cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18093955
title: Flushing of subsurface soil nitrate as the primary cause of increased stream nitrate during storm events

description: The export flux of nitrate from forested catchments via streams typically increases during storm events due to simultaneous increases in the nitrate concentration and flow rate. Potential nitrate sources responsible for this increase include nitrate dissolved in rainwater and nitrate accumulated in soil layers. To identify the dominant source during storm events, we monitored the temporal variations in the concentration and stable isotopic composition (δ¹⁵N, δ¹⁸O, and Δ¹⁷O) of stream nitrate eluted from a forested catchment (IJ1; 298 ha) during three storm events (I, II, and III). The stream nitrate concentration increased significantly, from 29.9 to 78.6 μM, from 14.8 to 51.3 μM, and from 35.4 to 108.9 μM during the storm events I, II, and III, respectively. In contrast, the triple oxygen isotopic composition (Δ¹⁷O) of stream nitrate exhibited a significant linear correlation with the reciprocal of concentration (1/[NO3−]). This relationship indicates that variations in the mixing ratio between stream nitrate during baseflow periods and the source of increased stream nitrate during storm events are responsible for the variations in the stream nitrate concentration and isotopic composition. Although the isotopic composition of nitrate in rainwater and surface soil layers deviated significantly from the composition of the nitrate-enriched endmember estimated from the mixing lines, the composition of subsurface soil nitrate aligned closely with that of this endmember. Accordingly, we concluded that nitrate flushed from subsurface soil layers was the primary source of increased stream nitrate during storm events. Our results demonstrate that monitoring the temporal variations in the isotopic composition of stream nitrate during storm events provides a viable approach for estimating the isotopic composition of spatially integrated soil nitrate.
DOI: 10.25326/293
title: Tropospheric O3 profiles data using ECC ozonesonde measurements at the OHP

description: The tropospheric O3 profiles data were obtained by ECC ozonesonde at the OHP (Observatoire de Haute Provence) station belonging to NDACC (Network for Detection of Atmospheric Composition Change) network. It's a french activity from the Service d’Observation NDACC-France of CNRS (Centre National de la Recherche Scientifique)/INSU (Institut National des Sciences de l’Univers) coordinated nationally by OVSQ (Observatoire de l’université de Versailles).
DOI: 10.5281/zenodo.18093954
title: Flushing of subsurface soil nitrate as the primary cause of increased stream nitrate during storm events

description: The export flux of nitrate from forested catchments via streams typically increases during storm events due to simultaneous increases in the nitrate concentration and flow rate. Potential nitrate sources responsible for this increase include nitrate dissolved in rainwater and nitrate accumulated in soil layers. To identify the dominant source during storm events, we monitored the temporal variations in the concentration and stable isotopic composition (δ¹⁵N, δ¹⁸O, and Δ¹⁷O) of stream nitrate eluted from a forested catchment (IJ1; 298 ha) during three storm events (I, II, and III). The stream nitrate concentration increased significantly, from 29.9 to 78.6 μM, from 14.8 to 51.3 μM, and from 35.4 to 108.9 μM during the storm events I, II, and III, respectively. In contrast, the triple oxygen isotopic composition (Δ¹⁷O) of stream nitrate exhibited a significant linear correlation with the reciprocal of concentration (1/[NO3−]). This relationship indicates that variations in the mixing ratio between stream nitrate during baseflow periods and the source of increased stream nitrate during storm events are responsible for the variations in the stream nitrate concentration and isotopic composition. Although the isotopic composition of nitrate in rainwater and surface soil layers deviated significantly from the composition of the nitrate-enriched endmember estimated from the mixing lines, the composition of subsurface soil nitrate aligned closely with that of this endmember. Accordingly, we concluded that nitrate flushed from subsurface soil layers was the primary source of increased stream nitrate during storm events. Our results demonstrate that monitoring the temporal variations in the isotopic composition of stream nitrate during storm events provides a viable approach for estimating the isotopic composition of spatially integrated soil nitrate.
DOI: 10.5517/ccdc.csd.cc28tfvd
title: CCDC 2109824: Experimental Crystal Structure Determination

description: Related Article: Wanglala wanghl18|2025|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: 10.5281/zenodo.18093544
title: Curated Estonian National Bibliography - persons
title: Kureeritud Eesti rahvusbibliograafia (isikud)

description: This curated dataset is derived from the persons authority file of the Estonian National Bibliography (ENB), a comprehensive catalog of publications written in Estonian, published in Estonia, or focusing on Estonian culture and people. Designed for computational analysis, this dataset adapts the original authority file for research and cultural exploration. Through a systematic process of filtering, cleaning, and harmonizing, the ENB dataset is presented in a streamlined tabular format that retains rich metadata while improving accessibility. Fields selected for inclusion are harmonized and, where possible, linked to external sources, offering an optimized and reproducible resource for historical, cultural, and bibliographic research.
DOI: 10.21227/jzpp-my15
title: "Behavioral Dataset for Ultrasonic Command Injection Detection in Voice-Controlled Systems"

description: "This dataset provides real-world behavioral interaction metadata collected from voice-controlled systems deployed in residential smart-home environments over a 90-day period. It contains cloud-accessible user and device command logs capturing temporal execution patterns, semantic intent information, audio availability indicators, and device context attributes. Anomalous instances are behaviorally labeled based on manifestations consistent with ultrasonic command injection threat models established in prior literature, without performing any physical ultrasonic signal injection. The dataset is intended to support research on voice assistant security, behavioral anomaly detection, and machine learning\u2013based defense mechanisms. No raw audio or personally identifiable information is included, ensuring privacy-preserving data sharing."
DOI: 10.6084/m9.figshare.30970939
title: The supplementary data for an study.

description: Data on gasification cavity characteristics, syngas composition, and coal properties (porosity, heating value, density) for various coal ranks.
DOI: 10.6084/m9.figshare.30970939.v1
title: The supplementary data for an study.

description: Data on gasification cavity characteristics, syngas composition, and coal properties (porosity, heating value, density) for various coal ranks.
DOI: 10.5281/zenodo.18093949
title: Geochemical Signatures in Plastic Debris from the Curonian Lagoon, Lithuania

description: This dataset contains raw geochemical data on elemental accumulation in weathered plastic debris collected from the vicinity of the Curonian Lagoon, Lithuania. The samples were analyzed for 32 elements using inductively coupled plasma–mass spectrometry (ICP-MS), and polymer types were identified using standard spectroscopic methods. The dataset includes elemental concentrations, polymer classification, and associated metadata required for reproducibility and reuse. These data support the findings reported in the associated PLOS ONE article and are provided as a supplement to the publication. Article Title: Geochemical Signatures in Plastic Debris from the Curonian Lagoon, Lithuania; DOI: 10.1371/journal.pone.0340582
DOI: 10.5281/zenodo.18093948
title: Geochemical Signatures in Plastic Debris from the Curonian Lagoon, Lithuania

description: This dataset contains raw geochemical data on elemental accumulation in weathered plastic debris collected from the vicinity of the Curonian Lagoon, Lithuania. The samples were analyzed for 32 elements using inductively coupled plasma–mass spectrometry (ICP-MS), and polymer types were identified using standard spectroscopic methods. The dataset includes elemental concentrations, polymer classification, and associated metadata required for reproducibility and reuse. These data support the findings reported in the associated PLOS ONE article and are provided as a supplement to the publication. Article Title: Geochemical Signatures in Plastic Debris from the Curonian Lagoon, Lithuania; DOI: 10.1371/journal.pone.0340582
DOI: 10.34808/1jea-2373
title: Results of exposure of Hep G2 cells to diclofenac solution

description: The data set presents the results of genotoxicity activity (using the Comet Assay) of diclofenac on human HT29 adenocarcinoma cells.
The results and parameters of the study are presented in the publication Monika Wieczerzak, Jacek Namieśnik & Błażej Kudłak (2019): Genotoxicity of selected pharmaceuticals, their binary mixtures, and varying environmental conditions—study with human adenocarcinoma cancer HT29 cell line, Drug and Chemical ToxicologyTo link to this article: https://doi.org/10.1080/01480545.2018.1529783
Results performed in 2016/17
DOI: 10.5281/zenodo.15189132
title: Dataset- Bibliometric and Sociometric Study of Spanish University Scientific Production in SDG Topics (2019–2023)

description: This dataset supports a bibliometric and sociometric analysis of Spanish universities' scientific production related to the United Nations Sustainable Development Goals (SDGs) for the period 2019 to 2023. This research is framed in the R+D+i Project "Spanish Universities in the Media" (MECU-ESP): Methodological Strategies and Web Tool for the Study and Classification of News Dissimination" PID2023-153339NA-I00 funded by the Ministry of Science, Innovation and Universities. Co-funded by the European Union. State Research Agency. University of Malaga, Spain.

The data were extracted from the InCites database and compiled into three Excel files. The dataset enables a comprehensive evaluation of the volume, impact, and interrelations of scientific output aligned with the SDG framework within the Spanish higher education system.

Contents:The dataset includes the following three files:





Total Scientific Production (2019–2023) Spanish Universities:This file includes bibliometric data on the total scientific output of Spanish universities during the period, with metadata on institutions, publication counts, and research areas.




Average Normalized Impact per SDG (2019-2023) All Spanish Universities:Contains data on the average normalized citation impact of publications, aggregated by university and SDG category, enabling comparisons of scientific influence across institutions and goals.




SDG–University Relations Matrix:This file presents the distribution and intensity of research output by Spanish universities across the 17 SDGs, facilitating sociometric analysis of institutional focus areas.



Format: Microsoft Excel (.xlsx)

Source: InCites (Clarivate Analytics)

Coverage: Spain | Time Period: 2019–2023

This dataset can serve as a resource for researchers, policymakers, and academic administrators interested in evaluating the contribution of Spanish universities to the global sustainability agenda through their scientific output.
DOI: 10.5281/zenodo.15189131
title: Dataset- Bibliometric and Sociometric Study of Spanish University Scientific Production in SDG Topics (2019–2023)

description: This dataset supports a bibliometric and sociometric analysis of Spanish universities' scientific production related to the United Nations Sustainable Development Goals (SDGs) for the period 2019 to 2023. This research is framed in the R+D+i Project "Spanish Universities in the Media" (MECU-ESP): Methodological Strategies and Web Tool for the Study and Classification of News Dissimination" PID2023-153339NA-I00 funded by the Ministry of Science, Innovation and Universities. Co-funded by the European Union. State Research Agency. University of Malaga, Spain.

The data were extracted from the InCites database and compiled into three Excel files. The dataset enables a comprehensive evaluation of the volume, impact, and interrelations of scientific output aligned with the SDG framework within the Spanish higher education system.

Contents:The dataset includes the following three files:





Total Scientific Production (2019–2023) Spanish Universities:This file includes bibliometric data on the total scientific output of Spanish universities during the period, with metadata on institutions, publication counts, and research areas.




Average Normalized Impact per SDG (2019-2023) All Spanish Universities:Contains data on the average normalized citation impact of publications, aggregated by university and SDG category, enabling comparisons of scientific influence across institutions and goals.




SDG–University Relations Matrix:This file presents the distribution and intensity of research output by Spanish universities across the 17 SDGs, facilitating sociometric analysis of institutional focus areas.



Format: Microsoft Excel (.xlsx)

Source: InCites (Clarivate Analytics)

Coverage: Spain | Time Period: 2019–2023

This dataset can serve as a resource for researchers, policymakers, and academic administrators interested in evaluating the contribution of Spanish universities to the global sustainability agenda through their scientific output.
DOI: 10.5281/zenodo.17914426
title: Conjunto de notas de leitura de processos relativos à ação de construção de "Construção do Tribunal de Castelo Branco [1964-1960]"

description: Conjunto de notas de leitura de processos relativos à ação de construção de "Construção do Tribunal de Castelo Branco [1964-1960]" existentes nos Arquivos e Coleções Documentais da Ex-DGEMN do Património Cultural I.P., em Sacavém, e no Arquivo Municipal de Castelo Branco, em Castelo Branco.




Registos efetuados em julho de 2024 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/pt/atividades/acoes/47555/construcao-do-tribunal-de-castelo-branco. 




Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.5281/zenodo.17914427
title: Conjunto de notas de leitura de processos relativos à ação de construção de "Construção do Tribunal de Castelo Branco [1964-1960]"

description: Conjunto de notas de leitura de processos relativos à ação de construção de "Construção do Tribunal de Castelo Branco [1964-1960]" existentes nos Arquivos e Coleções Documentais da Ex-DGEMN do Património Cultural I.P., em Sacavém, e no Arquivo Municipal de Castelo Branco, em Castelo Branco.




Registos efetuados em julho de 2024 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/pt/atividades/acoes/47555/construcao-do-tribunal-de-castelo-branco. 




Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.34808/mvbc-tt76
title: Results of exposure of Hep G2 cells to fluoxetine solution

description: The data set presents the results of genotoxicity activity (using the Comet Assay) of fluoxetine on human HT29 adenocarcinoma cells.
The results and parameters of the study are presented in the publication Monika Wieczerzak, Jacek Namieśnik & Błażej Kudłak (2019): Genotoxicity of selected pharmaceuticals, their binary mixtures, and varying environmental conditions—study with human adenocarcinoma cancer HT29 cell line, Drug and Chemical ToxicologyTo link to this article: https://doi.org/10.1080/01480545.2018.1529783
Results performed in 2016/17
DOI: 10.15468/dl.k4mx2f
title: Occurrence Download

description: A dataset containing 63087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus hybridus"
 ]
}

 The dataset includes 63087 records from 1293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069121-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18068518
title: Hydrometeorological features and landslide surface velocity datasets (Séchilienne, Viella, Villerville)

description: This dataset provides the input tables used to model deep-seated landslide surface dynamics at three instrumented sites: Séchilienne (France), Viella (France), and Villerville (France).

For each site, we provide (i) observed and preprocessed surface velocity time series and (ii) hydro-meteorological feature tables derived from rainfall (R), effective rainfall (ER), and groundwater level / piezometric indicators (GWL, or WLI/WLM at Séchilienne).The feature tables include rolling sums and maxima over multiple windows, saturation and anomaly indices, event-based strength metrics, and groundwater lag/difference/statistics features.

All tables are time-indexed with a Date column to enable direct merging and reproducible model training.The accompanying open-source code for feature computation and XGBoost modelling is available in the associated GitHub repository : Béjean-Maillard, O. (2025). Hydrometeorological features and XGBoost modelling (v0.1.0). GitHub repository.
DOI: 10.34740/kaggle/dsv/14342257
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.e8cq7j
title: Occurrence Download

description: A dataset containing 340030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis"
 ]
}

 The dataset includes 340030 records from 1748 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069113-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aztf2q
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambystoma granulosum Taylor, 1944",
 "Year 1966-2025"
 ]
}

 The dataset includes 270 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001985-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.es9y4u
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-82.83269 8.46192,-70.43958 8.46192,-70.43958 16.25187,-82.83269 16.25187,-82.83269 8.46192))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Conidae"
 ]
}

 The dataset includes 430 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001986-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3jczr
title: Occurrence Download

description: A dataset containing 1281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus maximinoi H.E.Moore"
 ]
}

 The dataset includes 1281 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001987-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyyfy3
title: Occurrence Download

description: A dataset containing 7389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laminaria digitata (Huds.) J.V.Lamour.",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7389 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001988-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c36k5j
title: Parque Metropolitano Crane, 65m_Wind speed & Direction

description: Wind speed and direction, interval average/max/min
 Parque Natural Metropolitano (PNM) crane station.
 Location: 8.994410 -79.543000
 Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane was 42 meters tall. The original monitoring station was located at approximately 25m. This level was about 1/3 the way from the canopy.
 In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022.
 The original met. station was located on the side of the tower at approximately 25m. The combination of a lower capability anemometer, and mid-canopy location of the station resulted in wind data that were of poor quality and unrepresentative of the conditions at the top of the canopy. This anemometer was abandoned in 2008. A new anemometer was installed close to the top (65m) of the new crane on March of 2022.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Parque_Metropolitano_Crane_65m_Wind_speed_Direction/19795387
DOI: 10.60635/c3f88r
title: Parque Metropolitano Crane, 65m_Wind speed & Direction

description: Wind speed and direction, interval average/max/min
 Parque Natural Metropolitano (PNM) crane station.
 Location: 8.994410 -79.543000
 Established in 1995, the PNM canopy crane is located at the North Western edge of Panama City, at the eastern edge of the Parque Natural Metropolitano (Metropolitan Nature Park) and is surrounded by 80-year old, lowland semi-deciduous forest. The crane was 42 meters tall. The original monitoring station was located at approximately 25m. This level was about 1/3 the way from the canopy.
 In 2021 the original crane was dismantled and replaced with a new, 68m crane in Jan. 2022.
 The original met. station was located on the side of the tower at approximately 25m. The combination of a lower capability anemometer, and mid-canopy location of the station resulted in wind data that were of poor quality and unrepresentative of the conditions at the top of the canopy. This anemometer was abandoned in 2008. A new anemometer was installed close to the top (65m) of the new crane on March of 2022.
 Historical datasets can be located here: https://smithsonian.figshare.com/articles/dataset/Parque_Metropolitano_Crane_65m_Wind_speed_Direction/19795387
DOI: 10.15468/dl.5ez28w
title: Occurrence Download

description: A dataset containing 169582 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus calleryana Decne."
 ]
}

 The dataset includes 169582 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001968-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.