cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b4dpqd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anser fabalis (Latham, 1787))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018311-250525065834625/datasets/export for details.
DOI: 10.15468/mrxge2
title: Marine zooplankton community structure through environmental DNA metabarcoding in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON)

description: This data consists of counts of putative zooplankton OTUs, revealed through metabarcoding of the cytochrome oxidase I (COI) gene extracted from filtered water samples in the Florida Keys National Marine Sanctuary during 2016. It includes results from 95 water samples taken over three days at three coral reef sites. After data processing, a total of 194 taxa were identified; the identification was to the species level, with only a few to the genus level.
DOI: 10.15468/dl.b7ss7w
title: Occurrence Download

description: A dataset containing 5840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 1980-2025"
 ]
}

 The dataset includes 5840 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018312-250525065834625/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.29226377
title: JGR_Numerical study of particle rolling entrainment in wall turbulent on rough bed

description: This dataset includes data used in the original research article, "Numerical study of particle rolling entrainment in wall turbulent on rough bed" by Yicong Zhu, Yan Zhang and Ping Wang.
DOI: 10.6084/m9.figshare.29226377.v1
title: JGR_Numerical study of particle rolling entrainment in wall turbulent on rough bed

description: This dataset includes data used in the original research article, "Numerical study of particle rolling entrainment in wall turbulent on rough bed" by Yicong Zhu, Yan Zhang and Ping Wang.
DOI: 10.15468/yg2y7v
title: Benthic Epifauna Biomass and Abundance Data, Arctic Marine Biodiversity Observing Network (AMBON) research cruise, August 2017

description: Marine biodiversity is a key component of ocean health. Monitoring and understanding marine biodiversity is essential for our ability to forecast and respond to changes. The goal of the Arctic Marine Biodiversity Observing Network (AMBON) project is to demonstrate and build an operational marine biodiversity observing network from microbes to whales, integrating diversity levels from genetic to organismal. AMBON field region is located on the Chukchi Sea continental shelf in the US Arctic as a region exposed to climatic changes and anthropogenic influences. This dataset contains biomass and abundance data collected in the Chukchi Sea during the August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. Epifauna samples were collected using beam trawl during a research cruise during August 2017 in the Chukchi Sea, U.S. Arctic. The data consist of biomass per taxon of epibenthic invertebrates. The dataset is a comma separated values file exported from a Microsoft Excel spreadsheet. This dataset was transformed from the native format into a table structure using Darwin Core term names as column names.
DOI: 10.5281/zenodo.15001544
title: CEDS v_2025_03_18 Gridded Data 0.5 degree

description: ************

This data has been corrected with CEDS v_2025_04_18 0.5 degree gridded data released here:

https://zenodo.org/records/15127477

************

 

This Zenodo data entry is a documentation placeholder and diagnostic data release for the v_2025_03_18 0.5 degree gridded data released via ESGF.



 




This data is derived from CEDS v_2025_03_18 aggregate emissions release, which includes emissions data files by emission species (SO2, NOx, BC, OC, NH3, NMVOC,  CO, CO2, CH4, N2O), country, and sector released here:




https://zenodo.org/records/15059443




 




This data set can be accessed via ESGF, for detailed instructions on how to access and download, as well as data notes, see the README file attached.




 




The files released here include:




 




CEDS_v_2025_03_18_0.5_Gridded_README.txt (instructions for access on ESGF and data notes)




CEDS_v_2025_03_18_gridding_diagnostics.zip




 




See the CEDS GitHub site for details including journal paper reference information and any known issues with this data:


https://github.com/JGCRI/CEDS
DOI: 10.5281/zenodo.15001543
title: CEDS v_2025_03_18 Gridded Data 0.5 degree

description: ************

This data has been corrected with CEDS v_2025_04_18 0.5 degree gridded data released here:

https://zenodo.org/records/15127477

************

 

This Zenodo data entry is a documentation placeholder and diagnostic data release for the v_2025_03_18 0.5 degree gridded data released via ESGF.



 




This data is derived from CEDS v_2025_03_18 aggregate emissions release, which includes emissions data files by emission species (SO2, NOx, BC, OC, NH3, NMVOC,  CO, CO2, CH4, N2O), country, and sector released here:




https://zenodo.org/records/15059443




 




This data set can be accessed via ESGF, for detailed instructions on how to access and download, as well as data notes, see the README file attached.




 




The files released here include:




 




CEDS_v_2025_03_18_0.5_Gridded_README.txt (instructions for access on ESGF and data notes)




CEDS_v_2025_03_18_gridding_diagnostics.zip




 




See the CEDS GitHub site for details including journal paper reference information and any known issues with this data:


https://github.com/JGCRI/CEDS
DOI: 10.15468/nvvifc
title: Marine Bird Sighting Data, Arctic Marine Biodiversity Observing Network (AMBON) Chukchi Sea research cruise on the vessel Norseman II from 2017-08-05 to 2017-08-25

description: This dataset contains seabird survey and associated environmental conditions data collected in the Chukchi Sea during the 5 August - 25 August 2017 Arctic Marine Biodiversity Observing Network (AMBON) research cruises. Seabirds were surveyed using line transect methods. Seabird observations were recorded directly into a laptop computer using software which logged the geographic coordinates of each sighting. Incidental sightings of marine mammal were also recorded. Supplementary environmental data are included for the beginning of each survey period. The dataset is two comma-separated values (csv) files. The file named dlog_2017_dwc_core.csv contains the count of observed marine birds and mammals by species, their behavior, and the environmental conditions recorded during the surveys for the 2017 research cruise. The file named taxon_codes_2017.csv is an associated taxon code list of the observed species.This dataset was transformed from the native format into a table structure using Darwin Core term names as column names.
DOI: 10.15468/hczoxz
title: Vessel line-transect surveys of Arctic pinnipeds in the Chuckchi Sea, Arctic Marine Biodiversity Observing Network (AMBON) research cruise on the vessel Norseman II, 2015-08-09 - 2015-09-03

description: This dataset contains pinniped observation data conducted during shipboard transects in the Chukchi Sea during the 9 August - 3 September 2015 Arctic Marine Biodiversity Observing Network (AMBON) research cruise. The dataset is three comma-separated values (csv) files describing the dates, times, latitude, longitude, species and best-high-low estimates of numbers for each pinniped (seals, seal lions, and walrus) sighting. This dataset was exported from the marine bird and mammal observation software WinCruz from the entire survey, and later transformed from the native WinCruz format into Darwin Core formatted tables (DwC, occurrence core), with DwC term names as column names.
DOI: 10.15468/sqpu7z
title: Wilkinson Basin Time Series Station (WBTS): Mesozooplankton 2004-2017

description: Mesozooplankton time series data collected at Wilkinson Basin Time Series (WBTS) between January 1, 2005 and July 19, 2017. Sampling was conducted in collaboration with Drs. Doug Vandemark and Joe Salisbury and Research Associate Shawn Shellito at the University of New Hampshire (UNH). Between 2004-2008, the WBTS station was sampled at approximately monthly intervals by the Coastal Ocean Observing and Analysis Center (COOA: http://www.opal.sr.unh.edu/) at the University of New Hampshire, where J. Runge was a research faculty member until moving to the University of Maine in October, 2006. The WBTS station (known as Station WB-7 during the COOA project) was the furthest station on a transect extending out from Portsmouth Harbor. Funding for COOA ended in 2008 and the Wilkinson Basin was sampled at much less frequent intervals without zooplankton sample collection between September, 2008 and April, 2012. Between April 6, 2012 and May 21, 2013, the WBTS station was sampled at monthly intervals including zooplankton collection with the support of an NSF RAPID award to J. Runge (OCE-.1235920). In 2014, WBTS was sampled on three occasions. With the NSF award OCE- 1459087, entitled “Collaborative Research: Mechanisms supporting persistence of a key plankton species during climate change on the Northwest Atlantic continental shelf”, funding for monthly sampling at the WBTS station was supported between March, 2015 to July, 2017. The zooplankton samples were collected and analyzed by Rebecca Jones (2005-2011) and Cameron Thompson (2012-2017) under the supervision of J.Runge. Hydrographic and other environmental data were collected by the OPAL group at UNH under the supervision of J. Salisbury and D. Vandemark.
DOI: 10.15468/dl.mztwv3
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018314-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrzd7j
title: Occurrence Download

description: A dataset containing 5905782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "Year 1980-2025"
 ]
}

 The dataset includes 5905782 records from 1910 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16909049
title: GeoFireGuard
title: Servizio open data di monitoraggio e protezione delle aree a rischio incendio

description: (IT) Dall'esigenza di fornire dati sempre più aggiornati sui rischi naturali e antropici a causa dalla crisi climatica, nasce GeoFireGuard, il servizio open data di monitoraggio e protezione delle aree a rischio incendio attraverso l'utilizzo di dati geospaziali messi a disposizione dalle costellazioni Sentinel del programma Copernicus dell'Unione Europea/ESA; HS2 ed ERA5, Landsat, EMIT, GIBS, Aqua e Terra, TRMM, e GPM, IMERG, servizio FIRMS della NASA/USGS degli USA. Area di interesse: Vulture Alto-Bradano (Basilicata - Italia).

(EN) Born out of the need to provide increasingly up-to-date data on natural and human-induced risks driven by the climate crisis, GeoFireGuard is an open data service for monitoring and protecting areas at risk of wildfires. It leverages geospatial data made available by the Sentinel constellations of the European Union/ESA Copernicus programme; HS2 and ERA5, Landsat, EMIT, GIBS, Aqua and Terra, TRMM, and GPM, IMERG, and the FIRMS service by NASA/USGS (USA). Area of interest: Vulture Alto-Bradano (Basilicata - Italy).
DOI: 10.15468/dl.rwfznh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025179-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mkk9dvs6y7
title: Replication Package Asset Price Changes, External Wealth and Global Welfare

description: This Folder contains Replication Files for the Manuscript "Asset Price Changes, External Wealth and Global Welfare". 

For questions please contact me at timothy.meyer@ifw-kiel.de or timothy.meyer@ifw-kiel.de
DOI: 10.17632/mkk9dvs6y7.1
title: Replication Package Asset Price Changes, External Wealth and Global Welfare

description: This Folder contains Replication Files for the Manuscript "Asset Price Changes, External Wealth and Global Welfare". 

For questions please contact me at timothy.meyer@ifw-kiel.de or timothy.meyer@ifw-kiel.de
DOI: 10.17632/6bxptzrkph
title: Simulation result for horizontal and vertical component

description: Simulates horizontal or vertical components using poroelastic model
DOI: 10.17632/6bxptzrkph.1
title: Simulation result for horizontal and vertical component

description: Simulates horizontal or vertical components using poroelastic model
DOI: 10.17632/rctsv463tc
title: Brain-driven neural circuit coordinates tissue regeneration in joint cartilage

description: Raw data for paper "Brain-driven neural circuit coordinates tissue regeneration in joint cartilage"
DOI: 10.17632/rctsv463tc.1
title: Brain-driven neural circuit coordinates tissue regeneration in joint cartilage

description: Raw data for paper "Brain-driven neural circuit coordinates tissue regeneration in joint cartilage"
DOI: 10.15468/dl.ja9he5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021893-250525065834625/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2ngk0q
title: CCDC 2456843: Experimental Crystal Structure Determination

description: Related Article: Menglei Zhang|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: 10.15468/dl.xqjxn2
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.69204 37.55073,-67.02843 37.55073,-67.02843 42.35754,-75.69204 42.35754,-75.69204 37.55073))",
 "TaxonKey is Metridium senile (Linnaeus, 1761)"
 ]
}

 The dataset includes 113 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010556-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh25d2
title: Occurrence Download

description: A dataset containing 114762164 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 114762164 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049975-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16739438
title: Synthetic Passenger Name Record for Security Analysis

description: This dataset contains synthetic Passenger Name Record (PNR) data simulating international air travel bookings across countries in the Schengen region during 2019. It includes over 400,000 synthetic passengers and 20,000+ flights formatted in XML following the IATA PNRGOV v16.1 schema. Coverage note: the dataset is limited to PNRs processed by the Greek Passenger Information Unit (PIU), and therefore focuses on itineraries that enter, exit, or transit Greece.

The data supports research in air travel modeling, mobility analysis, and aviation security, and is fully privacy-preserving. See the accompanying technical documentation and paper for full methodology and known limitations.

Associated paper: Fadlian, M. F., Ireson, N., & Lanfranchi, V. (2025). *Generating realistic Passenger Name Records with privacy compliance for security analysis*. Proceedings of the International ISCRAM Conference. https://doi.org/10.59297/mbf3dq94
DOI: 10.5281/zenodo.16739439
title: Synthetic Passenger Name Record for Security Analysis

description: This dataset contains synthetic Passenger Name Record (PNR) data simulating international air travel bookings across countries in the Schengen region during 2019. It includes over 400,000 synthetic passengers and 20,000+ flights formatted in XML following the IATA PNRGOV v16.1 schema. Coverage note: the dataset is limited to PNRs processed by the Greek Passenger Information Unit (PIU), and therefore focuses on itineraries that enter, exit, or transit Greece.

The data supports research in air travel modeling, mobility analysis, and aviation security, and is fully privacy-preserving. See the accompanying technical documentation and paper for full methodology and known limitations.

Associated paper: Fadlian, M. F., Ireson, N., & Lanfranchi, V. (2025). *Generating realistic Passenger Name Records with privacy compliance for security analysis*. Proceedings of the International ISCRAM Conference. https://doi.org/10.59297/mbf3dq94
DOI: 10.5281/zenodo.15572303
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602e Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602e Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15572304
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250602e Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250602e Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.mtc3nq
title: Occurrence Download

description: A dataset containing 3331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-73.14724 7.10343,-73.14149 7.1018,-73.13298 7.09498,-73.14215 7.08555,-73.12479 7.08522,-73.11201 7.0888,-73.10972 7.08132,-73.11922 7.07157,-73.10841 7.0706,-73.09465 7.06572,-73.08164 7.07027,-73.07902 7.07905,-73.07869 7.0992,-73.08066 7.11546,-73.08491 7.12456,-73.09908 7.13171,-73.11777 7.13616,-73.1318 7.13543,-73.14654 7.12359,-73.14724 7.10343))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3331 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014699-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hg4n5k
title: Occurrence Download

description: A dataset containing 9729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.59518335716846 48.221044215390485, 16.607512388509228 48.315138726746675, 16.46746683184312 48.323436528777776, 16.45539564575848 48.22932421251562, 16.59518335716846 48.221044215390485))"
 ]
}

 The dataset includes 9729 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014700-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nygnwg
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025267-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm4ujt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argopleura conventus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025268-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h6yt9
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((37.55906 17.24037,23.93721 9.68643,23.31803 -9.1365,36.19688 -17.68112,51.42859 -17.43345,64.92661 -3.68776,57.00117 10.80094,47.2182 16.49736,37.55906 17.24037))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dalbergia microphylla Chiov."
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014684-250525065834625/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.29243078
title: The spatiotemporal evolution and spatial effect of digitalization on urban land intensive use in the Yangtze River Economic Belt

description: The data used in this article has been uploaded here. Due to copyright restrictions and compliance with database terms of use agreements, the original data cannot be shared publicly. Therefore, some data has been replaced with processed versions or code substitutions.