cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30636767.v1
title: <b>Mapeamento da Presença Digital de Periódicos de Acesso Aberto em Ciência da Informação: Uma Análise das Redes Sociais</b>

description: Este conjunto de dados refere-se à coleta de dados realizada para o Trabalho de Conclusão de Curso (TCC) intitulado "Mapeamento da Presença Digital de Periódicos de Acesso Aberto em Ciência da Informação: Uma Análise das Redes Sociais". O objetivo da pesquisa foi mapear a presença institucional de periódicos científicos da área de Ciência da Informação (CI), que adotam o modelo de Acesso Aberto, nas cinco principais redes sociais digitais (Facebook, Instagram, X, LinkedIn e YouTube).Metodologia de Coleta<br><b>Seleção da Amostra:</b> O universo da pesquisa foi extraído do <b>Directory of Open Access Journals (DOAJ)</b> em 2025, utilizando o filtro de busca "Information Science".<b>Coleta (Periódicos):</b> Foram identificados <b>137 periódicos</b> de Acesso Aberto da área de Ciência da Informação.<b>Coleta (Redes Sociais):</b> Foi realizada uma verificação (via plataforma Altmetrics.com e busca direta) para identificar quais dos 137 periódicos possuíam perfis oficiais ativos nas cinco redes sociais analisadas.Conteúdo dos DadosOs arquivos anexos contêm o conjunto de dados brutos e tratados utilizados para gerar os resultados da pesquisa, incluindo:A lista mestra dos <b>137 periódicos</b> de CI em Acesso Aberto identificados no DOAJ.A distribuição geográfica (país de origem) de cada um dos 137 periódicos.O mapeamento detalhado indicando quais dos <b>52 periódicos</b> identificados possuem presença digital.A lista de periódicos que <b>não possuem</b> presença ativa nas redes analisadas.Tabelas de frequência que quantificam a adesão total por plataforma (ex: total de periódicos no Facebook, total no Instagram, etc.).
DOI: 10.57903/uj/kbscnr
title: RIPK4 downregulation impairs Wnt3A-stimulated invasiveness via Wnt/-catenin signaling in melanoma cells and tumor growth in vivo - research data

description: The dataset contains images of tumor staining obtained from melanoma cells with modified RIPK4 levels in NOD/SCOD mice, western blot membrane images and figures used to create the figures in the publication.
DOI: 10.5281/zenodo.17628442
title: Dataset for "Anomalous Melting Behavior of Solid Hydrogen from a Machine-Learned Potential Trained with Diffusion Quantum Monte Carlo"

description: This dataset contains the raw numerical data underlying all figures in the article “Anomalous Melting Behavior of Solid Hydrogen from a Machine-Learned Potential Trained with Diffusion Quantum Monte Carlo”.
DOI: 10.15468/dl.fb644b
title: Occurrence Download

description: A dataset containing 1485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena thoracica",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1485 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038922-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17629914
title: FUNt — Golden Python Play Model (φ⁷ Edition)

description: * note - Python Version Updated 11/17/25

ABSTRACT

The FUNt Golden Python Play Model  5.0 (φ⁷ Edition) demonstrates that a wide family of mathematical constants, when examined through the lens of geometric resonance, many of these constants reveal a unified behavior. "Everything is Same, Same'.

— including φ, φ⁷, silver, supersilver, metallic means, plastic, supergolden, 

and custom bosonic inputs 

— all collapse into the same universal geometric behavior when expressed through the Golden-Resonance Spiral.

This behavior is shown through a reproducible Python tool (v5.0) optimized for tablets and low-compute (mobile) devices, revealing a structural equivalence across constants traditionally treated as distinct.

The purpose of this paper is to:

Document the discovery.

Present  the underlying algebra.

Provide  a public reference version suitable for;

 Zenodo DOI archiving.

 

1. INTRODUCTION

Most mathematical constants appear isolated 

— each with its own history, origin, and symbolic niche. 

Yet when examined through the lens of geometric resonance, many of these constants reveal a unified behavior.

 

The FUNt Golden Python Play Model v5.0, emerged from an engineer’s intuition, refined through computational visualization: 'Pattern Recognition'

 

'If nature uses a pattern once, it will use it again wherever alignment is possible.'
description: Final 'corrected' Model of v5.0 uploaded
DOI: 10.15468/dl.33b8cb
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Exoteliospora",
 "HasCoordinate is true"
 ]
}

 The dataset includes 59 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038923-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17629431
title: Radionuclide (²¹⁰Pb, ¹³⁷Cs, ⁴⁰K), physical (DBD), and geochemical (TC, TOC, TIC, δ¹³C) data from ten marine sediment cores collected in fjords of South Georgia, sub-Antarctica

description: This dataset provides the full supplementary data accompanying the manuscript:Szczuciński, W., & Majewski, W.: Organic carbon burial and sediment accumulation in the fjords of South Georgia, sub-Antarctica. The Holocene (in revision).

The Excel file contains raw analytical and core-metadata records for ten sediment cores collected from fjords of South Georgia (sub-Antarctica). These data form the basis for the radiometric dating, mass accumulation rate (MAR) calculations, and organic carbon burial assessments presented in the manuscript.

The workbook includes multiple sheets, each containing structured data on:

1. Core metadata.For each core, the following information is provided: geographic location (latitude, longitude), water depth at the sampling site, core length, core code/station ID, and fjord/bay name. These metadata correspond to Table 1 in the associated manuscript.

2. Radionuclide activities and uncertainties.For each depth-increment sample in each core, the following measurements are given: sample depth (cm), mid-depth (cm), laboratory sample number, total ²¹⁰Pb activity (Bq/kg) + uncertainty, supported ²¹⁰Pb (²¹⁰Pbsupp) + uncertainty, excess ²¹⁰Pb (²¹⁰Pbex) + uncertainty, and ⁴⁰K activity + uncertainty. These data were generated using high-resolution gamma spectrometry following the procedures described in the manuscript and in Szczuciński et al. (2013).

3. Physical and geochemical properties.For the same samples, the following measurements are provided:DBD – dry bulk density (g/cm³),TOC – total organic carbon (%),TC – total carbon (%),TIC – total inorganic carbon (%),δ¹³C – stable carbon isotope composition (‰ VPDB).The analytical methods follow Racka et al. (2010), Majewski et al. (2023), and the procedures described in the Methods section of the manuscript.

File format:Microsoft Excel workbook (.xlsx). Each core is provided as a separate sheet; one additional sheet contains core metadata.

Citation

When using these data, please cite this Zenodo dataset and the associated journal article (refer to the most recent version):

Dataset:Szczuciński, W., & Majewski, W. (2025). Radionuclide (²¹⁰Pb, ¹³⁷Cs, ⁴⁰K), physical (DBD), and geochemical (TC, TOC, TIC, δ¹³C) data from ten marine sediment cores collected in fjords of South Georgia, sub-Antarctica. Zenodo. https://doi.org/10.5281/zenodo.17629432

Article:Szczuciński, W., & Majewski, W. (in review). Organic carbon burial and sediment accumulation in the fjords of South Georgia, sub-Antarctica. The Holocene.
DOI: 10.5281/zenodo.17629432
title: Radionuclide (²¹⁰Pb, ¹³⁷Cs, ⁴⁰K), physical (DBD), and geochemical (TC, TOC, TIC, δ¹³C) data from ten marine sediment cores collected in fjords of South Georgia, sub-Antarctica

description: This dataset provides the full supplementary data accompanying the manuscript:Szczuciński, W., & Majewski, W.: Organic carbon burial and sediment accumulation in the fjords of South Georgia, sub-Antarctica. The Holocene (in revision).

The Excel file contains raw analytical and core-metadata records for ten sediment cores collected from fjords of South Georgia (sub-Antarctica). These data form the basis for the radiometric dating, mass accumulation rate (MAR) calculations, and organic carbon burial assessments presented in the manuscript.

The workbook includes multiple sheets, each containing structured data on:

1. Core metadata.For each core, the following information is provided: geographic location (latitude, longitude), water depth at the sampling site, core length, core code/station ID, and fjord/bay name. These metadata correspond to Table 1 in the associated manuscript.

2. Radionuclide activities and uncertainties.For each depth-increment sample in each core, the following measurements are given: sample depth (cm), mid-depth (cm), laboratory sample number, total ²¹⁰Pb activity (Bq/kg) + uncertainty, supported ²¹⁰Pb (²¹⁰Pbsupp) + uncertainty, excess ²¹⁰Pb (²¹⁰Pbex) + uncertainty, and ⁴⁰K activity + uncertainty. These data were generated using high-resolution gamma spectrometry following the procedures described in the manuscript and in Szczuciński et al. (2013).

3. Physical and geochemical properties.For the same samples, the following measurements are provided:DBD – dry bulk density (g/cm³),TOC – total organic carbon (%),TC – total carbon (%),TIC – total inorganic carbon (%),δ¹³C – stable carbon isotope composition (‰ VPDB).The analytical methods follow Racka et al. (2010), Majewski et al. (2023), and the procedures described in the Methods section of the manuscript.

File format:Microsoft Excel workbook (.xlsx). Each core is provided as a separate sheet; one additional sheet contains core metadata.

Citation

When using these data, please cite this Zenodo dataset and the associated journal article (refer to the most recent version):

Dataset:Szczuciński, W., & Majewski, W. (2025). Radionuclide (²¹⁰Pb, ¹³⁷Cs, ⁴⁰K), physical (DBD), and geochemical (TC, TOC, TIC, δ¹³C) data from ten marine sediment cores collected in fjords of South Georgia, sub-Antarctica. Zenodo. https://doi.org/10.5281/zenodo.17629432

Article:Szczuciński, W., & Majewski, W. (in review). Organic carbon burial and sediment accumulation in the fjords of South Georgia, sub-Antarctica. The Holocene.
DOI: 10.11588/duerer.online.691b0948dbd0c
title: Das Dürrerhaus, 185990
DOI: 10.15468/dl.u8449x
title: Occurrence Download

description: A dataset containing 875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia acanthoclada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 875 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038926-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgbbt4
title: Occurrence Download

description: A dataset containing 180531 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Carpinus turczaninowii",
 "TaxonKey is Carya cordiformis",
 "TaxonKey is Carya palmeri",
 "TaxonKey is Carya tonkinensis",
 "TaxonKey is Caryocar amygdaliforme",
 "TaxonKey is Caryocar pallidum",
 "TaxonKey is Casearia arborea arborea",
 "TaxonKey is Senna atomaria",
 "TaxonKey is Cassia biflora",
 "TaxonKey is Senna galeottiana",
 "TaxonKey is Lauridia tetragona",
 "TaxonKey is Cassipourea lescotiana",
 "TaxonKey is Castanea pumila",
 "TaxonKey is Castanopsis argyrophylla",
 "TaxonKey is Castanopsis eyrei",
 "TaxonKey is Castanopsis chinensis",
 "TaxonKey is Chrysolepis chrysophylla",
 "TaxonKey is Castanopsis echinocarpa",
 "TaxonKey is Castanopsis fleuryi",
 "TaxonKey is Castanopsis hypophoenicea",
 "TaxonKey is Castanopsis mekongensis",
 "TaxonKey is Castanopsis wattii",
 "TaxonKey is Chrysolepis sempervirens",
 "TaxonKey is Castela tortuosa",
 "TaxonKey is Cavendishia bracteata",
 "TaxonKey is Celastrus orbiculatus",
 "TaxonKey is Celtis laevigata",
 "TaxonKey is Celtis tetrandra",
 "TaxonKey is Celtis sinensis",
 "TaxonKey is Aphananthe monoica",
 "TaxonKey is Brochoneura usambarensis",
 "TaxonKey is Prunus jamasakura",
 "TaxonKey is Cercis canadensis texensis",
 "TaxonKey is Cercocarpus betuloides macrourus",
 "TaxonKey is Cercocarpus breviflorus",
 "TaxonKey is Cercocarpus rotundifolius",
 "TaxonKey is Pseudocydonia sinensis",
 "TaxonKey is Ulmus mexicana",
 "TaxonKey is Cheiloclinium gleasonianum",
 "TaxonKey is Chisocheton patens",
 "TaxonKey is Chloranthus elatior",
 "TaxonKey is Chloranthus nervosus",
 "TaxonKey is Chloranthus sessilifolius",
 "TaxonKey is Leucanthemum vulgare vulgare",
 "TaxonKey is Gambeya albida",
 "TaxonKey is Synsepalum msolo",
 "TaxonKey is Gambeya subnuda",
 "TaxonKey is Ecclinusa ulei",
 "TaxonKey is Ericameria parryi",
 "TaxonKey is Cibotium chamissoi"
 ]
}

 The dataset includes 180531 records from 1249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038909-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9v5ym
title: Occurrence Download

description: A dataset containing 4305230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1923-2026"
 ]
}

 The dataset includes 4305230 records from 670 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011028-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgqqvk
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.47.21_1","matchCase":false},{"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 58 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011089-260108223611665/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/14504566
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.4zr6gz
title: Occurrence Download

description: A dataset containing 31736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leuciscus leuciscus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2005",
 "Year is less than or equal to 2009"
 ]
}

 The dataset includes 31736 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011088-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21335/nmdc-450800267
title: EveryFish-COCO format specifications. Version 1.0

description: These documents describe the format developed for the annotation and storage of image data targeted for fish detection during the EVERYFISH (https://doi.org/10.3030/101059892) project. It is based, expands, and preserves full compatibility with the COCO (Common Objects in COntext) format, using the same attribute names defined in COCO, and provides additional information about fisheries-related attributes to capture domain relevant information required for fisheries monitoring. This format can also record detailed information for each individual fish, including fish length, weight, and occlusion type. To further support interoperability, a series of controlled vocabularies and standard formats are assigned to most of the attributes.

 

“EVERYFISH-COCO format specifications – v1.0.pdf” is the master document that describes the EVERYFISH-COCO format and file structure. “FAO-Alpha3.csv” and “RECO.csv” are ancillary files that contain December 2025 frozen copies of, respectively, FAO Alpha3 codes for fish and seafood types, and ICES RECO fisheries codes. Links to these codes are can be found in the master document. Here they are provided in separate files due to their length.
DOI: 10.5281/zenodo.18253787
title: Chloris elata Desv. 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 16:44
DOI: 10.5281/zenodo.18253788
title: Chloris elata Desv. 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 16:44
DOI: 10.15468/dl.mejh5a
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya aurea"
 ]
}

 The dataset includes 460 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011090-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/v46y-7h70
title: Sutanto et al. 2026, BEACON JWST. IV

description: A Systematic Search for Galaxy Overdensities and Evidence for Gas Accretion Mode Transition
DOI: 10.5281/zenodo.18253793
title: Chloris fasciculata Schrad. ex Schult. 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 16:44
DOI: 10.5281/zenodo.18253792
title: Chloris fasciculata Schrad. ex Schult. 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 16:44
DOI: 10.15468/dl.7srvc6
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-10.20007 33.1188,9.63084 33.1188,10.46014 48.19029,-10.38035 48.33452,-10.20007 33.1188))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Graellsia isabellae Graëlls, 1849"
 ]
}

 The dataset includes 2252 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011158-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/wz9e-cm12
title: High-throughput and high-sensitivity biomarker monitoring in body fluid by fast LC SureQuant™ IS targeted quantitation

description: Targeted proteomics methods have been greatly improved and refined over the last decade and are becoming increasingly the method of choice in protein and peptide quantitative assays. Despite the tremendous progress in targeted proteomic assays, they still suffer from inadequate sensitivity for lower abundant proteins and throughput, especially in complex biological samples. These attributes are essential for establishing targeted proteomics methods at the forefront of clinical use. Here, we report an assay utilizing the SureQuantTM internal standard triggered targeted method on a contemporary mass spectrometer coupled with an EvoSep One liquid chromatography platform, which displays markedly enhanced sensitivity and a high throughput of 100 samples per day. We demonstrate the robustness of this method by quantifying proteins ranging six orders of magnitude in human wound fluid exudates, a biological fluid that exhibits sample complexity and composition similar to plasma. Among the targets quantified were low abundant proteins such at TNFA and IL1B, highlighting the value of this method in the quantification of trace amounts of invaluable biomarkers that were until recently outside of the sphere of quantification with targeted proteomics methods. Taken together, this method provides an excellent addition to the toolkit of targeted proteomic assays and has the potential to be a centerpiece in biomarker quantification studies.
DOI: 10.15468/dl.s6gs4e
title: Occurrence Download

description: A dataset containing 56519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lycopodiella Holub"
 ]
}

 The dataset includes 56519 records from 718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005833-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54gnzf
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoena sinus Norris & McFarland, 1958"
 ]
}

 The dataset includes 309 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005843-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c47hvd
title: Occurrence Download

description: A dataset containing 210650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America, Guatemala)",
 "HasCoordinate is true",
 "TaxonKey is Sphyrapicus nuchalis S.F.Baird, 1858"
 ]
}

 The dataset includes 210650 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005834-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ucfg7
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Anisodactylus harrisii LeConte, 1863",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 255 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005846-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.