cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18269667
title: RAQAMLI VOSITALAR YORDAMIDA MAKTABGACHA YOSHDAGI BOLALARDA MATEMATIK SAVODXONLIKNI RIVOJLANTIRISH

description: Ushbu maqolada maktabgacha yoshdagi bolalarda matematik savodxonlikni rivojlantirishda raqamli vositalardan foydalanishning ilmiy-pedagogik asoslari, ularning didaktik imkoniyatlari va amaliy samaradorligi chuqur tahlil qilinadi. Tadqiqot jarayonida raqamli platformalar asosida tashkil etilgan mashg‘ulotlarning bolalarda matematik tafakkur, fazoviy tasavvur, mantiqiy bog‘lanishlarni aniqlash, sanash, guruhlash va taqqoslash ko‘nikmalariga ta’siri eksperimental yo‘l bilan o‘rganildi. Tadqiqot natijalari raqamli vositalar bilan tashkil etilgan mashg‘ulotlar an’anaviy usullarga nisbatan bolalarda matematik savodxonlikni shakllantirishda yuqori samaradorlikka ega ekanini ilmiy asoslab berdi.
DOI: 10.5290/4570008
title: Low cycle fatigue - load control test data for 316L a material at 300 °C (specimen identifier FRFAIR-10)

description: Data created at Framatome, France during the Horizon 2020 INCEFA-SCALE project on increasing safety in NPPs by covering gaps in environmental fatigue assessment, focusing on gaps between laboratory data and component scale (see https://cordis.europa.eu/project/id/945300 for details). This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 945300.
DOI: 10.5290/4570009
title: Low cycle fatigue - load control test data for 316L a material at 300 °C (specimen identifier FRFAIR-11)

description: Data created at Framatome, France during the Horizon 2020 INCEFA-SCALE project on increasing safety in NPPs by covering gaps in environmental fatigue assessment, focusing on gaps between laboratory data and component scale (see https://cordis.europa.eu/project/id/945300 for details). This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 945300.
DOI: 10.5290/4570010
title: Low cycle fatigue - load control test data for 316L a material at 300 °C (specimen identifier FRFAIR-12)

description: Data created at Framatome, France during the Horizon 2020 INCEFA-SCALE project on increasing safety in NPPs by covering gaps in environmental fatigue assessment, focusing on gaps between laboratory data and component scale (see https://cordis.europa.eu/project/id/945300 for details). This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 945300.
DOI: 10.5290/4580004
title: Low cycle fatigue - strain control test data for 316L a material at 300 °C (specimen identifier UJV-3)

description: Data created at ÚJV Řež, Czech Republic during the Horizon 2020 INCEFA-SCALE project on increasing safety in NPPs by covering gaps in environmental fatigue assessment, focusing on gaps between laboratory data and component scale (see https://cordis.europa.eu/project/id/945300 for details). This project has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 945300.
DOI: 10.5281/zenodo.18269669
title: THE IMPORTANCE OF MATHEMATICS IN THE DEVELOPMENT OF SCIENCE AND TECHNOLOGY
DOI: 10.5281/zenodo.18269670
title: THE IMPORTANCE OF MATHEMATICS IN THE DEVELOPMENT OF SCIENCE AND TECHNOLOGY
DOI: 10.15468/dl.4r3pae
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis hirsuta"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014381-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18208415
title: "Ait Zaouit Protocol (AZP): A Dynamic Duality-Pairing Framework for High-Fidelity Signal Recovery in Quantum, 6G, and Radar Systems."

description: Technical Description: The Ait Zaouit Protocol (AZP)

Overview:

The Ait Zaouit Protocol (AZP) is a breakthrough signal-processing framework designed to solve the "Noise-Fidelity Paradox" in high-frequency and quantum environments. At its core lies the Dynamic Duality-Pairing Equation, a mathematical engine that identifies and couples signal components with their dual-phase counterparts to cancel interference in real-time.

Key Technical Features:

Dynamic Adaptation: Unlike static error-mitigation algorithms used by legacy systems (e.g., standard IBM Qiskit filters), AZP continuously recalibrates its parameters based on the incoming noise floor. This makes it immune to fluctuating environmental interference.

Phase-Locking Duality: The protocol utilizes a unique duality principle to ensure that even when signal amplitude is compromised, the phase integrity—the "fingerprint" of the data—remains intact.

Universal Applicability: While initially proven on IBM Quantum hardware (improving fidelity from 32% to 80.57%), the protocol has demonstrated identical performance in 6G Terahertz communication and Quantum-inspired Radar systems.

Scientific Significance:

The stability of the 80.57% fidelity constant across multiple domains suggests a fundamental discovery in information theory. This protocol allows for the reliable transmission of data in environments previously considered "too noisy" for practical use, such as deep-space communications, stealth detection, and large-scale quantum computing.
DOI: 10.5281/zenodo.18208416
title: "Ait Zaouit Protocol (AZP): A Dynamic Duality-Pairing Framework for High-Fidelity Signal Recovery in Quantum, 6G, and Radar Systems."

description: Technical Description: The Ait Zaouit Protocol (AZP)

Overview:

The Ait Zaouit Protocol (AZP) is a breakthrough signal-processing framework designed to solve the "Noise-Fidelity Paradox" in high-frequency and quantum environments. At its core lies the Dynamic Duality-Pairing Equation, a mathematical engine that identifies and couples signal components with their dual-phase counterparts to cancel interference in real-time.

Key Technical Features:

Dynamic Adaptation: Unlike static error-mitigation algorithms used by legacy systems (e.g., standard IBM Qiskit filters), AZP continuously recalibrates its parameters based on the incoming noise floor. This makes it immune to fluctuating environmental interference.

Phase-Locking Duality: The protocol utilizes a unique duality principle to ensure that even when signal amplitude is compromised, the phase integrity—the "fingerprint" of the data—remains intact.

Universal Applicability: While initially proven on IBM Quantum hardware (improving fidelity from 32% to 80.57%), the protocol has demonstrated identical performance in 6G Terahertz communication and Quantum-inspired Radar systems.

Scientific Significance:

The stability of the 80.57% fidelity constant across multiple domains suggests a fundamental discovery in information theory. This protocol allows for the reliable transmission of data in environments previously considered "too noisy" for practical use, such as deep-space communications, stealth detection, and large-scale quantum computing.
DOI: 10.15468/dl.d47uz3
title: Occurrence Download

description: A dataset containing 12192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tussilago farfara)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 12192 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014383-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53hps2
title: Occurrence Download

description: A dataset containing 4171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is NABU|naturgucker",
 "GadmGid is DEU.10.5_1",
 "Geometry POLYGON((6.81085 51.47797,7.04089 51.47797,7.04089 51.67476,6.81085 51.67476,6.81085 51.47797))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2026"
 ]
}

 The dataset includes 4171 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014384-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqas9j
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astronotus ocellatus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 167 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014387-260108223611665/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/14518709
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18269697
title: GIPOKSIK-ISHEMIK ENSEFALOPATIYA KUZATILGAN CHAQALOQLARDA NEYROPROTEKSIYA

description: Gipoksik-ishemik ensefalopatiya (GIE) yangi tug‘ilgan chaqaloqlarda uchraydigan eng dolzarb nevrologik patologiyalardan biri bo‘lib, u perinatal gipoksiya va miya qon ta’minotining buzilishi natijasida rivojlanadi. Ushbu holat markaziy asab tizimi hujayralarining zararlanishiga, neyronlar funksiyasining pasayishiga va uzoq muddatli nevrologik asoratlarga olib kelishi mumkin. Mazkur tadqiqot gipoksik-ishemik ensefalopatiya kuzatilgan chaqaloqlarda neyroprotektiv terapiyaning klinik samaradorligini baholashga qaratilgan. Tadqiqot davomida kompleks davolash fonida neyroprotektiv vositalar qo‘llanilgan chaqaloqlarda nevrologik holatning dinamikasi, reflekslar faolligi va markaziy asab tizimi tiklanish darajasi o‘rganildi. Olingan natijalar erta boshlangan neyroprotektiv davolash gipoksik zararlanish oqibatlarini kamaytirish va chaqaloqlarning hayot sifatini yaxshilashda muhim ahamiyatga ega ekanligini ko‘rsatdi.
DOI: 10.5281/zenodo.18269698
title: GIPOKSIK-ISHEMIK ENSEFALOPATIYA KUZATILGAN CHAQALOQLARDA NEYROPROTEKSIYA

description: Gipoksik-ishemik ensefalopatiya (GIE) yangi tug‘ilgan chaqaloqlarda uchraydigan eng dolzarb nevrologik patologiyalardan biri bo‘lib, u perinatal gipoksiya va miya qon ta’minotining buzilishi natijasida rivojlanadi. Ushbu holat markaziy asab tizimi hujayralarining zararlanishiga, neyronlar funksiyasining pasayishiga va uzoq muddatli nevrologik asoratlarga olib kelishi mumkin. Mazkur tadqiqot gipoksik-ishemik ensefalopatiya kuzatilgan chaqaloqlarda neyroprotektiv terapiyaning klinik samaradorligini baholashga qaratilgan. Tadqiqot davomida kompleks davolash fonida neyroprotektiv vositalar qo‘llanilgan chaqaloqlarda nevrologik holatning dinamikasi, reflekslar faolligi va markaziy asab tizimi tiklanish darajasi o‘rganildi. Olingan natijalar erta boshlangan neyroprotektiv davolash gipoksik zararlanish oqibatlarini kamaytirish va chaqaloqlarning hayot sifatini yaxshilashda muhim ahamiyatga ega ekanligini ko‘rsatdi.
DOI: 10.15468/dl.hh3324
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "DatasetKey is BIOGEOnet : Bryophytes occurrences in Wallonia",
 "TaxonKey is Ulota phyllantha",
 "Year 2010-2020"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014390-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16734552
title: Deepfake Fraud Increased: Study of Indonesian Gen Z's Trust and Acceptance toward Deepfake

description: Abstract— The advancement of technology, especially artificial intelligence and social media, has significantly improved access to information and innovation. However, a growing concern is the misuse of deepfake technology, which allows the creation of highly realistic yet deceptive content that arises fraud and misinformation cases. There are a reported 550% increase of AI misuse in Indonesia and a recent deepfake scam involving Indonesia’s public figures. Hence, this study aims to explore Gen Z’s perceptions and acceptance toward deepfake content on social media and provides recommendations to resilience against deepfake misuse and increasing AI literacy for public education.  Data were collected using purposive sampling from Indonesian citizens residing throughout the Jabodetabek area between March and July 2025, overall, responses were gathered from 403 participants in the study. The analysis was carried out using the Structural Equation Modelling (SEM) analysis with SmartPLS, consisting of seven variables and eight hypotheses. The variables included are Awareness, Credibility, Trust, Perceived Risk, Usefulness, Attitude, and Acceptance. This paper found that users’ acceptance is influenced by many layers, from awareness to attitude, and users’ trust toward deepfake is significantly influenced by content credibility. While perceived risk does not affect users’ trust. The results show that many people are unaware of deepfake risks and are uncertain about their ability to differentiate deepfake content from the real one.

Keywords—acceptance, artificial intelligence, deepfake, social media, trust
DOI: 10.5281/zenodo.17879361
title: Deepfake Fraud Increased: Study of Indonesian Gen Z's Trust and Acceptance toward Deepfake

description: Abstract— The advancement of technology, especially artificial intelligence and social media, has significantly improved access to information and innovation. However, a growing concern is the misuse of deepfake technology, which allows the creation of highly realistic yet deceptive content that arises fraud and misinformation cases. There are a reported 550% increase of AI misuse in Indonesia and a recent deepfake scam involving Indonesia’s public figures. Hence, this study aims to explore Gen Z’s perceptions and acceptance toward deepfake content on social media and provides recommendations to resilience against deepfake misuse and increasing AI literacy for public education.  Data were collected using purposive sampling from Indonesian citizens residing throughout the Jabodetabek area between March and July 2025, overall, responses were gathered from 403 participants in the study. The analysis was carried out using the Structural Equation Modelling (SEM) analysis with SmartPLS, consisting of seven variables and eight hypotheses. The variables included are Awareness, Credibility, Trust, Perceived Risk, Usefulness, Attitude, and Acceptance. This paper found that users’ acceptance is influenced by many layers, from awareness to attitude, and users’ trust toward deepfake is significantly influenced by content credibility. While perceived risk does not affect users’ trust. The results show that many people are unaware of deepfake risks and are uncertain about their ability to differentiate deepfake content from the real one.

Keywords—acceptance, artificial intelligence, deepfake, social media, trust
DOI: 10.15468/dl.tpmum8
title: Occurrence Download

description: A dataset containing 100624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nycticorax nycticorax)",
 "Geometry POLYGON((55.000000 4.000000, 150.000000 4.000000, 150.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 100624 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014329-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18268971
title: Impact of climate change on key commercial fish species in the northeast Atlantic

description: The folder Include results from the H2020 project CERES (POLCOM-ERSEM.rar) and runs that were generated for the Copernicus Climate Data Store (http://doi.org/10.24381/cds.39c97304; the catalogue entry is deprecated and data cannot be accessed there anymore).

The data were used within the MSPACE project (UK research council) and the FutureMARES H2020 project.

Note these are the raw outputs from the SS-DBEM model not the results from analysis done for any of the linked work (past, present, or future)
DOI: 10.5281/zenodo.18268970
title: Impact of climate change on key commercial fish species in the northeast Atlantic

description: The folder Include results from the H2020 project CERES (POLCOM-ERSEM.rar) and runs that were generated for the Copernicus Climate Data Store (http://doi.org/10.24381/cds.39c97304; the catalogue entry is deprecated and data cannot be accessed there anymore).

The data were used within the MSPACE project (UK research council) and the FutureMARES H2020 project.

Note these are the raw outputs from the SS-DBEM model not the results from analysis done for any of the linked work (past, present, or future)
DOI: 10.15468/dl.kkncwg
title: Occurrence Download

description: A dataset containing 53715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens alba"
 ]
}

 The dataset includes 53715 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014262-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6x2ry
title: Occurrence Download

description: A dataset containing 1241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Verbascum lychnitis, Verbascum lychnitis)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1241 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014391-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arw32b
title: Occurrence Download

description: A dataset containing 64062 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens pilosa"
 ]
}

 The dataset includes 64062 records from 1044 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014272-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/geomag/castello-tesino.yearbook.2021
title: geomag /castello tesino/ yearbook / 2021
title: Geo_yearbook

description: Castello Tesino observatory (IAGA code: CTS), established in 1964, is one of the three geomagnetic observatories in Italy operated and maintained by the Istituto Nazionale di Geofisica e Vulcanologia. The observatory is located near the homonymous town, 55 km East from the city of Trento (Northern Italy), and it is the main Northern Italy magnetic observatory.
description: L'osservatorio di Castello Tesino (codice IAGA: CTS), fondato nel 1964, è uno dei tre osservatori geomagnetici in Italia gestiti e mantenuti dall'Istituto Nazionale di Geofisica e Vulcanologia. L'osservatorio si trova nei pressi dell'omonimo Comune, a 55 km a est dalla città di Trento (Nord Italia), ed è il principale osservatorio magnetico del Nord Italia.
DOI: 10.15468/dl.ukhfcc
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((-102 -26,103 -26,103 28,-102 28,-102 -26))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adiantum bonatianum Brause"
 ]
}

 The dataset includes 79 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011266-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/geomag/duronia.yearbook.2021
title: geomag /duronia/ yearbook / 2021
title: Geo_yearbook

description: Duronia observatory is one of the three geomagnetic observatories in Italy operated and mantained by Istituto Nazionale di Geofisica e Vulcnologia (INGV). The observatory is located near Duronia, a small village in Molise, in central Italy.
description: L'osservatorio di Duronia è uno dei tre osservatorigeomagneticiin Italia grstiti e mantenuti dall'Istituto Nazionale di Geofisica e Vulcanologia (INGV). L'osservtorio si trova vicino Duronia, un piccolo paese del Molise, nel centro Italia.
DOI: 10.15468/dl.wwqcrn
title: Occurrence Download

description: A dataset containing 20809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-840.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celtis australis L."
 ]
}

 The dataset includes 20809 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011265-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7gj9n
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is 3059a14b-7b43-41ce-beef-873999911dfe",
 "TaxonKey is Gymnura altavela (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011267-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/etna/radmer
title: A new radar-based statistical model to quantify mass eruption rate of volcanic plumes (RadMER)
title: RadMER

description: We combine values of column height HTP and mass eruption rate QM, radar derived, including the associated wind velocity (vW) for several eruptive events of Mt. Etna (Italy). Hence, we use a Monte Carlo Markov Chain approach to fit a parametric model relating HTP, QM and vW. The fitted model can then be used to quickly infer QM from observed HTP and vW. An outstanding feature is that HTP and QM are obtained from the same sensor reducing the overall uncertainty.
description: Time trend of the radar-based estimates of the mass eruption rate (QM) and top plume height (HTP) for 32 Etna eruptions and the vw data retrieved from the reanalysis data of the ECMWF for the same events. For each event you can find: Time (UTC), top plume height (km); QM (mass eruption rate (kg/s)). Finally, vw is the wind velocity (m/s).