cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17597339
title: Wastewater-based and case-based Surveillance data for monitoring COVID-19 in Germany, 2022–2025

description: The dataset comprises wastewater-based and case-based indicators for COVID-19 monitoring in Germany over a 170-week period from mid-2022 to September 2025. The dataset includes nationally aggregated, population-weighted wastewater viral loads and four case-based surveillance systems. These systems comprise two syndromic surveillance systems at the population, one primary care-level system, and one system based on laboratory-confirmed notification data. The indicators derived from these case-based systems aim at quantifying the COVID-19 incidence at population level in Germany. The dataset allows for the assessment of the responsiveness and interpretability of wastewater viral loads relative to case-based systems measuring incidence.
DOI: 10.5281/zenodo.17597468
title: CLDF Numeralbank Analysed

description: Cite the source of the dataset as:




Bibiko, H.-H.; Koile, E.; Barlow, R.; Mamta, K.; Korobzow, N.; Appiah Tieku, E.; Rzymski, C.; List, J.-M.; Gray, R. D. (2025): Numeralbank. A Collection of Numeral Systems of the World's Languages. Leipzig: Max Planck Institute for Evolutionary Anthropology.
DOI: 10.15468/dl.eb23w9
title: Occurrence Download

description: A dataset containing 554903 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer campestre"
 ]
}

 The dataset includes 554903 records from 2924 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030346-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6229714
title: Miscellanies [IO Islamic 2448] دلائل الخیرات and other texts

description: Miscellanies.

This manuscript is now IO Islamic 2448 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 1048 here with further notations and hyperlinks].


1048.

2448. Size 91/4 in. by 71/2 in.; foll. 126. From nine to eleven lines in a page.

I. Foll.1-24. A treatise on Muḥammad’s Ascent (المعراج).

Begins:

سُبْحَانَ اْللهِ اْلذِّی أسْرَی بِعَبْدِهِ الخ (Sû. 17, 1).

II. Foll. 24v.-65. A treatise in Javanese, in the Arabic character; which, according to the Arabic conclusion, is on the same subject as the preceding.

III. Foll 66-70r. Another Javanese treatise, on the first Sûrah.

IV. Foll.70v.-126. JAZÛLÎ’S دلائل الخیرات (see no. 350).

Written in a large hand, apparently in Java.
DOI: 10.5281/zenodo.6229715
title: Miscellanies [IO Islamic 2448] دلائل الخیرات and other texts

description: Miscellanies.

This manuscript is now IO Islamic 2448 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 1048 here with further notations and hyperlinks].


1048.

2448. Size 91/4 in. by 71/2 in.; foll. 126. From nine to eleven lines in a page.

I. Foll.1-24. A treatise on Muḥammad’s Ascent (المعراج).

Begins:

سُبْحَانَ اْللهِ اْلذِّی أسْرَی بِعَبْدِهِ الخ (Sû. 17, 1).

II. Foll. 24v.-65. A treatise in Javanese, in the Arabic character; which, according to the Arabic conclusion, is on the same subject as the preceding.

III. Foll 66-70r. Another Javanese treatise, on the first Sûrah.

IV. Foll.70v.-126. JAZÛLÎ’S دلائل الخیرات (see no. 350).

Written in a large hand, apparently in Java.
DOI: 10.15468/dl.mydxtv
title: Occurrence Download

description: A dataset containing 1102321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "TaxonKey is one of (Chordata, Arthropoda, Mollusca, Cnidaria, Echinodermata, Porifera, Annelida, Ctenophora, Platyhelminthes)"
 ]
}

 The dataset includes 1102321 records from 807 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyzcnf
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "Geometry POLYGON((59.14556 58.8433,61.1463 58.47588,61.88522 59.12972,62.97087 68.67888,55.65251 69.1474,53.80402 58.92315,59.14556 58.8433))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Entoloma"
 ]
}

 The dataset includes 180 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnp7xh
title: Occurrence Download

description: A dataset containing 1864418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.0538 5.94836,-72.02079 5.94836,-72.02079 7.54663,-74.0538 7.54663,-74.0538 5.94836))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1864418 records from 756 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17701540
title: Results LHM 2011-2018
DOI: 10.5281/zenodo.17701539
title: Results LHM 2011-2018
DOI: 10.15468/dl.3t292f
title: Occurrence Download

description: A dataset containing 1802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28.8_1",
 "OccurrenceStatus is Present",
 "Year 2023-2024"
 ]
}

 The dataset includes 1802 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sj3xhvmz44
title: LIFR antagonism reverses epithelial pro-CAF programs in pancreatic ductal adenocarcinoma

description: In PDAC cancer cells, MIAPaCa-2 cells, LIF induced a coordinated transcriptional network encompassing inflammatory mediators, paracrine fibroblast-activating signals and ECM/mechanotransductive modules, while repressing stromal-inhibitory genes. These signatures were recapitulated in PDAC tissues, where LIF expression directly correlated with CAF, iCAF and myCAF markers and with stromal remodelling genes.
DOI: 10.17632/sj3xhvmz44.1
title: LIFR antagonism reverses epithelial pro-CAF programs in pancreatic ductal adenocarcinoma

description: In PDAC cancer cells, MIAPaCa-2 cells, LIF induced a coordinated transcriptional network encompassing inflammatory mediators, paracrine fibroblast-activating signals and ECM/mechanotransductive modules, while repressing stromal-inhibitory genes. These signatures were recapitulated in PDAC tissues, where LIF expression directly correlated with CAF, iCAF and myCAF markers and with stromal remodelling genes.
DOI: 10.15468/dl.5ta7av
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanilla pompona"
 ]
}

 The dataset includes 135 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006052-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vewpp
title: Occurrence Download

description: A dataset containing 14632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "TaxonKey is Limulus polyphemus",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 14632 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmf7fp
title: Occurrence Download

description: A dataset containing 144638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Symplocos"
 ]
}

 The dataset includes 144638 records from 887 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006001-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rytxu
title: Occurrence Download

description: A dataset containing 2713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-48.52943 -1.51724,-48.07442 -1.51724,-48.07442 -1.23319,-48.52943 -1.23319,-48.52943 -1.51724))"
 ]
}

 The dataset includes 2713 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013663-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wv36jq
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nibea albiflora (Richardson, 1846)",
 "Year 2000-2025"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013664-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwr53n
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mustela africana Desmarest, 1818"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001128-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9zznb
title: Occurrence Download

description: A dataset containing 164211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Motacilla tschutschensis Gmelin, 1789"
 ]
}

 The dataset includes 164211 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011926-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzmubf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((8.6827 2.71,8.9648 2.8113,8.9648 10.8496,-0.0352 10.8496,-0.0352 5.0957,0.3816 5.278,1.1532 5.3393,1.5603 5.6976,3.8925 5.9309,4.2618 5.8773,4.5416 5.6356,5.1549 4.4105,5.7546 3.8683,6.2396 3.7859,8.2757 4.0386,7.9361 3.4903,8.1439 2.8795,8.6827 2.71))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010581-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2hba8
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Calopogonium mucunoides Desv."
 ]
}

 The dataset includes 276 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015739-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12038691
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.suhsa9
title: Occurrence Download

description: A dataset containing 602 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 (Vulpes vulpes (Linnaeus, 1758))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 602 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015740-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15578127
title: FONETIKANI O'RGANISHDA "AKVARIUM" METODIDAN FOYDALANNING O'ZIGA XOSLIGI.
DOI: 10.5281/zenodo.15578128
title: FONETIKANI O'RGANISHDA "AKVARIUM" METODIDAN FOYDALANNING O'ZIGA XOSLIGI.
DOI: 10.5281/zenodo.15547157
title: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models (resultados)

description: Descrición (Galego)

Presentamos tres ficheiros CSV cos resultados obtidos na avaliación da tradución automática para os pares lingüísticos inglés-galego (resultados_SEPLN_2025_en2gl.csv), español-galego (resultados_SEPLN_2025_es2gl.csv) e portugués-galego (resultados_SEPLN_2025_pt2gl.csv) en ambas direccións de tradución. Estes datos inclúen os resultados en BLEU, chrF, TER e COMET para unha ampla variedade de modelos, desde sistemas baseados en regras (RBMT) ata grandes modelos de linguaxe (LLMs). Os resultados forman parte do artigo presentado na SEPLN 2025: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models.

Description (English)

We present three CSV files containing the results of machine translation evaluation for the English-Galician (resultados_SEPLN_2025_en2gl.csv), Spanish-Galician (resultados_SEPLN_2025_es2gl.csv), and Portuguese-Galician (resultados_SEPLN_2025_pt2gl.csv) language pairs. The datasets include the BLEU, chrF, TER and COMET for a wide range of models, from rule-based systems (RBMT) to large language models (LLMs). These results are part of the paper presented at SEPLN 2025: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models.
DOI: 10.5281/zenodo.15547513
title: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models (resultados)

description: Descrición (Galego)

Presentamos tres ficheiros CSV cos resultados obtidos na avaliación da tradución automática para os pares lingüísticos inglés-galego (resultados_SEPLN_2025_en2gl.csv), español-galego (resultados_SEPLN_2025_es2gl.csv) e portugués-galego (resultados_SEPLN_2025_pt2gl.csv) en ambas direccións de tradución. Estes datos inclúen os resultados en BLEU, chrF, TER e COMET para unha ampla variedade de modelos, desde sistemas baseados en regras (RBMT) ata grandes modelos de linguaxe (LLMs). Os resultados forman parte do artigo presentado na SEPLN 2025: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models.

Description (English)

We present three CSV files containing the results of machine translation evaluation for the English-Galician (resultados_SEPLN_2025_en2gl.csv), Spanish-Galician (resultados_SEPLN_2025_es2gl.csv), and Portuguese-Galician (resultados_SEPLN_2025_pt2gl.csv) language pairs. The datasets include the BLEU, chrF, TER and COMET for a wide range of models, from rule-based systems (RBMT) to large language models (LLMs). These results are part of the paper presented at SEPLN 2025: From Rule-Based to LLMs: A Performance and Variability Analysis of Galician Machine Translation Models.
DOI: 10.15468/dl.3ygafh
title: Occurrence Download

description: A dataset containing 93106 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is African fish collection of the Africamuseum"
 ]
}

 The dataset includes 93106 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030384-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj533h
title: Occurrence Download

description: A dataset containing 45212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osteoglossiformes"
 ]
}

 The dataset includes 45212 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030399-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17597405
title: Field measurements and modelling calculation dataset related to the Late Pleistocene palaeotsunami deposits along the coasts of Hergla and Chebba (NE Tunisia)

description: This dataset contains Field measurements and modelling calculation to investigate the palaeotsunami deposits identified along the Hergla and Chebba coastal areas (northeast Tunisia). The dataset supports interpretations presented in the associated publication submitted to *Marine Geology* (2025).
DOI: 10.5281/zenodo.17597404
title: Field measurements and modelling calculation dataset related to the Late Pleistocene palaeotsunami deposits along the coasts of Hergla and Chebba (NE Tunisia)

description: This dataset contains Field measurements and modelling calculation to investigate the palaeotsunami deposits identified along the Hergla and Chebba coastal areas (northeast Tunisia). The dataset supports interpretations presented in the associated publication submitted to *Marine Geology* (2025).
DOI: 10.34740/kaggle/dsv/13716190
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.17597397
title: Generative AI in Disease Diagnosis

description: Generative Artificial Intelligence (AI) has become a revolutionary force in disease diagnosis by leveraging vast medical datasets, advanced deep learning algorithms, and AI-based tools for automated medical analysis. When clinical images such as X-rays, MRI, and CT scans are input, generative AI systems analyze them using models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) to identify abnormal patterns, reconstruct images, and support diagnostic decision-making. These models can generate synthetic medical data to enhance model training, improve diagnostic accuracy, and overcome challenges of data scarcity while maintaining patient privacy. In clinical settings, generative AI aids physicians by automating image interpretation, summarizing electronic health records (EHRs), and suggesting possible disease outcomes based on learned patterns. Through integration with large datasets and AI tools, it enhances early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions. However, its deployment requires strong governance, data quality assurance, and ethical considerations to mitigate bias, ensure transparency, and protect patient confidentiality. Frameworks such as the Technology Acceptance Model (TAM) and NASSS (Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability) guide responsible adoption of generative AI in healthcare. Overall, generative AI holds transformative potential in disease diagnosis, enabling faster, more accurate, and personalized healthcare when implemented with scientific rigor and human oversight
DOI: 10.5281/zenodo.17597396
title: Generative AI in Disease Diagnosis

description: Generative Artificial Intelligence (AI) has become a revolutionary force in disease diagnosis by leveraging vast medical datasets, advanced deep learning algorithms, and AI-based tools for automated medical analysis. When clinical images such as X-rays, MRI, and CT scans are input, generative AI systems analyze them using models like Generative Adversarial Networks (GANs) and Large Language Models (LLMs) to identify abnormal patterns, reconstruct images, and support diagnostic decision-making. These models can generate synthetic medical data to enhance model training, improve diagnostic accuracy, and overcome challenges of data scarcity while maintaining patient privacy. In clinical settings, generative AI aids physicians by automating image interpretation, summarizing electronic health records (EHRs), and suggesting possible disease outcomes based on learned patterns. Through integration with large datasets and AI tools, it enhances early detection of diseases such as cancer, cardiovascular disorders, and neurological conditions. However, its deployment requires strong governance, data quality assurance, and ethical considerations to mitigate bias, ensure transparency, and protect patient confidentiality. Frameworks such as the Technology Acceptance Model (TAM) and NASSS (Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability) guide responsible adoption of generative AI in healthcare. Overall, generative AI holds transformative potential in disease diagnosis, enabling faster, more accurate, and personalized healthcare when implemented with scientific rigor and human oversight
DOI: 10.15468/dl.2rv86h
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Finland",
 "Geometry POLYGON((22.24776 59.73637,22.85788 59.73637,22.85788 60.25717,22.24776 60.25717,22.24776 59.73637))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parnassius apollo"
 ]
}

 The dataset includes 315 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030401-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/f90z-hh14
title: "In-Situ Observation Probe Device Data Collection Set"

description: "This dataset consists of XYZ tri-axial acceleration data, along with temperature and pressure data, recorded by the in-situ observation probe during laboratory experiments and shallow sea trials."