cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2445hc76
title: O-Buoy1 Deployment

description: This data set contains O-Buoy Deployment data. Daily, hourly or continuous measurements over Arctic Ocean sea ice of ozone-O3, carbon dioxide-CO2, hypobromite-BrO, wind speed and direction, air temperature and relative humidity (RH), barometric pressure, latitude and longitude, UTC time, horizon pictures, heading, pitch and roll *** SEE INSTRUMENT README FILES IN DATASET These are final data. *** Data Citation: Matrai PA, F Chavez, D Perovich, P Shepson, and WR Simpson (2009, Last updated 2014-07-10): O-Buoy1 Deployment. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D6H41PFF.
DOI: 10.5281/zenodo.10067850
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.10076797
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.10403541
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.14503793
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.14641927
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.14963364
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.15580097
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.5281/zenodo.8053132
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Leonora Gloyd, http://www.wikidata.org/entity/Q100694962. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q100694962
DOI: 10.18739/a2h98zd4v
title: O-Buoy4 Deployment

description: This data set contains O-Buoy Deployment data. Daily, hourly or continuous measurements over Arctic Ocean sea ice of ozone (O3), carbon dioxide (CO2), bromine (BrO), wind speed and direction, air temperature and relative humidity (RH), barometric pressure, latitude and longitude, Universal Coordinated Time (UTC), horizon pictures, heading, pitch and roll *** SEE INSTRUMENT README FILES IN DATASET. 2010 data are final. Due to a malfunctioning CO2 sensor, 2010 CO2 data are not available. Sensor was since replaced. 2010 Multi Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) data are also unavailable. 2011-2012 data are final. *** Data Citation: Matrai PA, F Chavez, D Perovich, P Shepson, and WR Simpson (2011, Last Updated 2014-07-10): O-Buoy4 Deployment. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D63T9F6M.
DOI: 10.15468/dl.gducnj
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 (Schiffornis turdina (Wied-Neuwied, 1831))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016469-250525065834625/datasets/export for details.
DOI: 10.15468/dl.g348xj
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sasa Makino & Shibata",
 "Year 1000-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016471-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2df6k38w
title: O-Buoy5 Deployment

description: This data set contains O-Buoy Deployment data. Daily, hourly or continuous measurements over Arctic Ocean sea ice of ozone-O3, carbon dioxide-CO2, hypobromite-BrO, wind speed and direction, air temperature and relative humidity (RH), barometric pressure, latitude and longitude, UTC time, horizon pictures, heading, pitch and roll *** SEE INSTRUMENT README FILES IN DATASET. These are final data. Data are limited due to a buoy power failure*** Data Citation: Matrai PA, F Chavez, D Perovich, P Shepson, and WR Simpson (2011, Last updated 2014-07-10): O-Buoy5 Deployment. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D6028PHN.
DOI: 10.18739/a2xd0qz0x
title: O-Buoy10 Deployment

description: This data set contains O-Buoy Deployment data. Daily, hourly or continuous measurements over Arctic Ocean sea ice of ozone (O3), carbon dioxide (CO2), bromine monoxide (BrO), wind speed and direction, air temperature and relative humidity (RH), barometric pressure, latitude and longitude, Universal Coordinated Time (UTC), horizon pictures, heading, pitch and roll *** SEE INSTRUMENT README FILES IN DATASET *** CO2 data are limited due to pump failure in early April 2014. Ozone data cease in September 2014 due to instrument failure. Posted data are final data. Data Citation: Matrai PA, F Chavez, D Perovich, P Shepson, and WR Simpson (2014. Last upaded 2014-07-11): O-Buoy10 Deployment. UCAR/NCAR - CISL - ACADIS. Dataset. http://dx.doi.org/10.5065/D6BC3WHF
DOI: 10.15468/dl.683y8a
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calodecaryia crassifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005956-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt9m5k
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capuronianthus mahafalensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005957-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfjdb9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.104 33.914,-118.333 33.914,-118.333 34.3,-119.104 34.3,-119.104 33.914))",
 "Month is one of (November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans",
 "Year is 2018"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005958-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uu8ae6
title: Occurrence Download

description: A dataset containing 1186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carapa procera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1186 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005959-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gmujg
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.104 33.914,-118.333 33.914,-118.333 34.3,-119.104 34.3,-119.104 33.914))",
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans",
 "Year is 2019"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005960-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449272
title: Simulation Data for Rayleigh–Darcy Convection in Heterogeneous Porous Strata

description: This dataset contains numerical simulation data of buoyancy-driven natural convection in heterogeneous porous media (Rayleigh–Darcy convection). The simulations span a wide range of Rayleigh numbers and permeability correlation lengths, and are used to investigate how permeability heterogeneity regulates convection dynamics and flow structures.
DOI: 10.5281/zenodo.18449273
title: Simulation Data for Rayleigh–Darcy Convection in Heterogeneous Porous Strata

description: This dataset contains numerical simulation data of buoyancy-driven natural convection in heterogeneous porous media (Rayleigh–Darcy convection). The simulations span a wide range of Rayleigh numbers and permeability correlation lengths, and are used to investigate how permeability heterogeneity regulates convection dynamics and flow structures.
DOI: 10.15468/dl.vu6wrb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cedrela angustifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005961-260129131611470/datasets/export for details.
DOI: 10.1594/pangaea.667087
title: Miocene palaeoclimate estimates of Schrotzburg (Germany) based on micro and macrofloras
DOI: 10.1594/pangaea.218109
title: ELPA (European Leaf Physiognomic Approach): Grid data set of the leaf physiognomic composition of the extant European hardwood vegetation

description: Physiognomic traits of plant leaves such as size, shape or margin are decisively affected by the prevailing environmental conditions of the plant habitat. On the other hand, if a relationship between environment and leaf physiognomy can be shown to exist, vegetation represents a proxy for environmental conditions.This study investigates the relationship between physiognomic traits of leaves from European hardwood vegetation and environmental parameters in order to create a calibration dataset based on high resolution grid cell data. The leaf data are obtained from synthetic chorologic floras, the environmental data comprise climatic and ecologic data. The high resolution of the data allows for a detailed analysis of the spatial dependencies between the investigated parameters.The comparison of environmental parameters and leaf physiognomic characters reveals a clear correlation between temperature related parameters (e.g. mean annual temperature or ground frost frequency) and the expression of leaf characters (e.g. the type of leaf margin or the base of the lamina). Precipitation related parameters (e.g. mean annual precipitation), however, show no correlation with the leaf physiognomic composition of the vegetation. On the basis of these results, transfer functions for several environmental parameters are calculated from the leaf physiognomic composition of the extant vegetation.In a next step, a cluster analysis is applied to the dataset in order to identify “leaf physiognomic communities”. Several of these are distinguished, characterised and subsequently used for vegetation classification. Concerning the leaf physiognomic diversity there are precise differences between each of these "leaf physiognomic classes". There is a clear increase of leaf physiognomic diversity with increasing variability of the environmental parameters: Northern vegetation types are characterised by a more or less homogeneous leaf physiognomic composition whereas southern vegetation types like the Mediterranean vegetation show a considerable higher leaf physiognomic diversity.Finally, the transfer functions are used to estimate palaeo-environmental parameters of three fossil European leaf assemblages from Late Oligocene and Middle Miocene. The results are compared with results obtained from other palaeo-environmental reconstructing methods. The estimates based on a direct linear ordination seem to be the most realistic ones, as they are highly consistent with the Coexistence Approach.
description: 0.5° lat. x 0.5° lon. grid data
DOI: 10.1594/pangaea.763149
title: Morphological, biogeographical and plant systematic data of 103 Pinus species

description: Colums 13-15 represent statistic dummy variables; (1) character present, (0) character absent
DOI: 10.1594/pangaea.472203
title: Oligocene palaeoclimate of Monod-Rivaz (Switzerland)
DOI: 10.1594/pangaea.472216
title: Miocene palaeoclimate of Schrotzburg (Germany)
DOI: 10.1594/pangaea.472217
title: Miocene palaeoclimate of Erdobenye Kovago-oldal (Hungary)
DOI: 10.1594/pangaea.218187
title: ELPA (European Leaf Physiognomic Approach): Grid data set of environmental and ecological parameters

description: 0.5° lat. x 0.5° lon. grid data set
DOI: 10.1594/pangaea.668389
title: Miocene micro and macrofloras of Schrotzburg (Germany)
DOI: 10.1594/pangaea.218162
title: ELPA (European Leaf Physiognomic Approach): Leaf physiognomic character scores of 108 European hardwoods

description: Scores for dummy variables; score 0: character is not present; score 1: character is present; score 0.5: charcater is present in some leaves and in some not; score 0.5, 0.33, 0.25: leaves shares several characters
DOI: 10.15468/dl.nchbx2
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chisocheton pentandrus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 290 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005962-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2j1l7f
title: CCDC 2325224: Experimental Crystal Structure Determination

description: Related Article: Fengrong Zhang|2024|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: 10.21227/4m0t-fm64
title: "NHTSA Crash Test Deformation and Impact Parameters Dataset (1972\u20132025) for Energy-Equivalent Speed and Severity Modeling"

description: "This dataset consolidates structured vehicle crash test measurements obtained programmatically via the NHTSA Vehicle Crash Test Database API b29b29b29, covering standardized impact tests conducted between 1972 and 2025 under controlled laboratory conditions. The collection contains vehicle-level and test-level parameters describing frontal impact experiments against rigid barriers, following protocols documented in the NHTSA Test Reference Guide.The dataset includes impact speed (CLSSPD), vehicle mass (VEHTWT), geometric characteristics (wheelbase and structural reference This dataset compiles structured vehicle crash test measurements obtained via the NHTSA Vehicle Crash Test Database API [1], covering standardized frontal impact experiments conducted between 1972 and 2025. The records include impact speed (CLSSPD), vehicle mass (VEHTWT), geometric attributes (e.g., wheelbase), and detailed residual deformation measurements across multiple crush zones (DPD1\u2013DPD6). Spatial geometry descriptors (AX1\u2013AX21 and BX1\u2013BX21) characterize the distribution of structural deformation along the vehicle front. All data originate from instrumented crash tests performed under controlled laboratory conditions following protocols described in the NHTSA Test Reference Guide [2]. The dataset enables research in crashworthiness analysis, accident reconstruction, impact severity modeling, and data-driven estimation of energy absorption, supporting both physics-based and machine learning approaches for studying nonlinear deformation behavior in vehicle collisions. Intended UseThis dataset is intended for research and educational applications in vehicle crashworthiness, accident reconstruction, impact severity analysis, and structural deformation modeling. It is suitable for developing and validating data-driven models, benchmarking physical reconstruction methods, and investigating nonlinear deformation patterns in modern vehicle structures. The data may also support studies in road safety engineering, forensic engineering analysis, and comparative evaluation of crash test protocols. Use in regulatory decision-making or safety certification should consider original NHTSA documentation and testing standards [1] [2].[1] U.S. National Highway Traffic Safety Administration , Vehicle Crash Test Database. Washington, DC, USA; NHTSA, 1981--. [Online]. Available at: \\url{https:\/\/www.nhtsa.gov\/research-data\/research-testing-databases\/}. Accessed: Jan. 7, 2026. [2] U.S. National Highway Traffic Safety Administration, NHTSA Test Reference Guide, Version~5, vol.~I: Vehicle Tests. Washington-DC, USA: U.S. Department of Transportation, National Highway Traffic Safety Administration, Office of the Associate Administrator for Research and Development, November 2014."
DOI: 10.15468/dl.x8bg6j
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chukrasia tabularis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 305 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005964-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnrz92
title: Occurrence Download

description: A dataset containing 2807 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((112.1 -0.175,122.392 -0.175,122.392 13.967,112.1 13.967,112.1 -0.175))",
 "TaxonKey is Scaridae"
 ]
}

 The dataset includes 2807 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005965-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dz27qe
title: Occurrence Download

description: A dataset containing 1225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cipadessa baccifera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1225 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005966-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb77vt
title: Occurrence Download

description: A dataset containing 12371 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plants of the Amur River Basin, Russia: specimen based occurrence dataset of 100 selected species"
 ]
}

 The dataset includes 12371 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005967-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3ghhg
title: Occurrence Download

description: A dataset containing 5966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus albicaulis"
 ]
}

 The dataset includes 5966 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005968-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5h6me
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysoxylum alliaceum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005969-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.