cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4671950
title: Switzerland vacational rental

description: This dataset is formed by the results obtained from the different vacational rentals available on the hometogo.com portal during the period 05/31 to 06/06 in Switzerland and with a price under 175 euros per night. For more details you can visit the following GitHub repository:<br> https://github.com/ElisabethUoc/Web_Scraping
DOI: 10.5281/zenodo.4671949
title: Switzerland vacational rental

description: This dataset is formed by the results obtained from the different vacational rentals available on the hometogo.com portal during the period 05/31 to 06/06 in Switzerland and with a price under 175 euros per night. For more details you can visit the following GitHub repository:<br> https://github.com/ElisabethUoc/Web_Scraping
DOI: 10.5281/zenodo.4671928
title: Coefficients of Optimized Low-Storage Runge-Kutta Methods with Automatic Step Size Control for Spectral Element Methods Applied to Compressible Computational Fluid Dynamics

description: Optimized Low-Storage Runge-Kutta Methods with Automatic Step Size Control for Spectral Element Methods Applied to Compressible Computational Fluid Dynamics
DOI: 10.6084/m9.figshare.14387162
title: TWAS data of Gut microbiota.rar

description: TWAS results data of gut microbiota , and the reference tissue is intestinal tissues.
DOI: 10.6084/m9.figshare.14387366
title: Dataset 12. ¿Se puede enseñar o aprender IA sin utilizar software/hardware?

description: Resultados de 7 artículos.
DOI: 10.6084/m9.figshare.14387366.v1
title: Dataset 12. ¿Se puede enseñar o aprender IA sin utilizar software/hardware?

description: Resultados de 7 artículos.
DOI: 10.15161/oar.it/73638
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4293260
title: Catalog of deep low-frequency earthquakes in 52 regions of Japan

description: Catalog of deep low-frequency earthquakes in 52 regions all over Japan. Period: April 2004-December 2018 This dataset include all results of relocation, classification and detection. The contents of analyses and results is submitted to Journal of Geophysical Research. Preprint is here(https://doi.org/10.1002/essoar.10505063.2). <strong>Include files</strong> <strong>・regionlist.dat: </strong>List of target regions of this study. 1regionname, 2min longitude, 3max longitude, 4min latitude, 5max latitude <strong>・DLF_catalog_JMA: </strong>Results of relocation and classification for the DLF earthquakes in the earthquake catalog of Japan Meteorology Agency. <strong>・DLF_catalog_MFT: </strong>Results of detection for the DLF earthquakes based on Matched Filter Technique. Results of relocation and classification are also included.
DOI: 10.5281/zenodo.4672022
title: An ideal president's personality_ Russian citizens

description: 450 structured interviews aimed to examine the commonness of specific personality expectations in a Russian sample balanced by demographic characteristics; provides a quantitative inventory of the prominent personality attributes of a prototypical Russian president.
DOI: 10.5281/zenodo.4672021
title: An ideal president's personality_ Russian citizens

description: 450 structured interviews aimed to examine the commonness of specific personality expectations in a Russian sample balanced by demographic characteristics; provides a quantitative inventory of the prominent personality attributes of a prototypical Russian president.
DOI: 10.5281/zenodo.4672031
title: Being Helpful and Being Innovative: The Role of Psychological Meaningfulness and Positive Affect

description: The data used during this study
DOI: 10.5281/zenodo.4672030
title: Being Helpful and Being Innovative: The Role of Psychological Meaningfulness and Positive Affect

description: The data used during this study
DOI: 10.5281/zenodo.4671982
title: A High-Resolution Global-Scale Model for COVID-19 Infection Rate

description: This dataset contains all information to reproduce our experiment to produce a high-resolution global map (0.1°) of infection-rate risk for COVID-19, based on temperature, precipitation, and CO2. The produced risk index map predicts most of the areas with an actual high risk (87% accuracy), which are characterized by a moderate-high level of CO2, moderate-low temperatures, and a moderate level of precipitation. With respect to our previous model (https://zenodo.org/record/3945495#.YG7UEugzaUk) - which had a coarser 0.5° resolution - this new model is much more accurate at predicting real-world scenarios that reported both high and low infection rates in 2020 (80% accuracy). <strong>Explanation of data and images:</strong> comparisonvert.png -&gt; Visualisation of the output produced by our model: (a) distribution of high-infection-rate areas using the MaxEnt balanced threshold (0.008), (b) probability peak areas (0.13 threshold), (c) overlap between low infection rate countries extracted from real data and our risk map, and (d) highlight of low infection rate countries not predicted by our model<br> countries_high_rate.csv-&gt; high-infection-rate countries<br> countries_low_rate.csv-&gt; low-infection-rate countries<br> countries_low_rate_mispredicted.csv-&gt; low-infection-rate countries mispredicted by our model<br> covid_derivatives.csv-&gt; extracted average derivatives of world countries<br> gp.asc-&gt; MaxEnt distribution<br> LowDerivativeRegions.png-&gt;low-infection-rate countries - image<br> MaxEnt distribution.png-&gt;distribution of high-infection-rate areas using the MaxEnt balanced threshold (0.008) - image<br> MaxEnt peaks.png-&gt; MaxEnt probability peak areas (0.13 threshold)<br> Precipitation.png-&gt;Average precipitation 2000-2005<br> RiskMap.png-&gt; New high-infection-rate risk map based on a 0.1° resolution MaxEnt model<br> RiskMap05.png-&gt;our previous risk map based on a 0.5° resolution MaxEnt model<br> riskmapcomparison.png-&gt; Visual comparison between (a) our new high-infection-rate risk map based on a 0.1° resolution MaxEnt model and (b) our previous risk map based on a 0.5° resolution MaxEnt model.<br> RiskMapOverlap_mispredicted.png-&gt;highlight of low infection rate countries not predicted by our model<br> Temperature.png-&gt;Average Surface Air Temperature 2000-2005<br> time_series_covid19_confirmed_global.csv-&gt;World COVID-19 reports up to April 2021
DOI: 10.6084/m9.figshare.14387423.v1
title: Dataset 13. ¿Qué congresos o revistas científicas son relevantes en el campo de la IA en K-12?

description: Resultado de 67 artículos.
DOI: 10.6084/m9.figshare.14387423
title: Dataset 13. ¿Qué congresos o revistas científicas son relevantes en el campo de la IA en K-12?

description: Resultado de 67 artículos.
DOI: 10.5517/ccdc.csd.cc215sdf
title: CCDC 1882394: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215sfg
title: CCDC 1882395: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215sgh
title: CCDC 1882396: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215shj
title: CCDC 1882397: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215sjk
title: CCDC 1882398: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215skl
title: CCDC 1882399: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215slm
title: CCDC 1882400: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.5517/ccdc.csd.cc215smn
title: CCDC 1882401: Experimental Crystal Structure Determination

description: Related Article: Sylvain G. Dutremez, Xavier Dumail, Sonia Mallet-Ladeira, Arie van der Lee, Dominique Granier, Nathalie Masquelez, Jean-Sébastien Filhol|2021|Cryst.Growth Des.|21|2028|doi:10.1021/acs.cgd.0c01402
DOI: 10.20375/0000-000d-ff74-2
title: Paratexts in three text corpora

description: In three text corpora all the paratexts as well as narrative positions were collected and quantified. These three corpora consist of 109 titles of French war literature referring to the Franco-Prussian war of 1870/1871, 84 titles of primatological works, and 103 ethnographic works. For each of these three corpora, this data publication contains a bibliography, the raw data, the quantified data which were used for clustering, and code used in R for an exploratory analysis. These data support three research articles that have been published in German language: Jörg Lehmann, Über Genre und Form französischer Erinnerungsliteratur nach dem Krieg von 1870/71. Ein Beitrag zu einer quantitativen Literaturgeschichtsschreibung, in: Romanistische Zeitschrift für Literaturgeschichte 41(2017), H.3–4, S.413–434. Fabienne Kilchör, Jörg Lehmann, Katja Liebal und Oliver Lubrich, Diesseits von Eden. Paratexte und Bilder in der Primatographie, in: Scientia Poetica Vol.22(1), 2018, S. 151–179. https://doi.org/10.1515/scipo-2018-006 Fabienne Kilchör, Jörg Lehmann, Analyse von Begleittexten am Beispiel von 103 Ethnografien. In: Zeitschrift für digitale Geisteswissenschaften. Wolfenbüttel 2020. DOI: https://doi.org/10.17175/2020_003
DOI: 10.20375/0000-000d-ff76-0
title: Bibliografie109TitelKrieg1870.csv

description: Bibliography of the text corpus of 109 French war literature titles (UTF-8 encoded .csv)
DOI: 10.15468/ee5932
title: A Checklist of Tree Species in Permanent Sample Plot (PSP 87) of Cross River North Forest, Cross River State, Nigeria

description: The Ecology section is one of the four sections in the department of forest conservation and protection of the Forestry Research Institute of Nigeria, Ibadan. As part of her mandate, the section ensures the protection and conservation of natural resources in-situ. The Permanent Sample Plot (PSP 87) is situated in Cross River State of NIgeria, and acomodates a number of interesting species. The current data is a checklist of 72 tree species recorded in 1961.
DOI: 10.20375/0000-000d-ff77-f
title: Bibliografie109TitelKrieg1870.odt

description: Bibliography of the text corpus consisting of 109 French war literature titles
DOI: 10.20375/0000-000d-ff78-e
title: Rohdaten109TitelKrieg1870.csv

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst (UTF-8 encoded .csv)
DOI: 10.20375/0000-000d-ff79-d
title: Rohdaten109TitelKrieg1870.xls

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst
DOI: 10.20375/0000-000d-ff7a-c
title: Clustering109TitelKrieg1870.csv

description: Quantified data used for clustering (UTF-8 encoded .csv); compared to the raw data, all continuous variables have been normalized (value*100/no of pages in text); binary variables have been left as is
DOI: 10.20375/0000-000d-ff7b-b
title: CodeClusteringKrieg1870.R

description: Code used in R for an exploratory cluster analysis
DOI: 10.20375/0000-000d-ff7c-a
title: ClusteringKrieg1870Divisive.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff7d-9
title: ClusteringKrieg1870Agglomerative.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff75-1
title: Corpus 1: 109 texts referring to the Franco-Prussian War of 1870/71

description: In a corpus consisting of 109 online available texts of French war literature, all the paratexts as well as narrative positions were collected and quantified. This data collection consists of a bibliography in two formats (.odt and UTF-8 encoded.csv), the raw data in two formats (.xls and UTF-8 encoded.csv), a file containing quantified data used for clustering (UTF-8 encoded.csv), code used in R for an exploratory analysis, and two sample dendrograms showing the results of the clustering. The results of the analysis were published in: Jörg Lehmann, Über Genre und Form französischer Erinnerungsliteratur nach dem Krieg von 1870/71. Ein Beitrag zu einer quantitativen Literaturgeschichtsschreibung, in: Romanistische Zeitschrift für Literaturgeschichte 41(2017), H.3–4, S.413–434.
DOI: 10.20375/0000-000d-ff7f-7
title: Bibliografie84Primatografien.csv

description: Bibliography of the text corpus of 84 primatological works (UTF-8 encoded .csv)
DOI: 10.20375/0000-000d-ff80-3
title: Bibliografie84Primatografien.odt

description: Bibliography of the text corpus of 84 primatological works
DOI: 10.20375/0000-000d-ff81-2
title: Rohdaten84Primatografien.csv

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst (UTF-8 encoded .csv)
DOI: 10.20375/0000-000d-ff82-1
title: Rohdaten84Primatografien.xls

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst
DOI: 10.20375/0000-000d-ff83-0
title: Clustering84Primatografien.csv

description: Quantified data used for clustering (UTF-8 encoded .csv); compared to the raw data, all continuous variables have been normalized (value*100/no of pages in text); binary variables have been left as is
DOI: 10.20375/0000-000d-ff84-f
title: CodeClusteringPrimatografien.R

description: Code used in R for an exploratory cluster analysis
DOI: 10.20375/0000-000d-ff85-e
title: ClusteringPrimatoDivisive.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff86-d
title: ClusteringPrimatoAgglomerative.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff7e-8
title: Corpus 2: 84 primatological texts

description: In a corpus consisting of 84 primatological texts, all the paratexts as well as narrative positions were collected and quantified. This data collection consists of a bibliography in two formats (.odt and UTF-8 encoded.csv), the raw data in two formats (.xls and UTF-8 encoded.csv), a file containing quantified data used for clustering (UTF-8 encoded.csv), code used in R for an exploratory analysis, and two sample dendrograms showing the results of the clustering. The results of the analysis were published in: Fabienne Kilchör, Jörg Lehmann, Katja Liebal und Oliver Lubrich, Diesseits von Eden. Paratexte und Bilder in der Primatographie, in: Scientia Poetica Vol.22(1), 2018, S. 151–179. https://doi.org/10.1515/scipo-2018-006
DOI: 10.20375/0000-000d-ff88-b
title: Bibliographie103Ethnografien.csv

description: Bibliography of the text corpus of 103 ethnographic works (UTF-8 encoded .csv)
DOI: 10.20375/0000-000d-ff89-a
title: Bibliographie103Ethnografien.odt

description: Bibliography of the text corpus of 103 ethnographic works
DOI: 10.20375/0000-000d-ff8a-9
title: Rohdaten103Ethnografien.csv

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst (UTF-8 encoded .csv)
DOI: 10.20375/0000-000d-ff8b-8
title: Rohdaten103Ethnografien.xls

description: Raw data as noted during data collection, with text excerpts and notes written by the analyst
DOI: 10.20375/0000-000d-ff8c-7
title: Clustering103Ethnografien.csv

description: Quantified data used for clustering (UTF-8 encoded .csv); compared to the raw data, all continuous variables have been normalized (value*100/no of pages in text); binary variables have been left as is
DOI: 10.20375/0000-000d-ff8d-6
title: CodeClusteringEthnografien.R

description: Code used in R for an exploratory cluster analysis
DOI: 10.20375/0000-000d-ff8e-5
title: ClusteringEthnoDivisive.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff8f-4
title: ClusteringEthnoAgglomerative.tif

description: Dendrogram showing a result of an exploratory clustering
DOI: 10.20375/0000-000d-ff87-c
title: Corpus 3: 103 ethnographic texts

description: In a corpus consisting of 103 primatological works, all the paratexts as well as narrative positions were collected and quantified. This data collection consists of a bibliography in two formats (.odt and UTF-8 encoded.csv), the raw data in two formats (.xls and UTF-8 encoded.csv), a file containing quantified data used for clustering (UTF-8 encoded.csv), code used in R for an exploratory analysis, and two sample dendrograms showing the results of the clustering. The results of the analysis were published in: Fabienne Kilchör, Jörg Lehmann, Analyse von Begleittexten am Beispiel von 103 Ethnografien. In: Zeitschrift für digitale Geisteswissenschaften. Wolfenbüttel 2020. DOI: https://doi.org/10.17175/2020_003
DOI: 10.5281/zenodo.4671856
title: Establecimientos bonÀrea: Información descriptiva de los supermercados, tiendas, bufets, gasolineras, Box online, Centros de Agricultura y centros Cash y precios históricos de los carburantes con servicios asociados en sus distintas gasolineras.

description: Descripción archivos csv: <strong>Archivo csv “bonarea_gasolineras_prices.csv”:</strong> csv actualizable con histórico de precios diarios de los diferentes carburantes disponibles en las gasolineras. <strong>Archivo csv “bonarea_gasolineras_data_and_prices.csv”: </strong>csv actualizable con los datos informativos de las gasolineras e histórico de precios diarios de los diferentes carburantes disponibles. <strong>Archivo csv “bonarea_establecimientos.csv”: </strong>csv con la información descriptiva de todos los establecimientos de BonÀrea. Breve descripción información asociada con el juego de datos: <strong>"Información descriptiva de las gasolineras bonÀrea, servicios asociados y valores diarios del precio de los carburantes"</strong> El conjunto de datos muestra el identificador de cada gasolinera con la fecha y día de la semana de la extracción de la información. Además, se incluye información básica de cada gasolinera (url, calle, ciudad, código postal, localización geográfica, servicios que provee en el propio establecimiento y los precios diarios de cada producto (Gasoil A, Gasolina sin plomo 95 y 98 y ADBLUE). Los atributos del dataset no tienen valores nulos excepto los servicios asociados y los productos de la gasolinera, donde pueden tomar valores nulos si tal servicio o producto no existe en esa determinada gasolinera. <strong>"Establecimientos bonÀrea: Información descriptiva de los supermercados, tiendas, bufets, gasolineras, Box online, Centros de Agricultura y centros Cash."</strong> El conjunto de datos muestra la misma información relevante que el anterior juego de datos para todos los tipos de establecimientos a excepción de los precios diarios por tipo de carburante. Este juego de datos se ha creado a nivel informativo, para tener en un único dataset toda la información relevante y descriptiva de los establecimientos de BonÀrea.
DOI: 10.5281/zenodo.4671855
title: Establecimientos bonÀrea: Información descriptiva de los supermercados, tiendas, bufets, gasolineras, Box online, Centros de Agricultura y centros Cash y precios históricos de los carburantes con servicios asociados en sus distintas gasolineras.

description: Descripción archivos csv: <strong>Archivo csv “bonarea_gasolineras_prices.csv”:</strong> csv actualizable con histórico de precios diarios de los diferentes carburantes disponibles en las gasolineras. <strong>Archivo csv “bonarea_gasolineras_data_and_prices.csv”: </strong>csv actualizable con los datos informativos de las gasolineras e histórico de precios diarios de los diferentes carburantes disponibles. <strong>Archivo csv “bonarea_establecimientos.csv”: </strong>csv con la información descriptiva de todos los establecimientos de BonÀrea. Breve descripción información asociada con el juego de datos: <strong>"Información descriptiva de las gasolineras bonÀrea, servicios asociados y valores diarios del precio de los carburantes"</strong> El conjunto de datos muestra el identificador de cada gasolinera con la fecha y día de la semana de la extracción de la información. Además, se incluye información básica de cada gasolinera (url, calle, ciudad, código postal, localización geográfica, servicios que provee en el propio establecimiento y los precios diarios de cada producto (Gasoil A, Gasolina sin plomo 95 y 98 y ADBLUE). Los atributos del dataset no tienen valores nulos excepto los servicios asociados y los productos de la gasolinera, donde pueden tomar valores nulos si tal servicio o producto no existe en esa determinada gasolinera. <strong>"Establecimientos bonÀrea: Información descriptiva de los supermercados, tiendas, bufets, gasolineras, Box online, Centros de Agricultura y centros Cash."</strong> El conjunto de datos muestra la misma información relevante que el anterior juego de datos para todos los tipos de establecimientos a excepción de los precios diarios por tipo de carburante. Este juego de datos se ha creado a nivel informativo, para tener en un único dataset toda la información relevante y descriptiva de los establecimientos de BonÀrea.
DOI: 10.6084/m9.figshare.14382035.v3
title: Visibility analyse

description: Dataset used for research: LiDAR based method to analyse architectural monuments visibility by pedestrian <br>
DOI: 10.5281/zenodo.4671410
title: TVB Storage folder for Sqlite

description: TVB Storage folder generated by TVB 1.5.8 intended to be used for testing the Sqlite migration to TVB 2.0
DOI: 10.5281/zenodo.4544861
title: TVB Storage folder for Sqlite

description: TVB Storage folder generated by TVB 1.5.8 intended to be used for testing the Sqlite migration to TVB 2.0