cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26131/irsa330
title: Spitzer Wide-area InfraRed Extragalactic Survey CDFS MIPS 70 micron Catalog

description: The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.26131/irsa138
title: WISE All-Sky Atlas Metadata Table

description: NASA's Wide-field Infrared Survey Explorer (WISE; Wright et al. 2010) mapped the sky at 3.4, 4.6, 12, and 22 μm (W1, W2, W3, W4) in 2010 with an angular resolution of 6.1", 6.4", 6.5", & 12.0" in the four bands. WISE achieved 5σ point source sensitivities better than 0.08, 0.11, 1 and 6 mJy in unconfused regions on the ecliptic in the four bands. Sensitivity improves toward the ecliptic poles due to denser coverage and lower zodiacal background. The All-Sky Release includes all data taken during the WISE full cryogenic mission phase, 7 January 2010 to 6 August 2010, that were processed with improved calibrations and reduction algorithms. Release data products include an Atlas of 18,240 match-filtered, calibrated and coadded image sets, a Source Catalog containing positional and photometric information for over 563 million objects detected on the WISE images, and an Explanatory Supplement that is a guide to the format, content, characteristics and cautionary notes for the WISE All-Sky Release products. The WISE All-Sky Data Release Single-exposure Source Working Database contains positions and brightness information, uncertainties, time of observation and assorted quality flags for 9,479,433,101 "sources" detected on the individual WISE 7.7s (W1 and W2) and 8.8s (W3 and W4) Single-exposure images. Because WISE scanned every point on the sky multiple times, the Single-exposure Database contains multiple, independent measurements of objects on the sky. Entries in the Single-exposure Source Table include detections of real astrophysical objects, as well as spurious detections of low SNR noise excursions, transient events such as hot pixels, charged particle strikes and satellite streaks, and image artifacts light from bright sources including the moon. Many of the unreliable detections are flagged in the Single-exposure Table, but they have not been filtered out as they were for the Source Catalog. Therefore, the Table must be used with caution. Users are strongly encouraged to read the Cautionary Notes before using the Table. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.26131/irsa331
title: Spitzer Wide-area InfraRed Extragalactic Survey XMM-LSS MIPS 70 micron Catalog

description: The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.26131/irsa332
title: Spitzer Wide-area InfraRed Extragalactic Survey ELAIS-N2 Optical-IRAC-MIPS24 Catalog

description: The Spitzer Wide-area InfraRed Extragalactic survey (SWIRE), the largest Spitzer Legacy program, is a wide-area, imaging survey to trace the evolution of dusty, star-forming galaxies, evolved stellar populations, and AGN as a function of environment, from redshifts z~3 to the current epoch. SWIRE surveys 6 high-latitude fields, totaling ~50 sq. deg. in all 7 Spitzer bands: 3.6, 4.5, 5.8, and 8 microns with IRAC and 24, 70, and 160 microns with MIPS (Lonsdale et al. 2003). The SWIRE Legacy Extragalactic Source Catalogs will eventually contain in excess of 2 million IR-selected galaxies, from those dominated by the light of stellar populations detected primarily by IRAC, to starbursts, ultra-luminous infrared galaxies and AGN detected also by MIPS. The main SWIRE catalogs for 24 micron data are the Optical-IRAC-MIPS24 bandmerged catalogs. The bandmerged catalogs require a detection in the shortest IRAC band (3.6 microns). The SWIRE project has produced single-band 24 micron catalogs to cover regions that lie outside the IRAC images, and to include sources that for some reason were not associated with a 3.6 micron detection. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.5281/zenodo.8279164
title: desmognathus_catahoula_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279163
title: desmognathus_catahoula_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279185
title: allsides_data_center_fulltext

description: Cleaned fulltext data from the center political spectrum
DOI: 10.5281/zenodo.8279184
title: allsides_data_center_fulltext

description: Cleaned fulltext data from the center political spectrum
DOI: 10.5281/zenodo.8279179
title: accipiter_madagascariensis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279178
title: accipiter_madagascariensis_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279199
title: allsides_data_center_heading

description: Cleaned headlines data for the center political spectrum
DOI: 10.5281/zenodo.8279198
title: allsides_data_center_heading

description: Cleaned headlines data for the center political spectrum
DOI: 10.34740/kaggle/dsv/6357685
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5517/cc117ktn
title: CCDC 960591: Experimental Crystal Structure Determination

description: Related Article: I.A.Tikhonova, A.A.Yakovenko, K.I.Tugashov, F.M.Dolgushin, P.V.Petrovsky, M.Kh.Minacheva, B.N.Strunin, V.B.Shur|2013|Izv.Akad.Nauk SSSR,Ser.Khim.||710|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1lm8hz
title: CCDC 1478281: Experimental Crystal Structure Determination

description: Related Article: Füreya Elif Özbek, Mustafa Sertçelik, Erdal Taşdemir, Tuncer Hökelek, Raziye Çatak Çelik, Hacali Necefoğlu|2019|Iran J.Chem.Chem.Eng.|38|251|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc10qhy5
title: CCDC 945157: Experimental Crystal Structure Determination

description: Related Article: Irina Fomina, Andrey Gavrikov, Andrey Ilyukhin|2016|CSD Communication|||
description: Related Article: Irina G. Fomina, Andrey B. Ilyukhin, Andrey V. Gavrikov, Grygory G. Aleksandrov, Elena V. Fatyushina, Sergey Yu. Gavrilkin, Artem S. Bogomyakov, Igor L. Eremenko|2018|Inorg.Chim.Acta|482|8|doi:10.1016/j.ica.2018.05.033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pggm7
title: CCDC 1563039: Experimental Crystal Structure Determination

description: Related Article: Nesrine Amiri, Melek Hajji, Fadia Ben Taheur, Sylviane Chevreux, Thierry Roisnel, Gilles Lemercier, Habib Nasri|2018|J.Solid State Chem.|258|477|doi:10.1016/j.jssc.2017.11.018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23rymg
title: CCDC 1959436: Experimental Crystal Structure Determination

description: Related Article: A.A. Nikiforov, D.O. Blinou, E.N. Dubrov, N.S. Panina, A.I. Ponyaev, V.V. Gurzhiy, A.V. Eremin, A.I. Fischer|2019|Acta Crystallogr.,Sect.E:Cryst.Commun.|75|1768|doi:10.1107/S2056989019014063
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zx478
title: CCDC 1844290: Experimental Crystal Structure Determination

description: Related Article: Merrill M. Wicht, Luigi R. Nassimbeni, Nikoletta B. Báthori|2019|Polyhedron|163|7|doi:10.1016/j.poly.2019.01.069
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc232dzl
title: CCDC 1938739: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhao Yu, Ling-Yang Wang, Fang Liu, Yan-Tuan Li, Zhi-Yong Wu, Cui-Wei Yan|2020|Cryst.Growth Des.|20|2064|doi:10.1021/acs.cgd.9b01710
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.8279071
title: Classification and quantification of sucrose from sugar beetand sugarcane using optical spectroscopy and chemometrics

description: Sucrose, obtained from either sugar beet or sugarcane, is one of the main ingredients used in the food industry. Due to the same molecular structure, chemical methods cannot distinguish sucrose from both sources. More practical and affordable methods would be valuable. Sucrose samples (cane and beet) were collected from nine countries, 25% (w/w) aqueous solutions were prepared and their absorbances recorded from 200 to 1380 nm. Spectral differences were observable in the ultraviolet–visible (UV–Vis) region from 200 to 600 nm due to impurities in sugar. Linear discriminant analysis (LDA), classification and regression trees, and soft independent modeling of class analogy were tested for the UV–Vis region. All methods showed high performance accuracies. LDA, after selection of five wavelengths, gave 100% correct classification with a simple interpretation. In addition, binary mixtures of the sugar samples were prepared for quantitative analysis by means of partial least squares regression and multiple linear regression (MLR). MLR with first derivative Savitzky–Golay were most accept- able with root mean square error of cross-validation, prediction, and the ratio of (standard error of) prediction to (standard) deviation values of 3.92%, 3.28%, and 9.46, respectively. Using UV–Vis spectra and chemometrics, the results show promise to distinguish between the two different sources of sucrose. An affordable and quick analysis method to differentiate between sugars, produced from either sugar beet or sugarcane, is suggested. This method does not involve complex chemical analysis or high-level experts and can be used in research or by industry to detect the source of the sugar which is important for some countries’ agricultural policies.
DOI: 10.5281/zenodo.8279070
title: Classification and quantification of sucrose from sugar beetand sugarcane using optical spectroscopy and chemometrics

description: Sucrose, obtained from either sugar beet or sugarcane, is one of the main ingredients used in the food industry. Due to the same molecular structure, chemical methods cannot distinguish sucrose from both sources. More practical and affordable methods would be valuable. Sucrose samples (cane and beet) were collected from nine countries, 25% (w/w) aqueous solutions were prepared and their absorbances recorded from 200 to 1380 nm. Spectral differences were observable in the ultraviolet–visible (UV–Vis) region from 200 to 600 nm due to impurities in sugar. Linear discriminant analysis (LDA), classification and regression trees, and soft independent modeling of class analogy were tested for the UV–Vis region. All methods showed high performance accuracies. LDA, after selection of five wavelengths, gave 100% correct classification with a simple interpretation. In addition, binary mixtures of the sugar samples were prepared for quantitative analysis by means of partial least squares regression and multiple linear regression (MLR). MLR with first derivative Savitzky–Golay were most accept- able with root mean square error of cross-validation, prediction, and the ratio of (standard error of) prediction to (standard) deviation values of 3.92%, 3.28%, and 9.46, respectively. Using UV–Vis spectra and chemometrics, the results show promise to distinguish between the two different sources of sucrose. An affordable and quick analysis method to differentiate between sugars, produced from either sugar beet or sugarcane, is suggested. This method does not involve complex chemical analysis or high-level experts and can be used in research or by industry to detect the source of the sugar which is important for some countries’ agricultural policies.
DOI: 10.25345/c5tx35h44
title: MassIVE MSV000092740 - Untargeted_metabolomics_Microglena_antarctica
title: LC-MS/MS samples aquired at CCMAR (Faro, Portugal). Samples originate from microalgal culture of M. antarctica IMA076A grown at three different temperatures.
DOI: 10.5281/zenodo.8279217
title: allsides_data_left_fulltext

description: fulltext data from left news articles
DOI: 10.5281/zenodo.8279216
title: allsides_data_left_fulltext

description: fulltext data from left news articles
DOI: 10.5281/zenodo.8279224
title: agapornis_fischeri_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279223
title: agapornis_fischeri_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279230
title: allsides_data_right_fulltext

description: fulltext data from the right political news articles
DOI: 10.5281/zenodo.8279229
title: allsides_data_right_fulltext

description: fulltext data from the right political news articles
DOI: 10.5281/zenodo.8279236
title: agapornis_personatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279235
title: agapornis_personatus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279238
title: allsides_data_right_heading

description: headlines data from the right political newsarticles
DOI: 10.5281/zenodo.8279237
title: allsides_data_right_heading

description: headlines data from the right political newsarticles
DOI: 10.5281/zenodo.8279244
title: allsides_data_left_heading.

description: heading data from the left political newsarticles
DOI: 10.5281/zenodo.8279243
title: allsides_data_left_heading.

description: heading data from the left political newsarticles
DOI: 10.5281/zenodo.8279242
title: agapornis_pullarius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279241
title: agapornis_pullarius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8279257
title: complete_allsides_data

description: complete allsides newsarticle data
DOI: 10.5281/zenodo.8279256
title: complete_allsides_data

description: complete allsides newsarticle data
DOI: 10.5281/zenodo.8279261
title: complete_allsides_data_cleaned

description: cleaned complete allsides data, without citations and special characters in the fulltexts
DOI: 10.5281/zenodo.8279260
title: complete_allsides_data_cleaned

description: cleaned complete allsides data, without citations and special characters in the fulltexts
DOI: 10.6084/m9.figshare.23703143
title: A survey of barriers and facilitators to caffeine use for apnoea of prematurity in low- and middle-income countries

description: Despite its associated benefits which include better long-term pulmonary and neurodevelopmental outcome, the use of caffeine for apnoea of prematurity (AoP) has been limited in low- and middle-income countries (LMIC). To better understand current caffeine use, the barriers and facilitators to its use and perceptions and practices in LMIC which have a disproportionately high burden of prematurity. An anonymous online global survey was conducted, targeting healthcare providers working and training in paediatrics and/or neonatology in LMIC. A total of 181 respondents in 16 LMIC were included in the analysis; most were physicians working in publicly-funded urban tertiary hospitals. Most had received training in the use of caffeine for AoP (77%), reported expertise (70%) and confidence (96%) in its use, and had access to caffeine (65%). Caffeine availability was reported to be the greatest barrier (48%) and the greatest facilitator (37%). Other common barriers included cost (31%), access (7%) and policies or guidelines on caffeine use (7%); other common facilitators included policies or guidelines on caffeine use (11%), access (10%), staff/other providers’ acceptance of caffeine as an appropriate treatment (9%) and the availability of staff to administer caffeine (8%). Most (79%) noted that access to caffeine was important, 92% agreed that caffeine improves quality of care, and 95% agreed that caffeine improves patient outcome. Improving availability and access to low-cost caffeine will be key to increasing caffeine use in LMIC. AoP: Apnoea of Prematurity; LMIC: low- and middle-Income countries; REDCap: Research Electronic Data Capture.
DOI: 10.6084/m9.figshare.23703143.v1
title: A survey of barriers and facilitators to caffeine use for apnoea of prematurity in low- and middle-income countries

description: Despite its associated benefits which include better long-term pulmonary and neurodevelopmental outcome, the use of caffeine for apnoea of prematurity (AoP) has been limited in low- and middle-income countries (LMIC). To better understand current caffeine use, the barriers and facilitators to its use and perceptions and practices in LMIC which have a disproportionately high burden of prematurity. An anonymous online global survey was conducted, targeting healthcare providers working and training in paediatrics and/or neonatology in LMIC. A total of 181 respondents in 16 LMIC were included in the analysis; most were physicians working in publicly-funded urban tertiary hospitals. Most had received training in the use of caffeine for AoP (77%), reported expertise (70%) and confidence (96%) in its use, and had access to caffeine (65%). Caffeine availability was reported to be the greatest barrier (48%) and the greatest facilitator (37%). Other common barriers included cost (31%), access (7%) and policies or guidelines on caffeine use (7%); other common facilitators included policies or guidelines on caffeine use (11%), access (10%), staff/other providers’ acceptance of caffeine as an appropriate treatment (9%) and the availability of staff to administer caffeine (8%). Most (79%) noted that access to caffeine was important, 92% agreed that caffeine improves quality of care, and 95% agreed that caffeine improves patient outcome. Improving availability and access to low-cost caffeine will be key to increasing caffeine use in LMIC. AoP: Apnoea of Prematurity; LMIC: low- and middle-Income countries; REDCap: Research Electronic Data Capture.
DOI: 10.5517/ccpgsnk
title: CCDC 639829: Experimental Crystal Structure Determination

description: Related Article: O.V.Andreeva, B.F.Garifullin, A.T.Gubaidullin, V.A.Al'fonsov, V.E.Kataev, D.V.Ryzhikov|2007|Zh.Strukt.Khim.|48|581|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccpgspl
title: CCDC 639830: Experimental Crystal Structure Determination

description: Related Article: O.V.Andreeva, B.F.Garifullin, A.T.Gubaidullin, V.A.Al'fonsov, V.E.Kataev, D.V.Ryzhikov|2007|Zh.Strukt.Khim.|48|581|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc23p8kn
title: CCDC 1956861: Experimental Crystal Structure Determination

description: Related Article: Abeer F. Shunnar, Bhausaheb Dhokale, Durga Prasad Karothu, David H. Bowskill, Isaac J. Sugden, Hector H. Hernandez, Panče Naumov, Sharmarke Mohamed|2020|Chem.-Eur.J.|26|4752|doi:10.1002/chem.201904672
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d1vp0
title: CCDC 2206322: Experimental Crystal Structure Determination

description: Related Article: Xiao-Lei Li, Zhifang Ma, Jinjiang Wu, Quan Zhou, Jinkui Tang|2022|Dalton Trans.|51|17579|doi:10.1039/D2DT02996K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.