cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4099729
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."]}
DOI: 10.5281/zenodo.4116393
title: Quantifying tensions in cosmological parameters: Interpreting the DES evidence ratio (supplementary inference products)

description: These are the nested sampling inference products and input files that were used to compute results for arXiv:1902.04029 and arXiv:1903.06682 An example plotting script and plots from the papers are included to demonstrate usage. Filename conventions: runs_default: default prior widths runs_narrow: narrowest prior widths runs_medium: intermediate prior widths planck: Planck 2018 baseline likelihoods SH0ES: Riess et al 2018 Hubble likelihood BAO: BOSS DR12 baryonic acoustic oscillations + redshift space distortion likelihood DES: Dark Energy Survey Y1 baseline Software used: CosmoChord https://github.com/williamjameshandley/CosmoChord/tree/e2f7020bd9d4254230097037fb6ebaee95a3d558
DOI: 10.5281/zenodo.4116392
title: Quantifying tensions in cosmological parameters: Interpreting the DES evidence ratio (supplementary inference products)

description: These are the nested sampling inference products and input files that were used to compute results for arXiv:1902.04029 and arXiv:1903.06682 An example plotting script and plots from the papers are included to demonstrate usage. Filename conventions: runs_default: default prior widths runs_narrow: narrowest prior widths runs_medium: intermediate prior widths planck: Planck 2018 baseline likelihoods SH0ES: Riess et al 2018 Hubble likelihood BAO: BOSS DR12 baryonic acoustic oscillations + redshift space distortion likelihood DES: Dark Energy Survey Y1 baseline Software used: CosmoChord https://github.com/williamjameshandley/CosmoChord/tree/e2f7020bd9d4254230097037fb6ebaee95a3d558
DOI: 10.5281/zenodo.4072249
title: WUVARS variability JHK data, cleaned

description: Variability data (JHK bands) of several star-forming regions, cleaned by Tom Rice's custom data reduction software.
DOI: 10.5281/zenodo.4018690
title: On the Relationship between Refactoring Actions and Bugs: A Differentiated Replication -- Replication Package

description: This dataset contains working data sets and analysis scripts for the paper "On the Relationship between Refactorings and Bugs: A Differentiated Replication" by Massimiliano Di Penta, Gabriele Bavota, and Fiorella Zampetti, published at the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020).
DOI: 10.5281/zenodo.4012781
title: Sunyaev-Zeldovich Effect Tomography: Processed Planck Maps and Masks

description: This package contains two sets of products constructed and used in the Sunyaev-Zeldovich Effect Tomography project by Yi-Kuan Chiang, Ryu Makiya, Brice Ménard, and Eiichiro Komatsu. <br> The first directory is a set of full-sky Planck HFI channel intensity maps from 100 to 353 GHz (Planck Collaboration 2016). We post-processed the maps to remove CMB fluctuations using that constructed in Bobin et al. (2016). The maps are stored using the HEALPix (Górski et al. 2005) scheme with the ring ordering of N_side = 2048. The map unit is MJy/sr. <br> The second directory is a set of masks, including a 60% Galactic mask, a joint Planck point source mask, and a joint SDSS footprint and veto mask. The masks are in ring ordered HEALPix format of N_side = 2048. <br> If you make use of these products, please cite the following papers: Chiang, Makiya, Ménard, & Komatsu, 2020, arXiv:2006.14650<br> Chiang, Makiya, Komatsu, & Ménard, 2020, arXiv:2007.01679<br>
DOI: 10.5281/zenodo.4012780
title: Sunyaev-Zeldovich Effect Tomography: Processed Planck Maps and Masks

description: This package contains two sets of products constructed and used in the Sunyaev-Zeldovich Effect Tomography project by Yi-Kuan Chiang, Ryu Makiya, Brice Ménard, and Eiichiro Komatsu. <br> The first directory is a set of full-sky Planck HFI channel intensity maps from 100 to 353 GHz (Planck Collaboration 2016). We post-processed the maps to remove CMB fluctuations using that constructed in Bobin et al. (2016). The maps are stored using the HEALPix (Górski et al. 2005) scheme with the ring ordering of N_side = 2048. The map unit is MJy/sr. <br> The second directory is a set of masks, including a 60% Galactic mask, a joint Planck point source mask, and a joint SDSS footprint and veto mask. The masks are in ring ordered HEALPix format of N_side = 2048. <br> If you make use of these products, please cite the following papers: Chiang, Makiya, Ménard, & Komatsu, 2020, arXiv:2006.14650<br> Chiang, Makiya, Komatsu, & Ménard, 2020, arXiv:2007.01679<br>
DOI: 10.5281/zenodo.3981028
title: The dust-corrected Ha luminosity of star-forming galaxies explored with MaNGA

description: Data tables for MaNGA global results from Vale Asari et al. 2020 (arXiv:2007.05544).
DOI: 10.5281/zenodo.3607908
title: NuSTAR and Swift spectra of 4U 1901+03 during its 2019 outburst

description: NuSTAR spectra covering 3.0-79.0 keV and Swift spectra covering 0.5-10.0 keV of 4U 1901+03 during its 2019 outburst. There are two folders - NuSTAR and Swift. Within the NuSTAR folder, there is a folder for each epoch of observations. Within each of these, the data, plots for each model tested, and subfolder with cornerplot and MultiNest files are included. Within the Swift folder, there are 2 subfolders - the data, and the results. Within each, there are subfolders for each epoch of Swift data. The results folders include corner plots, model and residual plots, and the output files from MultiNest.
DOI: 10.5281/zenodo.3972378
title: Raw MPIA/1DNLTE Synthetic Spectra

description: This dataset comprises the raw high-resolution MPIA/1DNLTE synthetic spectra (using MAFAGS-OS model atmospheres), created with the online tool nlte.mpia.de/, for the purpose of predicting parameters for Gaia-ESO Survey FLAMES-UVES spectra. The NLTE corrections were made for H, O, Mg, Si, Ca, Ti, Cr, Mn, Fe, and Co. The wavelength range is 4830-5400A, and the parameter range is as follows: 4600K ≤ <strong>T<sub>eff</sub></strong> ≤ 8800K, step size 200K 1.0 ≤ <strong>log<em>g</em></strong> ≤ 5.0, step size 0.2 dex -4.8 ≤ <strong>[Fe/H]</strong> ≤ 0.9, step size 0.3 dex -0.25 ≤ <strong>[α/Fe]</strong> ≤ 0.5, step size 0.25 dex (α elements considered<strong>: </strong>O, Ne, Mg, Si, S, Ar, Ca, and T) 1 km/s ≤ <strong>v<sub>micro</sub></strong> ≤ 2 km/s, step size 1 km/s
DOI: 10.5281/zenodo.3981027
title: The dust-corrected Ha luminosity of star-forming galaxies explored with MaNGA

description: Data tables for MaNGA global results from Vale Asari et al. 2020 (arXiv:2007.05544).
DOI: 10.5281/zenodo.3607907
title: NuSTAR and Swift spectra of 4U 1901+03 during its 2019 outburst

description: NuSTAR spectra covering 3.0-79.0 keV and Swift spectra covering 0.5-10.0 keV of 4U 1901+03 during its 2019 outburst. There are two folders - NuSTAR and Swift. Within the NuSTAR folder, there is a folder for each epoch of observations. Within each of these, the data, plots for each model tested, and subfolder with cornerplot and MultiNest files are included. Within the Swift folder, there are 2 subfolders - the data, and the results. Within each, there are subfolders for each epoch of Swift data. The results folders include corner plots, model and residual plots, and the output files from MultiNest.
DOI: 10.5281/zenodo.3972377
title: Raw MPIA/1DNLTE Synthetic Spectra

description: This dataset comprises the raw high-resolution MPIA/1DNLTE synthetic spectra (using MAFAGS-OS model atmospheres), created with the online tool nlte.mpia.de/, for the purpose of predicting parameters for Gaia-ESO Survey FLAMES-UVES spectra. The NLTE corrections were made for H, O, Mg, Si, Ca, Ti, Cr, Mn, Fe, and Co. The wavelength range is 4830-5400A, and the parameter range is as follows: 4600K ≤ <strong>T<sub>eff</sub></strong> ≤ 8800K, step size 200K 1.0 ≤ <strong>log<em>g</em></strong> ≤ 5.0, step size 0.2 dex -4.8 ≤ <strong>[Fe/H]</strong> ≤ 0.9, step size 0.3 dex -0.25 ≤ <strong>[α/Fe]</strong> ≤ 0.5, step size 0.25 dex (α elements considered<strong>: </strong>O, Ne, Mg, Si, S, Ar, Ca, and T) 1 km/s ≤ <strong>v<sub>micro</sub></strong> ≤ 2 km/s, step size 1 km/s
DOI: 10.5281/zenodo.3928133
title: The simulated dataset associated with the paper "Mesoscale modelling of optical turbulence in the atmosphere: The need for ultrahigh vertical grid resolution"

description: The WRF model-generated meteorological profiles are available in netcdf format. More information will be provided shortly.
DOI: 10.5281/zenodo.3908291
title: UV and X-ray observations of the neutron star LMXB EXO 0748-676 in its quiescent state

description: Data used in the manuscript "UV and X-ray observations of the neutron star LMXB EXO 0748-676 in its quiescent state" submitted to MNRAS
DOI: 10.5281/zenodo.3928132
title: The simulated dataset associated with the paper "Mesoscale modelling of optical turbulence in the atmosphere: The need for ultrahigh vertical grid resolution"

description: The WRF model-generated meteorological profiles are available in netcdf format. More information will be provided shortly.
DOI: 10.5281/zenodo.3908290
title: UV and X-ray observations of the neutron star LMXB EXO 0748-676 in its quiescent state

description: Data used in the manuscript "UV and X-ray observations of the neutron star LMXB EXO 0748-676 in its quiescent state" submitted to MNRAS
DOI: 10.5281/zenodo.3900980
title: Survey for Pulsars and Extragalactic Radio Bursts V Dataset

description: This dataset contains the the polarization-calibration profiles, ephemerides, and ToA files for the pulsars included in the SUPERB V project and associated article. Raw data are not included in this repository due to the large file sizes; data can be retrieved from the CSIRO Data Access Portal.
DOI: 10.5281/zenodo.3894748
title: Optical light curve of PSR J2215+5135

description: These files are the reduced light curves of PSR J2215+5135, reduced using the ULTRACAM pipeline (Dhillon, V., et al., 2007, MNRAS, 378, 825). The files are split up into the three different observing filters (SDSS g', r', and i') and between the two nights of observations (2014-08-11 and 2014-09-01). The columns are : MJD, Orbital Phase, Flux, Flux Error.
DOI: 10.5281/zenodo.3900979
title: Survey for Pulsars and Extragalactic Radio Bursts V Dataset

description: This dataset contains the the polarization-calibration profiles, ephemerides, and ToA files for the pulsars included in the SUPERB V project and associated article. Raw data are not included in this repository due to the large file sizes; data can be retrieved from the CSIRO Data Access Portal.
DOI: 10.5281/zenodo.3894747
title: Optical light curve of PSR J2215+5135

description: These files are the reduced light curves of PSR J2215+5135, reduced using the ULTRACAM pipeline (Dhillon, V., et al., 2007, MNRAS, 378, 825). The files are split up into the three different observing filters (SDSS g', r', and i') and between the two nights of observations (2014-08-11 and 2014-09-01). The columns are : MJD, Orbital Phase, Flux, Flux Error.
DOI: 10.5281/zenodo.3832098
title: Lyman-alpha Transmission Curves

description: We provide a large set of Lyman-alpha transmission curves around star-forming halos above \(5\cdot 10^9 \textrm{M}_\odot\)in the IllustrisTNG100 simulation at redshifts 0.0, 1.0, 2.0, 3.0, 4.0 and 5.0. The transmission curves are provided as optical depth \(\tau\) as a function of injected wavelength offset \(\Delta\lambda = \lambda - \lambda_\mathrm{Lya}\)evaluated at the source's systemic redshift with integration starting at \(r=1.5\cdot r_\mathrm{vir}\) We provide the transmission curves along 6 lines of sight roughly aligned with the basis vectors of the Cartesian coordinate system. Further information is made available in a referencing publication that will be linked here. The catalog itself is provided as hdf5 file with the following structure: On the base level, the data set "los_vectors" contains the direction vectors of the 6 lines of sight and the data set "dlambda_bins" provides the wavelength offsets which we evaluate the optical depths at. Most importantly, the transmission curves are provided in the group "tau" in which we provide separate data sets for each simulated redshift. These data sets are three dimensional with the first dimension indexing the line of sight, the second dimension the wavelength bin and the third dimension the targeted halo. For further study, we also provide the IllustrisTNG100 halo identifiers in the group "haloIDs", which again are provided as separate data set for each redshift. Note that an extended data set is available upon request, with 1000 lines of sight per emitter drawn from an equally spaced Fibonacci sphere, which could not be provided here due to the file size.
DOI: 10.5281/zenodo.3832097
title: Lyman-alpha Transmission Curves

description: We provide a large set of Lyman-alpha transmission curves around star-forming halos above \(5\cdot 10^9 \textrm{M}_\odot\)in the IllustrisTNG100 simulation at redshifts 0.0, 1.0, 2.0, 3.0, 4.0 and 5.0. The transmission curves are provided as optical depth \(\tau\) as a function of injected wavelength offset \(\Delta\lambda = \lambda - \lambda_\mathrm{Lya}\)evaluated at the source's systemic redshift with integration starting at \(r=1.5\cdot r_\mathrm{vir}\) We provide the transmission curves along 6 lines of sight roughly aligned with the basis vectors of the Cartesian coordinate system. Further information is made available in a referencing publication that will be linked here. The catalog itself is provided as hdf5 file with the following structure: On the base level, the data set "los_vectors" contains the direction vectors of the 6 lines of sight and the data set "dlambda_bins" provides the wavelength offsets which we evaluate the optical depths at. Most importantly, the transmission curves are provided in the group "tau" in which we provide separate data sets for each simulated redshift. These data sets are three dimensional with the first dimension indexing the line of sight, the second dimension the wavelength bin and the third dimension the targeted halo. For further study, we also provide the IllustrisTNG100 halo identifiers in the group "haloIDs", which again are provided as separate data set for each redshift. Note that an extended data set is available upon request, with 1000 lines of sight per emitter drawn from an equally spaced Fibonacci sphere, which could not be provided here due to the file size.
DOI: 10.5281/zenodo.4148888
title: RDF Reification Benchmark (REF) using the Biomedical Knowledge Repository (BKR)

description: This resource can be used for benchmarking different RDF modelling solutions for statement-level metadata, namely: - RDF Reification, - Singleton Property, - RDF* (RDF-star). More details about this resource can be found in the following publication: Fabrizio Orlandi, Damien Graux, Declan O'Sullivan, "Benchmarking RDF Metadata Representations: Reification, Singleton Property and RDF*", <em>15th IEEE International Conference on Semantic Computing (ICSC)</em>, 2021. Pre-print available at: http://fabriziorlandi.net/pdf/2021/ICSC2021_REF-Benchmark.pdf The dataset contains 3 different versions of the Biomedical Knowledge Repository (BKR) knowledge graph, as described in: Vinh Nguyen, Olivier Bodenreider, Amit Sheth. "Don't Like RDF Reification? Making Statements About Statements Using Singleton Property" WWW 2014, doi: 10.1145/2566486.2567973. and, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit Sheth and Krishnaprasad Thirunarayan. "Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data" in Sci Stat Database Manag. 2010; 6187: 461–470. doi: 10.1007/978-3-642-13818-8_32 The 3 knowledge graphs dumps are packaged as Gzipped RDF files in Turtle (and Turtle*) syntax. BKR-R-fullKGdump.ttl.gz for the Reification method, BKR-S-fullKGdump.ttl.gz for the Singleton method, BKR-star-fullKGdump.ttls.gz for the RDF* (RDF-star) method. The RDF REiFication Benchmark (REF) includes also a set of SPARQL (and SPARQL*) queries that can be used to compare the performance of different triplestores. Details about the SPARQL queries, and the queries themselves, are included in the "REF-Benchmark.tar.gz" archive. The queries are named after the dataset they are designed for (BKR-R or BKR-S or BKR-star), plus they include a letter identifying the query set, and a query number. E.g. the query in the file "BKR-R_F-Q3.rq" is for the BKR-R (standard reification) dataset, it is part of the query set "F" and it is the number 3 of that set "F". Hence, the same query, but translated for the RDF* dataset in SPARQL* syntax, is contained in "BKR-star_F-Q3.rq". Sets "A" and "B" are derived from the queries introduced by V. Nguyen et al. in: "Don't Like RDF Reification? Making Statements About Statements Using Singleton Property" WWW 2014, doi: 10.1145/2566486.2567973. Set "F" has been designed more with RDF* in mind as part of this benchmark (see [Orlandi et al., ICSC 2021])
DOI: 10.5281/zenodo.3894745
title: RDF Reification Benchmark (REF) using the Biomedical Knowledge Repository (BKR)

description: This resource can be used for benchmarking different RDF modelling solutions for statement-level metadata, namely: - RDF Reification, - Singleton Property, - RDF* (RDF-star). More details about this resource can be found in the following publication: Fabrizio Orlandi, Damien Graux, Declan O'Sullivan, "Benchmarking RDF Metadata Representations: Reification, Singleton Property and RDF*", <em>15th IEEE International Conference on Semantic Computing (ICSC)</em>, 2021. Pre-print available at: http://fabriziorlandi.net/pdf/2021/ICSC2021_REF-Benchmark.pdf The dataset contains 3 different versions of the Biomedical Knowledge Repository (BKR) knowledge graph, as described in: Vinh Nguyen, Olivier Bodenreider, Amit Sheth. "Don't Like RDF Reification? Making Statements About Statements Using Singleton Property" WWW 2014, doi: 10.1145/2566486.2567973. and, Satya S. Sahoo, Olivier Bodenreider, Pascal Hitzler, Amit Sheth and Krishnaprasad Thirunarayan. "Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data" in Sci Stat Database Manag. 2010; 6187: 461–470. doi: 10.1007/978-3-642-13818-8_32 The 3 knowledge graphs dumps are packaged as Gzipped RDF files in Turtle (and Turtle*) syntax. BKR-R-fullKGdump.ttl.gz for the Reification method, BKR-S-fullKGdump.ttl.gz for the Singleton method, BKR-star-fullKGdump.ttls.gz for the RDF* (RDF-star) method. The RDF REiFication Benchmark (REF) includes also a set of SPARQL (and SPARQL*) queries that can be used to compare the performance of different triplestores. Details about the SPARQL queries, and the queries themselves, are included in the "REF-Benchmark.tar.gz" archive. The queries are named after the dataset they are designed for (BKR-R or BKR-S or BKR-star), plus they include a letter identifying the query set, and a query number. E.g. the query in the file "BKR-R_F-Q3.rq" is for the BKR-R (standard reification) dataset, it is part of the query set "F" and it is the number 3 of that set "F". Hence, the same query, but translated for the RDF* dataset in SPARQL* syntax, is contained in "BKR-star_F-Q3.rq". Sets "A" and "B" are derived from the queries introduced by V. Nguyen et al. in: "Don't Like RDF Reification? Making Statements About Statements Using Singleton Property" WWW 2014, doi: 10.1145/2566486.2567973. Set "F" has been designed more with RDF* in mind as part of this benchmark (see [Orlandi et al., ICSC 2021])
DOI: 10.5281/zenodo.3369188
title: A Detailed View of the Circumstellar Environment and Disk of the Forming O-star AFGL 4176 - Online Data

description: These data accompany the ApJ paper Johnston et al. (2020), "A Detailed View of the Circumstellar Environment and Disk of the Forming O-star AFGL 4176" ArXiv link: https://arxiv.org/abs/2004.13739 Abstract: We present a detailed analysis of the disk and circumstellar environment of the forming O-type star AFGL 4176 mm1, placing results from the Atacama Large Millimeter/submillimeter Array (ALMA) into context with multiwavelength data. With ALMA, we detect seventeen 1.2 mm continuum sources within 5" (21,000 au) of AFGL 4176 mm1. We find that mm1 has a spectral index of 3.4±0.2 across the ALMA band, with &gt;87% of its 1.2 mm continuum emission from dust. The source mm2, projected 4200 au from mm1, may be a companion or a blueshifted knot in a jet. We also explore the morphological differences between the molecular lines detected with ALMA, finding 203 lines from 25 molecules, which we categorize into several morphological types. Our results show that AFGL 4176 mm1 provides an example of a forming O-star with a large and chemically complex disk, which is mainly traced by nitrogen-bearing molecules. Lines that show strong emission on the blueshifted side of the disk are predominantly oxygen-bearing, which we suggest are tracing a disk accretion shock. The molecules C^{34}S, H2CS and CH3CCN trace a slow wide-angle wind or dense structures in the outflow cavity walls. With the Australia Telescope Compact Array (ATCA), we detect a compact continuum source (&lt;2000 x 760 au) at 1.2 cm, associated with mm1, of which &gt;96% is from ionized gas. The ATCA NH3(1,1) and (2,2) emission traces a large-scale (r ~ 0.5 pc) rotating toroid with the disk source mm1 in the blueshifted part of this structure offset to the northwest. A list and short description of the files in this Zenodo dataset are given in the file README_Johnstonetal2020.txt.
description: {"references": ["Johnston et al. (2020). Dataset associated with arXiv:2004.13739."]}