cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30453557
title: <b>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance)</b>

description: This dataset constitutes the cryptographically verified registration package for the Fractal Harmonic Unified Framework Technology (FHUFT).<br><b>FHUFT</b> — <i>Fractal Harmonic Unified Framework Technology</i> — is a unified physical–computational architecture that integrates fractal geometry, harmonic resonance, and algorithmic transformation principles. It defines a cross-disciplinary framework for modeling, computation, and system optimization across both physical and informational domains.<br>This registration release provides a complete set of digitally signed documents, cryptographic manifests, and blockchain timestamps that establish the authenticity, authorship, and temporal priority of the <b>FHUFT</b> intellectual framework. All materials are protected using <b>SSH/ED25519</b> digital signatures, <b>SHA-512</b> cryptographic checksums, and <b>OpenTimestamps</b> blockchain proofs anchored to the Bitcoin network.<br>The package includes the following materials:<b>FHUFT_Registration_2025-11-02h.zip</b> — main registration archive containing manifest, checksums, licenses, and proofs.<b>FHUFT_Registration_2025-11-02h.zip.sig</b> — ED25519 signature confirming authenticity.<b>FHUFT_Registration_2025-11-02h.zip.sha512</b> — SHA-512 checksum for integrity verification.<b>TIMESTAMP_PROOF_tag_v2025.11.02h_20251103T134002Z.ots</b> — blockchain proof of existence.<b>FHUFT_Patent_Roadmap_v3.2.pdf</b> — principal document describing the strategic architecture and intellectual-property framework.<b>FHUFT_Patent_Roadmap_v3.2_Analysis.pdf</b> — analytical supplement providing technical explanation of structural dependencies.<br>All documents have been cryptographically validated and timestamped, establishing verifiable authorship and priority. The release represents the official record of the FHUFT framework’s intellectual and computational structure.<br><b>Citation:</b> Zhovnirovych, Oleksandr. <i>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance).</i> Figshare. DOI: 10.6084/m9.figshare.30453557.<br><b>Version:</b> v2025.11.02h<b>Verification completed:</b> 2025-11-03 13:40 UTC<b>License:</b> CC BY 4.0 (Documents) / Proprietary (Code and Patent Materials)
DOI: 10.6084/m9.figshare.30453557.v5
title: <b>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance)</b>

description: This dataset constitutes the cryptographically verified registration package for the Fractal Harmonic Unified Framework Technology (FHUFT).<br><b>FHUFT</b> — <i>Fractal Harmonic Unified Framework Technology</i> — is a unified physical–computational architecture that integrates fractal geometry, harmonic resonance, and algorithmic transformation principles. It defines a cross-disciplinary framework for modeling, computation, and system optimization across both physical and informational domains.<br>This registration release provides a complete set of digitally signed documents, cryptographic manifests, and blockchain timestamps that establish the authenticity, authorship, and temporal priority of the <b>FHUFT</b> intellectual framework. All materials are protected using <b>SSH/ED25519</b> digital signatures, <b>SHA-512</b> cryptographic checksums, and <b>OpenTimestamps</b> blockchain proofs anchored to the Bitcoin network.<br>The package includes the following materials:<b>FHUFT_Registration_2025-11-02h.zip</b> — main registration archive containing manifest, checksums, licenses, and proofs.<b>FHUFT_Registration_2025-11-02h.zip.sig</b> — ED25519 signature confirming authenticity.<b>FHUFT_Registration_2025-11-02h.zip.sha512</b> — SHA-512 checksum for integrity verification.<b>TIMESTAMP_PROOF_tag_v2025.11.02h_20251103T134002Z.ots</b> — blockchain proof of existence.<b>FHUFT_Patent_Roadmap_v3.2.pdf</b> — principal document describing the strategic architecture and intellectual-property framework.<b>FHUFT_Patent_Roadmap_v3.2_Analysis.pdf</b> — analytical supplement providing technical explanation of structural dependencies.<br>All documents have been cryptographically validated and timestamped, establishing verifiable authorship and priority. The release represents the official record of the FHUFT framework’s intellectual and computational structure.<br><b>Citation:</b> Zhovnirovych, Oleksandr. <i>FHUFT — Fractal Harmonic Unified Framework Technology Registration Package (v2025.11.02h, Cryptographic Provenance).</i> Figshare. DOI: 10.6084/m9.figshare.30453557.<br><b>Version:</b> v2025.11.02h<b>Verification completed:</b> 2025-11-03 13:40 UTC<b>License:</b> CC BY 4.0 (Documents) / Proprietary (Code and Patent Materials)
DOI: 10.6084/m9.figshare.30453557.v4
title: FHUFT Registration Package — Cryptographic Provenance (v3, 2025-10-27)

description: This dataset constitutes the <b>cryptographically verified registration package</b> for the <i>FHUFT Patent Roadmap v3.0</i> (Intellectual Property Strategy and Provenance Framework).It provides the complete set of verified documents, digital manifests, and cryptographic checksums that collectively establish the <b>authenticity, authorship, and priority</b> of the FHUFT intellectual property roadmap.<br><b>Contents include:</b>• <i>FHUFT_Patent_Roadmap_v3.pdf</i> — main intellectual property strategy document• <i>FHUFT_Patent_Roadmap_v3_Analysis.pdf</i> — analytical and verification supplement• <i>MANIFEST.json</i> — cryptographic manifest with SHA256 file hashes and Git tag• <i>CHECKSUMS.txt</i> and <i>.sig</i> files — reproducible verification data and ED25519 digital signature<br>This registration serves as a <b>reproducible proof-of-origin</b> for the FHUFT initiative, ensuring verifiable integrity, long-term archival provenance, and transparent DOI-based traceability across all future updates.
DOI: 10.6084/m9.figshare.30519262
title: It only gets worse … or does it? The relationship between pain duration and psychological pain factors

description: Patients with chronic pain face significant stigma in interactions with the public and health professionals. A common assumption is that the longer one’s pain continues, the more psychological its nature. This study investigated the relationship between psychological variables and duration of pain symptoms. This observational study included outcomes of pain duration and severity, Pain Catastrophizing Scale (PCS), Psychological Inflexibility in Pain Scale (PIPS), and Patient Health Questionnaire (PHQ8). Participants recruited completed all outcomes via an online survey. Correlation analysis showed that as duration increases, total PCS (<i>r</i> = −.097), PCS – Magnification (<i>r</i> = −.126), and PCS – Helplessness (<i>r</i> = −.088) scores decrease. There were no differences in pain duration between participants with high versus low levels of pain catastrophizing. For PCS – Magnification, there was a significant difference between the 1–3-year and &gt;10-year groups (<i>p</i> = .012). There was a significant difference in PIPS between the 1–3-year group and 7–10-year group (<i>p</i> = .032) and significant differences on the PHQ8 between the 1–3-year group and the 3–6-year group (<i>p</i> = .007) as well as between the 1–3-year group and the &gt;10-year group (<i>p</i> = .032). The stigma associated with pain chronicity extends into the clinical setting, leading to undertreatment and dismissal of patient symptoms. This study emphasizes that a relationship between pain behaviors, psychological symptoms, and pain chronicity cannot be assumed during encounters with patients in pain.
DOI: 10.6084/m9.figshare.30519262.v1
title: It only gets worse … or does it? The relationship between pain duration and psychological pain factors

description: Patients with chronic pain face significant stigma in interactions with the public and health professionals. A common assumption is that the longer one’s pain continues, the more psychological its nature. This study investigated the relationship between psychological variables and duration of pain symptoms. This observational study included outcomes of pain duration and severity, Pain Catastrophizing Scale (PCS), Psychological Inflexibility in Pain Scale (PIPS), and Patient Health Questionnaire (PHQ8). Participants recruited completed all outcomes via an online survey. Correlation analysis showed that as duration increases, total PCS (<i>r</i> = −.097), PCS – Magnification (<i>r</i> = −.126), and PCS – Helplessness (<i>r</i> = −.088) scores decrease. There were no differences in pain duration between participants with high versus low levels of pain catastrophizing. For PCS – Magnification, there was a significant difference between the 1–3-year and &gt;10-year groups (<i>p</i> = .012). There was a significant difference in PIPS between the 1–3-year group and 7–10-year group (<i>p</i> = .032) and significant differences on the PHQ8 between the 1–3-year group and the 3–6-year group (<i>p</i> = .007) as well as between the 1–3-year group and the &gt;10-year group (<i>p</i> = .032). The stigma associated with pain chronicity extends into the clinical setting, leading to undertreatment and dismissal of patient symptoms. This study emphasizes that a relationship between pain behaviors, psychological symptoms, and pain chronicity cannot be assumed during encounters with patients in pain.
DOI: 10.5281/zenodo.17468858
title: Mapping and Classification of Trees Outside Forests using Deep Learning

description: We introduce a Trees Outside Forests (TOF) dataset covering four agricultural study regions in Germany: Brandenburg (BB), North Rhine–Westphalia South (NRW_S), North Rhine–Westphalia North (NRW_N), and Schleswig-Holstein (SH). Each region includes high-resolution RGB orthophotos (20 cm ground sampling distance) provided by the respective federal mapping agencies. The dataset contains:





Orthophotos in GeoTIFF format




Expert-labeled training data in ESRI Shapefile format




Four TOF categories based on morphology and structure:





Forest 




Patch




Linear 




Tree





Paper: https://doi.org/10.48550/arXiv.2510.25239Code: https://github.com/Moerizzy/TOFMapper.git

All orthophotos were obtained from official governmental institutions:





Landesamt für Vermessung und Geoinformation Schleswig-Holstein (LVermGeo SH), 2025:Digitale Orthophotos 1:5000 (DOP20)https://opendataportal.lsh.uni-kiel.de/dataset/digitale-orthophotos-dop20Licensed under CC BY 4.0


Landesvermessung und Geobasisinformation Brandenburg (LGB), 2025:Luftbilder aktuellhttps://geobasis-bb.de/lgb/de/geodaten/luftbilder/luftbilder-aktuell/Licensed under Datenlizenz Deutschland – Namensnennung – Version 2.0 (dl-de/by-2-0)

Geobasis NRW, 2025Aktuelle Luftbild- und Satellitenbildinformationenhttps://www.bezreg-koeln.nrw.de/geobasis-nrw/produkte-und-dienste/luftbild-und-satellitenbildinformationen/aktuelle-luftbild-und-0Licensed under Datenlizenz Deutschland – Namensnennung – Version 2.0 (dl-de/by-2-0)
DOI: 10.5281/zenodo.17468859
title: Mapping and Classification of Trees Outside Forests using Deep Learning

description: We introduce a Trees Outside Forests (TOF) dataset covering four agricultural study regions in Germany: Brandenburg (BB), North Rhine–Westphalia South (NRW_S), North Rhine–Westphalia North (NRW_N), and Schleswig-Holstein (SH). Each region includes high-resolution RGB orthophotos (20 cm ground sampling distance) provided by the respective federal mapping agencies. The dataset contains:





Orthophotos in GeoTIFF format




Expert-labeled training data in ESRI Shapefile format




Four TOF categories based on morphology and structure:





Forest 




Patch




Linear 




Tree





Paper: https://doi.org/10.48550/arXiv.2510.25239Code: https://github.com/Moerizzy/TOFMapper.git

All orthophotos were obtained from official governmental institutions:





Landesamt für Vermessung und Geoinformation Schleswig-Holstein (LVermGeo SH), 2025:Digitale Orthophotos 1:5000 (DOP20)https://opendataportal.lsh.uni-kiel.de/dataset/digitale-orthophotos-dop20Licensed under CC BY 4.0


Landesvermessung und Geobasisinformation Brandenburg (LGB), 2025:Luftbilder aktuellhttps://geobasis-bb.de/lgb/de/geodaten/luftbilder/luftbilder-aktuell/Licensed under Datenlizenz Deutschland – Namensnennung – Version 2.0 (dl-de/by-2-0)

Geobasis NRW, 2025Aktuelle Luftbild- und Satellitenbildinformationenhttps://www.bezreg-koeln.nrw.de/geobasis-nrw/produkte-und-dienste/luftbild-und-satellitenbildinformationen/aktuelle-luftbild-und-0Licensed under Datenlizenz Deutschland – Namensnennung – Version 2.0 (dl-de/by-2-0)
DOI: 10.7910/dvn/fr9jmk
title: Replication data for: "Subsidies and Structure: The Lasting Impact of the Hill-Burton Program on the Hospital Industry"

description: Replication data for: "Subsidies and Structure: The Lasting Impact of the Hill-Burton Program on the Hospital Industry"
DOI: 10.5281/zenodo.16419850
title: Supplementary Material for the Manuscript *Thermal Refugia Indicate Physiological Evolution in Atlantic Reef Corals*

description: All data used in the comparative analyses (log-transformed matrices, phylogenetic trees, and R scripts) related to the submitted manuscript entitled Thermal refugia indicate physiological evolution in reef corals. Further details can be found in the accompanying READ ME file.
DOI: 10.5281/zenodo.16419851
title: Supplementary Material for the Manuscript *Thermal Refugia Indicate Physiological Evolution in Atlantic Reef Corals*

description: All data used in the comparative analyses (log-transformed matrices, phylogenetic trees, and R scripts) related to the submitted manuscript entitled Thermal refugia indicate physiological evolution in reef corals. Further details can be found in the accompanying READ ME file.
DOI: 10.15468/dl.xv97b8
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "Year is 2012",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013057-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8qmdd
title: Occurrence Download

description: A dataset containing 12421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arvicola amphibius",
 "Year 2015-2025"
 ]
}

 The dataset includes 12421 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013058-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqwau6
title: Occurrence Download

description: A dataset containing 413699 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrilus planipennis, Anoplophora glabripennis, Enaphalodes rufulus, Saperda candida, Tetropium gracilicorne, Xylotrechus namanganensis, Rhyzobius lophanthae, Hylobitelus xiaoi, Megaplatypus mutatus, Platypus quercivorus, Polygraphus proximus, Xylosandrus crassiusculus, Xylosandrus germanus, Xylosandrus mutilatus, Hermetia illucens, Ceratitis capitata, Toumeyella parvicornis, Icerya purchasi, Corythucha arcuata, Bombus impatiens, Dryocosmus kuriphilus, Brachyponera chinensis, Linepithema humile, Pheidole megacephala, Solenopsis invicta, Solenopsis richteri, Tapinoma melanocephalum, Wasmannia auropunctata, Megachile sculpturalis, Trissolcus japonicus, Sirex ermak, Vespa mandarinia, Argyresthia cupressella, Hyphantria cunea, Lymantria mathura, Dendrolimus sibiricus, Dendrolimus superans, Sagittaria platyphylla, Spirodela punctata, Paederia foetida, Ludwigia kentiana, Humulus scandens, Ampelopsis glandulosa, Salvinia minima, Salvinia molesta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 413699 records from 550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013034-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3s243
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Austrocactus bertinii"
 ]
}

 The dataset includes 199 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013059-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/4210010301-fra
title: Recours aux services d'apprentissage et de garde des jeunes enfants, enfants âgés de 0 à 5 ans

description: Nombre et pourcentage d'enfants âgés de 0 à 5 ans recevant des services d'apprentissage et de garde des jeunes enfants, selon le groupe d’âge.
DOI: 10.5281/zenodo.15487816
title: Supplementary material for: A mosaic of modular variation at a single gene underpins convergent plumage coloration

description: The combination of genomic variation from multiple origins is an important contributor to phenotypic diversification, yet insights into the evolutionary trajectories of this combinatorial process and their interplay with genetic architecture remain scarce. We show that convergent color evolution in wheatears involves a monogenic architecture with modular variation introgressed at the agouti signalling protein (ASIP) locus. Introgression of a novel transposable element insertion and linked protein-coding variation underpin a trans-specific throat color polymorphism, which stable isotopes suggest are associated with alternative foraging niches. Co-introgression of linked regulatory ASIP variation resulted in mantle color convergence in one species, while convergent color evolution at the genus level required novel variation. Our results illustrate evolutionary trajectories from pre-existing variation realized within the constraints of a monogenic architecture.
DOI: 10.5281/zenodo.15487817
title: Supplementary material for: A mosaic of modular variation at a single gene underpins convergent plumage coloration

description: The combination of genomic variation from multiple origins is an important contributor to phenotypic diversification, yet insights into the evolutionary trajectories of this combinatorial process and their interplay with genetic architecture remain scarce. We show that convergent color evolution in wheatears involves a monogenic architecture with modular variation introgressed at the agouti signalling protein (ASIP) locus. Introgression of a novel transposable element insertion and linked protein-coding variation underpin a trans-specific throat color polymorphism, which stable isotopes suggest are associated with alternative foraging niches. Co-introgression of linked regulatory ASIP variation resulted in mantle color convergence in one species, while convergent color evolution at the genus level required novel variation. Our results illustrate evolutionary trajectories from pre-existing variation realized within the constraints of a monogenic architecture.
DOI: 10.25824/redu/qz4n2a
title: Viva Bem Types of ballroom dancing dataset

description: This dataset comprises multisensory signals obtained by a smartwatch during the performance of dance types, classified by METs and organized into two experimental phases. Participants perform the tasks while smartwatch sensors capture movement and physiology data. Additionally, sociodemographic and physical fitness information is collected via form. The data aim to support research in physical activity classification, motor pattern analysis, and energy expenditure estimation. Due to privacy and ethical considerations, only a portion of the dataset may be publicly available. Researchers interested in accessing the full dataset must contact the authors and submit a formal request, which will be reviewed on a case-by-case basis to ensure compliance with privacy regulations and ethical standards. The PGD is made available here.
DOI: 10.5281/zenodo.17488593
title: Kinodata3D PLIP interactions and resources for computing PLI alignment scores.

description: This archive provides data for usage in conjunction with the Protein-Ligand Alignment evaluation Resource (PLIAR): https://github.com/volkamerlab/pliar.
DOI: 10.5281/zenodo.17488592
title: Kinodata3D PLIP interactions and resources for computing PLI alignment scores.

description: This archive provides data for usage in conjunction with the Protein-Ligand Alignment evaluation Resource (PLIAR): https://github.com/volkamerlab/pliar.
DOI: 10.15468/dl.wt7tgz
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "Year is 2013",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013061-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq2vnk
title: Occurrence Download

description: A dataset containing 24750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Theria primaria"
 ]
}

 The dataset includes 24750 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013060-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nf28n6
title: Occurrence Download

description: A dataset containing 124904 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 "DatasetKey is one of (Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))"
 ]
}

 The dataset includes 124904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013051-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.