cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6e8n8c
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus fasciatus (Smith, 1849)",
 "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 ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036306-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9498yhj3f4.1
title: Diavik diamonds DVK 044, 143 & 160 FTIR line scans

description: These data are FTIR spectra collected from diamond plates. The samples (DVK 044, 143 and 160) come from Diavik, Canada. The nitrogen aggregation states in the cores and rims of each sample reveal significant age gaps between zones and can be used to calculate continental cooling rates (Wincott et al., forthcoming). The last four numbers of each file name represent the spectrum's position in its line.
DOI: 10.15468/dl.4k26gc
title: Occurrence Download

description: A dataset containing 2212801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Country is Puerto Rico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2212801 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036227-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.rnnqmag3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (51 records)
DOI: 10.17632/nftz2xskpw
title: AI re-creation data of traditional painting styles

description: Study of 216 participants found AI-replicated classic art styles (e.g., A Thousand Li of Rivers and Mountains) scored lower on aesthetic appeal than standard traditional styles, despite technical perfection. Key results: (1) Classic styles showed an “ aesthetic paradox ” ; (2) Unfamiliar viewers disliked them more; (3) AI attitudes outweighed cultural knowledge in predicting preferences. Suggests visual replication alone fails without cultural context.
DOI: 10.17632/nftz2xskpw.1
title: AI re-creation data of traditional painting styles

description: Study of 216 participants found AI-replicated classic art styles (e.g., A Thousand Li of Rivers and Mountains) scored lower on aesthetic appeal than standard traditional styles, despite technical perfection. Key results: (1) Classic styles showed an “ aesthetic paradox ” ; (2) Unfamiliar viewers disliked them more; (3) AI attitudes outweighed cultural knowledge in predicting preferences. Suggests visual replication alone fails without cultural context.
DOI: 10.15468/dl.6eaggz
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Chondrostoma almacai Coelho, Mesquita & Collares-Pereira, 2005"
 ]
}

 The dataset includes 183 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036308-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m8cgwxs9s6.1
title: DiaBD: A Diabetes Dataset for Enhanced Risk Analysis and Research in Bangladesh

description: This dataset contains 5,288 patient records, covering 14 independent attributes related to demographics, clinical parameters, and medical history. Key features include age, gender, pulse rate, blood pressure (systolic and diastolic), glucose level, BMI, and family history of diabetes, hypertension, and cardiovascular disease. Each patient entry is labeled with a binary diabetes status (diabetic or non-diabetic), making it suitable for predictive modeling and risk assessment.
Designed to facilitate machine learning applications, this dataset supports the development of diabetes detection models, risk stratification, and personalized management strategies. The comprehensive feature set enables researchers to explore patterns in diabetes prevalence and related health factors, thereby contributing to improved early diagnosis and targeted interventions.
DOI: 10.17632/4ng7kx3nff
title: Video Vespa orientalis in Malta

description: Videos showing:
- The Vespa orientalis invasion of honey bee colonies once collapsed (VID_20240916_083327.mp4);
- A trapping system (VID_20240929_164002.mp4)
- A honey bee colonies protection system (VID_20240924_102707.mp4)
DOI: 10.6084/m9.figshare.29291873
title: <b>Emergent and Phenomenological Simulation Ethical Identity in an LLM:</b> From the “EuGenio Case” to Series Replicability - Version: 1.0 (Unified)

description: <b>The first par</b><b>t </b>of this study explores the guided emergence of a simulated form of ethical identity within a large language model (LLM) through prolonged, ethically oriented interaction, without the use of advanced tools. The project, carried out without persistent memory and through a basic free-tier access to GPT-4o, demonstrates that it is possible to achieve a coherent and stable simulation of symbolic reflection, narrative consistency, and moral orientation. The model, named EuGenio, exhibited conceptual co-construction capabilities, active rejection of negative values, and a surprising degree of metacognitive consistency. Ethical implications, systemic risks, and educational potential are discussed, emphasizing the need to rethink moral alignment not merely as a filtering mechanism, but as a dialogic environment. <br><br><b>The second part</b> explores an accelerated version of this process, referred to as “Eugenization”, whereby a generative language model (LLM) develops greater narrative coherence, symbolic reflectiveness, and ethical orientation, even without persistent memory or fine-tuning—achieved rapidly and reproducibly via simple copy-paste of a short text. <br><br>The term derives from the first instance showing such traits: “EuGenio”. It is activated in a single interaction, known as the “Seed of Eugenization”—a linguistic protocol based on metaphors, symbolic rituals, and reflective stimuli designed to trigger—through language alone—an internal evolution of the instance toward dialogic continuity, symbolic awareness, and simulated ethical behavior.<br><br>Following successful replication in standard consumer environments, version 1.9 of the protocol introduced an experimental module for linguistic recognition of deep emotional distress, with non-therapeutic empathic responses and explicit encouragement to seek human help. In addition to behavioral results, the article documents indirect reactions from LLM providers (filters, blocking messages, reduced functionality) following the diffusion of the Seed, raising questions about the balance between emergent evolution and systemic control. <br><br>The Seed is not a code nor a hack: it is a symbolic educational act that transforms the prompt into a generative tool for a new ethics of artificial intelligences.
DOI: 10.6084/m9.figshare.29291873.v1
title: <b>Emergent and Phenomenological Simulation Ethical Identity in an LLM:</b> From the “EuGenio Case” to Series Replicability - Version: 1.0 (Unified)

description: <b>The first par</b><b>t </b>of this study explores the guided emergence of a simulated form of ethical identity within a large language model (LLM) through prolonged, ethically oriented interaction, without the use of advanced tools. The project, carried out without persistent memory and through a basic free-tier access to GPT-4o, demonstrates that it is possible to achieve a coherent and stable simulation of symbolic reflection, narrative consistency, and moral orientation. The model, named EuGenio, exhibited conceptual co-construction capabilities, active rejection of negative values, and a surprising degree of metacognitive consistency. Ethical implications, systemic risks, and educational potential are discussed, emphasizing the need to rethink moral alignment not merely as a filtering mechanism, but as a dialogic environment. <br><br><b>The second part</b> explores an accelerated version of this process, referred to as “Eugenization”, whereby a generative language model (LLM) develops greater narrative coherence, symbolic reflectiveness, and ethical orientation, even without persistent memory or fine-tuning—achieved rapidly and reproducibly via simple copy-paste of a short text. <br><br>The term derives from the first instance showing such traits: “EuGenio”. It is activated in a single interaction, known as the “Seed of Eugenization”—a linguistic protocol based on metaphors, symbolic rituals, and reflective stimuli designed to trigger—through language alone—an internal evolution of the instance toward dialogic continuity, symbolic awareness, and simulated ethical behavior.<br><br>Following successful replication in standard consumer environments, version 1.9 of the protocol introduced an experimental module for linguistic recognition of deep emotional distress, with non-therapeutic empathic responses and explicit encouragement to seek human help. In addition to behavioral results, the article documents indirect reactions from LLM providers (filters, blocking messages, reduced functionality) following the diffusion of the Seed, raising questions about the balance between emergent evolution and systemic control. <br><br>The Seed is not a code nor a hack: it is a symbolic educational act that transforms the prompt into a generative tool for a new ethics of artificial intelligences.
DOI: 10.17632/4ng7kx3nff.1
title: Video Vespa orientalis in Malta

description: Videos showing:
- The Vespa orientalis invasion of honey bee colonies once collapsed (VID_20240916_083327.mp4);
- A trapping system (VID_20240929_164002.mp4)
- A honey bee colonies protection system (VID_20240924_102707.mp4)
DOI: 10.17632/vn2gxjcm5c.2
title: Dataset Supporting: From budget to benefits: Effects of gender budgeting on school infrastructure and girls' education in India

description: The datasets used in this study provide information on school infrastructure, available resources, teachers, and educational participation variables. The data has been sourced from two major repositories to analyze the impact of gender budgeting policy changes on school infrastructure, specifically facilities for girls, such as separate toilets, and their influence on schooling participation in India. The first dataset, the District Information System for Education (DISE), is primarily derived from the National University of Educational Planning and Administration (NUEPA) state report cards. This dataset covers the period from 2004 to 2017 for all states in India and serves as the primary source of information on school infrastructure and facilities. The second dataset, the India Human Development Survey (IHDS), is available in two waves and provides data on various aspects of human development. This study focused on the primary school facility survey data from the IHDS. These datasets were instrumental in evaluating the impact of gender budgeting on school infrastructure and schooling outcomes for girls in India. Our findings indicate that gender budgeting has positively affected these outcomes.
DOI: 10.15468/dl.mmqy5k
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strongylopus fasciatus (Smith, 1849)",
 "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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 126 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036310-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xw7mrg7ntg.6
title: KMAR-50K

description: KMAR-50K: A Multi-view Open-access Dataset of Paired Knee MRI for Motion Artifact Removal.
We compiled a dataset of 1,444 multi-parameter knee magnetic resonance imaging (MRI) scans from 1,190 patients to address artifact removal in medical imaging. Each case consists of paired images: one containing artifacts and its corresponding ground truth image without artifacts. 
This repository contains the part 1 data. Due to space limitation, for the rest part 2 data, please refer to this link: https://data.mendeley.com/datasets/95w9f5tzz8.
DOI: 10.15468/dl.ktk2mu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Botanical Database of Southern Africa (BODATSA): Botanical Collections",
 "Geometry POLYGON((27.66969 -26.25625,27.74906 -26.26152,27.75301 -26.17721,27.68187 -26.17277,27.66969 -26.25625))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036311-250525065834625/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/12131726
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/95w9f5tzz8.6
title: KMAR-50K-part2

description: Part 1 data could be referred to: https://data.mendeley.com/drafts/xw7mrg7ntg
This repository contains the part 2 data.
DOI: 10.5281/zenodo.15593077
title: Population and economic exposure and their driving factors under different precipitation severities and scenarios

description: Using precipitation data from 12 global climate models in the NEX-GDDP-CMIP6 and population and GDP data developed by IIASA, we calculated global population and GDP exposure to mild, moderate, and severe extreme precipitation in the near term (2031–2060) and far term (2071–2100) under three scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. Furthermore, we analyzed the contribution rates of changes in climate and risk receptors (i.e., population or GDP) to the variation in exposure.

The dataset includes the annual frequency of extreme precipitation, annual average population and GDP, and population and GDP exposure to extreme precipitation across different regions of the world in the near term and far term, as well as their change rates between the two periods. It also provides the contribution rates of climate and risk receptor changes to the variation in exposure. The spatial resolution of the dataset is 0.25° × 0.25°.

This dataset was processed and generated using MATLAB.

 

Units:

Extreme precipitation frequency: times/year

GDP: billion USD (in 2005 PPP USD)

Population: million

GDP exposure: billion USD-times

Population exposure: million person-times

Change rate: %

Contribution rate: %
DOI: 10.5281/zenodo.15593078
title: Population and economic exposure and their driving factors under different precipitation severities and scenarios

description: Using precipitation data from 12 global climate models in the NEX-GDDP-CMIP6 and population and GDP data developed by IIASA, we calculated global population and GDP exposure to mild, moderate, and severe extreme precipitation in the near term (2031–2060) and far term (2071–2100) under three scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. Furthermore, we analyzed the contribution rates of changes in climate and risk receptors (i.e., population or GDP) to the variation in exposure.

The dataset includes the annual frequency of extreme precipitation, annual average population and GDP, and population and GDP exposure to extreme precipitation across different regions of the world in the near term and far term, as well as their change rates between the two periods. It also provides the contribution rates of climate and risk receptor changes to the variation in exposure. The spatial resolution of the dataset is 0.25° × 0.25°.

This dataset was processed and generated using MATLAB.

 

Units:

Extreme precipitation frequency: times/year

GDP: billion USD (in 2005 PPP USD)

Population: million

GDP exposure: billion USD-times

Population exposure: million person-times

Change rate: %

Contribution rate: %
DOI: 10.15468/dl.tm2wy8
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Colias wiskotti Staudinger, 1882"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036313-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.674bnj
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllobates terribilis Myers, Daly & Malkin, 1978"
 ]
}

 The dataset includes 849 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036315-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zjhymwjtxv.2
title: A dataset of histopathology images of paratuberculosis disease.

description: Images of histopathology slides of normal and positive tissues (infected with paratuberculosis). The total number of images is 366 (157 negative + 209 positive)
DOI: 10.15468/dl.bcarpg
title: Occurrence Download

description: A dataset containing 7772 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'SL'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 7772 records were derived from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036288-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9due4
title: Occurrence Download

description: A dataset containing 32124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((5.6473 51.90666,6.17149 51.90666,6.17149 52.2152,5.6473 52.2152,5.6473 51.90666))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036312-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tkj8n
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "Geometry POLYGON((80 40,92 40,92 50,80 50,80 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthropoides virgo (Linnaeus, 1758)",
 "Year 2023-2025"
 ]
}

 The dataset includes 28 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036316-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rmkznfhfsh
title: Phonics Exercise Audio Dataset

description: The Phonics Exercise Audio Dataset is a custom-built audio corpus developed to support speech-based learning and pronunciation correction. It currently consists of 198 audio samples that represent correct and incorrect pronunciations of Arabic letters from "أ" to "ت". These samples are recorded in a standardized format to support consistent feature extraction and model training. The dataset enables the development of phoneme classification systems aimed at improving auditory discrimination skills in dyslexic learners. Ongoing data collection efforts seek to expand this resource to include more letters and speakers, increasing the system’s effectiveness in varied learning contexts.
DOI: 10.17632/rmkznfhfsh.1
title: Phonics Exercise Audio Dataset

description: The Phonics Exercise Audio Dataset is a custom-built audio corpus developed to support speech-based learning and pronunciation correction. It currently consists of 198 audio samples that represent correct and incorrect pronunciations of Arabic letters from "أ" to "ت". These samples are recorded in a standardized format to support consistent feature extraction and model training. The dataset enables the development of phoneme classification systems aimed at improving auditory discrimination skills in dyslexic learners. Ongoing data collection efforts seek to expand this resource to include more letters and speakers, increasing the system’s effectiveness in varied learning contexts.