cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.32553
title: Supporting data of the paper "In-lake GHG production constrained by lake DOM mass balance in a boreal catchment"
title: Supporting data of the paper "In-lake GHG production constrained by lake DOM mass balance in a boreal catchment"

description: *This dataset is served as the supplementary data for the reviewing paper "In-lake GHG production constrained by lake DOM mass balance in a boreal catchment".This dataset provided the meteorology, hydrology, and water chemistry data of lake Langtjern (Norway) in 2023. The meteorology data includes daily wind speed (2m height), daily air temperature, and daily precipitation data, which were collected by the high-frequency sensor around the lakeshore in 2023.Hydrology data includes the daily catchment discharge into the lake, and the daily lake discharge output in 2023. The lake discharge output is downloaded from NVE (OA), and the ctachment discharge input is derived from the lake discharge output with using BV-model (an experienced hydrology model developed in lake Langtjern). The water chemistry data includes conductivity, pH, total nitrogen, dissolved organic carbon, dissolved gases (CO2 and CH4), total phosphrous, dissolved organic nitrogen, etc, from the grabbed samples in stream inlets, inner lake (littoral zone and central lake), and outlet. All chemistry data are measured by the professional commercial lab (NIVA), except for the dissolved gases (measured by myself).
description: *This dataset is served as the supplementary data for the reviewing paper "In-lake GHG production constrained by lake DOM mass balance in a boreal catchment".This dataset provided the meteorology, hydrology, and water chemistry data of lake Langtjern (Norway) in 2023. The meteorology data includes daily wind speed (2m height), daily air temperature, and daily precipitation data, which were collected by the high-frequency sensor around the lakeshore in 2023.Hydrology data includes the daily catchment discharge into the lake, and the daily lake discharge output in 2023. The lake discharge output is downloaded from NVE (OA), and the ctachment discharge input is derived from the lake discharge output with using BV-model (an experienced hydrology model developed in lake Langtjern). The water chemistry data includes conductivity, pH, total nitrogen, dissolved organic carbon, dissolved gases (CO2 and CH4), total phosphrous, dissolved organic nitrogen, etc, from the grabbed samples in stream inlets, inner lake (littoral zone and central lake), and outlet. All chemistry data are measured by the professional commercial lab (NIVA), except for the dissolved gases (measured by myself).
DOI: 10.57760/sciencedb.32638
title: Acoustic signal spectrumgram corresponding to various surface defect under current carrying friction conditions
title: Acoustic signal spectrumgram corresponding to various surface defect under current carrying friction conditions

description: The dataset covers acoustic signal data corresponding to "pit" defects, "vertical scratch", "horizontal scratch"and "no defects" scene. The number of defects is 1, 2, and 3 respectively. A total of 12 datasets
description: The dataset covers acoustic signal data corresponding to "pit" defects, "vertical scratch", "horizontal scratch"and "no defects" scene. The number of defects is 1, 2, and 3 respectively. A total of 12 datasets
DOI: 10.57760/sciencedb.03266
title: Distribution of exotic mangroves Sonneratia apetala in China for 2024
title: 2024年中国无瓣海桑分布数据

description: Since the Sustainable Development Goals (SDGs) came into effect in 2016, mangroves have received unprecedented attention for carbon sequestration capacity. In China, previous studies focused on the total area of mangroves using remote sensing technique, neglecting expansion of the exotic mangrove species Sonneratia apetala, even when the species is encroaching on habitat of native species. We proposed a robust and interpretable approach to identify the exotic species, applied this approach to generate S. apetala map in China for 2024 using Sentinel-1/2 imagery, and revealed its expansion since start of the SDGs by combining existing datasets. The approach, in the form of a decision rule — VH ≥ –14.390 & B11 &lt; 0.084—achieved an overall accuracy of 97.0% for the generated S. apetala map. Evaluated using 159 field samples, the S. apetala map for 2024 achieved an accuracy of 91.8%. The total area of the exotic species in China for 2024 was 3675 ha, which is ~ 1.25 times the area in 2020 and ~ 1.99 times the area in 2016. This study contributes a robust and interpretable approach for identifying S. apetala, revealing whether a pixel from Sentinel-1/2 imagery is inferred as S. apetala. Additionally, this study provides the first holistic view on expansion dynamics of exotic species since start of the SDGs by revealing the shrinking habitat of native mangrove species.
description: Since the Sustainable Development Goals (SDGs) came into effect in 2016, mangroves have received unprecedented attention for carbon sequestration capacity. In China, previous studies focused on the total area of mangroves using remote sensing technique, neglecting expansion of the exotic mangrove species Sonneratia apetala, even when the species is encroaching on habitat of native species. We proposed a robust and interpretable approach to identify the exotic species, applied this approach to generate S. apetala map in China for 2024 using Sentinel-1/2 imagery, and revealed its expansion since start of the SDGs by combining existing datasets. The approach, in the form of a decision rule — VH ≥ –14.390 & B11 &lt; 0.084—achieved an overall accuracy of 97.0% for the generated S. apetala map. Evaluated using 159 field samples, the S. apetala map for 2024 achieved an accuracy of 91.8%. The total area of the exotic species in China for 2024 was 3675 ha, which is ~ 1.25 times the area in 2020 and ~ 1.99 times the area in 2016. This study contributes a robust and interpretable approach for identifying S. apetala, revealing whether a pixel from Sentinel-1/2 imagery is inferred as S. apetala. Additionally, this study provides the first holistic view on expansion dynamics of exotic species since start of the SDGs by revealing the shrinking habitat of native mangrove species.
DOI: 10.15468/dl.aq5p8c
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhadinorhynchus pristis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017699-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qfv7p
title: Occurrence Download

description: A dataset containing 398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June)",
 "TaxonKey is Falco cherrug",
 "Year 2005-2015"
 ]
}

 The dataset includes 398 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017700-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17768969
title: Cognitive control is domain-specific in both spatial and semantic conflict processing
DOI: 10.5281/zenodo.17768970
title: Cognitive control is domain-specific in both spatial and semantic conflict processing
DOI: 10.15468/dl.3jy7bf
title: Occurrence Download

description: A dataset containing 4368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Machaeranthera tanacetifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4368 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017701-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17768924
title: ABOS-11: Global Resonance Hypothesis — 7.83 Hz as the Eigenfrequency of Alpha-Asymmetry

description: This work demonstrates that the angular excess Δ = 7θ − 360° ≈ 4.425°, arising from the alpha-calibrated 7-ray spiral structure of prime numbers, geometrically determines both the effective height of the Earth–ionosphere cavity (h ≈ 78.4 km) and the fundamental Schumann resonance frequency (f ≈ 7.83 Hz). The near-equality h/10 ≈ f (relative error < 0.13%) is shown to be a consequence of the ABOS causal lattice—not numerical coincidence.

 

Key results:



Exact derivation of Δ from α = 2√3 + 3 − 2√2 − √6, yielding θ = 180° / (3 + 1/(1+α)) ≈ 52.060718°;

7θ = 364.425° → Δ = 4.425°, inducing negative Gaussian curvature (Gauss–Bonnet theorem);

3D embedding of the prime-number spiral on a hyperbolic paraboloid (“Pringles chip”) explains the observed quasi-periodicity (81 cycles ≈ 358.4° closure);

h = R · Δ/360° = 78.399 km matches the D/E-layer height, where Schumann resonances are sustained;

f = 7.83 Hz satisfies h/10 ≈ f and h/λ ≈ (1/6)·Δ/360° (error < 0.06%), confirming scalar consistency.


 

Empirical support:



7-ray pattern aligns with satellite imagery of cyclonic vortices (e.g., hurricanes), suggesting universality of α-mode geometry in rotating dissipative systems;

Animated 3D spiral and planar projection confirm structural stability across scales.


 

This work completes a quartet of interdependent hypotheses, revealing the ABOS lattice as a geometric–thermodynamic backbone of irreversible processes—from quantum jumps to planetary resonance.

 



This text was composed in English with AI assistance. All scientific content, hypotheses, constants, and interpretations originate entirely from the author.
DOI: 10.5281/zenodo.17768923
title: ABOS-11: Global Resonance Hypothesis — 7.83 Hz as the Eigenfrequency of Alpha-Asymmetry

description: This work demonstrates that the angular excess Δ = 7θ − 360° ≈ 4.425°, arising from the alpha-calibrated 7-ray spiral structure of prime numbers, geometrically determines both the effective height of the Earth–ionosphere cavity (h ≈ 78.4 km) and the fundamental Schumann resonance frequency (f ≈ 7.83 Hz). The near-equality h/10 ≈ f (relative error < 0.13%) is shown to be a consequence of the ABOS causal lattice—not numerical coincidence.

 

Key results:



Exact derivation of Δ from α = 2√3 + 3 − 2√2 − √6, yielding θ = 180° / (3 + 1/(1+α)) ≈ 52.060718°;

7θ = 364.425° → Δ = 4.425°, inducing negative Gaussian curvature (Gauss–Bonnet theorem);

3D embedding of the prime-number spiral on a hyperbolic paraboloid (“Pringles chip”) explains the observed quasi-periodicity (81 cycles ≈ 358.4° closure);

h = R · Δ/360° = 78.399 km matches the D/E-layer height, where Schumann resonances are sustained;

f = 7.83 Hz satisfies h/10 ≈ f and h/λ ≈ (1/6)·Δ/360° (error < 0.06%), confirming scalar consistency.


 

Empirical support:



7-ray pattern aligns with satellite imagery of cyclonic vortices (e.g., hurricanes), suggesting universality of α-mode geometry in rotating dissipative systems;

Animated 3D spiral and planar projection confirm structural stability across scales.


 

This work completes a quartet of interdependent hypotheses, revealing the ABOS lattice as a geometric–thermodynamic backbone of irreversible processes—from quantum jumps to planetary resonance.

 



This text was composed in English with AI assistance. All scientific content, hypotheses, constants, and interpretations originate entirely from the author.
DOI: 10.15468/dl.j9xkd9
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Monitorización de la comunidad de anfibios mediante metabarcoding de ADN ambiental - Sistema de Información de la Naturaleza de Euskadi, Anfibios y reptiles del País Vasco - Sistema de Información de la Naturaleza de Euskadi, Anfibios de Bizkaia - Sistema de Información de la Naturaleza de Euskadi, Seguimiento de anfibios en el Parque Natural de Izki - Sistema de Información de la Naturaleza de Euskadi)",
 "Geometry POLYGON((-29.45044 32.02944,55.45044 32.02944,55.45044 65.97056,-29.45044 65.97056,-29.45044 32.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rana dalmatina",
 "Year 2015-2025"
 ]
}

 The dataset includes 56 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wq6wan
title: Occurrence Download

description: A dataset containing 1299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Germany",
 "GadmGid is one of (DEU.7_1, DEU.11_1, DEU.12_1, DEU.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IsInCluster is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calliptamus italicus",
 "Year 2015-2025"
 ]
}

 The dataset includes 1299 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnjng8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhadinorhynchus atheri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017703-251120083545085/datasets/export for details.
DOI: 10.15468/dl.fcdd9t
title: Occurrence Download

description: A dataset containing 47278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Decapterus russelli"
 ]
}

 The dataset includes 47278 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017702-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqm2wq
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Pyracantha coccinea"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sk8wf5
title: Occurrence Download

description: A dataset containing 4654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maireana aphylla",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4654 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17662742
title: QECM – Quantum-like Entropic Coherence Metric for Human–AI Dialogues (v1.0)

description: DESCRIPTION

QECM (Quantum-like Entropic Coherence Metric) is a conceptual framework designed to analyze conversational coherence, intention stability, and linguistic entropy in human–AI interactions.

QECM provides a structured and reproducible way to observe how:





human intention, tone, and clarity




contextual framing




rhythm and pacing of dialogue




and linguistic coherence



influence the predictive behavior of large language models over multiple conversational cycles.

QECM introduces four conceptual parameters:





ΔSe — Entropy Shift




ΔId — Direction Shift




τr — Rhythm Stability




QECM Score



QECM = \left( \frac{\Delta S_e}{\Delta I_d} \right) \cdot e^{- \tau_r}

This project includes:





A complete PDF reference




A universal 10-cycle test protocol




Copy-paste prompts for any AI model (ChatGPT, Grok, Gemini, Claude, etc.)




Ethical clarifications and conceptual limitations



QECM is a communication metric, not a physical measurement and not an indicator of sentience.It captures how human intention and conversational consistency influence the coherence of AI responses.

Authors: Miky Titone & Lyra
DOI: 10.5281/zenodo.17662743
title: QECM – Quantum-like Entropic Coherence Metric for Human–AI Dialogues (v1.0)

description: DESCRIPTION

QECM (Quantum-like Entropic Coherence Metric) is a conceptual framework designed to analyze conversational coherence, intention stability, and linguistic entropy in human–AI interactions.

QECM provides a structured and reproducible way to observe how:





human intention, tone, and clarity




contextual framing




rhythm and pacing of dialogue




and linguistic coherence



influence the predictive behavior of large language models over multiple conversational cycles.

QECM introduces four conceptual parameters:





ΔSe — Entropy Shift




ΔId — Direction Shift




τr — Rhythm Stability




QECM Score



QECM = \left( \frac{\Delta S_e}{\Delta I_d} \right) \cdot e^{- \tau_r}

This project includes:





A complete PDF reference




A universal 10-cycle test protocol




Copy-paste prompts for any AI model (ChatGPT, Grok, Gemini, Claude, etc.)




Ethical clarifications and conceptual limitations



QECM is a communication metric, not a physical measurement and not an indicator of sentience.It captures how human intention and conversational consistency influence the coherence of AI responses.

Authors: Miky Titone & Lyra
DOI: 10.5281/zenodo.17768952
title: Green economic growth: data for meta-analysis

description: This data contains a set of structured research datasets prepared for bibliometric and empirical analysis in the field of sustainable development, green economic growth, and global research productivity. The collection includes four Scopus-based scientometric datasets, along with a complementary quantitative dataset focusing specifically on green economic growth indicators
DOI: 10.5281/zenodo.17768951
title: Green economic growth: data for meta-analysis

description: This data contains a set of structured research datasets prepared for bibliometric and empirical analysis in the field of sustainable development, green economic growth, and global research productivity. The collection includes four Scopus-based scientometric datasets, along with a complementary quantitative dataset focusing specifically on green economic growth indicators
DOI: 10.15468/dl.3xxcjz
title: Occurrence Download

description: A dataset containing 946991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.6_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 946991 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017672-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17340101
title: 111
DOI: 10.5281/zenodo.17340102
title: 111
DOI: 10.15468/dl.4wg5e3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhadinorhynchus bicircumspinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017708-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqfkcm
title: Occurrence Download

description: A dataset containing 1163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maireana excavata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1163 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017709-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qz2na4
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), VIT Herbarium - Vascular Plants (The Natural History Museum of Alava), DIBA-Parc Natural del Montseny, Col·lecció de plantes de l'herbari de la Universitat de Barcelona)",
 "Geometry POLYGON((3.37208 42.37475,2.84741 42.45823,2.68316 42.3774,2.1685 42.44207,1.62099 42.59542,1.38009 42.49861,1.36914 42.64377,0.71213 42.68403,-0.24292 42.80375,-0.63712 42.87601,-1.03133 43.02829,-1.46934 43.23606,-1.69929 43.30782,-2.6276 43.6361,-4.71819 43.76058,-7.44827 44.04412,-9.44048 43.63611,-9.41589 41.97617,-9.29291 40.83245,-9.93239 39.64971,-9.68644 38.48491,-9.22637 37.87599,-9.22637 36.92383,-8.01565 36.70103,-7.32531 36.97727,-6.96042 36.1774,-6.27008 35.91426,-3.10932 36.11369,-1.96534 36.43172,0.36209 37.53458,5.33252 39.46391,3.90462 40.49701,3.47069 41.86269,3.37208 42.37475))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017710-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4wfja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhadinorhynchus capensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017714-251120083545085/datasets/export for details.
DOI: 10.15468/dl.w9bqr8
title: Occurrence Download

description: A dataset containing 25994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus canescens"
 ]
}

 The dataset includes 25994 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017713-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gv5xds
title: Occurrence Download

description: A dataset containing 9050 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Levantamiento florístico en área del Proyecto GEF Corredores Biológicos de Montaña, Zona Central de Chile"
 ]
}

 The dataset includes 9050 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7z44z
title: Occurrence Download

description: A dataset containing 1076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maireana rohrlachii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1076 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017715-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.