cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4446098
title: Detailed abundances based on different nuclear physics for theoretical r-process scenarios

description: This data set contains detailed abundances (at a time t=10^6 years after the event) for individual trajectories for seven different simulations of potential r-process sites, and based on nine different combinations of nuclear mass models and fission fragment distribution models. The data have been used and are discussed in Cote, Eichler, Yagüe, et al. (https://ui.adsabs.harvard.edu/abs/2020arXiv200604833C/abstract) to determine the isotopic ratios of I129/Cm247 and compare them to meteoritic data. Furthermore, a code is included which samples a subset of trajectories reproducing the measured meteoritic I129/Cm247 abundance ratio of 438 +- 92. See the README file and the publication (https://ui.adsabs.harvard.edu/abs/2020arXiv200604833C/abstract) for more details.
description: {"references": ["Bovard, L., Martin, D., Guercilena, F., et al. 2017, PhRvD, 96, 124005", "Duflo, J., & Zuker, A. P. 1995, Phys. Rev. C, 52, R23", "Kelic, A., Ricciardi, M. V., & Schmidt, K.-H. 2008, Proceedings: Dynamical Aspects of Nuclear Fission, World Scientific, 6, p. 203", "Kodama, T. & Takahashi, K. 1975, NuPhA, 239, 489", "Korobkin, O., Rosswog, S., Arcones, A., & Winteler, C. 2012, MNRAS, 426, 1940", "Marketin, T., Huther, L., & Mart\u00ednez-Pinedo, G. 2016, Phys. Rev. C, 93, 025805", "M\u00f6ller, P., Pfeiffer, B., & Kratz, K.-L. 2003, Phys. Rev. C, 67, 055802", "Panov, I. V., Freiburghaus, C., & Thielemann, F.-K. 2001, Nucl. Phys. A, 688, 587", "Rosswog, S., Piran, T., & Nakar, E. 2013, MNRAS, 430, 2585", "Winteler, C., K\u00e4ppeli, R., Perego, A., et al. 2012, ApJL, 750, L22", "Wu, M.-R., Fern\u00e1ndez, R., Mart\u00ednez-Pinedo, G., & Metzger, B. D. 2016, MNRAS, 463, 2323"]}
DOI: 10.5281/zenodo.4439383
title: SuperWASP Variable Stars: Classifying Light Curves Using Citizen Science

description: Table of 301 previously unidentified SuperWASP stellar variables and related characteristics, not including rotators and unknown variables. The variable type has been decided by citizen scientists through the SuperWASP Variable Stars Zooniverse project. The types and periods of each object have been assessed by the authors to correct for mis-classifications; whilst they have been corrected as much as possible, some types periods remain best guesses. All periods have an uncertainty of 0.1%.
description: The SuperWASP Variable Stars project was developed with the help of the ASTERICS Horizon2020 project. This publication uses data generated via the Zooniverse.org platform, development of which is funded by generous support, including a Global Impact Award from Google, and by a grant from the Alfred P. Sloan Foundation. This work was supported by the Science and Technology Facilities Council [grant number ST/P006760/1] through the DISCnet Centre for Doctoral Training. The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen's University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the ING, the IAC, SAAO and STFC.
DOI: 10.5281/zenodo.4439382
title: SuperWASP Variable Stars: Classifying Light Curves Using Citizen Science

description: Table of 301 previously unidentified SuperWASP stellar variables and related characteristics, not including rotators and unknown variables. The variable type has been decided by citizen scientists through the SuperWASP Variable Stars Zooniverse project. The types and periods of each object have been assessed by the authors to correct for mis-classifications; whilst they have been corrected as much as possible, some types periods remain best guesses. All periods have an uncertainty of 0.1%.
description: The SuperWASP Variable Stars project was developed with the help of the ASTERICS Horizon2020 project. This publication uses data generated via the Zooniverse.org platform, development of which is funded by generous support, including a Global Impact Award from Google, and by a grant from the Alfred P. Sloan Foundation. This work was supported by the Science and Technology Facilities Council [grant number ST/P006760/1] through the DISCnet Centre for Doctoral Training. The SuperWASP project is currently funded and operated by Warwick University and Keele University, and was originally set up by Queen's University Belfast, the Universities of Keele, St. Andrews and Leicester, the Open University, the ING, the IAC, SAAO and STFC.
DOI: 10.5281/zenodo.4312297
title: The NANOGrav 12.5-year Narrowband Data Set (version 12yv4)

description: The NANOGrav 12.5-year narrowband data set (public release "12yv4") is the supplemental data set accompanying Alam et al. 2021, "The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars," 2021, Astrophysical Journal Supplements, 252, 4, DOI: 10.3847/1538-4365/abc6a0. It contains narrowband pulse times of arrival, one-dimensional pulse templates, pulsar timing models, timing residuals, and clock files. Details about the contents of these files are contained in NANOGrav_12yv4_narrowband/README, as well as in NANOGrav_12yv4_narrowband/narrowband/README.narrowband. The wideband version of this dataset (published in Alam et al. 2021, ApJS, 252, 5, DOI: 10.3847/1538-4365/abc6a1) can be found at Zenodo DOI: 10.5281/zenodo.4312887. Both the narrowband and wideband data sets are also available at data.nanograv.org. Analysis of the 12.5-year narrowband dataset will be published in Arzoumanian et al. 2021, "The NANOGrav 12.5-year Data Set: Search for an Isotropic Gravitational-Wave Background," accepted for publication in ApJ Letters, 2020arXiv200904496A.
description: This work was funded primarily by the National Science Foundation (NSF) Physics Frontiers Center award number 1430284. Other funding sources include the National Aeronautics and Space Administration (NASA), a Natural Sciences and Engineering Research Council of Canada Discovery Grant, the Canadian Institute for Advanced Research, the Hungarian Academy of Sciences, the Chinese Academy of Sciences (CAS) Pioneer Hundred Talents Program and the Strategic Priority Research Program of the CAS grant No. XDB23000000. The time-of-arrival data were collected using the Arecibo 305-meter and Green Bank 100-meter radio telescopes. The Arecibo Observatory is a facility of the NSF operated under cooperative agreement (#AST-1744119) by the University of Central Florida (UCF) in alliance with Universidad Ana G. Méndez (UAGM) and Yang Enterprises (YEI), Inc. The Green Bank Observatory is a facility of the NSF operated under cooperative agreement by Associated Universities, Inc.
description: {"references": ["M. F. Alam, Z. Arzoumanian, P. T. Baker, et al. 2021 (corresponding author M. E. DeCesar), \"The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars,\" Astrophysical Journal Supplements, 252, 4, DOI: 10.3847/1538-4365/abc6a0", "M. F. Alam, Z. Arzoumanian, P. T. Baker, et al. 2021 (corresponding author T. T. Pennucci), \"The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars,\" Astrophysical Journal Supplements, 252, 5, 10.3847/1538-4365/abc6a1", "Arzoumanian et al. 2021 (corresponding author J. Simon), \"The NANOGrav 12.5-year Data Set: Search for an Isotropic Gravitational-Wave Background,\" accepted for publication in the Astrophysical Journal Letters, 2020arXiv200904496A"]}
DOI: 10.5281/zenodo.4399109
title: Active Learning with RESSPECT: Data Set

description: This folder contains pre-processed simulated data first made available by Rick Kessler for the <br> Supernova Photometric Classification Challenge (SNPCC). All data were feature extracted using the Bazin parametric function. This version of the data set was used to obtain the results reported in Kennamer et al., 2020 - <em>Active learning with RESSPECT: resource allocation for extragalactic astronomical transients</em>. Published during the 2020 IEEE Symposium Series on Computational Intelligence. The code used to obtain the results shown in the paper is available in the COINtoolbox (github). <br> <br> This work was developed under the RESSPECT project, an inter-collaboration agreement established between the LSST Dark Energy Science Collaboration (LSST-DESC) and the Cosmostatistics Initiative (COIN) in order to develop an active learning pipeline to advise the allocation of telescope resources.
description: The Cosmostatistics Initiative was supported by the French government via a CNRS-MOMENTUM grant from 2018-2020 under the project: Active Learning for Large Scale Sky Surveys.
DOI: 10.5281/zenodo.4312296
title: The NANOGrav 12.5-year Narrowband Data Set (version 12yv4)

description: The NANOGrav 12.5-year narrowband data set (public release "12yv4") is the supplemental data set accompanying Alam et al. 2021, "The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars," 2021, Astrophysical Journal Supplements, 252, 4, DOI: 10.3847/1538-4365/abc6a0. It contains narrowband pulse times of arrival, one-dimensional pulse templates, pulsar timing models, timing residuals, and clock files. Details about the contents of these files are contained in NANOGrav_12yv4_narrowband/README, as well as in NANOGrav_12yv4_narrowband/narrowband/README.narrowband. The wideband version of this dataset (published in Alam et al. 2021, ApJS, 252, 5, DOI: 10.3847/1538-4365/abc6a1) can be found at Zenodo DOI: 10.5281/zenodo.4312887. Both the narrowband and wideband data sets are also available at data.nanograv.org. Analysis of the 12.5-year narrowband dataset will be published in Arzoumanian et al. 2021, "The NANOGrav 12.5-year Data Set: Search for an Isotropic Gravitational-Wave Background," accepted for publication in ApJ Letters, 2020arXiv200904496A.
description: This work was funded primarily by the National Science Foundation (NSF) Physics Frontiers Center award number 1430284. Other funding sources include the National Aeronautics and Space Administration (NASA), a Natural Sciences and Engineering Research Council of Canada Discovery Grant, the Canadian Institute for Advanced Research, the Hungarian Academy of Sciences, the Chinese Academy of Sciences (CAS) Pioneer Hundred Talents Program and the Strategic Priority Research Program of the CAS grant No. XDB23000000. The time-of-arrival data were collected using the Arecibo 305-meter and Green Bank 100-meter radio telescopes. The Arecibo Observatory is a facility of the NSF operated under cooperative agreement (#AST-1744119) by the University of Central Florida (UCF) in alliance with Universidad Ana G. Méndez (UAGM) and Yang Enterprises (YEI), Inc. The Green Bank Observatory is a facility of the NSF operated under cooperative agreement by Associated Universities, Inc.
description: {"references": ["M. F. Alam, Z. Arzoumanian, P. T. Baker, et al. 2021 (corresponding author M. E. DeCesar), \"The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars,\" Astrophysical Journal Supplements, 252, 4, DOI: 10.3847/1538-4365/abc6a0", "M. F. Alam, Z. Arzoumanian, P. T. Baker, et al. 2021 (corresponding author T. T. Pennucci), \"The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars,\" Astrophysical Journal Supplements, 252, 5, 10.3847/1538-4365/abc6a1", "Arzoumanian et al. 2021 (corresponding author J. Simon), \"The NANOGrav 12.5-year Data Set: Search for an Isotropic Gravitational-Wave Background,\" accepted for publication in the Astrophysical Journal Letters, 2020arXiv200904496A"]}
DOI: 10.5281/zenodo.4399108
title: Active Learning with RESSPECT: Data Set

description: This folder contains pre-processed simulated data first made available by Rick Kessler for the <br> Supernova Photometric Classification Challenge (SNPCC). All data were feature extracted using the Bazin parametric function. This version of the data set was used to obtain the results reported in Kennamer et al., 2020 - <em>Active learning with RESSPECT: resource allocation for extragalactic astronomical transients</em>. Published during the 2020 IEEE Symposium Series on Computational Intelligence. The code used to obtain the results shown in the paper is available in the COINtoolbox (github). <br> <br> This work was developed under the RESSPECT project, an inter-collaboration agreement established between the LSST Dark Energy Science Collaboration (LSST-DESC) and the Cosmostatistics Initiative (COIN) in order to develop an active learning pipeline to advise the allocation of telescope resources.
description: The Cosmostatistics Initiative was supported by the French government via a CNRS-MOMENTUM grant from 2018-2020 under the project: Active Learning for Large Scale Sky Surveys.
DOI: 10.5281/zenodo.4075042
title: Catalog of GAIA eDR3 sources within 20 arcsec of pulsars

description: Catalog of GAIA eDR3 sources within 20 arcsec of pulsars. Details on how the catalog was created can be found in Antoniadis (2021) The source code can be found here
description: {"references": ["ArXiv:2011.08075"]}
DOI: 10.5281/zenodo.4312886
title: The NANOGrav 12.5-year Wideband Data Set (version 12yv4)

description: The NANOGrav 12.5-year wideband data set (public release "12yv4") is the supplemental data set accompanying Alam et al. 2021, "The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars," The Astrophysical Journal Supplement Series, 252, 5, DOI 10.3847/1538-4365/abc6a1. It contains wideband pulse times of arrival, models describing frequency-dependent template profiles, pulsar timing models, timing residuals, and clock files. Details about the contents of these files are contained in NANOGrav_12yv4_wideband/README, as well as in NANOGrav_12yv4_wideband/wideband/README.wideband. The narrowband version of this dataset (published in Alam et al. 2021, ApJS, 252, 4, DOI: 10.3847/1538-4365/abc6a0) can be found at Zenodo DOI: 10.5281/zenodo.4312297. Both the narrowband and wideband data sets are also available at data.nanograv.org.
description: This work was funded primarily by the National Science Foundation (NSF) Physics Frontiers Center award number 1430284. Other funding sources include the National Aeronautics and Space Administration (NASA), a Natural Sciences and Engineering Research Council of Canada Discovery Grant, the Canadian Institute for Advanced Research, the Hungarian Academy of Sciences, the Chinese Academy of Sciences (CAS) Pioneer Hundred Talents Program and the Strategic Priority Research Program of the CAS grant No. XDB23000000. The time-of-arrival data were collected using the Arecibo 305-meter and Green Bank 100-meter radio telescopes. The Arecibo Observatory is a facility of the NSF operated under cooperative agreement (#AST-1744119) by the University of Central Florida (UCF) in alliance with Universidad Ana G. Méndez (UAGM) and Yang Enterprises (YEI), Inc. The Green Bank Observatory is a facility of the NSF operated under cooperative agreement by Associated Universities, Inc.
description: {"references": ["Alam, M. F., et al. 2020 (corr. author T. T. Pennucci), \" The NANOGrav 12.5-year Data Set: Wideband Timing of 47 Millisecond Pulsars\", arXiv:2005.06495"]}
DOI: 10.5281/zenodo.4075041
title: Catalog of GAIA eDR3 sources within 20 arcsec of pulsars

description: Catalog of GAIA eDR3 sources within 20 arcsec of pulsars. Details on how the catalog was created can be found in Antoniadis (2021) The source code can be found here
description: {"references": ["ArXiv:2011.08075"]}
DOI: 10.5281/zenodo.4279623
title: The ALeRCE Light Curve Classifier: labeled set, features, and classifications

description: Labeled set, features, and classifications of the ZTF alert stream (up to 2020/06/09) presented in the article "Alert Classification for the ALeRCE Broker System: The Light Curve Classifier", Sánchez-Sáez et al., accepted for publication in the Astronomical Journal. The labeled set is used by the ALeRCE broker (alerce.science) to provide updated classifications for sources with new ZTF alerts every day. To obtain updated classifications visit alerce.online. In addition, more examples and instructions on how to use the ALeRCE database and classifications can be found on the alerce.science website. File description: "labeled_set_lc_classifier_SanchezSaez_2020.csv" contains the labeled set described in Section 2.2 of the paper. "features_for_lc_classifier_20200609.csv" contains the features computed for the unlabeled ZTF set (up to 2020/06/09). The features are described in Section 3, and Appendix A of the paper. "ALeRCE_lc_classifier_outputs_ZTF_unlabeled_set_20200609.csv" contains the probabilities obtained for each level of the model, as well as the final predictions and probabilities (up to 2020/06/09). For more details about the model see Sections 4.1 and 5.3.
DOI: 10.5281/zenodo.4279622
title: The ALeRCE Light Curve Classifier: labeled set, features, and classifications

description: Labeled set, features, and classifications of the ZTF alert stream (up to 2020/06/09) presented in the article "Alert Classification for the ALeRCE Broker System: The Light Curve Classifier", Sánchez-Sáez et al., accepted for publication in the Astronomical Journal. The labeled set is used by the ALeRCE broker (alerce.science) to provide updated classifications for sources with new ZTF alerts every day. To obtain updated classifications visit alerce.online. In addition, more examples and instructions on how to use the ALeRCE database and classifications can be found on the alerce.science website. File description: "labeled_set_lc_classifier_SanchezSaez_2020.csv" contains the labeled set described in Section 2.2 of the paper. "features_for_lc_classifier_20200609.csv" contains the features computed for the unlabeled ZTF set (up to 2020/06/09). The features are described in Section 3, and Appendix A of the paper. "ALeRCE_lc_classifier_outputs_ZTF_unlabeled_set_20200609.csv" contains the probabilities obtained for each level of the model, as well as the final predictions and probabilities (up to 2020/06/09). For more details about the model see Sections 4.1 and 5.3.
DOI: 10.5281/zenodo.4273993
title: HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cube that preserves uncertainties

description: This dataset is used for our framework HiSS-Cube, available at GitHub. It includes the data folder, the generated HDF5 file (SDSS_cube_gzip.h5) and a contiguous stream export in FITS that can be visualized for example in TOPCAT (SDSS_cutout_export.fits). The data folder contains spectra and images from the SDSS DR14. The documentation for these can be found on the Frame and Spectra pages, respectively. The SDSS_cube_gzip.h5 file contains a copy of the data ingested from the data folder optimized for both visualization and stream-lined contiguous access required for example by machine learning algorithms. The purpose is to visualize or run machine learning on combined spectra and images. The SDSS_cube_export.fits contains joined spectra with their respective image cutouts flattened to a table where every row represents one image pixel or spectral "pixel". To visualize these in TOPCAT, choose the 3D Cube plot and RA for X axis, Dec for Z axis and Wavelength or Time for Y axis. Go to the Form tab and choose the "aux" where you can enter either the Mean or Sigma axis as auxiliary.
DOI: 10.6084/m9.figshare.14061458
title: Dataset.xlsx

description: <b>The Dataset for the manuscript under a title of: </b><b>Effect of photobiomodulation therapy on trunk flexor performance after incisional hernia repair: a randomized controlled trial </b>
DOI: 10.5281/zenodo.4273992
title: HiSS-Cube: A scalable framework for Hierarchical Semi-Sparse Cube that preserves uncertainties

description: This dataset is used for our framework HiSS-Cube, available at GitHub. It includes the data folder, the generated HDF5 file (SDSS_cube_gzip.h5) and a contiguous stream export in FITS that can be visualized for example in TOPCAT (SDSS_cutout_export.fits). The data folder contains spectra and images from the SDSS DR14. The documentation for these can be found on the Frame and Spectra pages, respectively. The SDSS_cube_gzip.h5 file contains a copy of the data ingested from the data folder optimized for both visualization and stream-lined contiguous access required for example by machine learning algorithms. The purpose is to visualize or run machine learning on combined spectra and images. The SDSS_cube_export.fits contains joined spectra with their respective image cutouts flattened to a table where every row represents one image pixel or spectral "pixel". To visualize these in TOPCAT, choose the 3D Cube plot and RA for X axis, Dec for Z axis and Wavelength or Time for Y axis. Go to the Form tab and choose the "aux" where you can enter either the Mean or Sigma axis as auxiliary.
DOI: 10.6084/m9.figshare.14061458.v2
title: Dataset.xlsx

description: <b>The Dataset for the manuscript under a title of: </b><b>Effect of photobiomodulation therapy on trunk flexor performance after incisional hernia repair: a randomized controlled trial </b>
DOI: 10.6084/m9.figshare.14061458.v1
title: Dataset.xlsx

description: <b>The Dataset for the manuscript under a title of: </b><b>Effect of photobiomodulation therapy on trunk flexor performance after incisional hernia repair: a randomized controlled trial </b>
DOI: 10.5281/zenodo.4044453
title: Supporting data and scripts for Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al.

description: This data set contains scripts and data used to analyze the observations described in Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al. 2020. The scripts used to create the plots therein also included.
DOI: 10.5281/zenodo.4044452
title: Supporting data and scripts for Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al.

description: This data set contains scripts and data used to analyze the observations described in Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al. 2020. The scripts used to create the plots therein also included.
DOI: 10.5281/zenodo.4099730
title: DEIMOS Spectroscopic observations of MS0451-03

description: The tar file contains extracted spectroscopic observations of galaxies in the field of MS 0451-03 galaxy cluster. The observations were obtained with the DEIMOS instrument on the Keck Observatory. Details of the observations are given in Crawford et al., 2011, ApJ, 741, 98, DOI: 10.1088/0004-637X/741/2/98. The catalogs associated with that paper also have further information about these objects. The following files are included: 1. w05.m*-crawford.fits: A catalog for each of the masks. This catalog includes the information about the object in each slit as well as the measurement of the redshift. The 2. iraf.w05.m*.*.*.fits. These are 1-D extracted files in an iraf compatible format. The names of the files correspond to the mask, slit, and original id in the catalog used for selection. Unfortunately, due to an bug in the original extraction software, the primary target appears usually appears in the file named serendip1 and not the file with the object id.
description: {"references": ["Crawford et al., 2011, ApJ, 741, 98, DOI: 10.1088/0004-637X/741/2/98."]}