cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17703242
title: GenBank Accession Numbers of Human footprint alters morphological traits and gut microbiome assembly of Antarctic sea urchins

description: This dataset contains the GenBank accession numbers for BioSamples and SRA from 16S metabarcoding sequences extracted from Abatus agassizii, associated with the BioProject PRJNA590493 . The localities and collection date are also included.
description: Antarctica has experienced a growing human footprint in recent decades, driven by the intensification of scientific, logistic, and tourism activities. While the effects of human activities on Antarctic ecosystems are increasingly documented, their impact on developmental stability and microbiome of Antarctic species remains largely unexplored. Here, we compared two contrasting coastal sites in Fildes Bay, King George Island: one close to a research station, and the other within a protected area. Trace element concentrations in sediments were analyzed by ICP-MS. The Antarctic sea urchin Abatus agassizii was chosen as a model organism to assess the effects of human footprint, integrating two key aspects: (i) the sea urchin's fluctuating asymmetry (i.e. small random differences between specimen sides), as an indicator of developmental stress (n = 60), and (ii) its gut microbiome composition and assembly processes, through 16S rRNA amplicon sequencing (n = 26). Arsenic (As) and potassium (K) were significantly enriched in the sediment of the anthropogenically impacted site compared to the protected area. Higher levels of fluctuating asymmetry and shape variation were detected in A. agassizii individuals from the contaminated site, accompanied by alterations in gut microbiome, including destabilized co-occurrence network, increased variability and stochasticity, and enrichment of bacterial taxa typically associated with hydrocarbon exposure. These results highlight the potential of anthropogenic pollution to disrupt critical characteristics of a key sediment bioturbator such as A. agassizii. Abatus sea urchins may serve as valuable bioindicators for monitoring human-induced stress, guiding conservation efforts to limit the human footprint and protect these highly sensitive marine Antarctic ecosystems.
DOI: 10.5281/zenodo.17703243
title: GenBank Accession Numbers of Human footprint alters morphological traits and gut microbiome assembly of Antarctic sea urchins

description: This dataset contains the GenBank accession numbers for BioSamples and SRA from 16S metabarcoding sequences extracted from Abatus agassizii, associated with the BioProject PRJNA590493 . The localities and collection date are also included.
description: Antarctica has experienced a growing human footprint in recent decades, driven by the intensification of scientific, logistic, and tourism activities. While the effects of human activities on Antarctic ecosystems are increasingly documented, their impact on developmental stability and microbiome of Antarctic species remains largely unexplored. Here, we compared two contrasting coastal sites in Fildes Bay, King George Island: one close to a research station, and the other within a protected area. Trace element concentrations in sediments were analyzed by ICP-MS. The Antarctic sea urchin Abatus agassizii was chosen as a model organism to assess the effects of human footprint, integrating two key aspects: (i) the sea urchin's fluctuating asymmetry (i.e. small random differences between specimen sides), as an indicator of developmental stress (n = 60), and (ii) its gut microbiome composition and assembly processes, through 16S rRNA amplicon sequencing (n = 26). Arsenic (As) and potassium (K) were significantly enriched in the sediment of the anthropogenically impacted site compared to the protected area. Higher levels of fluctuating asymmetry and shape variation were detected in A. agassizii individuals from the contaminated site, accompanied by alterations in gut microbiome, including destabilized co-occurrence network, increased variability and stochasticity, and enrichment of bacterial taxa typically associated with hydrocarbon exposure. These results highlight the potential of anthropogenic pollution to disrupt critical characteristics of a key sediment bioturbator such as A. agassizii. Abatus sea urchins may serve as valuable bioindicators for monitoring human-induced stress, guiding conservation efforts to limit the human footprint and protect these highly sensitive marine Antarctic ecosystems.
DOI: 10.15468/dl.pcctwh
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis nigripes"
 ]
}

 The dataset includes 190 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011951-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p839rk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is FRA.13.3_1",
 "Geometry POLYGON((5.55779 43.16557,5.71014 43.16557,5.71014 43.2673,5.55779 43.2673,5.55779 43.16557))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2020-2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011952-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/7a8ac591-7617-4083-9d71-1727c45a5dea
title: Onderzoek circulaire economie
DOI: 10.15468/dl.575urk
title: Occurrence Download

description: A dataset containing 871976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Observation.org, Nature data from around the World",
 "Geometry POLYGON((3.22627 51.066,3.98007 50.92506,3.86879 51.27446,3.35847 51.40122,3.0494 51.308,3.22627 51.066))",
 "HasGeospatialIssue is false",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f"
 ]
}

 The dataset includes 871976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011935-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pg533z
title: Occurrence Download

description: A dataset containing 40899 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrences of planktonic organisms imaged by an Underwater Vision Profiler 6 on a SeaExplorer glider during the 2021 spring bloom in the North Western Mediterranean Sea"
 ]
}

 The dataset includes 40899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011953-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnqck2
title: Occurrence Download

description: A dataset containing 809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BRA.11_1, BRA.12_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Annelida"
 ]
}

 The dataset includes 809 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011954-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.934855
title: Occurrence Download

description: A dataset listing the 0 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Saudi Arabia"
 ]
}

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011947-251120083545085/datasets/export for details.
DOI: 10.15468/dl.fjzmfe
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anoplophora glabripennis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 324 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsv9ap
title: Occurrence Download

description: A dataset containing 3927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrilus planipennis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 3927 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011955-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/caf134a0-1632-4a26-a3ba-495c5499f1c1
title: Zeeland veilig panelonderzoek
DOI: 10.5157/neps:sc3:13.1.0
title: Scientific Use File of NEPS Starting Cohort 3: Grade 5
title: Scientific Use File der NEPS-Startkohorte 3: Klasse 5

description: The data from the Starting Cohort Grade 5 is available, free of charge, to individuals with a valid NEPS data usage contract via three modes of access – download, RemoteNEPS and on-site.
description: Die Daten der Startkohorte Klasse 5 stehen Personen mit einem gültigen NEPS-Datennutzungsvertrag kostenfrei über drei Zugangswege – Download, RemoteNEPS, On-site – zur Verfügung.
DOI: 10.5284/1137930
title: Digital Archive from an Archaeological Evaluation at Southend Airport, Rochford, Essex

description: This collection consists of images, reports, spreadsheets, site record data and a vector graphic from an archaeological evaluation by Archaeology South-East. Work occurred on land at Southend Airport, Rochford, Essex in April 2017. Archaeological remains identified by the evaluation were relatively sparse and consisted of a small number of ditches and pits dating to the prehistoric period. Evidence of activity continuing beyond the Later Bronze Age was provided by a second ditch containing sherds of Early Iron Age pottery and a pit probably dating to the Middle Iron Age. A number of modern features and service trenches were present. All are likely to have been associated with airfield activity over the last 100 years.
DOI: 10.21227/1snz-0810
title: "Vegetation restoration prediction model"

description: "Understanding the coupled dynamics of wildfire spread and post-fire vegetation recovery is critical for effective ecosystem management, particularly in the Wildland\u2013Urban Interface (WUI). Despite extensive research on fire behavior and post-fire regrowth, gaps remain in capturing the joint influence of topography, fuel structure, climate, and burn severity on recovery trajectories. In this study, we integrate a physically informed fire-spread model with a machine-learning\u2013based vegetation recovery model to provide a unified framework for evaluating both fire expansion and post-fire EVI dynamics. The fire-spread model, validated against CAL FIRE and NASA observations of the Eaton Fire, reproduces large-scale fire patterns with reasonable accuracy, though early-stage spread is conservative in areas with complex urban\u2013forest interfaces and limited meteorological data. The post-fire EVI recovery model, trained on 15 land-cover types, achieves high predictive performance for large-sample categories (R\u00b2, NSE, and KGE &gt; 0.8), capturing land-cover-specific responses to burn severity, precipitation, temperature, and topography. Shrublands and pastures recover rapidly, often within two years, whereas Mixed and Evergreen Forests require 4\u20135 years due to slower tree establishment and early competition from herbaceous vegetation. Partial dependence analyses indicate that pre-fire EVI, precipitation, and minimum temperature are primary drivers of recovery, while burn severity and slope exert secondary influences. Across all land-cover types, EVI increments decrease over time and stabilize near pre-fire levels, reflecting asymptotic recovery. This integrated modeling approach provides a quantitative tool for anticipating vegetation dynamics and informing post-fire management under increasingly variable climatic and landscape conditions."
DOI: 10.25824/redu/r5ytru
title: Lupin protein-proanthocyanidins complexes as multifunctional emulsifiers for next-generation high internal phase emulsions

description: This dataset compiles the data generated in the research project investigating the formation and characterization of lupin protein–proanthocyanidin complexes and their application as multifunctional emulsifiers in high internal phase emulsions (HIPEs). The study was conducted through laboratory-based experimentation, including the preparation of protein–polyphenol complexes, formulation of model emulsions, and a wide range of physicochemical, rheological, and microscopic analyses. The dataset includes raw experimental spreadsheets, organized laboratory notebook records, detailed protocols for the preparation of complexes and emulsions, and files generated from analytical instrumentation (e.g., spectroscopy, particle size analysis, zeta potential, microscopy, and rheometry), along with consolidated tables that supported data interpretation. These files contain replicated measurements, intermediate calculations, formulation conditions, and instrumental parameters used throughout the project. No interviews, surveys, or bibliographic surveys were used as primary sources; all data originate from laboratory experiments. The dataset was structured through systematic organization, standardization, consistency checks, and compilation of all information required for the reproducibility of the experiments. This dataset also contains the results of the characterization of lupin protein and lupin protein–grape seed extract (GSE) complexes used to stabilize high internal phase emulsions. Here you will find results from zeta potential measurements. New results will be added as the research project progresses. Samples are labeled as LP (lupin protein) and LP-GSE (lupin protein–grape seed extract complexes), tested at different NaCl concentrations (0–200 mM) or pH values (3.5–6.5). For example, the sample named LP_100 mM refers to a lupin protein dispersion containing 100 mM NaCl, whereas LP-GSE_pH3.5 refers to a lupin protein–grape seed extract complex dispersion prepared at pH 3.5.
DOI: 10.7910/dvn/5oah7p
title: PPEG - Political Parties, Presidents, Elections and Governments, Version 2025v1

description: The PPEG Database contains information on political parties, presidents, elections, and governments around the world. Version 2025v1 covers 73 countries in Africa, the Americas, Asia, Australia, and Europe between 1945 and 2025 (Oct 31) including data on 3 301 political parties, 1 100 parliamentary elections, 402 presidential elections, and 2 044 cabinets. &lt;br&gt; &lt;br&gt;

See https://ppeg.wzb.eu/ for additional information. &lt;br&gt; &lt;br&gt;


Current collaborators: Werner Krause (since 2011, University of Potsdam), Raphael Döring (since 2024, WZB Berlin), and Julia Stoppe (since 2025, University of Potsdam). &lt;br&gt; &lt;br&gt;

Past contributors: Robert Stelzle (2020-2024), Sven Regel (2009-2021), Klara Podkowik (2019-2020), Markus Konrad (2017, 2020), Clara Montero (2017-2019), Alexandra Keiner (2016-2019), Dag Tanneberg (2008-2011), Sandra Brunsbach (2005-2007), Felix Schwarzer (2003-2005), Alexander Belussov (2000-2003), Kai-Uwe Schnapp (1999-2002). &lt;br&gt; &lt;br&gt;


Data collection initiated by Edeltraud Roller and Bernhard Weßels (1999). &lt;br&gt; &lt;br&gt;


Supported by the WZB Berlin Social Science Center.
DOI: 10.48544/34aa3fc8-7af9-4d75-8e8b-12e0ba841904
title: Infographic: Hoe betrek je Zeeuwse kinderen en jongeren bij cultuur?
DOI: 10.15468/dl.9xgep6
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Hippeastrum psittacinum, Hippeastrum decoratum, Amaryllis psittacina decorata, Amaryllis psittacina, Aschamia psittacina, Trisacarpis psittacina)"
 ]
}

 The dataset includes 169 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011958-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydwhy9
title: Occurrence Download

description: A dataset containing 8728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Formica sanguinea"
 ]
}

 The dataset includes 8728 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011957-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fekasq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Tobacco ringspot virus"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011959-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30734378
title: Comparative Analysis of the Composition of Exosome-Like Nanoparticles from Dried and Fresh <i>Portulaca oleracea</i> L.

description: <b>Study Overview:</b><br>This study employed metabolomics, lipidomics, and proteomics to investigate the impact of drying treatment on the molecular composition of exosome-like nanoparticlesderived from <i>Portulaca oleracea</i> L (PELNs) .<b>Sample and Experimental Design:</b><br>The experimental design included two groups: Fresh PELNs (F-PELNs) and Dried PELNs (D-PELNs), with 3 biological replicates per group.<b>Data Acquisition Methods:</b><b>Metabolomics:</b> Analyses were performed using an ACQUITY UPLC I-Class HF system (Waters, USA) coupled to a Q Exactive (QE) Plus mass spectrometer (Thermo Fisher Scientific, USA). Chromatographic separation was achieved using an ACQUITY UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm) with data acquired in both positive and negative ionization modes.<b>Lipidomics：</b>Analyses were performed using a Vanquish UHPLC system (Thermo Fisher Scientific, USA) equipped with a du-al-channel pump, vacuum degasser, auto-sampler, and column oven, coupled to a QE Plus mass spectrometer (Thermo Fisher Scientific, USA). Chromatographic separation was achieved using an ACQUITY UPLC BEH C18 column (100 × 2.1 mm, 1.7 μm) with data acquired in both positive and negative ionization modes.<b>Proteomics:</b> Protein samples were digested with trypsin] and analyzed by nanoLC-MS/MS. Mass spectrometry data were acquired in Data-Dependent Acquisition (DDA) mode.<b>Data Processing:</b><br>Raw mass spectrometry data from metabolomics and lipidomics were processed using Progenesis QI software and Lipidsearch for peak picking, alignment, and metabolite/lipid identification. Proteomics data were processed and quantified using MaxQuant software. <br><b>Data Content:</b><br>This dataset contains:Raw mass spectrometry files (.raw) for metabolomics and lipidomics.Raw data files(.raw) for proteomics.<b>Data Quality:</b><br>Quality control (QC) samples were interspersed throughout the data acquisition sequence. For metabolomics and lipidomics, the relative standard deviations (RSDs) for the retention times and peak intensities of internal standards in the QC samples were all below 15%, demonstrating good stability and reproducibility of the analytical run.<br><b>License and Potential Reuse:</b><br>This dataset is licensed under [CC-BY 4.0]. These data provide a comprehensive multi-omics resource for understanding the molecular changes in PELNs induced by drying, suitable for subsequent integrative analysis, biomarker discovery, or as a reference dataset for methodological comparisons.
DOI: 10.6084/m9.figshare.30734378.v1
title: Comparative Analysis of the Composition of Exosome-Like Nanoparticles from Dried and Fresh <i>Portulaca oleracea</i> L.

description: <b>Study Overview:</b><br>This study employed metabolomics, lipidomics, and proteomics to investigate the impact of drying treatment on the molecular composition of exosome-like nanoparticlesderived from <i>Portulaca oleracea</i> L (PELNs) .<b>Sample and Experimental Design:</b><br>The experimental design included two groups: Fresh PELNs (F-PELNs) and Dried PELNs (D-PELNs), with 3 biological replicates per group.<b>Data Acquisition Methods:</b><b>Metabolomics:</b> Analyses were performed using an ACQUITY UPLC I-Class HF system (Waters, USA) coupled to a Q Exactive (QE) Plus mass spectrometer (Thermo Fisher Scientific, USA). Chromatographic separation was achieved using an ACQUITY UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm) with data acquired in both positive and negative ionization modes.<b>Lipidomics：</b>Analyses were performed using a Vanquish UHPLC system (Thermo Fisher Scientific, USA) equipped with a du-al-channel pump, vacuum degasser, auto-sampler, and column oven, coupled to a QE Plus mass spectrometer (Thermo Fisher Scientific, USA). Chromatographic separation was achieved using an ACQUITY UPLC BEH C18 column (100 × 2.1 mm, 1.7 μm) with data acquired in both positive and negative ionization modes.<b>Proteomics:</b> Protein samples were digested with trypsin] and analyzed by nanoLC-MS/MS. Mass spectrometry data were acquired in Data-Dependent Acquisition (DDA) mode.<b>Data Processing:</b><br>Raw mass spectrometry data from metabolomics and lipidomics were processed using Progenesis QI software and Lipidsearch for peak picking, alignment, and metabolite/lipid identification. Proteomics data were processed and quantified using MaxQuant software. <br><b>Data Content:</b><br>This dataset contains:Raw mass spectrometry files (.raw) for metabolomics and lipidomics.Raw data files(.raw) for proteomics.<b>Data Quality:</b><br>Quality control (QC) samples were interspersed throughout the data acquisition sequence. For metabolomics and lipidomics, the relative standard deviations (RSDs) for the retention times and peak intensities of internal standards in the QC samples were all below 15%, demonstrating good stability and reproducibility of the analytical run.<br><b>License and Potential Reuse:</b><br>This dataset is licensed under [CC-BY 4.0]. These data provide a comprehensive multi-omics resource for understanding the molecular changes in PELNs induced by drying, suitable for subsequent integrative analysis, biomarker discovery, or as a reference dataset for methodological comparisons.
DOI: 10.15468/dl.uy2dq8
title: Occurrence Download

description: A dataset containing 4438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Apamea monoglypha",
 "Year 2025-2025"
 ]
}

 The dataset includes 4438 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.