cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15631598
title: Seasonal Tea Bag Index data on decomposition (2014-2015) from natural and agricultural sites at Mt. Kilimanjaro

description: Decomposition is one of the most important processes in ecosystem carbon (C) and nutrient cycles, and is a major factor controlling ecosystem functions. The functioning of Afromontane ecosystems and their ability to provide ecosystem services are particularly threatened by climate and land‐use change. Our objectives were to assess the effects of climatic conditions (elevation and seasonality) and land‐use intensity on litter decomposition and C stabilization in ten ecosystems along the unique 3000 m elevation gradient of Mt. Kilimanjaro. Tea‐Bag Index parameters (decomposition‐rate‐constant k and stabilization‐factor S) were used to quantify decomposition of standardized litter substrate. Nine pairs of tea bags (green and rooibos tea) were exposed in each ecosystem during the short‐wet, warm‐dry, long‐wet and cold‐dry season. Decomposition rate increased from k=0.007 in savanna (950 m elevation), up to a maximum of k=0.022 in montane cloud forest (2100 m). This was followed by a 50% decrease in (sub‐)alpine ecosystems (>4000 m). Savanna experienced the strongest seasonal variation, with 23 times higher S‐values in dry season compared to wet season. The conversion of savanna to maize monocultures (~1000 m), and traditional agroforestry to large‐scale coffee plantations (~1300 m) increased mean k‐values, and stabilization factors were about one third lower. Forests between 1900 and 2100 m represent the zone of sufficient moisture and optimal temperature conditions. Seasonal moisture (lower slope) and temperature limitation (alpine zone) decreases litter decomposition. Mt. Kilimanjaro ecosystems are highly sensitive to land‐use change, which accelerates ecosystem cycles and decreases C stabilization.
DOI: 10.5281/zenodo.15631599
title: Seasonal Tea Bag Index data on decomposition (2014-2015) from natural and agricultural sites at Mt. Kilimanjaro

description: Decomposition is one of the most important processes in ecosystem carbon (C) and nutrient cycles, and is a major factor controlling ecosystem functions. The functioning of Afromontane ecosystems and their ability to provide ecosystem services are particularly threatened by climate and land‐use change. Our objectives were to assess the effects of climatic conditions (elevation and seasonality) and land‐use intensity on litter decomposition and C stabilization in ten ecosystems along the unique 3000 m elevation gradient of Mt. Kilimanjaro. Tea‐Bag Index parameters (decomposition‐rate‐constant k and stabilization‐factor S) were used to quantify decomposition of standardized litter substrate. Nine pairs of tea bags (green and rooibos tea) were exposed in each ecosystem during the short‐wet, warm‐dry, long‐wet and cold‐dry season. Decomposition rate increased from k=0.007 in savanna (950 m elevation), up to a maximum of k=0.022 in montane cloud forest (2100 m). This was followed by a 50% decrease in (sub‐)alpine ecosystems (>4000 m). Savanna experienced the strongest seasonal variation, with 23 times higher S‐values in dry season compared to wet season. The conversion of savanna to maize monocultures (~1000 m), and traditional agroforestry to large‐scale coffee plantations (~1300 m) increased mean k‐values, and stabilization factors were about one third lower. Forests between 1900 and 2100 m represent the zone of sufficient moisture and optimal temperature conditions. Seasonal moisture (lower slope) and temperature limitation (alpine zone) decreases litter decomposition. Mt. Kilimanjaro ecosystems are highly sensitive to land‐use change, which accelerates ecosystem cycles and decreases C stabilization.
DOI: 10.6084/m9.figshare.29289938
title: On the Discovery of New Laws of Conservation and Uncertainty, Probability and CPT-Theorem Symmetry-Breaking in the Standard Model of Particle Physics: More Revolutionary Insights from the Theory of Entropicity (ToE).

description: AbstractWe reformulate quantum field theory within the framework of the Theory of Entropicity (ToE), where entropy operates as a fundamental dynamical field that governs probability flow, irreversibility, and symmetry breaking. By introducing an entropy-dependent field operator into the quantum evolution, we derive a new probability law that unifies wavefunction collapse and black hole information loss as irreversible transfers of amplitude into an unobservable entropy sector.<br>This entropy-based formulation explicitly breaks time-reversal symmetry, requiring a revised CPT law to restore invariance. In this view, matter and antimatter obey distinct entropy dynamics: entropy suppresses CP violation in electromagnetism and the strong interaction, while enhancing it in the weak force. We derive entropy-corrected CP-violating phases and show how decay rates are modified in high-entropy environments, with implications for particle physics and cosmology.<br>Extending standard quantum speed limits, we introduce an entropic speed bound and a thermodynamic uncertainty principle, treating energy and entropy fluctuations as co-equal resources. This leads to a new entropic time limit that defines a minimal duration for any interaction or measurement. These results constrain the performance limits of quantum gates, error correction, and measurement resolution, offering practical metrics for resilient quantum architectures.<br>Recent developments such as Google’s Willow quantum processor and Microsoft’s Majorana qubits naturally align with ToE’s predictions. We also analyze and extend the Total Entropic Quantity (TEQ) framework proposed by David Sigtermans and introduce an Entropic Noether Principle, linking traditional conservation laws to entropy-constrained symmetries. Experimental tests are proposed to distinguish ToE predictions from the Standard Model.<br>
DOI: 10.34780/y4stue1v
title: Fluvio-social metabolism in the Echaz Valley

description: Abstract: The study of the imperial town of Reutlingen explores the interactions between urban development, resource use, and riverine landscapes through the lens of the concept of fluvio-social metabolism. At its core is the tanning trade, whose key resource – oak bark – was integrated into the urban system via complex material and social flows. The study analyzes conflicts over forest resource use, particularly in the context of territorial disputes with Württemberg between the 14th and 16th centuries. It shows how the tannery district significantly shaped the topographical development of the urban floodplain. Fluvio-social metabolism serves as an interdisciplinary bridging concept for analyzing material cycles and institutional frameworks, embedded within a regional environmental history. The case study of Reutlingen forms part of the DFG-funded project “Local Pathways to the Fluvial Anthroposphere” and offers a nuanced view of locally embedded interventions in fluvial spaces. The study combines historical and archaeological approaches to investigate the long-term transformation of river landscapes at the intersection of society and nature.
Keywords: Fluvio-social metabolism; Urban floodplain transformation; Resource conflicts; Tanning craft; Historical environmental change
DOI: 10.6084/m9.figshare.29289938.v1
title: On the Discovery of New Laws of Conservation and Uncertainty, Probability and CPT-Theorem Symmetry-Breaking in the Standard Model of Particle Physics: More Revolutionary Insights from the Theory of Entropicity (ToE).

description: AbstractWe reformulate quantum field theory within the framework of the Theory of Entropicity (ToE), where entropy operates as a fundamental dynamical field that governs probability flow, irreversibility, and symmetry breaking. By introducing an entropy-dependent field operator into the quantum evolution, we derive a new probability law that unifies wavefunction collapse and black hole information loss as irreversible transfers of amplitude into an unobservable entropy sector.<br>This entropy-based formulation explicitly breaks time-reversal symmetry, requiring a revised CPT law to restore invariance. In this view, matter and antimatter obey distinct entropy dynamics: entropy suppresses CP violation in electromagnetism and the strong interaction, while enhancing it in the weak force. We derive entropy-corrected CP-violating phases and show how decay rates are modified in high-entropy environments, with implications for particle physics and cosmology.<br>Extending standard quantum speed limits, we introduce an entropic speed bound and a thermodynamic uncertainty principle, treating energy and entropy fluctuations as co-equal resources. This leads to a new entropic time limit that defines a minimal duration for any interaction or measurement. These results constrain the performance limits of quantum gates, error correction, and measurement resolution, offering practical metrics for resilient quantum architectures.<br>Recent developments such as Google’s Willow quantum processor and Microsoft’s Majorana qubits naturally align with ToE’s predictions. We also analyze and extend the Total Entropic Quantity (TEQ) framework proposed by David Sigtermans and introduce an Entropic Noether Principle, linking traditional conservation laws to entropy-constrained symmetries. Experimental tests are proposed to distinguish ToE predictions from the Standard Model.<br>
DOI: 10.25817/c2xc-px79
title: The impact of a promised financial incentive on response to a postal survey sent to Australian general practitioners: Dataset
DOI: 10.5281/zenodo.15637716
title: Phylogeny Data from Albano et al_Zu cristatus mitochondrial genome analyses
DOI: 10.5281/zenodo.15637717
title: Phylogeny Data from Albano et al_Zu cristatus mitochondrial genome analyses
DOI: 10.15468/dl.wm8gj7
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035500-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b98392
title: Occurrence Download

description: A dataset containing 2157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((68.98645 -43.21422,222.75966 -43.21422,222.75966 64.26601,68.98645 64.26601,68.98645 -43.21422))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum fusiforme (Harvey) Setchell, 1931"
 ]
}

 The dataset includes 2157 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035501-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkrn29
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum glaucescens J.Agardh, 1848"
 ]
}

 The dataset includes 62 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035503-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea5mfn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035504-250525065834625/datasets/export for details.
DOI: 10.21227/xha6-tw58
title: "Dataset for Clustering Ensemble"

description: "This dataset collection, designed for clustering ensemble research and evaluation, aggregates nine publicly available datasets from diverse domains, including biomedicine, education, marketing, and text mining. The datasets vary significantly in size, dimensionality, class balance, and attribute types (categorical, numerical, mixed), providing a comprehensive benchmark for testing the robustness and generalizability of clustering ensemble algorithms. Below is a brief description of the included datasets:Ionosphere (UCI): Radar data for ionospheric structure classification with 351 instances and 34 features.Teaching Assistant Evaluation (TAE) (UCI): Contains 151 instances evaluating teaching assistants with both categorical and numerical features.Heart Failure Clinical Records (Kaggle): Medical dataset of 299 patients used to predict mortality events based on 13 clinical features.Breast Cancer Wisconsin (Diagnostic) (UCI): A well-known dataset with 569 instances and 30 real-valued features for binary classification.Reuters-21578 (Kaggle): A large-scale text corpus widely used in topic modeling and document clustering tasks.Bank Marketing (UCI): Marketing data from a Portuguese bank with 4,521 instances and a mix of categorical and numerical attributes.Yeast (UCI): A biological dataset with 1,484 instances for predicting protein localization sites.Liver Disorders (UCI): Contains 345 instances related to liver enzyme measurements and alcohol consumption.Haberman\u2019s Survival (UCI): A small clinical dataset (306 instances) concerning post-surgery survival of breast cancer patients."
DOI: 10.15468/dl.frwh6g
title: Occurrence Download

description: A dataset containing 27212 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'EG'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 27212 records were derived from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035493-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahv3gg
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((40.81014 -23.52145,158.18986 -23.52145,158.18986 58.52145,40.81014 58.52145,40.81014 -23.52145))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum hemiphyllum (Turner) C.Agardh"
 ]
}

 The dataset includes 1014 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035505-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tqh5s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035506-250525065834625/datasets/export for details.
DOI: 10.15468/dl.e8tnxh
title: Occurrence Download

description: A dataset containing 1709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Clematis chinensis Osbeck"
 ]
}

 The dataset includes 1709 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035507-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m4cu9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.56486 18.35162,119.43514 18.35162,119.43514 26.64838,107.56486 26.64838,107.56486 18.35162))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum hemiphyllum subsp. chinense J.Agardh, 1889"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ney9t9
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035509-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btars3
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum henslowianum C.Agardh, 1848"
 ]
}

 The dataset includes 284 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035510-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15637777
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250611g Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250611g Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15637778
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250611g Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250611g Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.duywpd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus adspersus Tschudi, 1838",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035511-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.649k8d
title: Occurrence Download

description: A dataset containing 2799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum horneri (Turner) C.Agardh, 1820"
 ]
}

 The dataset includes 2799 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035513-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2dsz5
title: Occurrence Download

description: A dataset containing 10008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gekko gecko (Linnaeus, 1758)"
 ]
}

 The dataset includes 10008 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035512-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.