Vista Station)

description: This repository provides the GPS data acquired in Boa Vista station during the Conjugate Point Equatorial Experiment (COPEX) campaign in 2002. In the folders it can find the raw intensity data (FSL file) and also the summary files (SUM files), containing only with S4 index with time and satellite ID. More information about the campaign can be found in Muella et al. (2008), Abdu et al. (2009) and de Paula et al. (2010). Information about the data recording format and reading extraction procedure of this dataset can be found in Appendix B of Beach (1998). More details regarding the receiver used and extraction tools can be found at: https://gps.ece.cornell.edu/tools.php Abdu, M. A., Batista, I. S., Reinisch, B. W., De Souza, J. R., Sobral, J. H. A., Pedersen, T. R., ... & Groves, K. M. (2009). Conjugate Point Equatorial Experiment (COPEX) campaign in Brazil: Electrodynamics highlights on spread F development conditions and day‐to‐day variability. Journal of Geophysical Research: Space Physics, 114(A4). Beach, T. L. (1998). Global Positioning System studies of equatorial scintillations. Cornell University. De Paula, E. R., Muella, M. T. A. H., Sobral, J. H. A., Abdu, M. A., Batista, I. S., Beach, T. L., & Groves, K. M. (2010). Magnetic conjugate point observations of kilometer and hundred‐meter scale irregularities and zonal drifts. Journal of Geophysical Research: Space Physics, 115(A8). Muella, M. T. A. H., De Paula, E. R., Kantor, I. J., Batista, I. S., Sobral, J. H. A., Abdu, M. A., ... & Smorigo, P. F. (2008). GPS L-band scintillations and ionospheric irregularity zonal drifts inferred at equatorial and low-latitude regions. Journal of Atmospheric and Solar-Terrestrial Physics, 70(10), 1261-1272.
description: GPS Data repository, part 2 of 3, acquired during the Conjugate Point Equatorial Experiment (COPEX) campaign in 2002. A campaign carried out by INPE (Instituto Nacional de Pesquisas Espaciais), Brazil. See also: DOI: 10.5281/zenodo.6514503 and 10.5281/zenodo.6514603
DOI: 10.5281/zenodo.6514343
title: GPS data for COPEX campaign carried out in 2002 in Brazil by INPE (Boa Vista Station)

description: This repository provides the GPS data acquired in Boa Vista station during the Conjugate Point Equatorial Experiment (COPEX) campaign in 2002. In the folders it can find the raw intensity data (FSL file) and also the summary files (SUM files), containing only with S4 index with time and satellite ID. More information about the campaign can be found in Muella et al. (2008), Abdu et al. (2009) and de Paula et al. (2010). Information about the data recording format and reading extraction procedure of this dataset can be found in Appendix B of Beach (1998). More details regarding the receiver used and extraction tools can be found at: https://gps.ece.cornell.edu/tools.php Abdu, M. A., Batista, I. S., Reinisch, B. W., De Souza, J. R., Sobral, J. H. A., Pedersen, T. R., ... & Groves, K. M. (2009). Conjugate Point Equatorial Experiment (COPEX) campaign in Brazil: Electrodynamics highlights on spread F development conditions and day‐to‐day variability. Journal of Geophysical Research: Space Physics, 114(A4). Beach, T. L. (1998). Global Positioning System studies of equatorial scintillations. Cornell University. De Paula, E. R., Muella, M. T. A. H., Sobral, J. H. A., Abdu, M. A., Batista, I. S., Beach, T. L., & Groves, K. M. (2010). Magnetic conjugate point observations of kilometer and hundred‐meter scale irregularities and zonal drifts. Journal of Geophysical Research: Space Physics, 115(A8). Muella, M. T. A. H., De Paula, E. R., Kantor, I. J., Batista, I. S., Sobral, J. H. A., Abdu, M. A., ... & Smorigo, P. F. (2008). GPS L-band scintillations and ionospheric irregularity zonal drifts inferred at equatorial and low-latitude regions. Journal of Atmospheric and Solar-Terrestrial Physics, 70(10), 1261-1272.
description: GPS Data repository, part 2 of 3, acquired during the Conjugate Point Equatorial Experiment (COPEX) campaign in 2002. A campaign carried out by INPE (Instituto Nacional de Pesquisas Espaciais), Brazil. See also: DOI: 10.5281/zenodo.6514503 and 10.5281/zenodo.6514603
DOI: 10.6084/m9.figshare.16816654.v5
title: TCGA cancer genomic data and pathway information

description: TCGA cancer genomic data (ESCA , PAAD and LUAD) and pathway information (GO-BP, GO-CC, GO-MF, KEEG, Biocarter)
DOI: 10.6084/m9.figshare.19709752
title: Data for "Integrated effects of bioturbation, warming and sea-level rise on mobility of sulfide and metalloids in estuarine mangrove wetlands"

description: Data for "Integrated effects of bioturbation, warming and sea-level rise on mobility of sulfide and metalloids in estuarine mangrove wetlands"
DOI: 10.6084/m9.figshare.19709752.v1
title: Data for "Integrated effects of bioturbation, warming and sea-level rise on mobility of sulfide and metalloids in estuarine mangrove wetlands"

description: Data for "Integrated effects of bioturbation, warming and sea-level rise on mobility of sulfide and metalloids in estuarine mangrove wetlands"
DOI: 10.5281/zenodo.6519337
title: dispersion curvers of southeastern Tibetan Plateau obtained by wave gradiometry and ambient noise cross correlation

description: azimuth-dependant dispersion curves: bk.gridID.deg.backazimuth.dsp T=5:20s obtained from ambient noise tomography<br> T=21:60s obtained from wave gradiometry<br> grid information: xyloc.txt
DOI: 10.5281/zenodo.6519336
title: dispersion curvers of southeastern Tibetan Plateau obtained by wave gradiometry and ambient noise cross correlation

description: azimuth-dependant dispersion curves: bk.gridID.deg.backazimuth.dsp T=5:20s obtained from ambient noise tomography<br> T=21:60s obtained from wave gradiometry<br> grid information: xyloc.txt
DOI: 10.5281/zenodo.6519350
title: Machine Learning class final project datasets

description: This is the zip file for the machine learning course final project. it has training and testing data sets.
DOI: 10.5281/zenodo.6519349
title: Machine Learning class final project datasets

description: This is the zip file for the machine learning course final project. it has training and testing data sets.
DOI: 10.5517/ccdc.csd.cc28hfrz
title: CCDC 2100211: Experimental Crystal Structure Determination

description: Related Article: Kanishka Sikligar, Steven P. Kelley, Gary A. Baker, Jerry L. Atwood|2022|Cryst.Growth Des.|22|2806|doi:10.1021/acs.cgd.2c00227
DOI: 10.5517/ccdc.csd.cc28hfs0
title: CCDC 2100212: Experimental Crystal Structure Determination

description: Related Article: Kanishka Sikligar, Steven P. Kelley, Gary A. Baker, Jerry L. Atwood|2022|Cryst.Growth Des.|22|2806|doi:10.1021/acs.cgd.2c00227
DOI: 10.5517/ccdc.csd.cc28wn3y
title: CCDC 2111940: Experimental Crystal Structure Determination

description: Related Article: Ming-Yue Ding, Hang Peng, Yu-Ling Zeng, Jun-Chao Liu, Xiao-Gang Chen|2022|Cryst.Growth Des.|22|2863|doi:10.1021/acs.cgd.1c01205
DOI: 10.5517/ccdc.csd.cc28wn50
title: CCDC 2111942: Experimental Crystal Structure Determination

description: Related Article: Ming-Yue Ding, Hang Peng, Yu-Ling Zeng, Jun-Chao Liu, Xiao-Gang Chen|2022|Cryst.Growth Des.|22|2863|doi:10.1021/acs.cgd.1c01205
DOI: 10.5517/ccdc.csd.cc28wn61
title: CCDC 2111943: Experimental Crystal Structure Determination

description: Related Article: Ming-Yue Ding, Hang Peng, Yu-Ling Zeng, Jun-Chao Liu, Xiao-Gang Chen|2022|Cryst.Growth Des.|22|2863|doi:10.1021/acs.cgd.1c01205
DOI: 10.5517/ccdc.csd.cc28wn72
title: CCDC 2111944: Experimental Crystal Structure Determination

description: Related Article: Ming-Yue Ding, Hang Peng, Yu-Ling Zeng, Jun-Chao Liu, Xiao-Gang Chen|2022|Cryst.Growth Des.|22|2863|doi:10.1021/acs.cgd.1c01205
DOI: 10.5517/ccdc.csd.cc295dxt
title: CCDC 2120366: Experimental Crystal Structure Determination

description: Related Article: Veronika Kovač, Ivan Kodrin, Kristina Radošević, Krešimir Molčanov, Bimalendu Adhikari, Heinz-Bernhard Kraatz, Lidija Barišić|2022|Organometallics|41|920|doi:10.1021/acs.organomet.1c00661
DOI: 10.5517/ccdc.csd.cc297ns0
title: CCDC 2122532: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297nt1
title: CCDC 2122533: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297nv2
title: CCDC 2122534: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297nw3
title: CCDC 2122535: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297nx4
title: CCDC 2122536: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297ny5
title: CCDC 2122537: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297nz6
title: CCDC 2122538: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc297p19
title: CCDC 2122540: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc2b6z0k
title: CCDC 2151648: Experimental Crystal Structure Determination

description: Related Article: Ming-Yue Ding, Hang Peng, Yu-Ling Zeng, Jun-Chao Liu, Xiao-Gang Chen|2022|Cryst.Growth Des.|22|2863|doi:10.1021/acs.cgd.1c01205
DOI: 10.5517/ccdc.csd.cc297p08
title: CCDC 2122539: Experimental Crystal Structure Determination

description: Related Article: Pratap Vishnoi, Julia L. Zuo, Xiaotong Li, Devesh Chandra Binwal, Kira E. Wyckoff, Lingling Mao, Linus Kautzsch, Guang Wu, Stephen D. Wilson, Mercouri G. Kanatzidis, Ram Seshadri, Anthony K. Cheetham|2022|J.Am.Chem.Soc.|144|6661|doi:10.1021/jacs.1c12760
DOI: 10.5517/ccdc.csd.cc29lqj5
title: CCDC 2133157: Experimental Crystal Structure Determination

description: Related Article: Erick Nuñez Bahena, Brian O. Patrick, Laurel L. Schafer|2022|Organometallics|41|907|doi:10.1021/acs.organomet.2c00057
DOI: 10.5517/ccdc.csd.cc29lqk6
title: CCDC 2133158: Experimental Crystal Structure Determination

description: Related Article: Erick Nuñez Bahena, Brian O. Patrick, Laurel L. Schafer|2022|Organometallics|41|907|doi:10.1021/acs.organomet.2c00057
DOI: 10.6084/m9.figshare.19709878
title: Transcriptome assembly of Cnidium monnieri

description: Transcriptome assembly of Cnidium monnieri using the raw data in NCBI (SRR9899527). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.19709878.v1
title: Transcriptome assembly of Cnidium monnieri

description: Transcriptome assembly of Cnidium monnieri using the raw data in NCBI (SRR9899527). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.19709881
title: Transcriptome assembly of Pastinaca sativa

description: Transcriptome assembly of Pastinaca sativa using the raw data in NCBI (PRJEB43865). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.19709881.v1
title: Transcriptome assembly of Pastinaca sativa

description: Transcriptome assembly of Pastinaca sativa using the raw data in NCBI (PRJEB43865). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.19709884
title: Transcriptome assembly of Angelica decursiva

description: Transcriptome assembly of <em>Angelica decursiva</em> using the raw data in NCBI (PRJNA360870). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.19709884.v1
title: Transcriptome assembly of Angelica decursiva

description: Transcriptome assembly of <em>Angelica decursiva</em> using the raw data in NCBI (PRJNA360870). We using Trimmomatic v0.39 to filter the raw sequences (LEADING:20, TRAILING:20, SLIDINGWINDOW:4:20 MINLEN:50). And then, using RiboDetector v0.2.4 to remove rRNA sequences. After that, we<em> de novo</em> assembly the sequences using Trinity v2.13.2 software with k-mer 31, min_kmer_cov 2.
DOI: 10.6084/m9.figshare.16780957
title: Raw Data for 'Oyster larvae swim along gradients of sound'

description: Raw data and supplementary material for manuscript 'Oyster larvae swim along gradients of sound' in Journal of Applied Ecology. The raw data contains settlement counts for our soundscape gradient and preference experiments, field experiment, as well as the soundscape playback recordings, and in-situ recordings, used in these experiments. The supplementary material contains further information on our methods, playback parameterisation and results.
DOI: 10.6084/m9.figshare.16780957.v1
title: Raw Data for 'Oyster larvae swim along gradients of sound'

description: Raw data and supplementary material for manuscript 'Oyster larvae swim along gradients of sound' in Journal of Applied Ecology. The raw data contains settlement counts for our soundscape gradient and preference experiments, field experiment, as well as the soundscape playback recordings, and in-situ recordings, used in these experiments. The supplementary material contains further information on our methods, playback parameterisation and results.
DOI: 10.6084/m9.figshare.19709890
title: Barber et al Nature Protocols Source Data - Figure 5.xlsx

description: <strong>Figure 5</strong>: Increasing product formation with increased enzyme or substrate concentrations. The different sheets show results from using maltoheptaose in the α-amylase assay or sucrose, maltose and isomaltose as the substrate in each α-glucosidase assay. Data represent mean ± SD from a batch of samples of n = 3, with duplicate injections per sample, with R2 &gt; 0.9 for 0.280 U α-amylase and R2 &gt; 0.98 for all α-glucosidases.
DOI: 10.6084/m9.figshare.19709890.v1
title: Barber et al Nature Protocols Source Data - Figure 5.xlsx

description: <strong>Figure 5</strong>: Increasing product formation with increased enzyme or substrate concentrations. The different sheets show results from using maltoheptaose in the α-amylase assay or sucrose, maltose and isomaltose as the substrate in each α-glucosidase assay. Data represent mean ± SD from a batch of samples of n = 3, with duplicate injections per sample, with R2 &gt; 0.9 for 0.280 U α-amylase and R2 &gt; 0.98 for all α-glucosidases.
DOI: 10.6084/m9.figshare.19709740
title: Barber et al Nature Protocols Source Data - Figure 4.xlsx

description: <strong>Figure 4:</strong> Data for representative chromatograms showing efficient separation of the expected substrates and products of maltooligosaccharides in the α-amylase assay and low molecular weight sugars in the α-glucosidase assay, by HPAE-PAD ion chromatography (the mixture loaded onto the column contains 250 pmol of each standard; 2.5 µL of a 100 µM solution was injected). Maltopentaose (Mal-5), maltotetraose (Mal-4), maltotriose (Mal-3) and maltose are presented at a concentration of 100 µM each in phosphate buffered saline (PBS). Glucose (G), sucrose (S), fructose (F), isomaltose (I), and maltose (M) are all at a concentration of 10 µg/mL in sodium phosphate buffer (SPB).
DOI: 10.6084/m9.figshare.19709740.v1
title: Barber et al Nature Protocols Source Data - Figure 4.xlsx

description: <strong>Figure 4:</strong> Data for representative chromatograms showing efficient separation of the expected substrates and products of maltooligosaccharides in the α-amylase assay and low molecular weight sugars in the α-glucosidase assay, by HPAE-PAD ion chromatography (the mixture loaded onto the column contains 250 pmol of each standard; 2.5 µL of a 100 µM solution was injected). Maltopentaose (Mal-5), maltotetraose (Mal-4), maltotriose (Mal-3) and maltose are presented at a concentration of 100 µM each in phosphate buffered saline (PBS). Glucose (G), sucrose (S), fructose (F), isomaltose (I), and maltose (M) are all at a concentration of 10 µg/mL in sodium phosphate buffer (SPB).
DOI: 10.6084/m9.figshare.19709896
title: Barber et al Nature Protocols Source Data - Figure 6.xlsx

description: <strong>Figure 6</strong>: Acarbose inhibition of enzyme activity. Inhibition by acarbose is demonstrated for human α-amylase using maltoheptaose (Mal-7), and sucrase, maltase and isomaltase activities, using sucrose, maltose and isomaltose, respectively. Sucrase-isomaltase was extracted from cultured human enterocytes for assessment of α-glucosidase activities. Data in sheet 6E show acarbose IC50 values may be affected by substrate concentrations, therefore assay optimisation is necessary. Data represent mean ± SD from a batch of samples of n = 3, with duplicate injections per sample, with R2 ≥ 0.99.
DOI: 10.6084/m9.figshare.19709896.v1
title: Barber et al Nature Protocols Source Data - Figure 6.xlsx

description: <strong>Figure 6</strong>: Acarbose inhibition of enzyme activity. Inhibition by acarbose is demonstrated for human α-amylase using maltoheptaose (Mal-7), and sucrase, maltase and isomaltase activities, using sucrose, maltose and isomaltose, respectively. Sucrase-isomaltase was extracted from cultured human enterocytes for assessment of α-glucosidase activities. Data in sheet 6E show acarbose IC50 values may be affected by substrate concentrations, therefore assay optimisation is necessary. Data represent mean ± SD from a batch of samples of n = 3, with duplicate injections per sample, with R2 ≥ 0.99.
DOI: 10.18120/4d02-6831
title: test-sub
DOI: 10.6084/m9.figshare.19709698.v1
title: Raw data2 OTUs of microorganism in sludge samples.xls

description: A total of 228762 OTUs of microorganism were obtained with an average of 8798 OTUs per sludge sample. The data were used to make relative abundance, PLS, RDA and KEGG analysis.
DOI: 10.6084/m9.figshare.19709698
title: Raw data2 OTUs of microorganism in sludge samples.xls

description: A total of 228762 OTUs of microorganism were obtained with an average of 8798 OTUs per sludge sample. The data were used to make relative abundance, PLS, RDA and KEGG analysis.
DOI: 10.6084/m9.figshare.19709710
title: Molecular Docking Analysis Repository

description: The present repository contains the results of all molecular docking analysis from the chickpea peptides analyzed in the study.
DOI: 10.6084/m9.figshare.19709710.v2
title: Molecular Docking Analysis Repository

description: The present repository contains the results of all molecular docking analysis from the chickpea peptides analyzed in the study.
DOI: 10.6084/m9.figshare.19709710.v1
title: Molecular Docking Analysis Repository

description: The present repository contains the results of all molecular docking analysis from the chickpea peptides analyzed in the study.
DOI: 10.6084/m9.figshare.19710343
title: Repository of molecular docking analysis from chickpea peptides

description: The present repository contains the results of all molecular docking analysis from the chickpea peptides analyzed in the study.
DOI: 10.6084/m9.figshare.19633404.v15
title: Code snippet suggestions for exploratory programming - User study

description: This dataset contains participant notebooks, scripts for analysis, study instruments and pilot study results.
DOI: 10.5281/zenodo.6519446
title: HybridFC dataset

description: This is the data for the factchecking approach
DOI: 10.34740/kaggle/dsv/3578782
title: BBC News
DOI: 10.6084/m9.figshare.19633404.v16
title: Code snippet suggestions for exploratory programming - User study

description: This dataset contains participant notebooks, scripts for analysis, study instruments and pilot study results.
DOI: 10.5281/zenodo.6517406
title: Supplementary Data for 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides'

description: This dataset contains supplementary data for the publication 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides. Data consist of various output-files of quantum chemical computations.
DOI: 10.5281/zenodo.6517405
title: Supplementary Data for 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides'

description: This dataset contains supplementary data for the publication 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides. Data consist of various output-files of quantum chemical computations.