cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17560474
title: Underwater images collected by a Kite surf in Le-Morne-Manawa-Platin-Rouge, Mauritius - 2019-08-11

description: This dataset was collected by a Kite surf in Le-Morne-Manawa-Platin-Rouge, Mauritius - 2019-08-11. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17560656
title: Civic Interconnect - Geographic Boundaries - US - Minnesota

description: This dataset is part of the Civic Interconnect project and provides official geographic boundary data for the state of Minnesota, USA.

It includes precinct layers derived from public records supplied by the Minnesota Secretary of State.

Files are formatted as GeoJSON and TopoJSON for easy use in research, visualization, and web applications.

Each release (e.g., 2025-04) represents a reproducible snapshot generated through the Civic Geo Generator using transparent, open-source workflows.
DOI: 10.21227/ejbc-5t84
title: "Source code for projects developed with Spec2Code framework"

description: "This dataset contains the complete source code for 18 production-ready mobile and web applications developed using the Spec2Code framework, an AI-assisted specification-driven development system. The applications span diverse domains including productivity tools, e-commerce platforms, educational systems, health and fitness trackers, and augmented reality applications. Each project includes: (1) complete specification documents generated from natural language descriptions, (2) implementation plans with 33 atomic tasks distributed across four development phases, (3) full source code with test suites achieving &gt;85% coverage, (4) development logs documenting time expenditure and LLM interactions, and (5) architectural documentation detailing platform-specific adaptations (React Native, Firebase, Supabase, traditional backends).The dataset demonstrates AI-assisted development across varying complexity levels: simple CRUD applications (Recipe Finder, Finance Dashboard), medium-complexity applications with real-time features (Video Conference, Marketplace), and complex applications requiring advanced functionality (AR Decorator, LMS). Total development time across all 18 projects was 83 hours using Claude Sonnet 3.5, compared to estimated 1,560-2,140 hours for traditional development, representing a 19-26\u00d7 time reduction.This dataset enables research on: (1) AI-assisted software engineering productivity and quality metrics, (2) LLM behavior patterns in multi-phase development workflows, (3) specification-to-code generation effectiveness, (4) test coverage and code quality in AI-generated applications, (5) platform-specific architectural adaptation strategies, and (6) comparative analysis of AI development frameworks. All applications are functional, deployable, and include comprehensive test suites, making this dataset suitable for empirical studies on AI-assisted software development at scale.Keywords: AI-assisted development, LLM code generation, specification-driven development, mobile applications, test-driven development, software productivity"
DOI: 10.5281/zenodo.17560686
title: Teste
title: Teste
DOI: 10.34740/kaggle/dsv/13660387
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.mkskg7
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.17019 50.86688,14.52421 50.86688,14.52421 50.98206,14.17019 50.98206,14.17019 50.86688))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryocopus martius",
 "Year 2019-2022"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023271-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxy65b
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.17624 50.85282,14.51647 50.85282,14.51647 50.97373,14.17624 50.97373,14.17624 50.85282))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 2019-2022"
 ]
}

 The dataset includes 109 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023272-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15976688
title: SOZ machine-readable

description: This file contains a structured, machine-readable representation of the SOZ (Self-Optimization Cycle) cognitive model. It documents the interlinked clusters, connections, and hierarchical architecture of the SOZ system in plain-text format. The format is optimized for algorithmic parsing, pattern recognition, and structural analysis, enabling applications in AI cognition modeling, knowledge graph generation, or dynamic system simulation.

Each cluster is labeled with an identifier (e.g., A, B6, K4.2.1.1.5). This structure allows for reconstruction of the entire model logic and topology without graphical input.
DOI: 10.5281/zenodo.15976689
title: SOZ machine-readable

description: This file contains a structured, machine-readable representation of the SOZ (Self-Optimization Cycle) cognitive model. It documents the interlinked clusters, connections, and hierarchical architecture of the SOZ system in plain-text format. The format is optimized for algorithmic parsing, pattern recognition, and structural analysis, enabling applications in AI cognition modeling, knowledge graph generation, or dynamic system simulation.

Each cluster is labeled with an identifier (e.g., A, B6, K4.2.1.1.5). This structure allows for reconstruction of the entire model logic and topology without graphical input.
DOI: 10.15468/dl.gntcxm
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cajanus aromaticus",
 "Year 1950-2025"
 ]
}

 The dataset includes 136 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023273-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmtvfg
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus brantii"
 ]
}

 The dataset includes 98 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023274-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgpjs7
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.14644 50.85895,14.49898 50.85895,14.49898 50.98824,14.14644 50.98824,14.14644 50.85895))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fringilla coelebs",
 "Year 2019-2022"
 ]
}

 The dataset includes 132 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023275-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92yxmf
title: Occurrence Download

description: A dataset containing 182164 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])",
 "StateProvince is one of (Santander)",
 "GadmGid is one of (COL.28.61_2, COL.28.9_2, COL.28.33_2, COL.28.36_2)"
 ]
 }
 ]
}

 The dataset includes 182164 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023268-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fynmkv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.17019 50.86688,14.52421 50.86688,14.52421 50.98206,14.17019 50.98206,14.17019 50.86688))",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryocopus martius",
 "Year 2022-2022"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023276-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17458287
title: Light and Relic — The Living Provenance of the Arknight Shard (CRU000)

description: Light and Relic redefines provenance as a living act of documentation rather than a static record of origin. Conceived by conceptual artist Sebastian Blume (Hannover, Germany), the project transforms the Arknight Shard Cold Foil (CRU000) from the Flesh and Blood TCG into a contemporary relic whose surface becomes its own archive.

Through macro photography in hard raking light and a nine-segment focus-stacking process — forty layers per segment combined into a single panoramic composite — the card’s micro-relief is rendered as a cartography of contact and time. Within this field, one hundred fourteen individual micro-scratches are manually revealed, extracted as vector coordinates, and encoded into a canonical JSON data structure, where data becomes memory and the surface becomes archive.

The resulting dataset is cryptographically sealed through FES digital signatures (verifiable authorship) and OpenTimestamp anchoring on the Bitcoin blockchain (immutable chronology). Together, these layers define authenticity not as possession but as process — an ethical and artistic gesture uniting act, object, and record.

By merging imaging science, cryptographic verification, and conceptual narrative, Light and Relic establishes a framework for what provenance can become when light, evidence, and memory converge into a single, self-remembering artifact.
DOI: 10.5281/zenodo.17458288
title: Light and Relic — The Living Provenance of the Arknight Shard (CRU000)

description: Light and Relic redefines provenance as a living act of documentation rather than a static record of origin. Conceived by conceptual artist Sebastian Blume (Hannover, Germany), the project transforms the Arknight Shard Cold Foil (CRU000) from the Flesh and Blood TCG into a contemporary relic whose surface becomes its own archive.

Through macro photography in hard raking light and a nine-segment focus-stacking process — forty layers per segment combined into a single panoramic composite — the card’s micro-relief is rendered as a cartography of contact and time. Within this field, one hundred fourteen individual micro-scratches are manually revealed, extracted as vector coordinates, and encoded into a canonical JSON data structure, where data becomes memory and the surface becomes archive.

The resulting dataset is cryptographically sealed through FES digital signatures (verifiable authorship) and OpenTimestamp anchoring on the Bitcoin blockchain (immutable chronology). Together, these layers define authenticity not as possession but as process — an ethical and artistic gesture uniting act, object, and record.

By merging imaging science, cryptographic verification, and conceptual narrative, Light and Relic establishes a framework for what provenance can become when light, evidence, and memory converge into a single, self-remembering artifact.
DOI: 10.15468/dl.rvneez
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.17624 50.85282,14.51647 50.85282,14.51647 50.97373,14.17624 50.97373,14.17624 50.85282))",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 2022-2022"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023277-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uq64z2
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.14644 50.85895,14.49898 50.85895,14.49898 50.98824,14.14644 50.98824,14.14644 50.85895))",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fringilla coelebs",
 "Year 2022-2022"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023278-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8w4cy
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.18915 50.84319,14.5315 50.84319,14.5315 50.97771,14.18915 50.97771,14.18915 50.84319))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus merula",
 "Year 2019-2022"
 ]
}

 The dataset includes 128 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023279-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vey8f
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.15027 50.86302,14.52871 50.86302,14.52871 50.98062,14.15027 50.98062,14.15027 50.86302))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocopos major",
 "Year 2019-2022"
 ]
}

 The dataset includes 116 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023280-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wumk7h
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Türkiye, Russian Federation, Armenia, Georgia, Iran (Islamic Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus macranthera"
 ]
}

 The dataset includes 94 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023281-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n26y36
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((14.14749 50.85179,14.54285 50.85179,14.54285 50.98072,14.14749 50.98072,14.14749 50.85179))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 2023-2025"
 ]
}

 The dataset includes 178 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023282-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17560548
title: In vivo evolution of human MERS-CoV reveals dynamic remodeling of the DPP4-binding interface originally defined by Lu et al. (Nature, 2013)

description: The atomic-resolution model of MERS-CoV-DPP4 binding (Lu et al., Nature 2013) provided a crucial framework for understanding coronavirus entry. However, whether this interface remains conserved during human transmission has remained unknown.

So building on the landmark structural work of Lu et al., which defined the receptor-binding domain (RBD) of MERS-CoV Spike (residues 367-606) and identified key residues including W535, W553, and V555 as critical for DPP4 engagement, we investigated the conservation of this interface in circulating human strains.

Analysis of 272 full-genome human MERS-CoV isolates reveals a striking pattern of in vivo adaptation: while the EMC/2012 lab strain (AFS88936.1) retains the canonical anchor motif, all human-derived sequences exhibit consistent substitutions across the RBD, culminating in a fixed TGA stop codon at Spike position 555 truncating the protein within the receptor-binding motif.

This suggests that natural MERS-CoV evolution in human hosts has remodeled the DPP4 interface in ways not captured by the original structural model, which was based on a recombinant RBD from a cell-culture-adapted isolate.

Our data underscore the importance of complementing structural biology with large-scale clinical genomic surveillance to capture real-time viral adaptation.

All sequences, analysis scripts, and residue-level reports are provided for reproducibility. 

 

Refrence:

LETTERdoi:10.1038/nature12328Molecular basis of binding between novel humancoronavirus MERS-CoV and its receptor CD26Guangwen Lu1*, Yawei Hu2*, Qihui Wang1*, Jianxun Qi1*, Feng Gao3,4*, Yan Li1, Yanfang Zhang1,5, Wei Zhang1, Yuan Yuan1,6,Jinku Bao4, Buchang Zhang2, Yi Shi7, Jinghua Yan1 & George F. Gao1,5,6,7,8
description: Note on references: NC_019843.3 extends the 3′ UTR of NC_019843.2 by 8 nucleotides but encodes an identical Spike protein. Discrepancies in automated translations stem from CDS annotation, not biology. All functional analyses used AFS88936.1 as the authoritative reference.
DOI: 10.5281/zenodo.17560547
title: In vivo evolution of human MERS-CoV reveals dynamic remodeling of the DPP4-binding interface originally defined by Lu et al. (Nature, 2013)

description: The atomic-resolution model of MERS-CoV-DPP4 binding (Lu et al., Nature 2013) provided a crucial framework for understanding coronavirus entry. However, whether this interface remains conserved during human transmission has remained unknown.

So building on the landmark structural work of Lu et al., which defined the receptor-binding domain (RBD) of MERS-CoV Spike (residues 367-606) and identified key residues including W535, W553, and V555 as critical for DPP4 engagement, we investigated the conservation of this interface in circulating human strains.

Analysis of 272 full-genome human MERS-CoV isolates reveals a striking pattern of in vivo adaptation: while the EMC/2012 lab strain (AFS88936.1) retains the canonical anchor motif, all human-derived sequences exhibit consistent substitutions across the RBD, culminating in a fixed TGA stop codon at Spike position 555 truncating the protein within the receptor-binding motif.

This suggests that natural MERS-CoV evolution in human hosts has remodeled the DPP4 interface in ways not captured by the original structural model, which was based on a recombinant RBD from a cell-culture-adapted isolate.

Our data underscore the importance of complementing structural biology with large-scale clinical genomic surveillance to capture real-time viral adaptation.

All sequences, analysis scripts, and residue-level reports are provided for reproducibility. 

 

Refrence:

LETTERdoi:10.1038/nature12328Molecular basis of binding between novel humancoronavirus MERS-CoV and its receptor CD26Guangwen Lu1*, Yawei Hu2*, Qihui Wang1*, Jianxun Qi1*, Feng Gao3,4*, Yan Li1, Yanfang Zhang1,5, Wei Zhang1, Yuan Yuan1,6,Jinku Bao4, Buchang Zhang2, Yi Shi7, Jinghua Yan1 & George F. Gao1,5,6,7,8
description: Note on references: NC_019843.3 extends the 3′ UTR of NC_019843.2 by 8 nucleotides but encodes an identical Spike protein. Discrepancies in automated translations stem from CDS annotation, not biology. All functional analyses used AFS88936.1 as the authoritative reference.
DOI: 10.5281/zenodo.17552495
title: DeepEvoSeq data
DOI: 10.5281/zenodo.17552494
title: DeepEvoSeq data