cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5951251
title: Wallops SuperDARN data in netCDF format (2020-Jan)

description: 2020-Jan Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.5856452
title: uprolls2022-127

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2022 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2022
DOI: 10.5281/zenodo.5951294
title: Wallops SuperDARN data in netCDF format (2019-Nov)

description: 2019-Nov Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.5951293
title: Wallops SuperDARN data in netCDF format (2019-Nov)

description: 2019-Nov Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.5860017
title: uprolls2022-97

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2022 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2022
DOI: 10.5281/zenodo.5860016
title: uprolls2022-97

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2022 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2022
DOI: 10.5281/zenodo.5951266
title: Wallops SuperDARN data in netCDF format (2019-Dec)

description: 2019-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.5951265
title: Wallops SuperDARN data in netCDF format (2019-Dec)

description: 2019-Dec Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6035881
title: Ugric vocabulary (appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)

description: Ugric cognates (Appendix to the paper Grünthal, R., Heyd, V., Holopainen, S., Janhunen, J., Khanina, O., Miestamo, M., Nichols, J., Saarikivi, J. & Sinnemäki, K. 2022: Drastic demographic events triggered the Uralic spread. – Diachronica. https://doi.org/10.1075/dia.20038.gru) Words found only in Hungarian and Khanty and/or Mansi. Further work on Ugric etymologies (with updates to the information on this table) will be published on https://sanat.csc.fi/wiki/Hungarian_Historical_Phonology
description: Part of this work has been done by the author as a fellowship holder of the Austrian Academy of Sciences (APART-GSK) at the Finno-Ugrian department of the University of Vienna.
DOI: 10.5281/zenodo.5951194
title: Wallops SuperDARN data in netCDF format (2020-Jun)

description: 2020-Jun Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6035880
title: Ugric vocabulary (appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)

description: Ugric cognates (Appendix to the paper Grünthal, R., Heyd, V., Holopainen, S., Janhunen, J., Khanina, O., Miestamo, M., Nichols, J., Saarikivi, J. & Sinnemäki, K. 2022: Drastic demographic events triggered the Uralic spread. – Diachronica. https://doi.org/10.1075/dia.20038.gru) Words found only in Hungarian and Khanty and/or Mansi. Further work on Ugric etymologies (with updates to the information on this table) will be published on https://sanat.csc.fi/wiki/Hungarian_Historical_Phonology
description: Part of this work has been done by the author as a fellowship holder of the Austrian Academy of Sciences (APART-GSK) at the Finno-Ugrian department of the University of Vienna.
DOI: 10.13144/lil-0449
title: Données sur la population et l'enseignement : la France au 19ème siècle - Balance naturelle - 1851-1897

description: Ces données proviennent de tableaux publiés en France (Statistique Générale de la France) et rendent compte notamment pour la période 1851-1897 : * des Recensements * du Mouvement de la population * de la Statistique de l'enseignement primaire. Elles ont été produites par départements , et quelques fois par arrondissements ou grandes villes. C'est l'ICPSR (Inter-university Consortium for Political and Social Research) de l'Université du Michigan à Ann-Arbor qui a saisi les documents originaux à l'initiative d'Emmanuel Leroy-Ladurie. Les données réparties en 161 tableaux par l'ICPSR ont été retravaillées et constituent à présent un corpus de 625 tableaux. Ces tableaux sont annuels, avec des périodicités variables. Ils ont été regroupés en 4 lots que l'on peut commander indépendamment les uns des autres. Le lot "balance naturelle" contient 12 types de tableaux annuels, de 1851 à 1897, portant sur : * Les naissances, décès et balance naturelle * Les naissances vivantes ou non, légitimes ou non, multiples ou non, par sexe, mois ou âges du père et de la mère. En tout, 275 tableaux.
DOI: 10.5281/zenodo.5951193
title: Wallops SuperDARN data in netCDF format (2020-Jun)

description: 2020-Jun Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.13144/lil-0450
title: Données sur la population et l'enseignement : la France au 19ème siècle - Décès - 1851-1897

description: Ces données proviennent de tableaux publiés en France (Statistique Générale de la France) et rendent compte notamment pour la période 1851-1897 : * des Recensements * du Mouvement de la population * de la Statistique de l'enseignement primaire Elles ont été produites par départements , et quelques fois par arrondissements ou grandes villes. C'est l'ICPSR (Inter-university Consortium for Political and Social Research) de l'Université du Michigan à Ann-Arbor qui a saisi les documents originaux à l'initiative d'Emmanuel Leroy-Ladurie. Les données réparties en 161 tableaux par l'ICPSR ont été retravaillées et constituent à présent un corpus de 625 tableaux. Ces tableaux sont annuels, avec des périodicités variables. Ils ont été regroupés en 4 lots que l'on peut commander indépendamment les uns des autres. Le lot "décès" contient 12 types de tableaux annuels, de 1851 à 1897, portant sur : * Les décès par sexe, état matrimonial et causes. * Les décès infantiles par âge. * Les décès des militaires En tout, 166 tableaux.
DOI: 10.13144/lil-0451
title: Données sur la population et l'enseignement : la France au 19ème siècle - Recensements - 1841-1896

description: Ces données proviennent de tableaux publiés en France (Statistique Générale de la France) et rendent compte notamment pour la période 1851-1897 : * des Recensements * du Mouvement de la population * de la Statistique de l'enseignement primaire Elles ont été produites par départements , et quelques fois par arrondissements ou grandes villes. C'est l'ICPSR (Inter-university Consortium for Political and Social Research) de l'Université du Michigan à Ann-Arbor qui a saisi les documents originaux à l'initiative d'Emmanuel Leroy-Ladurie. Les données réparties en 161 tableaux par l'ICPSR ont été retravaillées et constituent à présent un corpus de 625 tableaux. Ces tableaux sont annuels, avec des périodicités variables. Ils ont été regroupés en 4 lots que l'on peut commander indépendamment les uns des autres. Le lot "Recensements" contient 12 types de tableaux quinquennaux, de 1841 à 1896, portant sur : * Les cultes par sexe * Les handicapés par sexe * La population totale et flottante par taille de communes * Les catégories sociales et d'activité par sexe * La population flottante par sexe et type En tout, 35 tableaux.
DOI: 10.6084/m9.figshare.17922860.v8
title: Influence of age on the knowledge of climate change and the information contained on energy efficiency labels in the City of Buenos Aires (Argentina)

description: <b>ABSTRACT</b>Climate change (hereinafter, CC) is a result of human activity, as has been demonstrated for decades. Additionally, it is known that this change has greatly accelerated in the recent years. In this short paper, we will analyse the use of energy efficiency labels (hereinafter, EELs) in Commune 13 of the City of Buenos Aires, as an efficient and effective mechanism for mitigating climate change. We will also examine how ethical or responsible consumers make decisions about purchasing products with greater energy efficiency in their daily lives, and how these decisions contribute to the mitigation of global climate change. For this purpose, we will briefly analyze the socio-historical context in which the aforementioned consumers operate. Further, we will investigate how EELs are used to purchase more energy-efficient appliances. Additionally, we will discuss some results of a survey conducted among consumers of the aforementioned commune in February 2021. We will conclude with a few brief conclusions and recommendations regarding the topic investigated.<br><br>
DOI: 10.17632/yr5ynnwhzt.1
title: Profound architectural and functional readjustments of the secretory pathway in decidualization of endometrial stromal cells

description: Certain cell types must expand their exocytic pathway to guarantee efficiency and fidelity of protein secretion. A spectacular case is offered by decidualizing human endometrial stromal cells (EnSCs). In the midluteal phase of the menstrual cycle, progesterone stimulation induces proliferating EnSCs to differentiate into professional secretors releasing proteins essential for efficient blastocyst implantation. Here, we describe the architectural rearrangements of the secretory pathway of a human EnSC line (TERT-immortalized human endometrial stromal cells (T-HESC)). As in primary cells, decidualization entails proliferation arrest and the coordinated expansion of the entire secretory pathway without detectable activation of unfolded protein response (UPR) pathways. Decidualization proceeds also in the absence of ascorbic acid, an essential cofactor for collagen biogenesis, despite also the secretion of some proteins whose folding does not depend on vitamin C is impaired. However, even in these conditions, no overt UPR induction can be detected. Morphometric analyses reveal that the exocytic pathway does not increase relatively to the volume of the cell. Thus, differently from other cell types, abundant production is guaranteed by a coordinated increase of the cell size following arrest of proliferation.
 DOI: 10.1111/tra.12822
DOI: 10.6084/m9.figshare.17922860.v9
title: Influence of age on the knowledge of climate change and the information contained on energy efficiency labels in the City of Buenos Aires (Argentina)

description: <b>ABSTRACT</b>Climate change is a result of the intensive use of energy since the time of the industrial revolution. In addition, this change has increased in recent years. In this research, we will examine the use of energy efficiency labels in the city of Buenos Aires as an effective tool for mitigating climate change. For this purpose, we will analyse how these types of labels are used to overcome information asymmetries that can lead to market failures (de Ayala & Foudi, 2021; Heinzle & Wüstenhagen, 2012). Additionally, we will examine how certain consumers make purchasing decisions regarding higher energy-efficienct products and how energy labels affect these decisions. We will also investigate how these personal choices contribute to climate change mitigation. In addition, we will examine the socio-historical context in which these consumers behave and the legal framework governing such labels in Argentina. Furthermore, we will discuss the main findings of a survey conducted in February 2021 among consumers in the aforementioned city. Finally, we will offer some brief conclusions and recommendations.<br>
DOI: 10.5281/zenodo.6035900
title: Indo-Iranian loans in Uralic (Appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)

description: Early Indo-Iranian loanwords in Uralic and their distribution (assembled from Holopainen, Sampsa 2019: Indo-Iranian borrowings in Uralic. PhD thesis, University of Helsinki).
DOI: 10.5281/zenodo.6035899
title: Indo-Iranian loans in Uralic (Appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)

description: Early Indo-Iranian loanwords in Uralic and their distribution (assembled from Holopainen, Sampsa 2019: Indo-Iranian borrowings in Uralic. PhD thesis, University of Helsinki).
DOI: 10.25345/c51w15
title: MassIVE MSV000088813 - GNPS - Dataset Creation from GNPS Molcular Networking - 6cf9579a41424e28a060626633244fda
title: Molino, R.J.E.J.; Rellin, K.F.B.; Nellas, R.B.; Junio, H.A. Sustainable Hues: Exploring the Molecular Palette of Biowaste Dyes through LC-MS Metabolomics. Molecules 2021, 26, 6645. https://doi.org/10.3390/molecules26216645
DOI: 10.17632/kjby696fp9.1
title: Patients younger than 70 undergoing transcatheter aortic valve implantation: Procedural outcomes and mid-term survival

description: Introduction: Based on recent data, the indication for transcatheter aortic valve implantation (TAVI) is expanding to individuals at lower surgical risk, who are generally younger than subjects historically treated for severe aortic stenosis. Indeed, younger patients have traditionally been under-represented in current TAVI literature. The aim of the present study is to report about clinical features, procedural outcomes and mid-term outcomes of patients younger than 70 who underwent TAVI in a single high-volume center.
Materials and methods: Consecutive patients younger than 70 years of age who underwent TAVI for severe, symptomatic aortic stenosis between 2007 and 2019 at a single, tertiary referral center have been included in this retrospective study. Procedural and mid-term outcomes were analyzed, comparing 1st generation with 2nd generation devices.
Results: Between 2007 and 2019, 1740 TAVI procedures were performed in our center. Among these, one hundred twenty-nine (7.4%) patients were younger than 70 years at the time of the intervention and were included in the present analysis. Fifty-eight patients (45%) were implanted with a 1st generation prosthesis while seventy-one patients (55%) were implanted with a 2nd generation device. Reasons which lead to a transcatheter approach in this population were: previous CABG (27.9%); porcelain aorta (24%); severe left ventricular systolic dysfunction (21.7%); prior chest radiation (19.4%); severe lung disease (8.5%); hemodynamic instability (7.0%); advanced liver disease (4.6%) and active cancer (3.9%). Overall device success rate was 89%, with no differences among 1st and 2nd generation devices. Threeyears all-cause mortality was 34%, with no difference among the two groups. Low incidence of aortic-valve re-intervention was observed at mid-term follow-up (late valve re-intervention = 2.3%).
Conclusions: TAVI in young patient with appropriate indication for intervention is a safe procedure, associated with low rate of in hospital mortality and low rate of severe complications both with 1st and with 2nd generation devices. When considering long term durability, more data are needed; in our case series long-term follow up shows a good survival and also an extremely low rate of valve re-intervention.

doi: 10.1016/j.ijcha.2021.100817.
DOI: 10.5281/zenodo.6035956
title: Proto-Uralic cognates (Appendix to Grünthal et al. 2022: Drastic demographic events triggered the Uralic spread)

description: A selection of Uralic cognates and their distribution (Appendix to the paper Grünthal, R., Heyd, V., Holopainen, S., Janhunen, J., Khanina, O., Miestamo, M., Nichols, J., Saarikivi, J. & Sinnemäki, K. 2022: Drastic demographic events triggered the Uralic spread. – Diachronica. https://doi.org/10.1075/dia.20038.gru)