cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2asayt
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna frutescens kotschyi"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001626-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18798996
title: Does consciousness come from the brain or from the universe itself?

description: Title: Does consciousness come from the brain or from the universe itself?

Introduction: Science is a simple concept in the minds of people. Many people think that it means learning, understanding or realizing; but it is beyond this definition. In this article, we try to examine and investigate. The material presented is based on the personal thoughts and findings of me (the author), and its purpose is to invite the reader to think about the nature and how to recognize consciousness.

The following is a personal hypothesis and intended to stimulate discussion rather than provide experimental proof.”

Idea plan: Physical objects and phenomena are all made up of particles. The relationship between particles has two general states: 1. Particles do not interact at all 2. Particles interact with each other In the first case, particles alone cannot cause anything significant. But in the second case, interactions cause events that you will notice later. The interaction of particles depends on their volume and concentration; phenomena are masses of particles, and masses are made up of volume and a large number of particles. In chemistry, we know that concentration has a direct relationship with number and an inverse relationship with volume. Therefore, the greater the number of particles in a given volume, the greater the interaction and awareness of the phenomenon.This interaction of particles expands consciousness. Consciousness is neither created nor consumed, just like the law of conservation of energy: energy is not destroyed, but is transformed from one form to another. Each particle has a partial consciousness and has a limited effect on its own, but it can share its consciousness with other particles. This sharing never reaches 100 percent.Example of the human brain: The brain is made up of neurons and neuroglia, and neurons interact with each other through synapses. If we have two brains with the same number of neurons but different volumes, the brain with a smaller volume has a higher density of synapses and the sharing of consciousness of the particles in that brain is higher, so the consciousness of the whole mass is greater. Therefore, the greater the interaction of particles, the greater the total consciousness of the particles of the phenomenon increases. After death, when the body decomposes, the particles return to nature again and their consciousness returns to the original source. And when producing a phenomenon, consciousness goes from source to phenomenon. In this way, we can say that the source of consciousness is the creator of the universe.

Conclusion: Collective phenomena are formed by the interaction of particles and are distributed in a dense and uneven world. Particles have public opinions, they create other forms of information with different topics (i.e., they increase information)

Author: Arshia Shams
DOI: 10.5281/zenodo.18798995
title: Does consciousness come from the brain or from the universe itself?

description: Title: Does consciousness come from the brain or from the universe itself?

Introduction: Science is a simple concept in the minds of people. Many people think that it means learning, understanding or realizing; but it is beyond this definition. In this article, we try to examine and investigate. The material presented is based on the personal thoughts and findings of me (the author), and its purpose is to invite the reader to think about the nature and how to recognize consciousness.

The following is a personal hypothesis and intended to stimulate discussion rather than provide experimental proof.”

Idea plan: Physical objects and phenomena are all made up of particles. The relationship between particles has two general states: 1. Particles do not interact at all 2. Particles interact with each other In the first case, particles alone cannot cause anything significant. But in the second case, interactions cause events that you will notice later. The interaction of particles depends on their volume and concentration; phenomena are masses of particles, and masses are made up of volume and a large number of particles. In chemistry, we know that concentration has a direct relationship with number and an inverse relationship with volume. Therefore, the greater the number of particles in a given volume, the greater the interaction and awareness of the phenomenon.This interaction of particles expands consciousness. Consciousness is neither created nor consumed, just like the law of conservation of energy: energy is not destroyed, but is transformed from one form to another. Each particle has a partial consciousness and has a limited effect on its own, but it can share its consciousness with other particles. This sharing never reaches 100 percent.Example of the human brain: The brain is made up of neurons and neuroglia, and neurons interact with each other through synapses. If we have two brains with the same number of neurons but different volumes, the brain with a smaller volume has a higher density of synapses and the sharing of consciousness of the particles in that brain is higher, so the consciousness of the whole mass is greater. Therefore, the greater the interaction of particles, the greater the total consciousness of the particles of the phenomenon increases. After death, when the body decomposes, the particles return to nature again and their consciousness returns to the original source. And when producing a phenomenon, consciousness goes from source to phenomenon. In this way, we can say that the source of consciousness is the creator of the universe.

Conclusion: Collective phenomena are formed by the interaction of particles and are distributed in a dense and uneven world. Particles have public opinions, they create other forms of information with different topics (i.e., they increase information)

Author: Arshia Shams
DOI: 10.15468/dl.f7x993
title: Occurrence Download

description: A dataset containing 57611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.10.17.1_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 57611 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001600-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3bjf4
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna bosseri"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001628-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.31424288
title: <b>Proteomic Biomarker for </b><b>Large </b><b>Vessel </b><b>Occlusion </b><b>Stroke</b><b> Diagnosis</b>

description: This study aims to identify proteomic biomarkers for diagnosing acute ischaemic stroke (AIS) caused by large vessel occlusion (LVO) in patients with suspected stroke. Plasma proteomic profiles were analysed using mass spectrometry. The uploaded data include the participants' clinical characteristics and proteomic data.
DOI: 10.25442/hku.31424288.v1
title: <b>Proteomic Biomarker for </b><b>Large </b><b>Vessel </b><b>Occlusion </b><b>Stroke</b><b> Diagnosis</b>

description: This study aims to identify proteomic biomarkers for diagnosing acute ischaemic stroke (AIS) caused by large vessel occlusion (LVO) in patients with suspected stroke. Plasma proteomic profiles were analysed using mass spectrometry. The uploaded data include the participants' clinical characteristics and proteomic data.
DOI: 10.6084/m9.figshare.31429610
title: Global City-level Dataset of Geographic Constraints and Urban Growth Metrics (7,385 Cities, 1990–2020)

description: This dataset accompanies the study <i>“Geographic constraints shape urban and economic growth worldwide”</i>.It provides city-level panel data for 7,385 cities worldwide across four time points (1990, 2000, 2010, and 2020). The dataset includes two geographic constraint metrics:<b>Share of Barriers (SOB)</b>: proportion of undevelopable land (water bodies and steep slopes &gt;15°) within an adaptive buffer around each city.<b>Nonconvexity</b>: degree to which natural barriers fragment the surrounding developable land.It also includes urban growth and structural indicators derived from global datasets, including:Urban areaPopulationGDP and GDP per capitaPopulation densityAverage built-up heightCircular IndexFractal DimensionSprawl IndexGrowth rates for 1990–2000, 2000–2010, 2010–2020, and 1990–2020All metrics were computed using publicly available global datasets, including GUB (GAIA), GADM, GHSL, WorldClim, ERA5, SRTM, and the Kummu et al. gridded GDP dataset.The dataset enables replication of all regression analyses presented in the paper and supports further research on geographic constraints, urban morphology, and long-term urban development trajectories.
DOI: 10.6084/m9.figshare.31429610.v1
title: Global City-level Dataset of Geographic Constraints and Urban Growth Metrics (7,385 Cities, 1990–2020)

description: This dataset accompanies the study <i>“Geographic constraints shape urban and economic growth worldwide”</i>.It provides city-level panel data for 7,385 cities worldwide across four time points (1990, 2000, 2010, and 2020). The dataset includes two geographic constraint metrics:<b>Share of Barriers (SOB)</b>: proportion of undevelopable land (water bodies and steep slopes &gt;15°) within an adaptive buffer around each city.<b>Nonconvexity</b>: degree to which natural barriers fragment the surrounding developable land.It also includes urban growth and structural indicators derived from global datasets, including:Urban areaPopulationGDP and GDP per capitaPopulation densityAverage built-up heightCircular IndexFractal DimensionSprawl IndexGrowth rates for 1990–2000, 2000–2010, 2010–2020, and 1990–2020All metrics were computed using publicly available global datasets, including GUB (GAIA), GADM, GHSL, WorldClim, ERA5, SRTM, and the Kummu et al. gridded GDP dataset.The dataset enables replication of all regression analyses presented in the paper and supports further research on geographic constraints, urban morphology, and long-term urban development trajectories.
DOI: 10.15468/dl.62mqhk
title: Occurrence Download

description: A dataset containing 405 records in GBIF matching the query:

SELECT
 GBIF_ISEA3HCode(
 7, 
 decimalLatitude,
 decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000)
 ) AS geogrid_id,
 CASE 
 WHEN classKey IN ('359') THEN 'Mammals'
 WHEN classKey IN ('212') THEN 'Birds'
 WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'Bony Fish'
 WHEN classKey IN ('131') THEN 'Amphibians'
 WHEN classKey IN ('216') THEN 'Insects'
 WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'Reptiles'
 WHEN phylumKey IN ('52') THEN 'Molluscs'
 WHEN classKey IN ('367') THEN 'Arachnids'
 WHEN classKey IN ('220', '196') THEN 'Flowering Plants'
 WHEN classKey IN ('194', '244', '228', '282') THEN 'Gymnosperms'
 WHEN orderKey IN ('392') THEN 'Ferns'
 WHEN phylumKey IN ('35') THEN 'Mosses'
 WHEN phylumKey IN ('95') THEN 'Sac Fungi'
 WHEN phylumKey IN ('34') THEN 'Basidiomycota'
 END AS taxonomic_group,
 COUNT(DISTINCT speciesKey) AS species_count
FROM occurrence
WHERE countryCode = 'AO'
 AND hasCoordinate = TRUE
 AND hasGeospatialIssues = FALSE
 AND coordinateUncertaintyInMeters &lt;= 2000
 AND occurrenceStatus = 'PRESENT'
 AND speciesKey IS NOT NULL
 AND basisOfRecord != 'FOSSIL_SPECIMEN'
 AND taxonRank = 'SPECIES'
 AND (
 classKey IN ('359', '212', '131', '216', '11418114', '11569602', '11592253', '11493978', '367', '220', '196', '194', '244', '228', '282')
 OR familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879')
 OR phylumKey IN ('52', '35', '95', '34')
 OR orderKey IN ('392')
 )
GROUP BY geogrid_id, taxonomic_group;


 The dataset's 405 records were derived from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001617-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvarmd
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",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Dentex barnardi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001631-260226173443078/datasets/export for details.
DOI: 10.34847/nkl.116al580
title: Les carnets de fouilles manuscrits de Jean-Jacques Hatt: verité de terrain pour un modèle HTR

description: Ce jeu de données contient la transcription et la segmentation de 107 pages sélectionnées parmi les carnets de terrain de l’archéologue Jean-Jacques Hatt. Ces opérations ont été réalisées à l’aide du logiciel eScriptorium (instance INRIA).
L’échantillon a été choisi pour privilégier des pages avec :
- des lignes de texte standard,
- une écriture de gauche à droite,
- un minimum d’insertions graphiques.
Certaines pages incluent cependant des zones graphiques, identifiées par une segmentation manuelle.
Ces transcriptions ont servi à l’entraînement d’un modèle spécifique adapté à l’écriture de Jean-Jacques Hatt. Les documents couvrent la période 1942-1944.
La transcription respecte scrupuleusement le texte original, y compris les graphies fautives. Voici les conventions appliquées :
Texte barré : transcrit sous la forme xxxx
Texte illisible : transcrit sous la forme […]
Lettres grecques : retranscrites en utilisant les caractères β, γ, α, M, A, Σ
Texte souligné : non reproduit dans la transcription
Exposants : développés
description: Temporal: 1942-1944
description: temporal: 1942-1944
DOI: 10.15468/dl.2de3r8
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreocereus celsianus"
 ]
}

 The dataset includes 306 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001635-260226173443078/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/14979619
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.jyxvzd
title: Occurrence Download

description: A dataset containing 1234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Month is one of (January, December)",
 "TaxonKey is Charadrius alexandrinus",
 "Year 2019-2024"
 ]
}

 The dataset includes 1234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001633-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5xvm8
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",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Diplodus bellottii"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001634-260226173443078/datasets/export for details.
DOI: 10.15468/dl.r8qau2
title: Occurrence Download

description: A dataset containing 14700 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is one of (cdef28b1-db4e-4c58-aa71-3c5238c2d0b5)"
 ]
}

 The dataset includes 14700 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001636-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18799108
title: INTEGRATED DEVELOPMENT OF LANGUAGE ASPECTS AND SPEECH SKILLS IN TEACHING ENGLISH FOR SPECIFIC PURPOSES: THE ROLE OF PRONUNCIATION, GRAMMAR, AND VOCABULARY

description: This article examines the integrated development of language aspects and speech skills in the teaching of English for Specific Purposes (ESP). Emphasis is placed on the role of pronunciation, grammar, and vocabulary in enhancing students’ communicative competence. The study highlights effective strategies for combining linguistic knowledge with practical speaking activities, enabling learners to use English accurately and fluently in professional and academic contexts. The findings suggest that an integrated approach not only improves language accuracy but also strengthens learners’ confidence and overall communicative proficiency.
DOI: 10.5281/zenodo.18799107
title: INTEGRATED DEVELOPMENT OF LANGUAGE ASPECTS AND SPEECH SKILLS IN TEACHING ENGLISH FOR SPECIFIC PURPOSES: THE ROLE OF PRONUNCIATION, GRAMMAR, AND VOCABULARY

description: This article examines the integrated development of language aspects and speech skills in the teaching of English for Specific Purposes (ESP). Emphasis is placed on the role of pronunciation, grammar, and vocabulary in enhancing students’ communicative competence. The study highlights effective strategies for combining linguistic knowledge with practical speaking activities, enabling learners to use English accurately and fluently in professional and academic contexts. The findings suggest that an integrated approach not only improves language accuracy but also strengthens learners’ confidence and overall communicative proficiency.
DOI: 10.15468/dl.6g8btn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coregonus lavaretus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001637-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/9q7vvv
title: Dataset of 3D scans for fuselage panel segmentation

description: This is a dataset of fully annotated fuselage panels collected within a research project involving IMT Mines Albi, Institut Clément Ader, University of Montenegro and CETIM. The dataset is annotated for semantic and instance segmentation of key components on the panels. There are 2 repositories: one with 3D scans acquired with an Artec 3D scanner and another one with 3D scans acquired with a Creaform Black Elite 3D scanner. For more details, see the associated publication in the SPIE/JEI journal.
DOI: 10.6084/m9.figshare.28685144
title: European Southern Observatory - Founding Networks Bibliography, including 1964

description: This dataset contains a curated collection of journal articles associated with researchers that have been identified as having a role in the founding process of the European Southern Observatory. Publications were systematically retrieved from multiple bibliographic sources to ensure comprehensive coverage and to minimize database-specific biases.The data draw on searches conducted in Web of Science and Google Scholar, complemented where relevant by subject-specific databases such as INSPIRE-HEP and PubMed.All records were manually checked for plausibility and consistency (e.g., removal of duplicates, verification of author identities). Where available, author profile information and additional biographical sources (such as obituaries containing bibliographies) were consulted to validate and complete publication lists.For reasons of comparability across cases, the dataset includes journal articles only. Other publication types (e.g., monographs, edited volumes, working papers, or reports) were excluded. The dataset covers the period until 1964.
DOI: 10.6084/m9.figshare.28685144.v1
title: European Southern Observatory - Founding Networks Bibliography, including 1964

description: This dataset contains a curated collection of journal articles associated with researchers that have been identified as having a role in the founding process of the European Southern Observatory. Publications were systematically retrieved from multiple bibliographic sources to ensure comprehensive coverage and to minimize database-specific biases.The data draw on searches conducted in Web of Science and Google Scholar, complemented where relevant by subject-specific databases such as INSPIRE-HEP and PubMed.All records were manually checked for plausibility and consistency (e.g., removal of duplicates, verification of author identities). Where available, author profile information and additional biographical sources (such as obituaries containing bibliographies) were consulted to validate and complete publication lists.For reasons of comparability across cases, the dataset includes journal articles only. Other publication types (e.g., monographs, edited volumes, working papers, or reports) were excluded. The dataset covers the period until 1964.
DOI: 10.5281/zenodo.15209640
title: Dataset of Modeling the differential susceptibility by Lorentzians

description: Data: datasheets (txt) of differential permeability and Lorentzian fits of:Iron (muIron.TXT)Nickel (muNickel.TXT)Goss-textured Fe-3%Si steel cut in the rolling direction (MuFe3SiGossRD.TXT)
DOI: 10.5281/zenodo.15209641
title: Dataset of Modeling the differential susceptibility by Lorentzians

description: Data: datasheets (txt) of differential permeability and Lorentzian fits of:Iron (muIron.TXT)Nickel (muNickel.TXT)Goss-textured Fe-3%Si steel cut in the rolling direction (MuFe3SiGossRD.TXT)
DOI: 10.5281/zenodo.15209968
title: Supplementary data for the article "A phenomenological magnetomechanical model for hysteresis loops"

description: Data: datasheets (txt) of ascending branches of hysteresis loops under compressive stress from 0 to 67MPa for Goss-textured Fe-3%Si steel cut in the rolling direction