cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5748181
title: Tables of inchoative verbs in the Saami languages

description: The tables in the .xlsx file present the occurrence of various types of derived inchoative verbs by tabulating the attested derivatives of each base verb in each Saami language. Base verbs are given in their Proto-Saami form and approximate meanings in Finnish. For more information about sources etc., see the paper which this is an appendix to: Kuokkala, Juha. 2023. Inchoative verbs in Saami: Derivational types and their variation. In: <em>Saami Linguistics in Uppsala: The 2019 SAALS 4 Symposium</em>. Studia Uralica Upsaliensia 42.
DOI: 10.6084/m9.figshare.24783861
title: ESG data

description: ESG Data
DOI: 10.5281/zenodo.10341206
title: BASE DE DATOS CON DIMENSIONES Y SUBDIMENSIONES CECAPEU 2023 para perfiles en manejo competencia AaA.sav

description: Base de datos de 1234 sujetos de tres universidades de la ciudad de Valencia, dos públicas (Universidad de Valencia y Universidad Politécnica de Valencia), y una privada (Universidad Católica de Valencia).
La base de datos se utilizó para analizar los perfiles en el manejo de la competencia "aprender a aprender" de uma muestra de alumnos universitarios lo suficientemente representativa.
La base de datos, en SPSS 26.0, está integrada por 49 variables, siendo las cinco primeras nominales (Universidad, Facultad, Titulación, Curso, Sexo), la sexta ordinal (Edad), y las variables 8 a la 11 de escala, con valores que pueden oscilar de 0 a 10 (son calificaciones) y las restantes escalares. Desde de la variable 12 a la 49 son puntuaciones de escala, con valores que van de 1 (máximo desacuerdo) a 5 (máximo acuerdo) (se trata de puntuaciones medias de sumatorio de ítems integrantes de cada dimensión; los ítems de los que emergen tenían puntuación que oscilaba de 1 -máximo desacuerdo- a 5 máximo acuerdo-). Estas variables son puntuaciones de dimensiones y subdimensiones del cuestionario CECAPEU, que evalúa el aprendizaje de la competencia "aprender a aprender" del alumnado universitario. 
En el fichero que se ha subido, en txt, junto a la base de datos, se explican las variables y otras cuestiones relativas a la base de datos.
DOI: 10.5281/zenodo.10341207
title: BASE DE DATOS CON DIMENSIONES Y SUBDIMENSIONES CECAPEU 2023 para perfiles en manejo competencia AaA.sav

description: Base de datos de 1234 sujetos de tres universidades de la ciudad de Valencia, dos públicas (Universidad de Valencia y Universidad Politécnica de Valencia), y una privada (Universidad Católica de Valencia).
La base de datos se utilizó para analizar los perfiles en el manejo de la competencia "aprender a aprender" de uma muestra de alumnos universitarios lo suficientemente representativa.
La base de datos, en SPSS 26.0, está integrada por 49 variables, siendo las cinco primeras nominales (Universidad, Facultad, Titulación, Curso, Sexo), la sexta ordinal (Edad), y las variables 8 a la 11 de escala, con valores que pueden oscilar de 0 a 10 (son calificaciones) y las restantes escalares. Desde de la variable 12 a la 49 son puntuaciones de escala, con valores que van de 1 (máximo desacuerdo) a 5 (máximo acuerdo) (se trata de puntuaciones medias de sumatorio de ítems integrantes de cada dimensión; los ítems de los que emergen tenían puntuación que oscilaba de 1 -máximo desacuerdo- a 5 máximo acuerdo-). Estas variables son puntuaciones de dimensiones y subdimensiones del cuestionario CECAPEU, que evalúa el aprendizaje de la competencia "aprender a aprender" del alumnado universitario. 
En el fichero que se ha subido, en txt, junto a la base de datos, se explican las variables y otras cuestiones relativas a la base de datos.
DOI: 10.6084/m9.figshare.24782817.v1
title: Data and code for: <b>Urbanization Ages Linked to Differences in Microbial Community Composition and Diversity</b>

description: Data and code in this study.
DOI: 10.5281/zenodo.8268089
title: CALLISTO Ontology

description: The CALLISTO ontology models the domain knowledge and geospatial semantics of the EU-funded CALLISTO project. CALLISTO aims to bridge the gap between Copernicus Data and Data and Information Access Service (DIAS) providers and users in different domains by providing AI solutions that effectively add value to large amounts of satellite data. The project focuses on the Earth Observations (EO) domain and its relationship with four Pilot Use Cases (PUCs): 1) Common Agricultural Policy (CAP) monitoring, 2) water quality assessment, 3) air quality assessment and journalism, and 4) land border surveillance. The CALLISTO ontology has been developed to handle this multi-domain data by offering a semantic representation of each domain and the connections between them. The ontology is reusing the CANDELA ontologies to represent geospatial data and satellite imagery. Meanwhile, additional concepts are introduced in the CALLISTO ontology to accurately capture the domain-specific definitions associated with the targeted PUCs. The objective behind developing the ontology is to convert the domain knowledge into a format that machines can understand and process, typically in the form of a Resource Description Framework (RDF). This transformation enables the application of data analytics techniques and the extraction of additional knowledge through automated inference. Applications such as geospatial question answering, geospatial data retrieval, and cross-domain semantic data-driven applications could use it as an underlying data source.


The CALLISTO ontology is available in an RDF format; it is associated with Work Package WP6 within the CALLISTO project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101004152. For further details, please refer to deliverable D6.1: The CALLISTO ontologies and semantic indexing. The ontology and knowledge graph were developed by the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). In collaboration with PUC members, the ontology was developed and evaluated. Following that, the task of incorporating data from PUC teams into the ontology resulted in the creation of the CALLISTO knowledge graph.
DOI: 10.5281/zenodo.8268090
title: CALLISTO Ontology

description: The CALLISTO ontology models the domain knowledge and geospatial semantics of the EU-funded CALLISTO project. CALLISTO aims to bridge the gap between Copernicus Data and Data and Information Access Service (DIAS) providers and users in different domains by providing AI solutions that effectively add value to large amounts of satellite data. The project focuses on the Earth Observations (EO) domain and its relationship with four Pilot Use Cases (PUCs): 1) Common Agricultural Policy (CAP) monitoring, 2) water quality assessment, 3) air quality assessment and journalism, and 4) land border surveillance. The CALLISTO ontology has been developed to handle this multi-domain data by offering a semantic representation of each domain and the connections between them. The ontology is reusing the CANDELA ontologies to represent geospatial data and satellite imagery. Meanwhile, additional concepts are introduced in the CALLISTO ontology to accurately capture the domain-specific definitions associated with the targeted PUCs. The objective behind developing the ontology is to convert the domain knowledge into a format that machines can understand and process, typically in the form of a Resource Description Framework (RDF). This transformation enables the application of data analytics techniques and the extraction of additional knowledge through automated inference. Applications such as geospatial question answering, geospatial data retrieval, and cross-domain semantic data-driven applications could use it as an underlying data source.


The CALLISTO ontology is available in an RDF format; it is associated with Work Package WP6 within the CALLISTO project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101004152. For further details, please refer to deliverable D6.1: The CALLISTO ontologies and semantic indexing. The ontology and knowledge graph were developed by the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). In collaboration with PUC members, the ontology was developed and evaluated. Following that, the task of incorporating data from PUC teams into the ontology resulted in the creation of the CALLISTO knowledge graph.
DOI: 10.5517/ccdc.csd.cc2hn1nw
title: CCDC 2313178: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil Baran|2023|CSD Communication|||
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: 10.25505/fiz.icsd.cc2hn2gq
title: CSD 2313203: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2hr
title: CSD 2313204: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2js
title: CSD 2313205: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2kt
title: CSD 2313206: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2lv
title: CSD 2313207: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2mw
title: CSD 2313208: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2nx
title: CSD 2313209: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2py
title: CSD 2313210: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2qz
title: CSD 2313211: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2hn2r0
title: CSD 2313212: Experimental Crystal Structure Determination

description: Related Article: Kurt Mereiter|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e195702v1
title: Public Preschool Predicts Stronger Third-Grade Academic Skills

description: Public preschool boosts academic skills in kindergarten, but little is known about whether that boost lasts to third grade because many studies stop directly assessing children after kindergarten. The current study tests for sustained associations between preschool attendance and an array of repeatedly-measured, directly-assessed language and math skills; we do this separately for public pre-k and Head Start, the two major publicly-funded preschool programs. We draw on a large, racially-diverse sample of children from families with low incomes in Tulsa, OK (N=689, Mage at 3rd= 8.5 years). Using propensity score weighting, we compare children who attended school-based pre-k or Head Start to those who did not attend preschool. Both school-based pre-k and Head Start attenders outperformed preschool non-attenders on numeracy in third grade. There was weaker evidence of a sustained preschool advantage on language and literacy skills, and no evidence that associations differed by preschool program.
DOI: 10.34740/kaggle/dsv/7170812
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.24782817.v2
title: Data and code for: <b>Urbanization Ages Linked to Differences in Microbial Community Composition and Diversity</b>

description: Data and code used in this study.
DOI: 10.6084/m9.figshare.24718059
title: Revisión.pdf

description: Instrumentos de medida del uso de las Tecnologías de la Información y Comunicación: Una revisión sistemática. Base de datos para facilitar la recopilación y evaluación de la información pertinente respecto a la muestra seleccionada cumpliendo los principios FAIR (fáciles de encontrar, accesibles, interoperables y reutilizables) que deben regir este tipo de documentos en aras de abrir la ciencia a la sociedad.
DOI: 10.6084/m9.figshare.24718059.v2
title: Revisión.pdf

description: Instrumentos de medida del uso de las Tecnologías de la Información y Comunicación: Una revisión sistemática. Base de datos para facilitar la recopilación y evaluación de la información pertinente respecto a la muestra seleccionada cumpliendo los principios FAIR (fáciles de encontrar, accesibles, interoperables y reutilizables) que deben regir este tipo de documentos en aras de abrir la ciencia a la sociedad.
DOI: 10.6084/m9.figshare.24718059.v1
title: Revisión.pdf

description: Instrumentos de medida del uso de las Tecnologías de la Información y Comunicación: Una revisión sistemática. Base de datos para facilitar la recopilación y evaluación de la información pertinente respecto a la muestra seleccionada cumpliendo los principios FAIR (fáciles de encontrar, accesibles, interoperables y reutilizables) que deben regir este tipo de documentos en aras de abrir la ciencia a la sociedad.<br><br>
DOI: 10.6084/m9.figshare.24783903
title: Uso de Ferramentas de Linguagem (LLMs) na Educação

description: Material suplementar da pesquisa "Uso de Ferramentas de Linguagem (LLMs) na Educação"
DOI: 10.6084/m9.figshare.24783900
title: Model outputs link to the paper : Divergence in evolutionary potential of life-history traits among wild populations is predicted by differences in climatic conditions

description: The results_animal_model.tar.gz file contains the output of animal models (posterior samples of fixed and random effects) for each population describes in the paper.The GmatrixValues.tar.gz file contains the values of unstandardized G-matrix, standardized G-matrix, unstandardized G-matrix from null model and unstandardized G-matrix from null model.<br><br>
DOI: 10.6084/m9.figshare.24783900.v1
title: Model outputs link to the paper : Divergence in evolutionary potential of life-history traits among wild populations is predicted by differences in climatic conditions

description: The results_animal_model.tar.gz file contains the output of animal models (posterior samples of fixed and random effects) for each population describes in the paper.The GmatrixValues.tar.gz file contains the values of unstandardized G-matrix, standardized G-matrix, unstandardized G-matrix from null model and unstandardized G-matrix from null model.<br><br>
DOI: 10.6084/m9.figshare.23563911
title: POSTDIV: Postfire biodiversity database for eastern Iberia

description: In 2012, two large fires (&gt; 20,000ha) occurred simultaneously in Valencia region (eastern Iberia, Spain). Local records (19th and 20th centuries) indicate that fires of this size are outliers and thus they can be considered <i>megafires</i>. Here we provide the POSTDIV database collating species and abundance of arthropods (2 to 4 years), lizards (and their parasites; 4 years) and plants (5 years) that were annually monitored during the regeneration process at different distances from the centre of each fire, plus in adjacent unburned areas.<br>The POSTDIV database consists of six data tables provided as a comma-separated text file (*.csv). Missing values are represented by empty cells; decimal places are dots. Four of the data tables include the main data (postdiv.arthopods.csv, postdiv.reptiles.csv, postdiv.parasites.csv, postdiv.plants.csv), and two additional data tables provide the plot descriptors (postdiv.plots.csv) and taxonomic assignments (postdiv.taxonomy.csv). Additionally, we include two files with R scripts, one for checking the validity of the database (postdiv.check.R) and the other with examples to query the database (postdiv.examples.R).For more details, see:Pausas <i>et al</i>. 2023. Postfire biodiversity database for eastern Iberia. <i>Scientific Data</i> 10, 872. https://doi.org/10.1038/s41597-023-02794-9
DOI: 10.5281/zenodo.10343046
title: Recording of HADES-D satellite

description: This dataset is an RF recording of the 436.666 MHz signal of the amateur satellite HADES-D, developed by AMSAT-EA. The recording was done on 2023-12-09 during an almost overhead pass in Madrid (Spain). A handheld 7 element yagi antenna and a USRP B205mini were used. The recording is split into two files because the recording software stopped and was restarted during the pass, leading to the loss of about one minute of data. The USRP was set to the maximum gain. For some seconds at the beginning of the first recording and at the end of the recording, a 50 ohm dummy load was connected to the USRP B205mini instead of the antenna. This can serve to do a coarse absolute power calibration by using the known noise figure of the USRP.
The recording was done at 16-bit IQ, 4 Msps, at a frequency of 436.5 MHz using GNU Radio. The data was saved to a GNU Radio metadata file with detached headers to save the timestamps produced by the USRP (whose time was set using the recording laptop clock, which was synchronized by NTP). The recording was then formatted SigMF format. The original metadata headers are included with the .hdr extension. The HADES-D signal was Doppler corrected and decimated to 32 ksps. The result is included in the dataset, in the files that contain 32ksps in their name.
DOI: 10.5281/zenodo.10343047
title: Recording of HADES-D satellite

description: This dataset is an RF recording of the 436.666 MHz signal of the amateur satellite HADES-D, developed by AMSAT-EA. The recording was done on 2023-12-09 during an almost overhead pass in Madrid (Spain). A handheld 7 element yagi antenna and a USRP B205mini were used. The recording is split into two files because the recording software stopped and was restarted during the pass, leading to the loss of about one minute of data. The USRP was set to the maximum gain. For some seconds at the beginning of the first recording and at the end of the recording, a 50 ohm dummy load was connected to the USRP B205mini instead of the antenna. This can serve to do a coarse absolute power calibration by using the known noise figure of the USRP.
The recording was done at 16-bit IQ, 4 Msps, at a frequency of 436.5 MHz using GNU Radio. The data was saved to a GNU Radio metadata file with detached headers to save the timestamps produced by the USRP (whose time was set using the recording laptop clock, which was synchronized by NTP). The recording was then formatted SigMF format. The original metadata headers are included with the .hdr extension. The HADES-D signal was Doppler corrected and decimated to 32 ksps. The result is included in the dataset, in the files that contain 32ksps in their name.
DOI: 10.34740/kaggle/dsv/7171032
title: Caribbean Netherlands_economic
DOI: 10.5281/zenodo.3378952
title: Tesla Deaths

description: Tesla Deaths is a record of Tesla accidents that involved a driver, occupant, cyclist, motorcyclist, or pedestrian death. We record information about Tesla fatalities that have been reported and as much related crash data as possible such as location of crash, names of deceased. This dataset also tallies claimed and confirmed Tesla autopilot crashes, that is instances when Autopilot was activated during a Tesla crash that resulted in death.
Latest version of dataset at https://www.tesladeaths.com.
description: Regularly updated at tesladeaths.com; version hosted on Zenodo will be updated periodically.