cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5067/asdc/suborbital/solve2_aircraftremotesensing_dc8_hsrl_data_1
title: SOLVE II DC-8 Aircraft High Spectral Resolution Lidar (HSRL) Data
DOI: 10.5067/asdc/suborbital/solve2_aircraftremotesensing_dc8_lidar_data_1
title: SOLVE II DC-8 Aircraft Remotely Sensed Lidar Data
DOI: 10.5067/asdc/suborbital/solve2_metnav_aircraftinsitu_dc8_data_1
title: SOLVE II DC-8 Aircraft In-situ Meteorology and Navigational Data
DOI: 10.5067/asdc/suborbital/solve2_miscellaneous_dc8_data_1
title: SOLVE II Miscellaneous DC-8 Aircraft Data
DOI: 10.5067/asdc/suborbital/solve2_radiation_aircraftinsitu_dc8_data_1
title: SOLVE II DC-8 Aircraft Radiation In-situ Data
DOI: 10.5067/asdc/suborbital/solve2_rocket_data_1
title: SOLVE II Rocket Data
DOI: 10.5067/asdc/suborbital/solve2_satellite_data_1
title: SOLVE II Supplementary Satellite Data Products
DOI: 10.5067/asdc/suborbital/solve2_sondes_data_1
title: SOLVE II Balloonsondes and Ozonesondes Data
DOI: 10.5067/asdc/suborbital/solve2_tracegas_aircraftinsitu_dc8_data_1
title: SOLVE II DC-8 Aircraft In-situ Trace Gas Data
DOI: 10.5067/asdc/suborbital/solve2_tracegas_aircraftremotesensing_dc8_data_1
title: SOLVE II DC-8 Aircraft Remotely Sensed Trace Gas Data
DOI: 10.5067/suborbital/solve/data001
title: SOLVE I and II Campaign Data
DOI: 10.15468/dl.nwemu4
title: Occurrence Download

description: A dataset containing 4564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Phacochoerus africanus",
 "Year 2015-2025"
 ]
}

 The dataset includes 4564 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000250-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tr5zus
title: Occurrence Download

description: A dataset containing 133324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Japan, Korea (Democratic People’s Republic of), Korea, Republic of, Pakistan, India, Nepal, Bhutan, Bangladesh, Sri Lanka, Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Chinese Taipei, Philippines, Malaysia, Indonesia, Papua New Guinea, Solomon Islands, Australia, Timor-Leste)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dactylis glomerata, Dalbergia pinnata, Debia ovatifolia, Debregeasia longifolia, Dendrocnide sinuata, Dendrolobium triangulare, Deparia petersenii, Dianella ensifolia, Diaphanodon blandus, Dichapetalum gelonioides, Dichrocephala integrifolia, Dicranodontium denudatum, Dicranum psathyrum, Didymodon rigidulus, Digitaria compacta, Digitaria stricta, Diplazium polypodioides, Disporum cantoniense, Distichophyllum succulentum, Doryopteris concolor, Droguetia iners, Drosera peltata, Drymaria cordata, Dryopteris cochleata, Dryopteris marginata, Dryopteris wallichiana, Duabanga grandiflora, Dumasia villosa, Dysphania ambrosioides, Ehretia acuminata, Elaeagnus conferta, Elaeagnus latifolia, Elaeocarpus robustus, Elaeocarpus serratus, Elatostema lineolatum, Elatostema monandrum, Elatostema sessile, Embelia ribes, Endostemon viscosus, Entodon plicatus, Entodontopsis anceps, Entodontopsis nitens, Entodontopsis wightii, Epithema carnosum, Erigeron canadensis, Erigeron karvinskianus, Eriocapitella rivularis, Euonymus grandiflorus, Euonymus lawsonii, Exbucklandia populnea)"
 ]
}

 The dataset includes 133324 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000234-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17065341
title: Data to "Quantifying and mapping regional C, N and P stocks from temperate fens, bogs, and forested peatlands using detailed peat bathymetry"

description: These files contain all data used in the manuscript entitled "Estimating regional C, N and P stocks from temperate fens, bogs, and forested peatlands using detailed peat bathymetry", submitted to JGR:Biogeosciences in September 2025.
DOI: 10.5281/zenodo.17065342
title: Data to "Quantifying and mapping regional C, N and P stocks from temperate fens, bogs, and forested peatlands using detailed peat bathymetry"

description: These files contain all data used in the manuscript entitled "Estimating regional C, N and P stocks from temperate fens, bogs, and forested peatlands using detailed peat bathymetry", submitted to JGR:Biogeosciences in September 2025.
DOI: 10.25824/redu/84v0bx
title: Authentication of brazilian artisanal cheeses using non-destructive technologies

description: The databases correspond to research data obtained in the doctoral thesis entitled: Near-infrared spectroscopy and chemometrics for the authentication of Brazilian artisanal cheeses. The first data file compiles information used to develop a non-destructive method, based on near-infrared (NIR) spectroscopy, for identifying adulteration in butteroil (Manteiga de garrafa) resulting from the partial replacement of milk fat with lard, soybean oil, or expired butter. It contains physicochemical results (chemical composition, fatty acid profile, acid value and peroxide value) and instrumental color parameters for authentic samples, as well as NIR spectra of authentic butteroil, adulterated samples, and the respective adulterants. The second date file compiles information used to develop a non-destructive method, based on near-infrared (NIR) spectroscopy, to identify adulteration in queijo de manteiga (Brazilian butter cheese) by replacing manteiga de garrafa (butteroil), its main ingredient, with soybean oil. The file contains physicochemical results (chemical composition and fatty acid profile), instrumental color parameters, and NIR spectra (900–1700 nm) of authentic and adulterated queijo de manteiga samples. And the third data file contains information used to discriminate varieties of Brazilian artisanal cheeses and to predict chemical composition employing non-destructive technologies: a portable NIR spectrometer (900–1700 nm) and hyperspectral imaging in the vis–NIR (397–1004 nm) and NIR (884–1717 nm) ranges. Parameters of chemical composition, fatty acides profile and instrumental color were assessed to capture inter-cheese variation. These analyses support the development of classification models and predictive models to support artisanal origin certifications.
DOI: 10.34740/kaggle/dsv/14629407
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18364215
title: X-ray CT scan data of pultruded carbon fiber composite - sample A

description: A X-ray computed tomography scan of a unidirectional composite sample (sample A) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18364214
title: X-ray CT scan data of pultruded carbon fiber composite - sample A

description: A X-ray computed tomography scan of a unidirectional composite sample (sample A) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18364337
title: X-ray CT scan data of pultruded carbon fiber composite - sample C

description: A X-ray computed tomography scan of a unidirectional composite sample (sample C) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18364338
title: X-ray CT scan data of pultruded carbon fiber composite - sample C

description: A X-ray computed tomography scan of a unidirectional composite sample (sample C) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18370050
title: X-ray CT scan data of pultruded carbon fiber composite - sample B

description: A X-ray computed tomography scan of a unidirectional composite sample (sample B) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18370051
title: X-ray CT scan data of pultruded carbon fiber composite - sample B

description: A X-ray computed tomography scan of a unidirectional composite sample (sample B) cut from a carbon fiber reinforced pultruded profile. 

The X-ray scan was performed at DanMAX beamline, at MAX IV synchotron facility. The file format is H5. 

For the material chatacterization of the composite and its constituents (fiber and matrix), a journal publication is prepared.

For the analysis of the X-ray data, including the extraction of the fiber orientation, and the material characterization data, analysis and post-processing, please visit: https://doi.org/10.5281/zenodo.17455079 

This dataset has been used in the following publications: 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. Experimental and Numerical Compression Analysis of 3D X-Ray CT Scanned Uni-directional Pultruded Carbon Fiber Composites. In ICCM International Conferences on Composite Materials, Baltimore, MD, United States, 4 August 2025. 

Mageira, P.; Poulios, K.; Andreasen, J.W.; Dahl, V.A.; Mikkelsen, L.P. From 3D X-ray CT scans to mesh-independent numerical compressive strength predictions of unidirectional carbon fiber composites. IOP Conf. Ser. Mater. Sci. Eng. 2025, 1338. doi: 10.1088/1757-899x/1338/1/012026.

 

 

 

This study was funded by EU Horizon MSCA 2021 DN Reliance: REaL-tIme characterization of ANisotropic Carbon-based tEchnological fibers, films and composites, grant no. 101073040.



We acknowledge the MAX IV Laboratory for beamtime on the DanMAX beamline under proposal 20231612. Research conducted at MAX IV, a Swedish national user facility, is supported by Vetenskapsrådet (Swedish Research Council, VR) under contract 2018-07152, Vinnova (Swedish Governmental Agency for Innovation Systems) under contract 2018-04969 and Formas under contract 2019-02496. DanMAX is funded by the NUFI grant no. 4059-00009B.
DOI: 10.5281/zenodo.18379456
title: EPILEPTIC ENCEPHALOPATHY IN CHILDREN: THE SIGNIFICANCE OF NEUROIMAGING FINDINGS

description: Epileptic encephalopathy in children represents a severe group of neurological disorders characterized by frequent epileptic activity that contributes to progressive cognitive, behavioral, and developmental impairment. Early and accurate diagnosis of epileptic encephalopathy is crucial for effective management and prognosis. Neuroimaging plays a pivotal role in identifying structural and functional brain abnormalities underlying epileptic activity. This article analyzes the significance of neuroimaging findings in the diagnosis and evaluation of epileptic encephalopathy in children. Emphasis is placed on the role of modern neuroimaging techniques in determining etiology, guiding treatment strategies, and predicting clinical outcomes.
DOI: 10.5281/zenodo.18379457
title: EPILEPTIC ENCEPHALOPATHY IN CHILDREN: THE SIGNIFICANCE OF NEUROIMAGING FINDINGS

description: Epileptic encephalopathy in children represents a severe group of neurological disorders characterized by frequent epileptic activity that contributes to progressive cognitive, behavioral, and developmental impairment. Early and accurate diagnosis of epileptic encephalopathy is crucial for effective management and prognosis. Neuroimaging plays a pivotal role in identifying structural and functional brain abnormalities underlying epileptic activity. This article analyzes the significance of neuroimaging findings in the diagnosis and evaluation of epileptic encephalopathy in children. Emphasis is placed on the role of modern neuroimaging techniques in determining etiology, guiding treatment strategies, and predicting clinical outcomes.
DOI: 10.15468/nhe3sf
title: A new chondrichthyan (Sharks and Rays) Fossil Assemblage from the Miocene Cacela Fm. at Albufeira (Algarve, Portugal) with two new species: Palaeoecology and Biogeography

description: This dataset contains the digitized treatments in Plazi based on the original journal article Landau, Bernard. M., Hovestadt, Dirk C., Da Silva, Carlos M. (2025): A new chondrichthyan (Sharks and Rays) Fossil Assemblage from the Miocene Cacela Fm. at Albufeira (Algarve, Portugal) with two new species: Palaeoecology and Biogeography. Zootaxa 5724 (1): 1-66, DOI: 10.11646/zootaxa.5724.1.1, URL: https://doi.org/10.11646/zootaxa.5724.1.1AbstractA diverse Upper Miocene, Tortonian, assemblage of chondrichthyan fossils from the Cacela Formation, Algarve, southern Portugal, has been studied for the first time. The fossils were collected using bulk and search sampling techniques. Bulk sampling of 100 kg of sediment yielded 319 specimens. Search sampling resulted in 2260 specimens. A total of 32 species were identified, some using open nomenclature. The best represented species in the bulk sample are: Taeniurops cavernosa (Probst, 1877), Carcharhinus acuarius (Probst, 1879), Negaprion eurybathrodon (Blake, 1862), Paragaleus pulchellus (Jonet, 1966) and Rhizoprionodon ficheuri (Joleaud, 1912), making up 20% of the species and 55% of the specimens in the sample. Carcharhinus cf. ambionensis, C. cf. brachyurus, C. cf. brevipinna and C. cf. sorrah are reported for the first time from the Miocene. Kruckowlamna cf. costarricana Laurito Mora, 1999, previously known only from the Mio-Pliocene of the Caribbean, is a new record for the European Miocene. Two new species were identified: Chiloscyllium serralheiroi sp. nov. and Palaeorhincodon fialhoi sp. nov., also representing the first record of these genera for the Miocene. The fauna documented in the study assemblage is interpreted as having inhabited a neritic shallow marine subtropical to, most probably, tropical environment. Several thermophilic taxa represented in the study assemblage—e.g., Taeniurops, Negaprion, Paragaleus, etc.—are currently found at lower subtropical and tropical latitudes in the Atlantic. This Neogene to Holocene southward range contraction is consistent with similar biogeographical trends observed in other marine groups, namely, among benthic molluscs.
DOI: 10.15468/crw32w
title: Taxonomic and nomenclatorial notes on the Catoptria coulonellus (Duponchel) species group with description of five new species from Western Balkans (Lepidoptera: Pyraloidea, Crambidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bassi, Graziano, Huemer, Peter (2025): Taxonomic and nomenclatorial notes on the Catoptria coulonellus (Duponchel) species group with description of five new species from Western Balkans (Lepidoptera: Pyraloidea, Crambidae). Zootaxa 5719 (3): 301-326, DOI: 10.11646/zootaxa.5719.3.1, URL: https://doi.org/10.11646/zootaxa.5719.3.1AbstractThe extensive study of the original descriptions and of rich material allowed us to review the Catoptria coulonellus species group, with its species C. coulonellus (Duponchel, 1836) sp. reinst., C. combinella ([Denis & Schiffermüller], 1775) = C. petrificella (Hübner, 1796) syn. nov., C. hannemanni Alberti, 1967, C. orientellus (Herrich-Schäffer, 1850), C. spodiellus (Rebel, 1916), C. trichostomus (Christoph, 1858), C. lythargyrella (Hübner, 1796), C. domaviellus (Rebel, 1904), C. nikai sp. nov., C. richteri sp. nov., C. kasyi Błeszyński, 1960, C. korab sp. nov., C. plat sp. nov., C. sarplanina sp. nov., and C. biformellus (Rebel, 1893). Neotypes of C. combinella, C. petrificella, C. orientellus and C. lythargyrella are designated to fix the identity of these names. All species are fully illustrated, females of C. hannemanni for the first time. Finally, DNA barcodes are provided for a selection of available species and applied for an integrative species delimitation.