cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17778957
title: Time series of GNSS stations in the north-east of Italy

description: The zip file contains the time series of the GNSS stations deployed in north-east Italy. The values represent the displacements relative to the Adriatic plate. The columns are: Time, E, N, Se, Sn, Ren, U, Su, Reu, Rnu, site, long, lat, representing, respectively, epoch (in decimal years), displacement in the East component (in mm), displacement in the North component (in mm), uncertainty (one standard deviation) of the East component (in mm), uncertainty (one standard deviation) of the North component (in mm), correlation between the East and North components, displacement in the Up component (in mm), uncertainty (one standard deviation) of the Up component (in mm), correlation between the East and Up components, correlation between the North and Up components, Station ID (four letters), Longitude of the station (°), Latitude of the station (°).
DOI: 10.5281/zenodo.17778956
title: Time series of GNSS stations in the north-east of Italy

description: The zip file contains the time series of the GNSS stations deployed in north-east Italy. The values represent the displacements relative to the Adriatic plate. The columns are: Time, E, N, Se, Sn, Ren, U, Su, Reu, Rnu, site, long, lat, representing, respectively, epoch (in decimal years), displacement in the East component (in mm), displacement in the North component (in mm), uncertainty (one standard deviation) of the East component (in mm), uncertainty (one standard deviation) of the North component (in mm), correlation between the East and North components, displacement in the Up component (in mm), uncertainty (one standard deviation) of the Up component (in mm), correlation between the East and Up components, correlation between the North and Up components, Station ID (four letters), Longitude of the station (°), Latitude of the station (°).
DOI: 10.15468/dl.qtkr77
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eunice tubifex",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045094-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e241124
title: HIFLD OPEN Historical Tsunami Event Locations

description: Natural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. To view this service in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry) or Tsunami Events (1850-present) Time-Lapse map viewer. This is a feature layer displaying historical tsunami events from the Global Historical Tsunami Database at NOAA's National Centers for Environmental Information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e241124v1
title: HIFLD OPEN Historical Tsunami Event Locations

description: Natural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. To view this service in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry) or Tsunami Events (1850-present) Time-Lapse map viewer. This is a feature layer displaying historical tsunami events from the Global Historical Tsunami Database at NOAA's National Centers for Environmental Information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.15468/dl.wezgp7
title: Occurrence Download

description: A dataset containing 933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnocoronis spilanthoides)",
 "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 933 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045095-251120083545085/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.30850184
title: Violation of critical balance and dynamic alignment in anisotropic MHD turbulence

description: This dataset is a part of the our Analysis of our latest work named "Violation of critical balance and Dynamic alignment in Anisotropic MHD turbulence".
DOI: 10.6084/m9.figshare.30850184.v1
title: Violation of critical balance and dynamic alignment in anisotropic MHD turbulence

description: This dataset is a part of the our Analysis of our latest work named "Violation of critical balance and Dynamic alignment in Anisotropic MHD turbulence".
DOI: 10.6084/m9.figshare.30850298
title: Representative set of Amplicon Sequence Variants (ASVs) resulting from high throughput 18S rRNA gene sequencing of surface sediment collected from Bagnoli Bay (Gulf of Naples)

description: We collected surface sediment from Bagnoli Bay, Gulf of Naples, Italy, which is a highly contaminated area because of a former steel manufacturing plant. DNA was extracted fro mthe sediment, the 18S rRNA gene amplified and sequenced using high throughput technology to infer microbial eukaryote community.
DOI: 10.6084/m9.figshare.30850298.v1
title: Representative set of Amplicon Sequence Variants (ASVs) resulting from high throughput 18S rRNA gene sequencing of surface sediment collected from Bagnoli Bay (Gulf of Naples)

description: We collected surface sediment from Bagnoli Bay, Gulf of Naples, Italy, which is a highly contaminated area because of a former steel manufacturing plant. DNA was extracted fro mthe sediment, the 18S rRNA gene amplified and sequenced using high throughput technology to infer microbial eukaryote community.
DOI: 10.15468/dl.7g38r8
title: Occurrence Download

description: A dataset containing 6532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.03736 45.65868,7.74257 45.65868,7.74257 48.32363,2.03736 48.32363,2.03736 45.65868))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Circaetus gallicus"
 ]
}

 The dataset includes 6532 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045096-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.madczm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.199 -3.606836, 104.128598 -3.6124, 104.059927 -3.628955, 103.994675 -3.656094, 103.934448 -3.69315, 103.880726 -3.739211, 103.834833 -3.793145, 103.797898 -3.853624, 103.770831 -3.919162, 103.754303 -3.988144, 103.74872 -4.058874, 103.754225 -4.12961, 103.770684 -4.19861, 103.797695 -4.264175, 103.834594 -4.324689, 103.880476 -4.378661, 103.93421 -4.42476, 103.994473 -4.46185, 104.05978 -4.489017, 104.128521 -4.505589, 104.199 -4.511159, 104.269479 -4.505589, 104.33822 -4.489017, 104.403527 -4.46185, 104.46379 -4.42476, 104.517524 -4.378661, 104.563406 -4.324689, 104.600305 -4.264175, 104.627316 -4.19861, 104.643775 -4.12961, 104.64928 -4.058874, 104.643697 -3.988144, 104.627169 -3.919162, 104.600102 -3.853624, 104.563167 -3.793145, 104.517274 -3.739211, 104.463552 -3.69315, 104.403325 -3.656094, 104.338073 -3.628955, 104.269402 -3.6124, 104.199 -3.606836))"},{"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/0045098-251120083545085/datasets/export for details.
DOI: 10.3886/e241125
title: HIFLD OPEN Historical Tsunami Observations

description: Natural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. To view this dataset in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry). This is a feature layer displaying historical tsunami observations (also known as tsunami runups) from the Global Historical Tsunami Database at NOAA's National Centers for Environmental Information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.<br>
DOI: 10.3886/e241125v1
title: HIFLD OPEN Historical Tsunami Observations

description: Natural hazards such as earthquakes, tsunamis, and volcanoes affect both coastal and inland areas. Long-term data from these events can be used to establish the past record of natural hazard event occurrences, which is important for planning, response, and mitigation of future events. NOAA's National Centers for Environmental Information (NCEI) plays a major role in post-event data collection. The data in this archive is gathered from scientific and scholarly sources, regional and worldwide catalogs, tide gauge reports, individual event reports, and unpublished works. To view this dataset in an interactive mapping application, please see the Global Natural Hazards Data Viewer (NOAA GeoPlatform entry). This is a feature layer displaying historical tsunami observations (also known as tsunami runups) from the Global Historical Tsunami Database at NOAA's National Centers for Environmental Information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.<br>
DOI: 10.15468/dl.fhw6ej
title: Occurrence Download

description: A dataset containing 18929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "GadmGid is one of (MNG.15_1, MNG.7_1, MNG.3_1, MNG.8_1, MNG.10_1, MNG.17_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 18929 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045097-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58101/spkb-zj43
title:  Creating and analyzing multilingual parliamentary corpora
DOI: 10.25810/5dxz-xm93.92
title: Latin American Newspaper Coverage of Climate Change or Global Warming, 2005-2025 - November 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.17881656
title: Posterior fire emissions and model code for the CO inversion study on the 2019 Amazonia fires

description: This archive provides the posterior fire carbon emissions used in the study. Emissions correspond to the state-vector domain defined in the manuscript “Fire carbon emission constraints from space-based carbon monoxide retrievals in the Carbon Tracker Europe data assimilation system: a case-study for the 2019 Brazil dry season.”

Daily posterior emissions are attached on a 1.0° × 1.0° grid in NetCDF format. The archive also includes the CTDAS data assimilation systemn code and TM5-MP atmospheric transport model code versions used to generate the results.

Actively maintained repositories for these codebases are available at:





CTDAS: https://git.wur.nl/ctdas


TM5-MP: https://ci.tno.nl/gitlab/tm5/tm5-mp
DOI: 10.5281/zenodo.17881657
title: Posterior fire emissions and model code for the CO inversion study on the 2019 Amazonia fires

description: This archive provides the posterior fire carbon emissions used in the study. Emissions correspond to the state-vector domain defined in the manuscript “Fire carbon emission constraints from space-based carbon monoxide retrievals in the Carbon Tracker Europe data assimilation system: a case-study for the 2019 Brazil dry season.”

Daily posterior emissions are attached on a 1.0° × 1.0° grid in NetCDF format. The archive also includes the CTDAS data assimilation systemn code and TM5-MP atmospheric transport model code versions used to generate the results.

Actively maintained repositories for these codebases are available at:





CTDAS: https://git.wur.nl/ctdas


TM5-MP: https://ci.tno.nl/gitlab/tm5/tm5-mp
DOI: 10.15468/dl.nckgmy
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eunice afra",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 121 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swg9rf
title: Occurrence Download

description: A dataset containing 23971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternanthera philoxeroides)",
 "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 23971 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045100-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnu7v8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.159 -3.577835, 105.0886 -3.583399, 105.019931 -3.599954, 104.954682 -3.627094, 104.894456 -3.66415, 104.840737 -3.710211, 104.794845 -3.764145, 104.757911 -3.824625, 104.730846 -3.890162, 104.714318 -3.959145, 104.708737 -4.029875, 104.714241 -4.100611, 104.7307 -4.169611, 104.75771 -4.235176, 104.794608 -4.29569, 104.840488 -4.349662, 104.89422 -4.395761, 104.954481 -4.432851, 105.019785 -4.460017, 105.088523 -4.47659, 105.159 -4.48216, 105.229477 -4.47659, 105.298215 -4.460017, 105.363519 -4.432851, 105.42378 -4.395761, 105.477512 -4.349662, 105.523392 -4.29569, 105.56029 -4.235176, 105.5873 -4.169611, 105.603759 -4.100611, 105.609263 -4.029875, 105.603682 -3.959145, 105.587154 -3.890162, 105.560089 -3.824625, 105.523155 -3.764145, 105.477263 -3.710211, 105.423544 -3.66415, 105.363318 -3.627094, 105.298069 -3.599954, 105.2294 -3.583399, 105.159 -3.577835))"},{"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/0045101-251120083545085/datasets/export for details.
DOI: 10.25810/fq7x-q521.72
title: Middle Eastern Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - November 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.17882191
title: LegendPLEX_Alberto-Aguilar et al
DOI: 10.5281/zenodo.17882190
title: LegendPLEX_Alberto-Aguilar et al
DOI: 10.25500/edata.bham.00001493
title: Research data supporting the publication "Transport limitations in single-crystal NCM cathode electrodes"
DOI: 10.5281/zenodo.17871900
title: Celtic Invasive Plants database

description: Alien Invasive Species (AIS) represent one of the principal threats to humanity due to their substantial ecological, social, and economic impacts. The international effort to harmonize national AIS checklists and databases is often hindered by the data fragmentation across platforms.

The Celtic Fringe, a biogeographically coherent unit within the European Atlantic Floristic Region, includes part of the Iberian Peninsula, France and the British Islands—is notable for its extensively documented flora. Here, we present the first unified AIS checklist and georeferenced occurrence database for the entire Celtic Fringe, mapped at a 10×10 km UTM grid resolution. Occurrence data were aggregated from public datasets, while the harmonized 271-taxa AIS checklist was developed through the integration of national and international sources.

The resulting database comprises 164974 entries, each enriched with taxonomic, floristic, and administrative metadata to enhance usability across multiple geographic and governance levels. This harmonized and standardised resource is designed to support AIS management strategies at local, national, and transnational scales, while facilitating conservation planning and advancing research on invasion dynamics.
DOI: 10.15468/dl.uuxpyt
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marphysa mossambica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 60 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045102-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17864551
title: Climate and plant strategies explain soil functional axes and multifunctionality across a pan-biome gradient

description: This dataset contains integrated measurements of soil chemistry, soil enzyme activities, greenhouse gas fluxes, nutrient leaching, plant functional traits (root, leaf, and stem), isotopic signatures, and environmental drivers collected from multiple ecosystems along the elevational gradient of Mount Kilimanjaro (Tanzania). The data was used to produce results of the paper intitled 'Climate and plant strategies explain soil functional axes and multifunctionality across a pan-biome gradient'.
DOI: 10.5281/zenodo.17864550
title: Climate and plant strategies explain soil functional axes and multifunctionality across a pan-biome gradient

description: This dataset contains integrated measurements of soil chemistry, soil enzyme activities, greenhouse gas fluxes, nutrient leaching, plant functional traits (root, leaf, and stem), isotopic signatures, and environmental drivers collected from multiple ecosystems along the elevational gradient of Mount Kilimanjaro (Tanzania). The data was used to produce results of the paper intitled 'Climate and plant strategies explain soil functional axes and multifunctionality across a pan-biome gradient'.
DOI: 10.15468/dl.gaazag
title: Occurrence Download

description: A dataset containing 3061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rumex sagittatus)",
 "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 3061 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045103-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rx3hcd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((105.274 -3.567835, 105.203601 -3.573399, 105.134933 -3.589954, 105.069684 -3.617094, 105.009459 -3.65415, 104.95574 -3.700211, 104.909849 -3.754145, 104.872916 -3.814625, 104.845851 -3.880163, 104.829324 -3.949145, 104.823742 -4.019875, 104.829247 -4.090611, 104.845705 -4.159612, 104.872715 -4.225176, 104.909613 -4.28569, 104.955492 -4.339662, 105.009223 -4.385761, 105.069483 -4.422851, 105.134787 -4.450017, 105.203524 -4.46659, 105.274 -4.47216, 105.344476 -4.46659, 105.413213 -4.450017, 105.478517 -4.422851, 105.538777 -4.385761, 105.592508 -4.339662, 105.638387 -4.28569, 105.675285 -4.225176, 105.702295 -4.159612, 105.718753 -4.090611, 105.724258 -4.019875, 105.718676 -3.949145, 105.702149 -3.880163, 105.675084 -3.814625, 105.638151 -3.754145, 105.59226 -3.700211, 105.538541 -3.65415, 105.478316 -3.617094, 105.413067 -3.589954, 105.344399 -3.573399, 105.274 -3.567835))"},{"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/0045104-251120083545085/datasets/export for details.