cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yd873nzztp.1
title: Learner Autonomy, Collaboration, and Identity in Open and Distance Education: Extended Interview Dataset

description: This dataset contains anonymised, extended interview transcripts collected as part of a qualitative case study examining learner autonomy, networked collaboration, critical dialogue, and digital identity in open and distance education. The data were generated through semi-structured interviews with 22 adult learners from diverse academic and professional backgrounds, including journalism, public administration, communication studies, language education, social sciences, and creative industries.

The dataset presents rich, narrative-style responses that reflect learners’ experiences with self-directed learning practices, peer collaboration, subversive engagement, and community-based identity construction. Each participant file includes detailed accounts of learning motivations, strategies of autonomy, experiences with digital platforms, perceptions of authority in educational environments, and reflections on belonging within online communities. These extended narratives support thematic, inductive, or deductive qualitative analysis and can be used for coding at multiple levels (open, axial, and selective).

All data have been fully anonymised. No identifiable personal information is included beyond the demographic characteristics listed in the manuscript (degree field, gender identity, and profession). Ethical approval for data collection was granted by Gebze Technical University Social Sciences and Humanities Ethics Committee (Protocol No: 2025/11-06). Participants provided informed consent for anonymised data use in academic publications.

This dataset may be used for research on open education, critical pedagogy, learner agency, digital communities, and subcultural or DIY-inspired learning practices.
DOI: 10.17632/czsf8899jm.1
title: Dataset of “Determinants and forecasting of corporate greenwashing behavior”: Corporate greenwashing accusations

description: This dataset accompanies the paper: Jens Eckberg, Gregor Dorfleitner, Manuel C. Kathan, Sebastian Utz; Determinants and forecasting of corporate greenwashing behavior, Journal of Economic Behavior & Organization, Volume 241, 2026, 107354, ISSN 0167-2681, https://doi.org/10.1016/j.jebo.2025.107354

The dataset comprises a list of third-party accusations of greenwashing against STOXX Europe 600 companies, published in the media and on social media platforms, between 2011 and 2023. These accusations were manually collected and the severity of the accusations was assessed by humans based on a predefined framework. The authors raised no accusations; the dataset solely evaluates and codes greenwashing accusations made publicly available by external sources. Each third-party accusation was assessed for its severity. The variable “GW_SCORE” captures this assessment on a scale from 0 (no greenwashing) to 1 (greenwashing). A detailed description of the construction, coding procedure, and validation of the greenwashing severity score is provided in the paper. 

The dataset includes a standard company identifier, specifically GVKEY (Compustat), to facilitate matching with other databases. It is structured as a panel dataset with annual observations for the period 2011–2023. The dataset also contains the column “USED_FOR_ANALYSIS”, which indicates True if a given company-year score was included in the empirical analyses of the paper, and False if it was not. 

Please cite the following studies when using the dataset, as they provide the rationale for its development.

Eckberg, J., Dorfleitner, G., Kathan, M. C., & Utz, S. (2026). Determinants and forecasting of corporate greenwashing behavior. Journal of Economic Behavior & Organization, 241, 107354. https://doi.org/10.1016/j.jebo.2025.107354

Kathan, M. C., Utz, S., Dorfleitner, G., Eckberg, J., & Chmel, L. (2025). What you see is not what you get: ESG scores and greenwashing risk. Finance Research Letters, 74, 106710. https://doi.org/10.1016/j.frl.2024.106710
DOI: 10.17632/jz3mmbtnc8
title: Over half of N₂O is emitted via ebullitions in a shallow eutrophic lake

description: This dataset comprises dissolved N₂O concentrations, diffusive fluxes, ebullitive fluxes, and associated water quality parameters from Lake Ulansuhai, a shallow eutrophic lake. Sampling was conducted monthly from May to October 2021 across seven sites. The current version provides complete spatiotemporal coverage and includes newly added sediment data.
DOI: 10.17632/jz3mmbtnc8.1
title: Over half of N₂O is emitted via ebullitions in a shallow eutrophic lake

description: This dataset comprises dissolved N₂O concentrations, diffusive fluxes, ebullitive fluxes, and associated water quality parameters from Lake Ulansuhai, a shallow eutrophic lake. Sampling was conducted monthly from May to October 2021 across seven sites. The current version provides complete spatiotemporal coverage and includes newly added sediment data.
DOI: 10.17632/cym29rnzmg
title: BLS Employment Projections (2021) and O*NET Attributes Nuclear Core Occupations (2021)

description: BLS employment projections for occupations in NAICS 221113 (2021) and O*NET attributes for 9 core occupations in nuclear industry (2021)
DOI: 10.17632/cym29rnzmg.1
title: BLS Employment Projections (2021) and O*NET Attributes Nuclear Core Occupations (2021)

description: BLS employment projections for occupations in NAICS 221113 (2021) and O*NET attributes for 9 core occupations in nuclear industry (2021)
DOI: 10.17632/9vzhz97m5j
title: Global Soil Water Stable Isotope Dataset

description: The soil water stable isotope dataset comprises three components: web-based data, measured data, and reference data. The web-based data are sourced primarily from public isotope platforms and shared databases; the measured data come from long-term observations in representative basins of the arid region in Northwest China; and the reference data are systematically compiled from peer-reviewed literature and supplementary materials from both domestic and international sources. The dataset includes 463 soil water sampling sites across six continents, covering the period 1975–2024. Since 2015, we have established and operated an ecohydrological observation system in representative basins of Northwest China (e.g., the Shiyang River Basin) to continuously collect soil water δ2H and δ18O data, which serve as a key source of measured data for this dataset.
DOI: 10.17632/9vzhz97m5j.2
title: Global Soil Water Stable Isotope Dataset

description: The soil water stable isotope dataset comprises three components: web-based data, measured data, and reference data. The web-based data are sourced primarily from public isotope platforms and shared databases; the measured data come from long-term observations in representative basins of the arid region in Northwest China; and the reference data are systematically compiled from peer-reviewed literature and supplementary materials from both domestic and international sources. The dataset includes 463 soil water sampling sites across six continents, covering the period 1975–2024. Since 2015, we have established and operated an ecohydrological observation system in representative basins of Northwest China (e.g., the Shiyang River Basin) to continuously collect soil water δ2H and δ18O data, which serve as a key source of measured data for this dataset.
DOI: 10.15468/dl.6qmyah
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sigmodon alleni",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 344 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037307-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nk84q6
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037308-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsxd9d
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alentiana aurantiaca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037309-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tc4s8d4dr3
title: Erodibility parameters of tidal creek bank soils influenced by salt marsh vegetation roots derived from jet erosion tests in the Yellow River Delta, China

description: Soil properties and root traits of SS and PA root-soil composites of tidal creek banks in Yellow River Delta
DOI: 10.17632/tc4s8d4dr3.1
title: Erodibility parameters of tidal creek bank soils influenced by salt marsh vegetation roots derived from jet erosion tests in the Yellow River Delta, China

description: Soil properties and root traits of SS and PA root-soil composites of tidal creek banks in Yellow River Delta
DOI: 10.15468/dl.ha69hc
title: Occurrence Download

description: A dataset containing 128403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 19.085278",
 "DecimalLatitude is less than or equal to 24.085278",
 "DecimalLongitude is greater than or equal to 105.0",
 "DecimalLongitude is less than or equal to 110.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 128403 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037271-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mkfwyhmxgm
title: ISCIENCE-D-25-15141R1
DOI: 10.17632/mkfwyhmxgm.1
title: ISCIENCE-D-25-15141R1
DOI: 10.17632/jbknff2kpv
title: Phenotypic Data of Arugula (Eruca sativa Mill.) Accessions Provided by the IPK Genebank

description: This Excel file contains all 68 phenotypic traits measured at various growth stages for each of the 16 arugula accessions obtained from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) genebank. The IPK genebank has also requested that this dataset be deposited in a public repository for long-term access and citation.
DOI: 10.17632/jbknff2kpv.1
title: Phenotypic Data of Arugula (Eruca sativa Mill.) Accessions Provided by the IPK Genebank

description: This Excel file contains all 68 phenotypic traits measured at various growth stages for each of the 16 arugula accessions obtained from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) genebank. The IPK genebank has also requested that this dataset be deposited in a public repository for long-term access and citation.
DOI: 10.15468/dl.x8z9qm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.597 -1.143818, 112.526723 -1.149384, 112.458175 -1.165945, 112.393044 -1.193094, 112.332933 -1.230161, 112.279321 -1.276236, 112.233528 -1.330184, 112.196681 -1.390676, 112.169689 -1.456225, 112.153216 -1.525216, 112.147669 -1.595951, 112.153186 -1.666688, 112.169631 -1.735686, 112.196602 -1.801245, 112.233434 -1.861751, 112.279223 -1.915714, 112.33284 -1.961803, 112.392965 -1.998885, 112.458118 -2.026044, 112.526693 -2.042612, 112.597 -2.04818, 112.667307 -2.042612, 112.735882 -2.026044, 112.801035 -1.998885, 112.86116 -1.961803, 112.914777 -1.915714, 112.960566 -1.861751, 112.997398 -1.801245, 113.024369 -1.735686, 113.040814 -1.666688, 113.046331 -1.595951, 113.040784 -1.525216, 113.024311 -1.456225, 112.997319 -1.390676, 112.960472 -1.330184, 112.914679 -1.276236, 112.861067 -1.230161, 112.800956 -1.193094, 112.735825 -1.165945, 112.667277 -1.149384, 112.597 -1.143818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037310-251120083545085/datasets/export for details.
DOI: 10.17632/h39f9t7fjg
title: A dataset of detailed 3-dimensional surface geometry, optical properties of Scots pine and Norway spruce shoots

description: The dataset provides 3-dimensional structural and optical information for 27 shoots of two conifer species common to both study locations — Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) — with three shoots collected per species and crown position. The data include high-resolution 3D surface models, photos of each sampled shoot, and the optical properties of needles and twigs.

High-resolution 3D point cloud representations of the shoots were obtained using a blue-light 3D photogrammetry scanning technique. Reflectance and transmittance measurements of needles and twigs were acquired with a spectroradiometer coupled to an integrating sphere. For each sample, the dataset contains:
 1. Reconstructed 3-dimensional surface geometry model (.OBJ) 
 2. Photo of the sampled shoot (.JPG)
 3. Optical property data of needles and twigs, including hemispherical–conical reflectance (HCRF) and transmittance (HCTF) factors (.CSV) measured over the 400–2000 nm spectral range.

Detailed 3D representations of conifer shoots, when combined with radiative transfer modeling, can support improved interpretation of needle optical properties and enhance the quantification of shoot-level light scattering.

Branches of P. sylvestris and P. abies were collected from both upper and lower crown positions in Kanice and Rájec, Czech Republic (22 April 2024), and Järvselja, Estonia (17 September 2024). Immediately after collection, shoots were stored in a cooling box to preserve their structural integrity. In the laboratory, samples representing current-year, one-year-old, and two-year-old growth were analyzed. Shoots were scanned using an industrial non-contact 3D scanner (GOM Scan 1, MV 200 version; Carl Zeiss GOM Metrology GmbH, Germany). Reflectance and transmittance spectra of needles were measured using an ASD FieldSpec® 4 spectroradiometer (Malvern Panalytical Ltd., Malvern, UK).

Localization: Rájec
Country: the Czech Republic
Latitude and longitude: 49° 26′ 44.88″ N, 16° 41′ 47.76″ E

Localization: Kanice
Country: Czech Republic
Latitude and longitude: 49° 15′ 56.68″ N, 16° 40′ 44.86″ E

Localization: The SMEAR Estonia station
Country: Estonia
Latitude and longitude: 58° 16′ 17.04″ N, 27° 16′ 13.08″ E

This study was supported by the Czech-Estonian joint mobility project between the Estonian academy of Sciences and the Czech Academy of Sciences no. EAS-24-01. This study was funded by the Estonian Research Council grant PRG1405, SLTTO22345, and by Estonian Ministry of Education and Research, Centre of Excellence for Sustainable Land Use (TK232). This work was supported by the Ministry of Education, Youth and Sports of CR within the CzeCOS program, grant number LM2023048, the Grant Agency of the Masaryk University, grant MUNI/A/1648/2024 Dynamics of the Natural and Social Environment in a Geographical Perspective (DYNAGEO).
DOI: 10.17632/h39f9t7fjg.2
title: A dataset of detailed 3-dimensional surface geometry, optical properties of Scots pine and Norway spruce shoots

description: The dataset provides 3-dimensional structural and optical information for 27 shoots of two conifer species common to both study locations — Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) Karst.) — with three shoots collected per species and crown position. The data include high-resolution 3D surface models, photos of each sampled shoot, and the optical properties of needles and twigs.

High-resolution 3D point cloud representations of the shoots were obtained using a blue-light 3D photogrammetry scanning technique. Reflectance and transmittance measurements of needles and twigs were acquired with a spectroradiometer coupled to an integrating sphere. For each sample, the dataset contains:
 1. Reconstructed 3-dimensional surface geometry model (.OBJ) 
 2. Photo of the sampled shoot (.JPG)
 3. Optical property data of needles and twigs, including hemispherical–conical reflectance (HCRF) and transmittance (HCTF) factors (.CSV) measured over the 400–2000 nm spectral range.

Detailed 3D representations of conifer shoots, when combined with radiative transfer modeling, can support improved interpretation of needle optical properties and enhance the quantification of shoot-level light scattering.

Branches of P. sylvestris and P. abies were collected from both upper and lower crown positions in Kanice and Rájec, Czech Republic (22 April 2024), and Järvselja, Estonia (17 September 2024). Immediately after collection, shoots were stored in a cooling box to preserve their structural integrity. In the laboratory, samples representing current-year, one-year-old, and two-year-old growth were analyzed. Shoots were scanned using an industrial non-contact 3D scanner (GOM Scan 1, MV 200 version; Carl Zeiss GOM Metrology GmbH, Germany). Reflectance and transmittance spectra of needles were measured using an ASD FieldSpec® 4 spectroradiometer (Malvern Panalytical Ltd., Malvern, UK).

Localization: Rájec
Country: the Czech Republic
Latitude and longitude: 49° 26′ 44.88″ N, 16° 41′ 47.76″ E

Localization: Kanice
Country: Czech Republic
Latitude and longitude: 49° 15′ 56.68″ N, 16° 40′ 44.86″ E

Localization: The SMEAR Estonia station
Country: Estonia
Latitude and longitude: 58° 16′ 17.04″ N, 27° 16′ 13.08″ E

This study was supported by the Czech-Estonian joint mobility project between the Estonian academy of Sciences and the Czech Academy of Sciences no. EAS-24-01. This study was funded by the Estonian Research Council grant PRG1405, SLTTO22345, and by Estonian Ministry of Education and Research, Centre of Excellence for Sustainable Land Use (TK232). This work was supported by the Ministry of Education, Youth and Sports of CR within the CzeCOS program, grant number LM2023048, the Grant Agency of the Masaryk University, grant MUNI/A/1648/2024 Dynamics of the Natural and Social Environment in a Geographical Perspective (DYNAGEO).
DOI: 10.5281/zenodo.17854815
title: Supplement data for "Risk perception in transboundary volcanoes: insights from a longitudinal analysis between Argentina and Chile"

description: This repository contains the data processed for the risk perception longitudinal analysis conducted in Pucón (Chile) and Junín de los Andes (Argentina), two communities potentially affected by the Villarrica-Quetrupillán-Lanin volcanic chain. The methodology included focus groups and in-person interviews with key local stakeholders, supported by the geological surveys partners SEGEMAR (Argentina), and SERNAGEOMIN (Chile); and the Civil Defence directors of both municipalities.

This dataset is associated with the CERG-C thesis (University of Geneva):



Boixart G. Risk perception differences in border volcanoes: a focus group investigation between Argentina and Chile 

Boixart G, Forte P, De Abrantes L, Dominguez L, Garcia S, Bonadonna C. Risk perception in transboundary volcanoes: insights from a longitudinal analysis between Argentina and Chile (in preparation)


Content

'FocusGroupQuestionnaire.txt' : text file containing the questionnaire used for the focus groups and interviews.

'Transcriptions_FocusGroup' : folder containing the transcription of audios recorded during two focus groups conducted in Pucon and Junin de los Andes

Reuse applications and license

This dataset can be used for research. Users are encouraged to cite the DOI. The dataset is available under a CC-BY 4.0 license.
DOI: 10.5281/zenodo.17854814
title: Supplement data for "Risk perception in transboundary volcanoes: insights from a longitudinal analysis between Argentina and Chile"

description: This repository contains the data processed for the risk perception longitudinal analysis conducted in Pucón (Chile) and Junín de los Andes (Argentina), two communities potentially affected by the Villarrica-Quetrupillán-Lanin volcanic chain. The methodology included focus groups and in-person interviews with key local stakeholders, supported by the geological surveys partners SEGEMAR (Argentina), and SERNAGEOMIN (Chile); and the Civil Defence directors of both municipalities.

This dataset is associated with the CERG-C thesis (University of Geneva):



Boixart G. Risk perception differences in border volcanoes: a focus group investigation between Argentina and Chile 

Boixart G, Forte P, De Abrantes L, Dominguez L, Garcia S, Bonadonna C. Risk perception in transboundary volcanoes: insights from a longitudinal analysis between Argentina and Chile (in preparation)


Content

'FocusGroupQuestionnaire.txt' : text file containing the questionnaire used for the focus groups and interviews.

'Transcriptions_FocusGroup' : folder containing the transcription of audios recorded during two focus groups conducted in Pucon and Junin de los Andes

Reuse applications and license

This dataset can be used for research. Users are encouraged to cite the DOI. The dataset is available under a CC-BY 4.0 license.
DOI: 10.17632/cjyp2b8y5n
title: Supplementary data for Hydrogen in natural inclusions: geological legacy or laboratory artifact

description: This dataset includes numerical data supporting the figures and tables in the manuscript entitled "Hydrogen in natural inclusions: geological legacy or laboratory artifact?". It contains Raman spectra collected before and after hydrogen production in systems containing bitumen, diamond or graphite; original and processed data for temperature calibration curves and reaction rate analyses; and results from quantitative analyses of fluid inclusion compositions. Additional files include hydrogen preservation time estimates in mineral-hosted inclusions, spectra related to hydrogen production from dolomite, ethane consumption spectra, and Raman spectra acquired under varying laser power to determine hydrogen production thresholds. All files are provided in text-based formats (.txt or .xlsx) to ensure transparency and reproducibility. These data support both the main article and the supplementary material.