cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7469742
title: Pre Survey

description: Pre survey results of individuals participating in our survey before research elective.
DOI: 10.5281/zenodo.7469741
title: Pre Survey

description: Pre survey results of individuals participating in our survey before research elective.
DOI: 10.25318/9810052601-eng
title: Languages used at work by mother tongue and industry: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on language used most often at work by other language(s) used regularly at work, mother tongue, industry - North American Industry Classification System (NAICS) 2017, labour force status and age for the population aged 15 years and over who worked since 2020, in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.
DOI: 10.5281/zenodo.7458476
title: Estimated densities of activity from: Characterising diel activity patterns to design conservation measures: Case study of European bat species

description: Estimated densities of activity calculated in <em>"Characterising diel activity patterns to design conservation measures: case study of European bat species"</em> (see Materials and Methods for more information on these calculations). The files named "<em>densitiyAllYear</em>" correspond to the estimated densities based on our entire dataset. The files named "<em>densitiySpring</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 1 March and 21 June. The files named "<em>densitiySummer</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 June and 21 August. The files named "<em>densitiyAutumn</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 August and 31 October. The first column of each file (<em>"PercentageNight"</em>) corresponds to the percentage of the night elapsed (0 % = sunset time, 100 % = sunrise time), the second to the estimated activity density (<em>"Density"</em>).
DOI: 10.5281/zenodo.7458475
title: Estimated densities of activity from: Characterising diel activity patterns to design conservation measures: Case study of European bat species

description: Estimated densities of activity calculated in <em>"Characterising diel activity patterns to design conservation measures: case study of European bat species"</em> (see Materials and Methods for more information on these calculations). The files named "<em>densitiyAllYear</em>" correspond to the estimated densities based on our entire dataset. The files named "<em>densitiySpring</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 1 March and 21 June. The files named "<em>densitiySummer</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 June and 21 August. The files named "<em>densitiyAutumn</em>" correspond to the estimated densities based on a subset of our dataset comprising only monitoring carried out between 22 August and 31 October. The first column of each file (<em>"PercentageNight"</em>) corresponds to the percentage of the night elapsed (0 % = sunset time, 100 % = sunrise time), the second to the estimated activity density (<em>"Density"</em>).
DOI: 10.5281/zenodo.7469753
title: Post Survey

description: Post survey results of individuals participating in our survey after research elective.
DOI: 10.5281/zenodo.7469752
title: Post Survey

description: Post survey results of individuals participating in our survey after research elective.
DOI: 10.25810/n3xc-9577.20
title: Finnish Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - November 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25318/9810052601-fra
title: Langues utilisées au travail selon la langue maternelle et l'industrie : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur la langue utilisée le plus souvent au travail selon les autres langues utilisées régulièrement au travail, la langue maternelle, l’industrie – Système de classification des industries de l’Amérique du Nord (SCIAN) 2017, la situation d'activité et l’âge de la population âgée de 15 ans et plus qui travaillait depuis 2020, dans des ménages privés du Canada, des provinces et des territoires, des régions métropolitaines de recensement et des agglomérations de recensement y compris les parties.
DOI: 10.3886/e182081v1-131416
title: A qualitative study of college students’ experiences using mobile apps to improve well-being during the COVID-19 pandemic

description: Students (N=265) completed a required ‘Self-Care Project’ for an upper division Psychopathology and Abnormal Psychology class in Fall 2020 and Spring 2021 delivered in a fully virtual, asynchronous format.Students were assigned a ‘Self-Care Project’ via Georgia State University's online education platform. The assignment was designed to support student well-being, a stated learning objective for the course. Students were instructed to develop a self-care goal and to use a mobile application (app) from a list of six to support progress on the self-care goal over the course of 3 weeks. Over the course of the 3-week project, students answered a standard set of open-ended questions about their self-care goals, app choice, overall project experience, and perspectives on self-care. This data set represents the answers of those students.
DOI: 10.5281/zenodo.7469775
title: Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles

description: The folder includes experimental data for the paper titled "Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles". In the paper, we present a Predictive Search Model (PSM) for flocking with Heading and Speed Shared (HSS) and Heading and Speed Unshared (HSU) prediction methods. We compare the performance of PSM with Potential Field Model (PFM) in the presence of static and dynamic obstacles in simulation. Also, we validate the performance of PSM with a quadcopter swarm indoors. The 'simulation experiments' folder includes simulation experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis. The 'quadcopter experiments' folder includes quadcopter experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis.
DOI: 10.5281/zenodo.7469774
title: Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles

description: The folder includes experimental data for the paper titled "Predictive Search Model of Flocking for Quadcopter Swarm in the Presence of Static and Dynamic Obstacles". In the paper, we present a Predictive Search Model (PSM) for flocking with Heading and Speed Shared (HSS) and Heading and Speed Unshared (HSU) prediction methods. We compare the performance of PSM with Potential Field Model (PFM) in the presence of static and dynamic obstacles in simulation. Also, we validate the performance of PSM with a quadcopter swarm indoors. The 'simulation experiments' folder includes simulation experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis. The 'quadcopter experiments' folder includes quadcopter experiment data and MATLAB scripts that can simulate the experiments and provide plots for analysis.
DOI: 10.15472/v1johg
title: Lista de fauna y flora presente en el humedal El Zancudal, departamento del Tolima

description: Los humedales sirven para mitigar los impactos generados por el ciclo hidrológico de una región y, paralelamente, proveen de hábitat a distintos organismos, incluyendo aquellas especies que recurren a la migración como estrategia adaptativa. Proveen de hábitat, alimento, refugio, y áreas de crianza y reproducción a un elevado número de especies de peces, aves, anfibios, reptiles, mamíferos e invertebrados. Son reconocidos por su alto nivel de endemismos, en particular de peces e invertebrados, por su fauna altamente especializada y por ser refugio de una gran diversidad de especies de aves migratorias. Los humedales tienen también un papel ecológico muy importante en el control de la erosión, la sedimentación y las inundaciones; en el abastecimiento y depuración del agua, y en el mantenimiento de pesquerías. En la actualidad estos sistemas han reducido su extensión considerablemente debido al drenado y relleno de sus áreas para diferentes usos (Aguilar, 2003).
description: En el departamento del Tolima se registran como los humedales más importantes 300 lagunas de cordillera, de origen glaciar, localizadas en la cordillera central en áreas de los Parques Nacionales Naturales y numerosas lagunas y sistemas de humedales en las zonas bajas. A pesar de esta variedad de humedales en el departamento del Tolima solo se han realizado evaluaciones iniciales de los humedales ubicados en el Parque Natural Nacional Los Nevados y en su área amortiguadora.
description: Teniendo en cuenta lo anterior y consciente de la importancia de los humedales, de la fauna y flora que los caracteriza, la Corporación Autónoma del Tolima CORTOLIMA y el Grupo de Investigación en Zoología (GIZ) de la Universidad del Tolima, han considerado muy relevante desarrollar el proyecto de estudio de diez humedales ubicados en las zonas bajas y altas del departamento del Tolima cuyo objetivo es la caracterización de la fauna y flora presente en ellos y generar la línea base para plantear el Plan de Manejo para su conservación.
description: En un esfuerzo de monitorear y documentar la biodiversidad presente en los humedales del Tolima, se muestreó la fauna y flora presente del humedal El Zancudal, localizado en el municipio de Ambalema. En total, se listan 95 taxones distribuidos en dos reinos: Animalia (70.52%) y Plantae (29.47%). Un 82.10% está clasificado a nivel de especie y 17.89% a género.
DOI: 10.15468/9t7pqh
title: Lista de fauna y flora presente en el humedal El Zancudal, departamento del Tolima

description: Los humedales sirven para mitigar los impactos generados por el ciclo hidrológico de una región y, paralelamente, proveen de hábitat a distintos organismos, incluyendo aquellas especies que recurren a la migración como estrategia adaptativa. Proveen de hábitat, alimento, refugio, y áreas de crianza y reproducción a un elevado número de especies de peces, aves, anfibios, reptiles, mamíferos e invertebrados. Son reconocidos por su alto nivel de endemismos, en particular de peces e invertebrados, por su fauna altamente especializada y por ser refugio de una gran diversidad de especies de aves migratorias. Los humedales tienen también un papel ecológico muy importante en el control de la erosión, la sedimentación y las inundaciones; en el abastecimiento y depuración del agua, y en el mantenimiento de pesquerías. En la actualidad estos sistemas han reducido su extensión considerablemente debido al drenado y relleno de sus áreas para diferentes usos (Aguilar, 2003). En el departamento del Tolima se registran como los humedales más importantes 300 lagunas de cordillera, de origen glaciar, localizadas en la cordillera central en áreas de los Parques Nacionales Naturales y numerosas lagunas y sistemas de humedales en las zonas bajas. A pesar de esta variedad de humedales en el departamento del Tolima solo se han realizado evaluaciones iniciales de los humedales ubicados en el Parque Natural Nacional Los Nevados y en su área amortiguadora. Teniendo en cuenta lo anterior y consciente de la importancia de los humedales, de la fauna y flora que los caracteriza, la Corporación Autónoma del Tolima CORTOLIMA y el Grupo de Investigación en Zoología (GIZ) de la Universidad del Tolima, han considerado muy relevante desarrollar el proyecto de estudio de diez humedales ubicados en las zonas bajas y altas del departamento del Tolima cuyo objetivo es la caracterización de la fauna y flora presente en ellos y generar la línea base para plantear el Plan de Manejo para su conservación. En un esfuerzo de monitorear y documentar la biodiversidad presente en los humedales del Tolima, se muestreó la fauna y flora presente del humedal El Zancudal, localizado en el municipio de Ambalema. En total, se listan 95 taxones distribuidos en dos reinos: Animalia (70.52%) y Plantae (29.47%). Un 82.10% está clasificado a nivel de especie y 17.89% a género.
DOI: 10.6084/m9.figshare.21717824.v3
title: Self-supervised learning of materials concepts from crystal structures via deep neural networks

description: Supplementary materials for "Self-supervised learning of materials concepts from crystal structures via deep neural networks Paper GitHub <br> This repository contains the following: pretrained model embeddings of Materials Project data using our model dataset (train, val, test, all=train+val+test)
DOI: 10.5281/zenodo.7469671
title: Long-term atmospheric precipitation monitoring in Hornsund region (Fuglebekken) - raw data

description: Since 2004, snow and rain samples have been collected in the Fuglebekken catchment in close vicinity of the Polish Polar Station Hornsund. The rain and snow samples are collected after every event. The pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical laboratory. The rain gauge is checked approximately once a day. Presented data from 2016 to 2022 The data has not been checked, which means that it is raw data.
description: The data presented were collected as part of the environmental monitoring programme conducted by the Polish Polar Station Hornsund (Spitsbergen) and the Institute of Geophysics of the Polish Academy of Sciences. Owner name: Institute of Geophysics, Polish Academy of Sciences Owner PIC (Participant Identification Code): 996625337 Owner address: Ksiecia Janusza 64, 01-452 Warszawa, Poland Dataset PI: Adam Nawrot; anawrot@igf.edu.pl
DOI: 10.5281/zenodo.7469670
title: Long-term atmospheric precipitation monitoring in Hornsund region (Fuglebekken) - raw data

description: Since 2004, snow and rain samples have been collected in the Fuglebekken catchment in close vicinity of the Polish Polar Station Hornsund. The rain and snow samples are collected after every event. The pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical laboratory. The rain gauge is checked approximately once a day. Presented data from 2016 to 2022 The data has not been checked, which means that it is raw data.
description: The data presented were collected as part of the environmental monitoring programme conducted by the Polish Polar Station Hornsund (Spitsbergen) and the Institute of Geophysics of the Polish Academy of Sciences. Owner name: Institute of Geophysics, Polish Academy of Sciences Owner PIC (Participant Identification Code): 996625337 Owner address: Ksiecia Janusza 64, 01-452 Warszawa, Poland Dataset PI: Adam Nawrot; anawrot@igf.edu.pl
DOI: 10.5281/zenodo.6637825
title: MALDI MS Data and Metadata from "A biological reading of a palimpsest"

description: Spectra in mzML format along with the metadata associated with it. The file names follow the following format UoCXX_Y.mzML, where UoCXX is the sample name and Y is the replicate number (1, 2 or 3) uoc_metadata.csv file that was used in the analysis and an e extended_metadata.xlsx contains extended metadata with the results of the visual analysis of the parchment.
DOI: 10.5281/zenodo.6637824
title: MALDI MS Data and Metadata from "A biological reading of a palimpsest"

description: Spectra in mzML format along with the metadata associated with it: The mzML file names follow the following format UoCXX_Y.mzML, where UoCXX is the sample name and Y is the replicate number (1, 2 or 3) uoc_metadata.csv file contains species, book and quire number associated with each spectra file. It is used in the data analysis in doi.org/10.5281/zenodo.7406297 Dataset S1.xlsx contains extended metadata with the results of the visual analysis of the parchment.
DOI: 10.5281/zenodo.6967158
title: MALDI MS Data and Metadata from "A biological reading of a palimpsest"

description: Spectra in mzML format along with the metadata associated with it. The mzML file names follow the following format UoCXX_Y.mzML, where UoCXX is the sample name and Y is the replicate number (1, 2 or 3) uoc_metadata.csv file contains species, book and quire number associated with each spectra file. It was used in the data analysis in doi.org/10.5281/zenodo.7406297 extended_metadata.xlsx contains extended metadata with the results of the visual analysis of the parchment.
DOI: 10.5281/zenodo.7469803
title: MALDI MS Data and Metadata from "A biological reading of a palimpsest"

description: Spectra in mzML format along with the metadata associated with it: The mzML file names follow the following format UoCXX_Y.mzML, where UoCXX is the sample name and Y is the replicate number (1, 2 or 3) uoc_metadata.csv file contains species, book and quire number associated with each spectra file. It is used in the data analysis in doi.org/10.5281/zenodo.7406297 Dataset S1.xlsx contains extended metadata with the results of the visual analysis of the parchment.
DOI: 10.5281/zenodo.7468141
title: finals_2022_1

description: Log and boot files of game 1
DOI: 10.5281/zenodo.7468140
title: finals_2022_1

description: Log and boot files of game 1
DOI: 10.5281/zenodo.7468143
title: finals_2022_2

description: Log and boot files of game 2
DOI: 10.5281/zenodo.7468142
title: finals_2022_2

description: Log and boot files of game 2
DOI: 10.5281/zenodo.7468147
title: finals_2022_3

description: Log and boot files of game 3
DOI: 10.5281/zenodo.7468146
title: finals_2022_3

description: Log and boot files of game 3
DOI: 10.5281/zenodo.7468155
title: finals_2022_4

description: Log and boot files of game 4
DOI: 10.5281/zenodo.7468154
title: finals_2022_4

description: Log and boot files of game 4
DOI: 10.5281/zenodo.7468157
title: finals_2022_5

description: Log and boot files of game 5
DOI: 10.5281/zenodo.7468156
title: finals_2022_5

description: Log and boot files of game 5
DOI: 10.5281/zenodo.7468161
title: finals_2022_6

description: Log and boot files of game 6
DOI: 10.5281/zenodo.7468160
title: finals_2022_6

description: Log and boot files of game 6
DOI: 10.5281/zenodo.7468167
title: finals_2022_7

description: Log and boot files of game 7
DOI: 10.5281/zenodo.7468166
title: finals_2022_7

description: Log and boot files of game 7
DOI: 10.5281/zenodo.7468171
title: finals_2022_8

description: Log and boot files of game 8
DOI: 10.5281/zenodo.7468170
title: finals_2022_8

description: Log and boot files of game 8
DOI: 10.5281/zenodo.7468173
title: finals_2022_9

description: Log and boot files of game 9
DOI: 10.5281/zenodo.7468172
title: finals_2022_9

description: Log and boot files of game 9
DOI: 10.5281/zenodo.7468177
title: finals_2022_10

description: Log and boot files of game 10
DOI: 10.5281/zenodo.7468176
title: finals_2022_10

description: Log and boot files of game 10
DOI: 10.5281/zenodo.7468183
title: finals_2022_11

description: Log and boot files of game 11
DOI: 10.5281/zenodo.7468182
title: finals_2022_11

description: Log and boot files of game 11
DOI: 10.5517/ccdc.csd.cc29jlbs
title: CCDC 2131105: Experimental Crystal Structure Determination

description: Related Article: Eugenia Miguel-Casañ, Mohanad D. Darawsheh, Víctor Fariña-Torres, Iñigo J. Vitórica-Yrezábal, Eduardo Andres-Garcia, Martín Fañanás-Mastral, Guillermo Mínguez Espallargas|2023|Chemical Science|14|179|doi:10.1039/D2SC05192C
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.7468185
title: finals_2022_12

description: Log and boot files of game 12
DOI: 10.5281/zenodo.7468184
title: finals_2022_12

description: Log and boot files of game 12
DOI: 10.5281/zenodo.7468189
title: finals_2022_13

description: Log and boot files of game 13
DOI: 10.5517/ccdc.csd.cc2bhxtl
title: CCDC 2160260: Experimental Crystal Structure Determination

description: Related Article: Manik Shit, Dipankar Sahoo, Basudeb Dutta, Salah El Fallah, Adwaita Kundu, Nabin Baran Manik, Chittaranjan Sinha|2022|Cryst.Growth Des.|22|7143|doi:10.1021/acs.cgd.2c00817
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.7468188
title: finals_2022_13

description: Log and boot files of game 13
DOI: 10.25505/fiz.icsd.cc2bk086
title: CSD 2161297: Experimental Crystal Structure Determination

description: Related Article: Volodymyr Levytskyi, Eteri Svanidze, Andreas Leithe-Jasper, Roman Gumeniuk|2022|J.Alloys Compd.|911|165017|doi:10.1016/j.jallcom.2022.165017
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.cc2bk097
title: CSD 2161298: Experimental Crystal Structure Determination

description: Related Article: Volodymyr Levytskyi, Eteri Svanidze, Andreas Leithe-Jasper, Roman Gumeniuk|2022|J.Alloys Compd.|911|165017|doi:10.1016/j.jallcom.2022.165017
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: 10.5281/zenodo.7468193
title: finals_2022_14

description: Log and boot files of game 14
DOI: 10.5281/zenodo.7468192
title: finals_2022_14

description: Log and boot files of game 14
DOI: 10.5517/ccdc.csd.cc2bjsg4
title: CCDC 2161086: Experimental Crystal Structure Determination

description: Related Article: Ebube E. Oyeka, Thao T. Tran|2022|ACS Org. Inorg. Au|2|502|doi:10.1021/acsorginorgau.2c00031
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.7468197
title: finals_2022_15

description: Log and boot files of game 15
DOI: 10.5281/zenodo.7468196
title: finals_2022_15

description: Log and boot files of game 15
DOI: 10.5281/zenodo.7468203
title: finals_2022_16

description: Log and boot files of game 16
DOI: 10.5281/zenodo.7468202
title: finals_2022_16

description: Log and boot files of game 16
DOI: 10.5281/zenodo.7468213
title: finals_2022_17

description: Log and boot files of game 17