cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30000202.v3
title: Multi-proxy evidence for environmental perturbations during the Paleocene-Eocene Thermal Maximum record on the southern Tethyan shelf

description: Past episodes of extreme global warming, such as the Paleocene-Eocene Thermal Maximum (about 56 million years ago), were caused by the release of large amounts of carbon into the ocean-atmosphere systems; however, its environmental impacts varied greatly. To understand how shallow coastal seas responded, we studied shallow marine record from the southern Tethyan shelf in Egypt. By analyzing multiple geochemical indicators, such as organic carbon isotope reecord, total organic carbon (TOC) content, and elemental compositions, we reconstructed sequential environmental changes. We found that the onset of the PETM brought intense rainfall, accelerating silicate weathering. This washed large amounts of clays from the land into the Tethys Ocean. Subsequently, during the PETM main body, sustained suboxic to anoxic conditions, drove phosphorus recycling, fueled high productivity, and enhanced organic carbon burial. This process acted as a natural brake on global warming by pulling carbon out of the atmosphere and ocean. This study therefore highlights that subtropical shallow coastal seas can play a powerful role in capturing carbon during extreme warming events, a process that may be important to consider in the context of future climate change.
DOI: 10.6084/m9.figshare.30000202.v4
title: Multi-proxy evidence for environmental perturbations during the Paleocene-Eocene Thermal Maximum record on the southern Tethyan shelf

description: Past episodes of extreme global warming, such as the Paleocene-Eocene Thermal Maximum (about 56 million years ago), were caused by the release of large amounts of carbon into the ocean-atmosphere systems; however, its environmental impacts varied greatly. To understand how shallow coastal seas responded, we studied shallow marine record from the southern Tethyan shelf in Egypt. By analyzing multiple geochemical indicators, such as organic carbon isotope reecord, total organic carbon (TOC) content, and elemental compositions, we reconstructed sequential environmental changes. We found that the onset of the PETM brought intense rainfall, accelerating silicate weathering. This washed large amounts of clays from the land into the Tethys Ocean. Subsequently, during the PETM main body, sustained suboxic to anoxic conditions, drove phosphorus recycling, fueled high productivity, and enhanced organic carbon burial. This process acted as a natural brake on global warming by pulling carbon out of the atmosphere and ocean. This study therefore highlights that subtropical shallow coastal seas can play a powerful role in capturing carbon during extreme warming events, a process that may be important to consider in the context of future climate change.
DOI: 10.6084/m9.figshare.31101595
title: <b>Ordinary Supporters in Contemporary Armenian Football</b>

description: Research on football supporters has largely focused on ultras, hooligans, and highly visible supporter cultures, leaving the everyday, non-organised “ordinary” supporter comparatively under-examined. This study provides an exploratory empirical account of ordinary supporters of three Yerevan clubs—FC. Pyunik, FC. Noah, and FC. Ararat- Armenia—based on a cross-sectional online survey (N = 26) distributed via social media. Using descriptive statistics and inductive thematic analysis, it examines how supporters articulate loyalty, identity, motivations, and digital engagement, and applies Giulianotti’s [i] typology to the Armenian context. The findings reveal distinct club-specific profiles: FC. Pyunik supporters emphasise history and tradition; FC. Noah supporters prioritise performance, star players, and branding; while FC. Ararat-Armenia supporters express stronger personal identification with the club. Qualitative responses indicate that tradition, ambition, communication practices, and community frequently coexist within individual narratives, producing hybrid forms of attachment that cut across classical supporter categories.<br>[i]. Richard Giulianotti, ‘Supporters, Followers, Fans, and Flaneurs’.
DOI: 10.6084/m9.figshare.31101595.v1
title: <b>Ordinary Supporters in Contemporary Armenian Football</b>

description: Research on football supporters has largely focused on ultras, hooligans, and highly visible supporter cultures, leaving the everyday, non-organised “ordinary” supporter comparatively under-examined. This study provides an exploratory empirical account of ordinary supporters of three Yerevan clubs—FC. Pyunik, FC. Noah, and FC. Ararat- Armenia—based on a cross-sectional online survey (N = 26) distributed via social media. Using descriptive statistics and inductive thematic analysis, it examines how supporters articulate loyalty, identity, motivations, and digital engagement, and applies Giulianotti’s [i] typology to the Armenian context. The findings reveal distinct club-specific profiles: FC. Pyunik supporters emphasise history and tradition; FC. Noah supporters prioritise performance, star players, and branding; while FC. Ararat-Armenia supporters express stronger personal identification with the club. Qualitative responses indicate that tradition, ambition, communication practices, and community frequently coexist within individual narratives, producing hybrid forms of attachment that cut across classical supporter categories.<br>[i]. Richard Giulianotti, ‘Supporters, Followers, Fans, and Flaneurs’.
DOI: 10.5281/zenodo.18320736
title: Spermacoce eryngioides (Cham. & Schltdl.) Kuntze. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320737
title: Spermacoce eryngioides (Cham. & Schltdl.) Kuntze. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.cqsjvu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.361 0.439185, 102.290735 0.433617, 102.2222 0.417053, 102.157084 0.389899, 102.096989 0.352824, 102.043395 0.306741, 101.997622 0.252786, 101.960796 0.192286, 101.933825 0.126732, 101.917372 0.057737, 101.911842 -0.013, 101.917372 -0.083736, 101.933825 -0.152731, 101.960796 -0.218286, 101.997621 -0.278785, 102.043394 -0.332741, 102.096988 -0.378824, 102.157083 -0.415899, 102.2222 -0.443053, 102.290735 -0.459617, 102.361 -0.465185, 102.431265 -0.459617, 102.4998 -0.443053, 102.564917 -0.415899, 102.625012 -0.378824, 102.678606 -0.332741, 102.724379 -0.278785, 102.761204 -0.218286, 102.788175 -0.152731, 102.804628 -0.083736, 102.810158 -0.013, 102.804628 0.057737, 102.788175 0.126732, 102.761204 0.192286, 102.724378 0.252786, 102.678605 0.306741, 102.625011 0.352824, 102.564916 0.389899, 102.4998 0.417053, 102.431265 0.433617, 102.361 0.439185))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001284-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18320741
title: Sorghastrum pellitum (Hack.) Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320742
title: Sorghastrum pellitum (Hack.) Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.zp8hwm
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.01 4.094164, 102.939559 4.088594, 102.870855 4.072022, 102.805583 4.044857, 102.745351 4.007768, 102.691644 3.961671, 102.645784 3.9077, 102.608901 3.847188, 102.5819 3.781624, 102.565446 3.712624, 102.55994 3.641887, 102.565515 3.571156, 102.582032 3.502172, 102.609082 3.436632, 102.645998 3.37615, 102.691868 3.322214, 102.745564 3.276151, 102.805764 3.239093, 102.870987 3.211952, 102.939628 3.195396, 103.01 3.189831, 103.080372 3.195396, 103.149013 3.211952, 103.214236 3.239093, 103.274436 3.276151, 103.328132 3.322214, 103.374002 3.37615, 103.410918 3.436632, 103.437968 3.502172, 103.454485 3.571156, 103.46006 3.641887, 103.454554 3.712624, 103.4381 3.781624, 103.411099 3.847188, 103.374216 3.9077, 103.328356 3.961671, 103.274649 4.007768, 103.214417 4.044857, 103.149145 4.072022, 103.080441 4.088594, 103.01 4.094164))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001285-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18320744
title: Tillandsia dianthoidea G.Rossi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320743
title: Tillandsia dianthoidea G.Rossi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.6084/m9.figshare.31101556
title: Genotype and phenotype data of three pig breeds (Duroc, Landrace, and Yoreshire)

description: This dataset contains genome-wide genotype and phenotype data from three commercial pig breeds: Duroc, Landrace, and Large White. The data were collected to investigate the genetic architecture of economically important growth and carcass traits using genome-wide association studies (GWAS) and related genomic analyses.Genotype data were generated using high-density SNP arrays and underwent standard quality control procedures, including filtering by call rate, minor allele frequency, and Hardy–Weinberg equilibrium. Phenotype data include growth- and carcass-related traits such as average daily gain, backfat thickness, eye muscle area, and age at target body weight.This dataset is intended to support reproducible research in animal breeding and genetics, and can be used for GWAS, multi-trait analysis, meta-analysis, and integrative analyses such as TWAS and colocalization. All files are organized by breed and data type, and detailed information on file formats and contents is provided in the accompanying README file.
DOI: 10.6084/m9.figshare.31101556.v1
title: Genotype and phenotype data of three pig breeds (Duroc, Landrace, and Yoreshire)

description: This dataset contains genome-wide genotype and phenotype data from three commercial pig breeds: Duroc, Landrace, and Large White. The data were collected to investigate the genetic architecture of economically important growth and carcass traits using genome-wide association studies (GWAS) and related genomic analyses.Genotype data were generated using high-density SNP arrays and underwent standard quality control procedures, including filtering by call rate, minor allele frequency, and Hardy–Weinberg equilibrium. Phenotype data include growth- and carcass-related traits such as average daily gain, backfat thickness, eye muscle area, and age at target body weight.This dataset is intended to support reproducible research in animal breeding and genetics, and can be used for GWAS, multi-trait analysis, meta-analysis, and integrative analyses such as TWAS and colocalization. All files are organized by breed and data type, and detailed information on file formats and contents is provided in the accompanying README file.
DOI: 10.5281/zenodo.18320745
title: Tecomaria capensis (Thunb.) Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320746
title: Tecomaria capensis (Thunb.) Spach. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18315030
title: Dataset for South Asian Monsoon Onset Abruptness in SP-CAM

description: Compared to the previous version, this release includes updated Python scripts corresponding to the revised figures in the manuscript.This dataset contains the processed data and Python scripts used to produce the figures in the revised manuscript “Linking the Abruptness of South Asian Summer Monsoon Onset to Convection Aggregation Using SP-CAM.” All NetCDF data files are located in the FIG_DATA, and the Python plotting scripts are named according to their corresponding figures. The raw SP-CAM simulation outputs are available upon request due to the large size of the dataset.
DOI: 10.5281/zenodo.17328873
title: Dataset for South Asian Monsoon Onset Abruptness in SP-CAM

description: Compared to the previous version, this release includes updated Python scripts corresponding to the revised figures in the manuscript.This dataset contains the processed data and Python scripts used to produce the figures in the revised manuscript “Linking the Abruptness of South Asian Summer Monsoon Onset to Convection Aggregation Using SP-CAM.” All NetCDF data files are located in the FIG_DATA, and the Python plotting scripts are named according to their corresponding figures. The raw SP-CAM simulation outputs are available upon request due to the large size of the dataset.
DOI: 10.15468/dl.ag7knm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.196 0.450185, 102.125735 0.444617, 102.0572 0.428053, 101.992083 0.400899, 101.931988 0.363824, 101.878394 0.317741, 101.832621 0.263786, 101.795796 0.203286, 101.768825 0.137732, 101.752372 0.06873700000000001, 101.746842 -0.002, 101.752372 -0.072737, 101.768825 -0.141731, 101.795796 -0.207286, 101.832621 -0.267786, 101.878394 -0.321741, 101.931988 -0.367824, 101.992083 -0.404899, 102.0572 -0.432053, 102.125735 -0.448617, 102.196 -0.454185, 102.266265 -0.448617, 102.3348 -0.432053, 102.399917 -0.404899, 102.460012 -0.367824, 102.513606 -0.321741, 102.559379 -0.267786, 102.596204 -0.207286, 102.623175 -0.141731, 102.639628 -0.072737, 102.645158 -0.002, 102.639628 0.06873700000000001, 102.623175 0.137732, 102.596204 0.203286, 102.559379 0.263786, 102.513606 0.317741, 102.460012 0.363824, 102.399917 0.400899, 102.3348 0.428053, 102.266265 0.444617, 102.196 0.450185))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001287-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18320747
title: Zingiberales Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18320748
title: Zingiberales Griseb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.17411284
title: KFQUbit – Phase 3 (v2.0): Observational Thresholds and Environmental Regime Transitions Identified by the KFQU Operato

description: This deposit presents Phase 3 (Version 2.0) of the KFQUbit framework, focusing on the observational implementation of the KFQU operator using real astrophysical data. This phase compares two observational regimes based on different temporal depths of gamma-ray catalogs, corresponding to approximately 8 years and 14 years of Fermi-LAT observations.

The analysis applies the KFQU operator to a fixed sample of disk galaxies from the SPARC database and evaluates angular coincidences with sources from the Fermi 4FGL-DR4 catalog. The execution is carried out through the scripts unif_fermi_v2.py and random_control_fermi.py, allowing direct comparison between Phase 3 Version 1 and Version 2.0.

The results are not interpreted as detections or causal relations, but as the identification of persistent observational thresholds that remain stable across different integration times and under Monte Carlo random controls. Only a small and consistent subset of galaxies crosses these thresholds as catalog depth increases, indicating a reproducible and non-trivial observational regime.

Within the KFQUbit framework, these findings are interpreted as environment-induced transitions between effective energetic regimes of the Fundamental Field, rather than as predictions of a new dynamical theory. Phase 3 does not claim to replace or compete with established physical models, but serves as a controlled observational exploration aligned with the ontological structure defined in the foundational KFQUbit documents.

Phase 3 Version 2.0 thus establishes a methodological and observational bridge between the conceptual framework of KFQUbit and future extensions involving deeper catalogs, improved instrumentation, or refined operators.
DOI: 10.5281/zenodo.18320418
title: KFQUbit – Phase 3 (v2.0): Observational Thresholds and Environmental Regime Transitions Identified by the KFQU Operato

description: This deposit presents Phase 3 (Version 2.0) of the KFQUbit framework, focusing on the observational implementation of the KFQU operator using real astrophysical data. This phase compares two observational regimes based on different temporal depths of gamma-ray catalogs, corresponding to approximately 8 years and 14 years of Fermi-LAT observations.

The analysis applies the KFQU operator to a fixed sample of disk galaxies from the SPARC database and evaluates angular coincidences with sources from the Fermi 4FGL-DR4 catalog. The execution is carried out through the scripts unif_fermi_v2.py and random_control_fermi.py, allowing direct comparison between Phase 3 Version 1 and Version 2.0.

The results are not interpreted as detections or causal relations, but as the identification of persistent observational thresholds that remain stable across different integration times and under Monte Carlo random controls. Only a small and consistent subset of galaxies crosses these thresholds as catalog depth increases, indicating a reproducible and non-trivial observational regime.

Within the KFQUbit framework, these findings are interpreted as environment-induced transitions between effective energetic regimes of the Fundamental Field, rather than as predictions of a new dynamical theory. Phase 3 does not claim to replace or compete with established physical models, but serves as a controlled observational exploration aligned with the ontological structure defined in the foundational KFQUbit documents.

Phase 3 Version 2.0 thus establishes a methodological and observational bridge between the conceptual framework of KFQUbit and future extensions involving deeper catalogs, improved instrumentation, or refined operators.
DOI: 10.15468/dl.jp6fw7
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scytalopus robbinsi"
 ]
}

 The dataset includes 528 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001289-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ygjku
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.972 4.098164, 101.901559 4.092594, 101.832854 4.076022, 101.767582 4.048857, 101.707349 4.011768, 101.653642 3.965671, 101.607782 3.9117, 101.570899 3.851187, 101.543898 3.785623, 101.527444 3.716623, 101.521938 3.645887, 101.527513 3.575156, 101.54403 3.506172, 101.571081 3.440632, 101.607996 3.38015, 101.653867 3.326214, 101.707563 3.280151, 101.767763 3.243093, 101.832986 3.215952, 101.901628 3.199396, 101.972 3.193831, 102.042372 3.199396, 102.111014 3.215952, 102.176237 3.243093, 102.236437 3.280151, 102.290133 3.326214, 102.336004 3.38015, 102.372919 3.440632, 102.39997 3.506172, 102.416487 3.575156, 102.422062 3.645887, 102.416556 3.716623, 102.400102 3.785623, 102.373101 3.851187, 102.336218 3.9117, 102.290358 3.965671, 102.236651 4.011768, 102.176418 4.048857, 102.111146 4.076022, 102.042441 4.092594, 101.972 4.098164))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 622 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001288-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.