cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.af4ncd
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria vicina"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009840-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/g8r-zw5-4el
title: Allium L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sbk-9tk-r8d
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.fbj994
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galion aparinum, Galium aculeatissimum, Galium aculeatissimum, Galium adhaerens, Galium aparine angustifolium, Galium aparine intermedium, Galium aparine latifolium, Galium aparine agreste, Galium aparine subsp. aparine x Galium aparine subsp. aparinella, Galium aparine agreste)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009838-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0qq-ry0-tny
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bwc-sz2-9k3
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pv8-ecn-ka0
title: Prospero autumnale (L.) Speta

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sal-r8k-7ea
title: Equisetum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8hc-ynh-151
title: Cyclamen graecum Link

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fjj-1f3-lrj
title: Bonannia graeca (L.) Halácsy

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3xl-ktp-04j
title: Cyclamen graecum Link

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v2h-7r7-hgs
title: Narcissus serotinus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/khg-rmv-c2w
title: Scilla L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.y4n9v6
title: Occurrence Download

description: A dataset containing 240 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 (Callipepla californica)",
 "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 240 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009841-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/m2b-4vy-7bt
title: Prospero autumnale (L.) Speta

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y3r-hzv-pt4
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/66x-bsx-acz
title: Scilla L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/stx-st1-2mm
title: Cyclamen hederifolium Aiton

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0ar-0kr-s5e
title: Cyclamen L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/k2d-pxh-j2a
title: Sternbergia lutea subsp. greuteriana (Kamari & R.Artelari) Strid

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fte-lsv-czs
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yns-8e6-zvr
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6mx-xxc-sbt
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/va4-78r-x5d
title: Prospero elisae Speta

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dfb-219-9x3
title: Allium frigidum Boiss. & Heldr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v6r-ld0-648
title: Muscari neglectum Guss. ex Ten.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kk9-4z8-275
title: Allium bourgeaui subsp. cycladicum Bothmer

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/x4r-9l7-p6f
title: Prospero Salisb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.pp5au3
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterois volitans",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 653 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009837-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cla-tcw-swr
title: Cyclamen graecum Link

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w7j-7lk-gbm
title: Ornithogalum narbonense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/a6m-rd5-660
title: Prospero autumnale (L.) Speta

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/shc-zcc-qcc
title: Colchicum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9jb-j3n-wp2
title: Polystichum lonchitis (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/s1y-fm7-5lp
title: Melampyrum nemorosum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.b5bmtm
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptospora inconspicua"
 ]
}

 The dataset includes 21 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009839-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/fcf-jcq-qmm
title: Senecio gallicus Chaix

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.5y2xpa
title: Occurrence Download

description: A dataset containing 81976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates sylvaticus)"
 ]
}

 The dataset includes 81976 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009820-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/arz-23x-chc
title: Helianthemum leptophyllum Dunal

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.y993gz
title: Occurrence Download

description: A dataset listing the 57 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae, Tracheophyta, Magnoliopsida, Liliopsida)",
 "StateProvince is one of (magdalena)",
 "Geometry POLYGON((-74.233 11.21237,-74.2343 11.18746,-74.20516 11.18143,-74.19327 11.20765,-74.233 11.21237))"
 ]
 }
 ]
}

 The dataset's 57 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003641-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005612
title: 小麦新品种“中科麦1819”
DOI: 10.17632/kfxjbhw6t9
title: Intensifying Drought in the Nile River Basin (NRB) under Climate Change: Increasing Influence of Atmospheric Evaporative Demand

description: Daily ensemble-mean SPEI was derived from precipitation and atmospheric evaporative demand based on outputs from 12 NEX-GDDP-CMIP6 GCMs under climate change scenarios.
DOI: 10.17632/kfxjbhw6t9.1
title: Intensifying Drought in the Nile River Basin (NRB) under Climate Change: Increasing Influence of Atmospheric Evaporative Demand

description: Daily ensemble-mean SPEI was derived from precipitation and atmospheric evaporative demand based on outputs from 12 NEX-GDDP-CMIP6 GCMs under climate change scenarios.
DOI: 10.17632/8yfrm6z9dx
title: PolyglotFakeFacts: A multilingual dataset of fake and real news across politics, security, and social domains_v2.0

description: PolyglotFakeFacts v2.0 is an updated and expanded version of the original dataset (V1, DOI: 10.17632/gff8bmr4ff.1), published in February 2026. This version incorporates newly obtained data, providing an enriched and more comprehensive multilingual resource for fake and real news detection research. The dataset now comprises 10,206 articles in total — 4,912 fake news entries and 5,294 real/true news entries — collected from online sources across 18 languages: Arabic, Armenian, Azerbaijani, Bulgarian, Czech, English, Finnish, French, Georgian, German, Hungarian, Italian, Lithuanian, Romanian, Russian, Slovak, Spanish, and Swedish. Each article is available both in its original language and in an English translated version. To ensure balance, real news was collected from sources covering each of the 18 languages represented in the fake news subset.
PolyglotFakeFacts is a multilingual dataset designed to support research on the detection of fake and real news across diverse domains such as politics, geopolitics, security, social issues, and military affairs. Fake news articles were sourced from outlets flagged by EUvsDisinfo — the flagship project of the East StratCom Task Force within the EEAS (European External Action Service) — while real news was curated from official and editorially credible sources in each represented language. The research hypothesis underpinning this dataset is that linguistic and contextual markers of misinformation can be systematically identified across multiple languages, enabling the development of more robust and generalizable fake news detection models. Among the key findings is that fake news articles often display recurring linguistic and structural patterns regardless of the language, while real news tends to follow more standardized journalistic conventions. This suggests that multilingual approaches to fake news detection could leverage both cross-linguistic similarities and domain-specific features.
Each entry in the dataset is structured around ten fields: gathering date, news date, URL, source name, language, keywords, original headline, original text, English-translated text, and label (fake/non-fake). All samples were pre-processed to ensure consistent formatting and removal of duplicates. This dataset can be interpreted and used by researchers aiming to: train and evaluate machine learning and deep learning models for fake news classification, perform cross-lingual and multilingual comparative studies, and investigate the linguistic, semantic, and thematic characteristics of misinformation. By providing a curated, multilingual, and domain-diverse resource, PolyglotFakeFacts enables the community to develop more transparent, explainable, and resilient AI models for combating online misinformation.
DOI: 10.17632/8yfrm6z9dx.1
title: PolyglotFakeFacts: A multilingual dataset of fake and real news across politics, security, and social domains_v2.0

description: PolyglotFakeFacts v2.0 is an updated and expanded version of the original dataset (V1, DOI: 10.17632/gff8bmr4ff.1), published in February 2026. This version incorporates newly obtained data, providing an enriched and more comprehensive multilingual resource for fake and real news detection research. The dataset now comprises 10,206 articles in total — 4,912 fake news entries and 5,294 real/true news entries — collected from online sources across 18 languages: Arabic, Armenian, Azerbaijani, Bulgarian, Czech, English, Finnish, French, Georgian, German, Hungarian, Italian, Lithuanian, Romanian, Russian, Slovak, Spanish, and Swedish. Each article is available both in its original language and in an English translated version. To ensure balance, real news was collected from sources covering each of the 18 languages represented in the fake news subset.
PolyglotFakeFacts is a multilingual dataset designed to support research on the detection of fake and real news across diverse domains such as politics, geopolitics, security, social issues, and military affairs. Fake news articles were sourced from outlets flagged by EUvsDisinfo — the flagship project of the East StratCom Task Force within the EEAS (European External Action Service) — while real news was curated from official and editorially credible sources in each represented language. The research hypothesis underpinning this dataset is that linguistic and contextual markers of misinformation can be systematically identified across multiple languages, enabling the development of more robust and generalizable fake news detection models. Among the key findings is that fake news articles often display recurring linguistic and structural patterns regardless of the language, while real news tends to follow more standardized journalistic conventions. This suggests that multilingual approaches to fake news detection could leverage both cross-linguistic similarities and domain-specific features.
Each entry in the dataset is structured around ten fields: gathering date, news date, URL, source name, language, keywords, original headline, original text, English-translated text, and label (fake/non-fake). All samples were pre-processed to ensure consistent formatting and removal of duplicates. This dataset can be interpreted and used by researchers aiming to: train and evaluate machine learning and deep learning models for fake news classification, perform cross-lingual and multilingual comparative studies, and investigate the linguistic, semantic, and thematic characteristics of misinformation. By providing a curated, multilingual, and domain-diverse resource, PolyglotFakeFacts enables the community to develop more transparent, explainable, and resilient AI models for combating online misinformation.
DOI: 10.17632/y87mt7m2nx
title: Top 9 Allergens in Top 100 Food and Pharmaceutical Products

description: This data set contains an AI-driven risk assesment to evaluate the potential for the presence of top 9 allergens plus gluten in the top 100 most purchased food products and prescribed oral pharmaceutical products.
DOI: 10.17632/y87mt7m2nx.1
title: Top 9 Allergens in Top 100 Food and Pharmaceutical Products

description: This data set contains an AI-driven risk assesment to evaluate the potential for the presence of top 9 allergens plus gluten in the top 100 most purchased food products and prescribed oral pharmaceutical products.
DOI: 10.15468/dl.f767bh
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 (Rhinella margaritifera)",
 "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/0077505-250717081556266/datasets/export for details.
DOI: 10.15468/dl.bu62nk
title: Occurrence Download

description: A dataset containing 155 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 (Mustela putorius)",
 "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 155 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077507-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/iw73uu/y27xdm
title: KAN_M_month.csv

description: Uploaded with pyDataverse 2025-06-01 14:13
DOI: 10.22008/fk2/iw73uu/anghe2
title: KAN_M_hour.nc

description: Uploaded with pyDataverse 2025-06-01 14:13
DOI: 10.22008/fk2/iw73uu/iiblv7
title: KAN_M_month.nc

description: Uploaded with pyDataverse 2025-06-01 14:13
DOI: 10.22008/fk2/iw73uu/eiglv8
title: KAN_M_day.csv

description: Uploaded with pyDataverse 2025-06-01 14:13
DOI: 10.22008/fk2/iw73uu/vh7wy6
title: NSE_month.csv

description: Uploaded with pyDataverse 2025-06-01 14:14
DOI: 10.22008/fk2/iw73uu/gefwm5
title: NSE_day.csv

description: Uploaded with pyDataverse 2025-06-01 14:14
DOI: 10.22008/fk2/iw73uu/r2kdwp
title: NSE_day.nc

description: Uploaded with pyDataverse 2025-06-01 14:14
DOI: 10.22008/fk2/iw73uu/v4kvhj
title: NSE_hour.csv

description: Uploaded with pyDataverse 2025-06-01 14:15
DOI: 10.22008/fk2/iw73uu/ms5jeo
title: NSE_hour.nc

description: Uploaded with pyDataverse 2025-06-01 14:15
DOI: 10.22008/fk2/iw73uu/rbsfgz
title: NSE_month.nc

description: Uploaded with pyDataverse 2025-06-01 14:15
DOI: 10.22008/fk2/iw73uu/ygdiqx
title: NUK_L_hour.csv

description: Uploaded with pyDataverse 2025-06-01 14:16
DOI: 10.22008/fk2/iw73uu/zqmalb
title: NUK_L_month.nc

description: Uploaded with pyDataverse 2025-06-01 14:16
DOI: 10.22008/fk2/iw73uu/1byzrf
title: NUK_L_day.csv

description: Uploaded with pyDataverse 2025-06-01 14:16
DOI: 10.22008/fk2/iw73uu/gnix10
title: NUK_L_month.csv

description: Uploaded with pyDataverse 2025-06-01 14:16
DOI: 10.22008/fk2/iw73uu/zfl3cl
title: NUK_L_hour.nc

description: Uploaded with pyDataverse 2025-06-01 14:17
DOI: 10.22008/fk2/iw73uu/hjorc6
title: NUK_L_day.nc

description: Uploaded with pyDataverse 2025-06-01 14:17
DOI: 10.22008/fk2/iw73uu/a1rxrx
title: SDM_month.nc

description: Uploaded with pyDataverse 2025-06-01 14:17
DOI: 10.25934/pr00012581.0
title: Available datapackage for study 'COVID-19 Test At Home Feasibility Sub-Study'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.22008/fk2/iw73uu/ssxxu0
title: SDM_hour.nc

description: Uploaded with pyDataverse 2025-06-01 14:18
DOI: 10.22008/fk2/iw73uu/5zwnwu
title: SDM_hour.csv

description: Uploaded with pyDataverse 2025-06-01 14:18
DOI: 10.22008/fk2/iw73uu/cf3qwn
title: SDM_day.nc

description: Uploaded with pyDataverse 2025-06-01 14:18
DOI: 10.22008/fk2/iw73uu/ien6mp
title: SDM_day.csv

description: Uploaded with pyDataverse 2025-06-01 14:19
DOI: 10.22008/fk2/iw73uu/xyglps
title: SDM_month.csv

description: Uploaded with pyDataverse 2025-06-01 14:19
DOI: 10.5281/zenodo.18673910
title: Prognostic Value of Artificial Intelligence–Based Risk Prediction Models in Myocardial Perfusion Imaging: A Systematic Review and Meta-Analysis