cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jfsj2q
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-49.52637 -31.80289,-43.98926 -23.32208,-56.20605 -20.05593,-58.93066 -29.30556,-49.52637 -31.80289))",
 "HasCoordinate is true",
 "TaxonKey is Lophosoria quadripinnata (J.F.Gmel.) C.Chr.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 54 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016789-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id278731.1
title: StrainInfo SI-ID 278731.1

description: StrainInfo dataset 278731 about a strain of Aspergillus candidus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id278732.1
title: StrainInfo SI-ID 278732.1

description: StrainInfo dataset 278732 about a strain of Alternaria solani. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.vcbegx
title: Occurrence Download

description: A dataset containing 1101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eranthemum pulchellum Andrews, Eranthemum pulchellum (Roxb.) Roxb., Eranthemum pulchellum var. purpurascens (Nees) Kuntze, Eranthemum pulchellum var. varians (Vent.), Eranthemum pulchellum var. roseum (Vahl) Kuntze)"
 ]
}

 The dataset includes 1101 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083070-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id278733.1
title: StrainInfo SI-ID 278733.1

description: StrainInfo dataset 278733 about a strain of Lichtheimia blakesleeana. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.3b7s2n
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea aegialophila Wagenitz, 1974",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293117-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id278597.1
title: StrainInfo SI-ID 278597.1

description: StrainInfo dataset 278597 about a strain of Helminthosporium. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id278598.1
title: StrainInfo SI-ID 278598.1

description: StrainInfo dataset 278598 about a strain of Paecilomyces. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.3zczpj
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hedysarum caucasicum M.Bieb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 174 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416033-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cph4cs
title: Occurrence Download

description: A dataset containing 237244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, Svalbard and Jan Mayen, Portugal, Spain, France, Germany, Belgium, Netherlands, Denmark, Estonia, Latvia, Lithuania, Italy, Greece, Cyprus, Türkiye, Russian Federation, Ukraine, Romania, Bulgaria, Albania, Croatia, Austria, Slovakia, Poland)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cynosurus cristatus L."
 ]
}

 The dataset includes 237244 records from 1484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083048-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gh79ce
title: Occurrence Download

description: A dataset containing 245866 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petromyzontiformes"
 ]
}

 The dataset includes 245866 records from 489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279729-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvc68m
title: Occurrence Download

description: A dataset containing 13103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Uria lomvia (Linnaeus, 1758)"
 ]
}

 The dataset includes 13103 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049187-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnjtws
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptanthus breweri A.Gray"
 ]
}

 The dataset includes 473 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150472-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zttgdf
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eilicrinia parvula Wehrli, 1940",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129236-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubv43w
title: Occurrence Download

description: A dataset containing 123379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania, Europe, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Picea A.Dietr."
 ]
}

 The dataset includes 123379 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119596-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja6sm5
title: Occurrence Download

description: A dataset containing 11864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-20.36041 -55.49878,206.01527 -55.49878,206.01527 52.19372,-20.36041 52.19372,-20.36041 -55.49878))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mallotus Lour.",
 "Year 1900-1990"
 ]
}

 The dataset includes 11864 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239812-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.526pp9
title: Occurrence Download

description: A dataset containing 2184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-23.78507 -57.57663,181.97909 -57.57663,181.97909 28.89574,-23.78507 28.89574,-23.78507 -57.57663))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Barringtonia J.R.Forst. & G.Forst.",
 "Year 1900-1990"
 ]
}

 The dataset includes 2184 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250555-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k5uah
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Batrachuperus londongensis Liu & Tian, 1978"
 ]
}

 The dataset includes 180 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119801-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muwbys
title: Occurrence Download

description: A dataset containing 28817 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.15.102_2)",
 "StateProvince is one of (cundinamarca)"
 ]
 }
 ]
}

 The dataset includes 28817 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127695-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jysyz
title: Occurrence Download

description: A dataset containing 2608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Persea americana Mill."
 ]
}

 The dataset includes 2608 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262231-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6uju8
title: Occurrence Download

description: A dataset containing 804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)"
 ]
}

 The dataset includes 804 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119803-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2krje
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amakusanthura correa (Poore & Lew Ton, 1985)"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112345-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8ypv8
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clusia huberi Pipoly"
 ]
}

 The dataset includes 399 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279719-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pau5er
title: Occurrence Download

description: A dataset containing 148438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterus salmoides (Lacepède, 1802)"
 ]
}

 The dataset includes 148438 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119697-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9nuke
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "TaxonKey is Pusa hispida",
 "Year 2006-2026"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016605-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtp8k5
title: Occurrence Download

description: A dataset containing 27845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salsola tragus"
 ]
}

 The dataset includes 27845 records from 534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016603-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18506979
title: Dataset of "Shape-Sensitive Fragmentation in Mass Spectrometry Informs Structural Differences of Thiolated Gold Nanoclusters"

description: This is a dataset associated with an unpublished article "Shape-Sensitive Fragmentation in Mass Spectrometry Informs Structural Differences of Thiolated Gold Nanoclusters".

This dataset includes the following: cif files of the Au NCs (one .cif file currently not available due to publication reasons), MS raw data (Waters format), and data processing files for Figure 1-5 in the article.

Article DOI: xxx
DOI: 10.5281/zenodo.18507526
title: IMMUNITETNI MUSTAHKAMLASHDA SOG'LOM TURMUSH TARZINING O'RNI. MOLEKULYAR-HUJAYRAVIY MEXANIZMLAR, EPIGENETIK OMILLAR VA KLINIK-PROFILAKTIK STRATEGIYALAR

description: Ushbu keng qamrovli ilmiy maqolada inson organizmining immun tizimi barqarorligini ta’minlashda sog‘lom turmush tarzining (STT) tutgan o‘rni fundamental, molekulyar va klinik jihatdan tahlil qilinadi. Tadqiqotning dolzarbligi global ekologik inqiroz, urbanizatsiya natijasidagi gipodinamiya, noto‘g‘ri ovqatlanish va surunkali psixo-emosional stress sharoitida organizmning tabiiy himoya kuchlarini saqlash zaruriyati bilan belgilanadi. Maqolada to‘g‘ri ovqatlanish, muntazam jismoniy faollik, uyqu gigiyenasi hamda psixo-emosional barqarorlikning immunokompetent hujayralar — T va B-limfotsitlar, makrofaglar, dendrit hujayralari hamda tabiiy killerlar (NK-cells) faolligiga ta’siri molekulyar darajada, jumladan, sitokinlar balansi va immun javob signallarining uzatilishi kesimida o‘rganilgan. O‘zbekiston kardiologiya, dietologiya va immunologiya maktablari vakillarining ilmiy izlanishlari asosida aholi genofondini saqlashda STTning roli yoritilgan. Tadqiqot natijalari shuni ko‘rsatadiki, STT tamoyillariga tizimli amal qilish nafaqat infeksion va virusli patologiyalar, balki onkologik, autoimmun va surunkali yallig‘lanish jarayonlarining ham oldini olishda asosiy strategik va patogenetik omil hisoblanadi.
DOI: 10.5281/zenodo.18507525
title: IMMUNITETNI MUSTAHKAMLASHDA SOG'LOM TURMUSH TARZINING O'RNI. MOLEKULYAR-HUJAYRAVIY MEXANIZMLAR, EPIGENETIK OMILLAR VA KLINIK-PROFILAKTIK STRATEGIYALAR

description: Ushbu keng qamrovli ilmiy maqolada inson organizmining immun tizimi barqarorligini ta’minlashda sog‘lom turmush tarzining (STT) tutgan o‘rni fundamental, molekulyar va klinik jihatdan tahlil qilinadi. Tadqiqotning dolzarbligi global ekologik inqiroz, urbanizatsiya natijasidagi gipodinamiya, noto‘g‘ri ovqatlanish va surunkali psixo-emosional stress sharoitida organizmning tabiiy himoya kuchlarini saqlash zaruriyati bilan belgilanadi. Maqolada to‘g‘ri ovqatlanish, muntazam jismoniy faollik, uyqu gigiyenasi hamda psixo-emosional barqarorlikning immunokompetent hujayralar — T va B-limfotsitlar, makrofaglar, dendrit hujayralari hamda tabiiy killerlar (NK-cells) faolligiga ta’siri molekulyar darajada, jumladan, sitokinlar balansi va immun javob signallarining uzatilishi kesimida o‘rganilgan. O‘zbekiston kardiologiya, dietologiya va immunologiya maktablari vakillarining ilmiy izlanishlari asosida aholi genofondini saqlashda STTning roli yoritilgan. Tadqiqot natijalari shuni ko‘rsatadiki, STT tamoyillariga tizimli amal qilish nafaqat infeksion va virusli patologiyalar, balki onkologik, autoimmun va surunkali yallig‘lanish jarayonlarining ham oldini olishda asosiy strategik va patogenetik omil hisoblanadi.
DOI: 10.17026/ar/0cqpxn
title: Veldweg Aalten

description: &lt;p&gt;KSP Archeologie heeft een archeologisch bureauonderzoek en inventariserend veldonderzoek, verkennende fase (IVO-(O)verig); booronderzoek) uitgevoerd voor de locatie aan de Veldweg in Aalten (gemeente Aalten). Het onderzoek is uitgevoerd voor de aanvraag van een omgevingsvergunning voor het aanplanten van een bos.&lt;/p&gt;&lt;p&gt;

Het doel van het archeologisch bureauonderzoek was het opstellen van een gespecificeerde archeologische verwachting voor het plangebied. Op basis van de landschappelijke ligging binnen een deels verspoelde dekzandvlakte is aan het plangebied een lage verwachting toegekend voor zowel vuursteenvindplaatsen uit het Laat-Paleolithicum tot en met het Neolithicum als voor nederzettingsresten uit het Neolithicum tot en met de Volle Middeleeuwen (tot in de 13e eeuw). Voor de Late Middeleeuwen (vanaf de 13e eeuw) tot en met de Nieuwe tijd is op basis van de historische ontwikkeling een lage verwachting aan het plangebied toegekend.&lt;/p&gt;&lt;p&gt;

Vervolgens is deze verwachting getoetst door middel van een inventariserend veldonderzoek, verkennende fase. Uit het booronderzoek is gebleken dat er sprake is van een ten dele verspoelde dekzandvlakte, waar zich waarschijnlijk vlakvaaggronden hebben ontwikkeld. De grond is grotendeels gediepwoeld tot een diepte van 60-70 cm -mv. Vanwege de lage ligging en daardoor vrij natte omstandigheden binnen het plangebied wordt de kans zeer klein geacht dat er archeologische resten te verwachten zijn. Op basis hiervan blijft de lage verwachting voor zowel vuursteenvindplaatsen uit het Laat-Paleolithicum tot en met het Neolithicum als voor nederzettingsresten uit het Neolithicum tot en met de Volle Middeleeuwen (tot in de 13e eeuw) gehandhaafd. De resultaten van het booronderzoek geven geen aanleiding om de lage verwachting voor resten uit de Late Middeleeuwen (vanaf de 13e eeuw) tot en met de Nieuwe tijd bij te stellen.&lt;/p&gt;&lt;p&gt;

Vanwege de lage ligging en daardoor vrij natte omstandigheden binnen het plangebied wordt de kans zeer klein geacht dat er archeologische resten te verwachten zijn. KSP Archeologie om de archeologische dubbelbestemming te laten vervallen en geen archeologisch vervolgonderzoek uit te voeren.&lt;/p&gt;
DOI: 10.5281/zenodo.18506511
title: SuperDARN data in netCDF format (2015-Jun)

description: 2015-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.17120492
title: Strategic screening of ternary hydrides for high-temperature superconductivity

description: A dataset containing information on potential high-Tc ternary hydride superconductors. It belongs to the publication "Strategic screening of ternary hydrides for high-temperature superconductivity" - Ann. Phys. (Berlin) 538, e00457 (2026).
DOI: 10.5281/zenodo.17120493
title: Strategic screening of ternary hydrides for high-temperature superconductivity

description: A dataset containing information on potential high-Tc ternary hydride superconductors. It belongs to the publication "Strategic screening of ternary hydrides for high-temperature superconductivity" - Ann. Phys. (Berlin) 538, e00457 (2026).
DOI: 10.5281/zenodo.6497492
title: SuperDARN data in netCDF format (2015-Jun)

description: 2015-Jun SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'