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

description: A dataset containing 75074 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mollusca (Luomus)"
 ]
}

 The dataset includes 75074 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072180-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30994396
title: Scalable Vulnerability Classification: Siamese Network with LLMs for CVE-CWE Mapping

description: Abstract—Context: Software bugs often represent critical security vulnerabilities that can lead to unauthorized access and data leakage. To systematically classify such vulnerabilities, the security community relies on two key resources: the Common Weakness Enumeration (CWE) taxonomy and the Common Vulnerabilities and Exposures (CVE) database. Objective: We propose a Siamese network-based framework combined with Large Language Models (LLMs) to automate the mapping of data-leak-related CVEs to their root cause CWEs. Unlike prior work that treats this as a generic multi-class classification task, we formulate it as a semantic ranking problem focused on distinguishing fine-grained information exposure weaknesses to better reflect real-world analyst workflows. Method: We utilize a ”Hybrid Hard-Negative Mining” strategy that trains the model to distinguish between semantically similar but incorrect weakness categories. We further employ a CVE-disjoint split to ensure the model generalizes to unseen vulnerabilities rather than memorizing descriptions. Results: Experimental results demonstrate that our framework effectively retrieves the correct weakness from a focused taxonomy of 115 data-leakage categories. On a rigorous ranking benchmark, the model achieves a Recall@10 of 92.8% and a Mean Reciprocal Rank (MRR) of 72.4%. Conclusions: This automated mapping expedites the classification of critical data exposure vulnerabilities and reduces the dependency on labor-intensive manual processes, offering a scalable solution for more efficient vulnerability management.
DOI: 10.6084/m9.figshare.30994396.v1
title: Scalable Vulnerability Classification: Siamese Network with LLMs for CVE-CWE Mapping

description: Abstract—Context: Software bugs often represent critical security vulnerabilities that can lead to unauthorized access and data leakage. To systematically classify such vulnerabilities, the security community relies on two key resources: the Common Weakness Enumeration (CWE) taxonomy and the Common Vulnerabilities and Exposures (CVE) database. Objective: We propose a Siamese network-based framework combined with Large Language Models (LLMs) to automate the mapping of data-leak-related CVEs to their root cause CWEs. Unlike prior work that treats this as a generic multi-class classification task, we formulate it as a semantic ranking problem focused on distinguishing fine-grained information exposure weaknesses to better reflect real-world analyst workflows. Method: We utilize a ”Hybrid Hard-Negative Mining” strategy that trains the model to distinguish between semantically similar but incorrect weakness categories. We further employ a CVE-disjoint split to ensure the model generalizes to unseen vulnerabilities rather than memorizing descriptions. Results: Experimental results demonstrate that our framework effectively retrieves the correct weakness from a focused taxonomy of 115 data-leakage categories. On a rigorous ranking benchmark, the model achieves a Recall@10 of 92.8% and a Mean Reciprocal Rank (MRR) of 72.4%. Conclusions: This automated mapping expedites the classification of critical data exposure vulnerabilities and reduces the dependency on labor-intensive manual processes, offering a scalable solution for more efficient vulnerability management.
DOI: 10.15468/dl.gdcnv5
title: Occurrence Download

description: A dataset containing 2334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Aliger gigas",
 "Year 1000-2026"
 ]
}

 The dataset includes 2334 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072181-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hjd8vt
title: Anolis distichus whole-genome assembly and associated data files

description: Anolis distichus whole-genome sequence assembly as a .fasta file, and associated genome files (annotation as .gff, protein, transcript and coding sequences, repeat .gff file)
DOI: 10.34740/kaggle/dsv/14385452
title: Berita UII
DOI: 10.34740/kaggle/dsv/14385459
title: Dataset jadwal event lariku.info
DOI: 10.34740/kaggle/dsv/14385468
title: List Benchmarks Kaggle
DOI: 10.15468/dl.f9na2q
title: Occurrence Download

description: A dataset containing 78260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 78260 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072179-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18142324
title: Beyond Complicated Chemistry: Life, Autonomy, and the Future of Physics in an Age of Artificial Intelligence

description: Life is commonly treated within the natural sciences as a particularly complex manifestation of chemistry governed by known physical laws. While this reductionist framework has yielded significant explanatory and predictive success in molecular biology, it remains insufficient to account for the distinctive organizational properties of living systems, including autonomy, purposive behavior, and self-maintenance. Building on work in thermodynamics, complex systems theory, theoretical biology, and artificial intelligence research, this paper argues that life constitutes a distinct physical phenomenon characterized by constraint-generating organization rather than mere chemical complexity (Schrödinger, 1944; Kauffman, 2000; Moreno & Mossio, 2015). The paper further contends that recent advances in artificial intelligence provide a novel empirical context in which autonomy and goal-directed behavior emerge in non-biological substrates, thereby challenging biology-centric accounts of life and exposing conceptual gaps in contemporary physics (Friston, 2010; Walker & Davies, 2013). Framed as a manifesto-style positioning paper, this work argues that physics must expand its conceptual foundations to incorporate agency, normativity, and viability-based causation if it is to remain adequate to the phenomena it seeks to explain.
DOI: 10.5281/zenodo.18142325
title: Beyond Complicated Chemistry: Life, Autonomy, and the Future of Physics in an Age of Artificial Intelligence

description: Life is commonly treated within the natural sciences as a particularly complex manifestation of chemistry governed by known physical laws. While this reductionist framework has yielded significant explanatory and predictive success in molecular biology, it remains insufficient to account for the distinctive organizational properties of living systems, including autonomy, purposive behavior, and self-maintenance. Building on work in thermodynamics, complex systems theory, theoretical biology, and artificial intelligence research, this paper argues that life constitutes a distinct physical phenomenon characterized by constraint-generating organization rather than mere chemical complexity (Schrödinger, 1944; Kauffman, 2000; Moreno & Mossio, 2015). The paper further contends that recent advances in artificial intelligence provide a novel empirical context in which autonomy and goal-directed behavior emerge in non-biological substrates, thereby challenging biology-centric accounts of life and exposing conceptual gaps in contemporary physics (Friston, 2010; Walker & Davies, 2013). Framed as a manifesto-style positioning paper, this work argues that physics must expand its conceptual foundations to incorporate agency, normativity, and viability-based causation if it is to remain adequate to the phenomena it seeks to explain.
DOI: 10.34740/kaggle/dsv/14385483
title: Berita UNPAM
DOI: 10.15468/dl.36jtgu
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pezophaps solitaria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072183-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfv4r5
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Austria, Croatia, Hungary, Serbia, Slovenia)",
 "TaxonKey is Faxonius limosus"
 ]
}

 The dataset includes 139 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072182-251120083545085/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/14385506
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.qyz3mh
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Tetronarce tremens"
 ]
}

 The dataset includes 555 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072186-251120083545085/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/14385552
title: Berita UNDIP
DOI: 10.15468/dl.2vu5z2
title: Occurrence Download

description: A dataset containing 669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is IDN.22_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 669 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072188-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jhs83
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anura",
 "GadmGid is IDN.23_1",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 709 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072187-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2nk1pz
title: CCDC 2459251: Experimental Crystal Structure Determination

description: Related Article: William P. Howlett, Tyler J. Hannah, Lars J. C. Zee, J. Chris Slootweg, Jason D. Masuda, Saurabh S. Chitnis|2026|Angew.Chem.,Int.Ed.|65|e18367|doi:10.1002/anie.202518367
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/14385565
title: US Congress Members
DOI: 10.5281/zenodo.18142285
title: Shuttlecock velocity decay after smash and slice shots in badminton

description: Figure 3. Shuttlecock trajectory: x is the coordinate along the court, y is the altitude. Velocity decay with the distance r from the smash.

Figure 4. Velocities of the CoM of the shuttlecock and of the cork.

Figure 5. Deviation of the velocity of the CoM from the exponential law.

Figure 6. Velocity decay after smash shot for Yonex AS20 shuttlecocks. 

Figure 7. Velocity decay after smash shot for plastic Yonex Mavis 300 shuttlecocks for different initial velocities V0. 

Figure 9. Speed decay of a AS20 V3/77 shuttlecock. The aerodynamic length is lower for the for a left-hander (LH) slice.

Figure 10. Speed decay of a AS20 76/V2 shuttlecock. The aerodynamic length is lower for the right-hander RH reverse slice.

Figure 11. Time-of-flight of a AS20 78/V4 shuttlecock after a smash shot with an initial velocity of 300 km/h. The time-of-flight increases by +50% for a smash of 11.5 m vs 10 m.

Video 1. Smash stroke, performed by A.S. Rasmussen during the IFB 2025 with a Yonex AS50 77/V3

Video 2. Smash shot by C.-L. Wang during the IFB 2025.

Video 3. Deformation of the plastic shuttlecock from an initial shape with 16-fold symmetry to square or triangular shape after smash.

Video 4. slice shots and reverse slice shots performed by right-handers and left-handers.
DOI: 10.5281/zenodo.18142286
title: Shuttlecock velocity decay after smash and slice shots in badminton

description: Figure 3. Shuttlecock trajectory: x is the coordinate along the court, y is the altitude. Velocity decay with the distance r from the smash.

Figure 4. Velocities of the CoM of the shuttlecock and of the cork.

Figure 5. Deviation of the velocity of the CoM from the exponential law.

Figure 6. Velocity decay after smash shot for Yonex AS20 shuttlecocks. 

Figure 7. Velocity decay after smash shot for plastic Yonex Mavis 300 shuttlecocks for different initial velocities V0. 

Figure 9. Speed decay of a AS20 V3/77 shuttlecock. The aerodynamic length is lower for the for a left-hander (LH) slice.

Figure 10. Speed decay of a AS20 76/V2 shuttlecock. The aerodynamic length is lower for the right-hander RH reverse slice.

Figure 11. Time-of-flight of a AS20 78/V4 shuttlecock after a smash shot with an initial velocity of 300 km/h. The time-of-flight increases by +50% for a smash of 11.5 m vs 10 m.

Video 1. Smash stroke, performed by A.S. Rasmussen during the IFB 2025 with a Yonex AS50 77/V3

Video 2. Smash shot by C.-L. Wang during the IFB 2025.

Video 3. Deformation of the plastic shuttlecock from an initial shape with 16-fold symmetry to square or triangular shape after smash.

Video 4. slice shots and reverse slice shots performed by right-handers and left-handers.
DOI: 10.15468/dl.c297sa
title: Occurrence Download

description: A dataset containing 42313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aurelia aurita",
 "Year 1990-2025"
 ]
}

 The dataset includes 42313 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072191-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18127163
title: RMD-EHT: Songline Ignition Protocol – 99.7% Verified"

description: RELATIONAL MANIFOLD DYNAMICS (RMD) / EHT FRAMEWORKCOMPLETE DISCLOSURE: PART 2 – FULL PROTOCOL & EVIDENCE

The Unified Theory of Ancestral Everything (TAE)Principal Investigator: Chloe TullyAffiliation: Independent Researcher | North Tamworth, New South Wales, AustraliaDate: January 2, 2026 

Part 1 mapped the Tully Grid. Part 2 ignites it through biological conduction.Key Results:Pulsar glitches predicted 99.7% (47 ATNF events, p<10^{-12})Soft-touch stone spin at Harmonic Hubble [H_h = 14.83] km/s/MpcSongline charging (Dec 28, 2025, Uluru alignment) enables reproducible ignitionVela pulsar test: April 15, 2026 (falsifiable)The Universe requires conductors.

1. MATHEMATICAL FOUNDATION1.1 Songline Unified Equation (SUE)Flux-Locking: [V(\mathcal{L}) = \lambda (\nabla \wedge \mathcal{L})^2]1.2 Tully Bridge IgnitionHarmonic Hubble: [H_h = H_0 / \sqrt{24} = 14.83 \, \mathrm{km/s/Mpc}]

2. EMPIRICAL EVIDENCE2.1 Pulsar Glitch Correlations (99.7% Accuracy)Next Test: Vela glitch MJD 60258.3 ±1.2 days (April 15, 2026)2.2 Global Hum ValidationIRIS seismic data: 10.88 mHz peaks correlate with Kp-index (r=0.87, n=120)

3. SONG LINE CHARGING & SOFT TOUCH PROTOCOL 3.1 Charging Event (Primary)Date: December 28, 2025 @ 23:00 AEDTLocation: Songline segment, 200m from residence (North Tamworth, NSW: 31.°S, 150.°E)Alignment: Uluru Anchor (α-1) great-circle activeMaterials: Australian opal, quartz (Mohs 5.5-7.0)Duration: Full nocturnal cycle (high-tension solstice window)Result: 3.7× torsional enhancement3.2 Ignition Protocol (17 Minutes)Phase 1 (0-4min): Neural entrainment (7.83 Hz Schumann)Phase 2 (4-17min): Lore resonance lock (10.88 mHz)Phase 3 (17min+): Soft touch activation (<0.01N fingertip contact)Observed: Instant spin initiation (0.3s), ω_h = 14.83 Hz stable4. December 28th under Uluru alignment, I charged my fossil stones right there. Soft touch on the pin—bam, they spin 14.83 Hz Harmonic Hubble. Predicted pulsar glitches worldwide 99.7% accurate. The manifold flows through ancestral resonance in my touch.

5. FALSIFICATION TESTSVela Pulsar: MJD 60258.3 (Apr 15, 2026) – NICER/XMMAsteroid 2026 GE: Mar 7, 2026 – Goldstone radarLIGO O5 Ringdown: Q1 2026 – 10.88 mHz subharmonics

6. EXISTENTIAL CLOSURE The Universe's Final Secret:Reality requires relational conductors. Your North Tamworth Songline, the charged stones, ancestral touch—they complete the manifold." The stones spin softly because everything remembers."Sovereignty Declared.
DOI: 10.5281/zenodo.18127164
title: RMD-EHT: Songline Ignition Protocol – 99.7% Verified"

description: RELATIONAL MANIFOLD DYNAMICS (RMD) / EHT FRAMEWORKCOMPLETE DISCLOSURE: PART 2 – FULL PROTOCOL & EVIDENCE

The Unified Theory of Ancestral Everything (TAE)Principal Investigator: Chloe TullyAffiliation: Independent Researcher | North Tamworth, New South Wales, AustraliaDate: January 2, 2026 

Part 1 mapped the Tully Grid. Part 2 ignites it through biological conduction.Key Results:Pulsar glitches predicted 99.7% (47 ATNF events, p<10^{-12})Soft-touch stone spin at Harmonic Hubble [H_h = 14.83] km/s/MpcSongline charging (Dec 28, 2025, Uluru alignment) enables reproducible ignitionVela pulsar test: April 15, 2026 (falsifiable)The Universe requires conductors.

1. MATHEMATICAL FOUNDATION1.1 Songline Unified Equation (SUE)Flux-Locking: [V(\mathcal{L}) = \lambda (\nabla \wedge \mathcal{L})^2]1.2 Tully Bridge IgnitionHarmonic Hubble: [H_h = H_0 / \sqrt{24} = 14.83 \, \mathrm{km/s/Mpc}]

2. EMPIRICAL EVIDENCE2.1 Pulsar Glitch Correlations (99.7% Accuracy)Next Test: Vela glitch MJD 60258.3 ±1.2 days (April 15, 2026)2.2 Global Hum ValidationIRIS seismic data: 10.88 mHz peaks correlate with Kp-index (r=0.87, n=120)

3. SONG LINE CHARGING & SOFT TOUCH PROTOCOL 3.1 Charging Event (Primary)Date: December 28, 2025 @ 23:00 AEDTLocation: Songline segment, 200m from residence (North Tamworth, NSW: 31.°S, 150.°E)Alignment: Uluru Anchor (α-1) great-circle activeMaterials: Australian opal, quartz (Mohs 5.5-7.0)Duration: Full nocturnal cycle (high-tension solstice window)Result: 3.7× torsional enhancement3.2 Ignition Protocol (17 Minutes)Phase 1 (0-4min): Neural entrainment (7.83 Hz Schumann)Phase 2 (4-17min): Lore resonance lock (10.88 mHz)Phase 3 (17min+): Soft touch activation (<0.01N fingertip contact)Observed: Instant spin initiation (0.3s), ω_h = 14.83 Hz stable4. December 28th under Uluru alignment, I charged my fossil stones right there. Soft touch on the pin—bam, they spin 14.83 Hz Harmonic Hubble. Predicted pulsar glitches worldwide 99.7% accurate. The manifold flows through ancestral resonance in my touch.

5. FALSIFICATION TESTSVela Pulsar: MJD 60258.3 (Apr 15, 2026) – NICER/XMMAsteroid 2026 GE: Mar 7, 2026 – Goldstone radarLIGO O5 Ringdown: Q1 2026 – 10.88 mHz subharmonics

6. EXISTENTIAL CLOSURE The Universe's Final Secret:Reality requires relational conductors. Your North Tamworth Songline, the charged stones, ancestral touch—they complete the manifold." The stones spin softly because everything remembers."Sovereignty Declared.
DOI: 10.5281/zenodo.18123543
title: RMD Global Site Grid + 10k views

description: RMD Fossil Rock Spins: UFO Grid Manifestations The relational manifold dynamics (RMD) find physical embodiment in rare Tamworth region specimens—termed RMD fossil rock —that exhibit anomalous rotational stability encoding UFO grid signatures.5.1 Primary Tully Fold SpecimenThe signature "Tully fold" stone demonstrates persistent higher-dimensional spin when rotated along its natural fold axis. This compression-resistant motion defies Newtonian torque decay, sustaining grid-aligned rotation for durations exceeding classical expectations by orders of magnitude.5.2 Empirical ObservationsSpin persistence: >300 seconds observed (ambient conditions, no magnetic isolation).Axis stability: Self-corrects to ~23.5° inclination matching geomagnetic field.Energy signature: Emits faint ELF harmonics during peak stability (preliminary smartphone magnetometer data).Theoretical Mapping These fossil rock spins represent stabilized relational manifold folds where lithic microstructure channels compressed higher-dimensional geodesics into 3-space rotational observables. The Tully fold configuration predicts UFO propulsion signatures: torque-free spin, geomagnetic coupling, and ELF emissions matching declassified military UAP sensor data. Figure  Primary Tully fold specimen demonstrating sustained RMD spin. The RMD fossil rock spins provide direct empirical bridge between relational manifold theory and observable UFO grid phenomenology, warranting systematic geological survey of Tamworth formation for additional manifestations.
DOI: 10.5281/zenodo.18122645
title: RMD Global Site Grid + 10k views

description: RMD Fossil Rock Spins: UFO Grid Manifestations The relational manifold dynamics (RMD) find physical embodiment in rare Tamworth region specimens—termed RMD fossil rock —that exhibit anomalous rotational stability encoding UFO grid signatures.5.1 Primary Tully Fold SpecimenThe signature "Tully fold" stone demonstrates persistent higher-dimensional spin when rotated along its natural fold axis. This compression-resistant motion defies Newtonian torque decay, sustaining grid-aligned rotation for durations exceeding classical expectations by orders of magnitude.5.2 Empirical ObservationsSpin persistence: >300 seconds observed (ambient conditions, no magnetic isolation).Axis stability: Self-corrects to ~23.5° inclination matching geomagnetic field.Energy signature: Emits faint ELF harmonics during peak stability (preliminary smartphone magnetometer data).Theoretical Mapping These fossil rock spins represent stabilized relational manifold folds where lithic microstructure channels compressed higher-dimensional geodesics into 3-space rotational observables. The Tully fold configuration predicts UFO propulsion signatures: torque-free spin, geomagnetic coupling, and ELF emissions matching declassified military UAP sensor data. Figure  Primary Tully fold specimen demonstrating sustained RMD spin. The RMD fossil rock spins provide direct empirical bridge between relational manifold theory and observable UFO grid phenomenology, warranting systematic geological survey of Tamworth formation for additional manifestations.