cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.359354
title: Water temperature real-time profiles from cruise NMOB90 (SCQC)

description: SCQC=quality controlled by Science Center. For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.787675
title: (Table T6) Effective stress and porosity measurements of ODP Sample 174A-1073A-41X-5,97-103

description: Sediment depth is given in mbsf. Diameter was originally given as radius and was converted by multiplying by 2.
DOI: 10.1594/pangaea.322776
title: Water temperature real-time profiles from cruise 6287500 (DCQC)

description: For definition of quality flags see hdl:10013/epic.31518.d001
DOI: 10.1594/pangaea.79351
title: Sediment community oxygen consumption at NPac_F_152
DOI: 10.1594/pangaea.689112
title: Radiosonde M2_R143 during METEOR cruise M2 on 1965-09-28 19:51h

description: Height of tropause 15750 m; Data processing by Wolfgang Gloeden, Maritime Klimaüberwachung (KU24), Deutscher Wetterdienst, http://www.dwd.de
DOI: 10.1594/pangaea.689113
title: Radiosonde M2_R144 during METEOR cruise M2 on 1965-09-28 22:58h

description: Height of tropause 15880 m; Data processing by Wolfgang Gloeden, Maritime Klimaüberwachung (KU24), Deutscher Wetterdienst, http://www.dwd.de
DOI: 10.1594/pangaea.79353
title: Sediment community oxygen consumption at NPac_G_109
DOI: 10.1594/pangaea.112017
title: Basic hydrographic, nutrient and carbon/nitrogen chemistries at station AT_II-119/5_50-4
DOI: 10.1594/pangaea.689114
title: Radiosonde M2_R145 during METEOR cruise M2 on 1965-09-29 01:56h

description: Height of tropause 16240 m; Data processing by Wolfgang Gloeden, Maritime Klimaüberwachung (KU24), Deutscher Wetterdienst, http://www.dwd.de
DOI: 10.15468/dl.qdsq57
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dracaena reflexa",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033300-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jeeh7
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dracaena reflexa",
 "Country is Seychelles",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033301-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jbjgp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dracaena reflexa",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033299-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20366/unimib/unidata/sn223-1.0
title: The Mitigating Role of Digital Communication Technologies on Negative Affect During the COVID-19 Outbreak in Italy (2020)
title: Il ruolo delle tecnologie digitali di comunicazione nella riduzione degli stati d’animo negativi durante la pandemia di Covid-19 in Italia (2020)

description: Data refer to a study concerning the rule and the impact of digital communication technologies during the COVID-19 outbreak. The pandemic of COVID-19 has forced governments to impose restrictions (lockdown), and many people have suddenly found themselves having to reduce their social relations drastically and, therefore, to increase the use of digital communication technology.<br> The study investigates how the increasing use of this technology for virtual meetings (i.e., voice and video calls, online board games and multiplayer video games, or watching movies in party mode) during the lockdown promoted the perception of social support, which in itself mitigated the psychological effects of the lockdown in Italy.<br> Data were collected through a web survey during the lockdown imposed to reduce the COVID-19 spread. By adopting a snowball sampling technique, the participants were recruited through social media and instant messaging systems, by sending them a link to the web survey, and by asking them to forward the link to their contacts.<br> The questionnaire included questions about the amount of the use of technology during and before the lockdown, asking the participants to report how many times a week they had used different tools to stay connected for leisure or work/school activities. The emotional state of the participants during the lockdown was assessed through the use of measures of loneliness, boredom, anxiety, anger, irritability and belongingness.<br>
description: Analysis Unit: individual<br>Universe: residents in Italy aged 18 and over<br>Sample Procedure: 465 individuals. Convenience sampling. For further information see the attached documentation<br>Weight: No weight used<br>Collection Mode: web-based self-administered questionnaire (CAWI)
DOI: 10.5281/zenodo.16630060
title: Dataset to evaluate BCubed (Blockchain-based Black Box) and ACOLYTE (dAta Curation fOr traceabiLity sYsTEm)

description: This dataset has been specifically designed to evaluate the performance and effectiveness of BCubed (Blockchain-based Black Box) and ACOLYTE (dAta Curation fOr traceabiLity sYsTEm) in ensuring traceability and accountability in autonomous service robots. The data was collected by executing the Robot Inspection Task of the RoboCup@Home competition, using a ROS 2-based service robot.

The dataset is composed of four different test scenarios, each of which has been executed three times to ensure consistency and variability analysis.

Test Scenarios



Test Base: Baseline execution of the Robot Inspection. ACOLYTE disable. 

Test 1: Normal execution. ACOLYTE is enabled. 

Test 2: Execution with a USB speaker disconnection, preventing the robot from producing speech. ACOLYTE is enabled.

Test 3: Execution under a Denial-of-Service (DoS) attack targeting the LiDAR sensor, resulting in degraded navigation and a collision with a person. ACOLYTE is enabled.


Data Contents

Each test scenario contains:



A ROS bag file (.mcap) that contains time-stamped ROS 2 messages recorded during each run, capturing sensor data (e.g., LiDAR, cameras), robot pose and actuator commands.

A CSV file containing system performance metrics (e.g., CPU usage, memory usage, I/O network statistics) recorded during the task.


Tests involving the accountability system (Test 1, 2 and 3) also include:



The logs from the retrieval of records by ACOLYTE.


GitHub



ACOLYTE: https://github.com/uleroboticsgroup/ACOLYTE

BCubed: https://github.com/uleroboticsgroup/BCubed


Acknowledgements

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.5281/zenodo.16630061
title: Dataset to evaluate BCubed (Blockchain-based Black Box) and ACOLYTE (dAta Curation fOr traceabiLity sYsTEm)

description: This dataset has been specifically designed to evaluate the performance and effectiveness of BCubed (Blockchain-based Black Box) and ACOLYTE (dAta Curation fOr traceabiLity sYsTEm) in ensuring traceability and accountability in autonomous service robots. The data was collected by executing the Robot Inspection Task of the RoboCup@Home competition, using a ROS 2-based service robot.

The dataset is composed of four different test scenarios, each of which has been executed three times to ensure consistency and variability analysis.

Test Scenarios



Test Base: Baseline execution of the Robot Inspection. ACOLYTE disable. 

Test 1: Normal execution. ACOLYTE is enabled. 

Test 2: Execution with a USB speaker disconnection, preventing the robot from producing speech. ACOLYTE is enabled.

Test 3: Execution under a Denial-of-Service (DoS) attack targeting the LiDAR sensor, resulting in degraded navigation and a collision with a person. ACOLYTE is enabled.


Data Contents

Each test scenario contains:



A ROS bag file (.mcap) that contains time-stamped ROS 2 messages recorded during each run, capturing sensor data (e.g., LiDAR, cameras), robot pose and actuator commands.

A CSV file containing system performance metrics (e.g., CPU usage, memory usage, I/O network statistics) recorded during the task.


Tests involving the accountability system (Test 1, 2 and 3) also include:



The logs from the retrieval of records by ACOLYTE.


GitHub



ACOLYTE: https://github.com/uleroboticsgroup/ACOLYTE

BCubed: https://github.com/uleroboticsgroup/BCubed


Acknowledgements

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.15468/dl.6ymr4c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synoicus adansonii",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033303-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17224475
title: grassland sandification
DOI: 10.5281/zenodo.17224474
title: grassland sandification
DOI: 10.5281/zenodo.17229279
title: EU & EEA Survey on Privacy Policy Awareness in Internet of Things

description: This dataset contains anonymized responses from 510 participants across the EU, EEA, and Switzerland, recruited via the Prolific platform in 2025. The study explores user awareness, comprehension, behaviors, and attitudes toward privacy policies associated with Internet of Things (IoT) devices. The survey includes measures of:





Awareness - knowledge of presence of privacy policies.




Comprehension - level of understanding of various terms regarding data collection, data use, retention, and sharing.




Privacy behaviors -  adjusting settings, purchase decisions.




Attitudes and concerns - comfort with data processing, trust level, privacy-functionality trade-offs.




Preferences - presentation of privacy choices, willingness to share personal data under various conditions.



The dataset supports quantitative research on privacy policy usability, the privacy paradox, user trust, and privacy control, and can be used for secondary analysis and teaching.

 

NOTE: Demographic data is not included in this version of dataset.
DOI: 10.5281/zenodo.17229280
title: EU & EEA Survey on Privacy Policy Awareness in Internet of Things

description: This dataset contains anonymized responses from 510 participants across the EU, EEA, and Switzerland, recruited via the Prolific platform in 2025. The study explores user awareness, comprehension, behaviors, and attitudes toward privacy policies associated with Internet of Things (IoT) devices. The survey includes measures of:





Awareness - knowledge of presence of privacy policies.




Comprehension - level of understanding of various terms regarding data collection, data use, retention, and sharing.




Privacy behaviors -  adjusting settings, purchase decisions.




Attitudes and concerns - comfort with data processing, trust level, privacy-functionality trade-offs.




Preferences - presentation of privacy choices, willingness to share personal data under various conditions.



The dataset supports quantitative research on privacy policy usability, the privacy paradox, user trust, and privacy control, and can be used for secondary analysis and teaching.

 

NOTE: Demographic data is not included in this version of dataset.
DOI: 10.5281/zenodo.10896140
title: Navigation Test in Simulated Environment Rosbag. Human obstacle detection.

description: This repository contains rosbags (ROS 2 Humble) extracted from a navigation test realized in a simulated environment (Amazon Hospital map) with an RB1 robot. The test consist of a navigation form one point to another with a human obstacle avoidance.

 

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.5281/zenodo.10896141
title: Navigation Test in Simulated Environment Rosbag. Human obstacle detection.

description: This repository contains rosbags (ROS 2 Humble) extracted from a navigation test realized in a simulated environment (Amazon Hospital map) with an RB1 robot. The test consist of a navigation form one point to another with a human obstacle avoidance.

 

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.5281/zenodo.10518774
title: Navigation Benchmark Rosbags Inspired by ERL Competition Test

description: This repository contains rosbags (ROS 2 Humble) extracted from a replication of a Navigation Benchmark test of the European Robotics League (ERL). The tests were executed in a certified testbed and include five separate executions:



Complete navigation without obstacles.2. Navigation with small obstacles.3. Navigation with large obstacles.4. Navigation with route lock.5. Navigation with route lock, and no replanningpossible.


 

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.5281/zenodo.10518775
title: Navigation Benchmark Rosbags Inspired by ERL Competition Test

description: This repository contains rosbags (ROS 2 Humble) extracted from a replication of a Navigation Benchmark test of the European Robotics League (ERL). The tests were executed in a certified testbed and include five separate executions:



Complete navigation without obstacles.2. Navigation with small obstacles.3. Navigation with large obstacles.4. Navigation with route lock.5. Navigation with route lock, and no replanningpossible.


 

This research is part of the project TESCAC, financed by “European Union NextGeneration-EU, the Recovery Plan, Transformation and Resilience, through INCIBE".
DOI: 10.6084/m9.figshare.29468921
title: Forest–water interactions: a multilingual perspective through six historical vignettes

description: The topic of forest–water interactions has a lengthy and fascinating history. Yet historical work in many languages remains unknown to most researchers. Using the primary literature in French, German, Czech, Japanese, Russian, and Turkish, this paper examines the pretext and describes notable examples of forest–water interactions research in each of the above six languages through historical vignettes that are of relevance today. For example, the French vignette focuses on the search for the hydrological role of forests, while the Russian vignette conveys an interesting example of phytoremediation and the role of evapotranspiration in decreasing malaria risk. In conjunction with a timeline for historical context, along with the identification of some seminal papers, these vignettes convey the important hydrological work of these earlier researchers, bringing some largely unrecognized work to light, thereby illuminating the historical scientific development of forest–water interactions and giving rightful credit to those pioneers who conducted the work.
DOI: 10.6084/m9.figshare.29468921.v1
title: Forest–water interactions: a multilingual perspective through six historical vignettes

description: The topic of forest–water interactions has a lengthy and fascinating history. Yet historical work in many languages remains unknown to most researchers. Using the primary literature in French, German, Czech, Japanese, Russian, and Turkish, this paper examines the pretext and describes notable examples of forest–water interactions research in each of the above six languages through historical vignettes that are of relevance today. For example, the French vignette focuses on the search for the hydrological role of forests, while the Russian vignette conveys an interesting example of phytoremediation and the role of evapotranspiration in decreasing malaria risk. In conjunction with a timeline for historical context, along with the identification of some seminal papers, these vignettes convey the important hydrological work of these earlier researchers, bringing some largely unrecognized work to light, thereby illuminating the historical scientific development of forest–water interactions and giving rightful credit to those pioneers who conducted the work.
DOI: 10.5281/zenodo.17234926
title: JSLDY
DOI: 10.5281/zenodo.17234927
title: JSLDY
DOI: 10.5281/zenodo.17233370
title: Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry

description: Supporting data of the peer-reviewed paper "Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry" Accepted for publication in Astronomy and Astrophysics (A&A). For the purpose of open access, the authors have applied a CC BY licence to the author accepted manuscript version: https://arxiv.org/abs/2509.09635.

The spectroscopic data used in this work were collected with the ESPRESSO spectrograph at the European Southern Observatory in Paranal, Chile, under ESO programme 113.26B9 (PI Bowman). The spectra are publicly accessible through the ESO archive: https://www.eso.org/sso/login. The TESS data used in this work can be accessed through the MAST data archive: https://mast.stsci.edu/portal/Mashup/Clients/Mast/Portal.html.

This work was supported by the UK Research and Innovation (UKRI) in the form of a Frontier Research grant under the UK government’s ERC Horizon Europe funding guarantee (SYMPHONY; PI Bowman; grant number: EP/Y031059/1), and a Royal Society University Research Fellowship (PI Bowman; grant number: URF\R1\231631). The research leading to these results has received funding from “La Caixa” Foundation (ID 100010434) under the fellowship code LCF/BQ/PI23/11970035 and the Spanish Ministry of Science and Innovation (MICIN) and the European Regional Development Fund, FEDER under grants LOS MÚLTIPLES CANALES DE EVOLUCIÓN TEMPRANA DE LAS ESTRELLAS MASIVAS PID2021-122397NB-C2.
DOI: 10.5281/zenodo.17233369
title: Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry

description: Supporting data of the peer-reviewed paper "Large-scale variability in macroturbulence driven by pulsations in the rapidly rotating massive star ζ Oph from high-cadence ESPRESSO spectroscopy and TESS photometry" Accepted for publication in Astronomy and Astrophysics (A&A). For the purpose of open access, the authors have applied a CC BY licence to the author accepted manuscript version: https://arxiv.org/abs/2509.09635.

The spectroscopic data used in this work were collected with the ESPRESSO spectrograph at the European Southern Observatory in Paranal, Chile, under ESO programme 113.26B9 (PI Bowman). The spectra are publicly accessible through the ESO archive: https://www.eso.org/sso/login. The TESS data used in this work can be accessed through the MAST data archive: https://mast.stsci.edu/portal/Mashup/Clients/Mast/Portal.html.

This work was supported by the UK Research and Innovation (UKRI) in the form of a Frontier Research grant under the UK government’s ERC Horizon Europe funding guarantee (SYMPHONY; PI Bowman; grant number: EP/Y031059/1), and a Royal Society University Research Fellowship (PI Bowman; grant number: URF\R1\231631). The research leading to these results has received funding from “La Caixa” Foundation (ID 100010434) under the fellowship code LCF/BQ/PI23/11970035 and the Spanish Ministry of Science and Innovation (MICIN) and the European Regional Development Fund, FEDER under grants LOS MÚLTIPLES CANALES DE EVOLUCIÓN TEMPRANA DE LAS ESTRELLAS MASIVAS PID2021-122397NB-C2.
DOI: 10.15468/dl.tamn3q
title: Occurrence Download

description: A dataset containing 898192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus glutinosa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 898192 records from 2547 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033285-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.ccthzr0
title: CCDC 760143: Experimental Crystal Structure Determination

description: Related Article: Bojidarka Ivanova, Michael Spiteller|2014|J.Food Measur.Character.|8|15|doi:10.1007/s11694-013-9161-4
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccthzs1
title: CCDC 760144: Experimental Crystal Structure Determination

description: Related Article: Bojidarka Ivanova, Michael Spiteller|2014|J.Food Measur.Character.|8|15|doi:10.1007/s11694-013-9161-4
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccthzmw
title: CCDC 760139: Experimental Crystal Structure Determination

description: Related Article: B.Ivanova,M.Spiteller|2013|J.Mol.Struct.|1036|226|doi:10.1016/j.molstruc.2012.11.018
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccthzlv
title: CCDC 760138: Experimental Crystal Structure Determination

description: Related Article: B.B.Ivanova, M.Spiteller|2012|Analytical Methods|4|2247|doi:10.1039/C2AY25090J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccthys0
title: CCDC 760113: Experimental Crystal Structure Determination

description: Related Article: Lili Wu,Huihua Song,Rong He,Haitao Yu|2013|Inorg.Chim.Acta|399|6|doi:10.1016/j.ica.2012.12.031
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.