cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17805306
title: Algebraic Origin of Spacetime Signature

description: Algebraic Origin of Spacetime Signature

Authors: Carlos Alberto de la Rosa

Description: A mechanism for the emergence of the (1,3) spacetime signature from optimized unitary flows of Hermitian matrices. Predicts a canonical form for the flow generator at n=4 and critical behavior at n=6. Falsifiable via numerical simulation.

Keywords: spacetime signature, emergent geometry, pre-geometry, matrix models, quantum gravity

Resource Type: Preprint

Publication Status: Not peer-reviewed

License: Creative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.17805305
title: Algebraic Origin of Spacetime Signature

description: Algebraic Origin of Spacetime Signature

Authors: Carlos Alberto de la Rosa

Description: A mechanism for the emergence of the (1,3) spacetime signature from optimized unitary flows of Hermitian matrices. Predicts a canonical form for the flow generator at n=4 and critical behavior at n=6. Falsifiable via numerical simulation.

Keywords: spacetime signature, emergent geometry, pre-geometry, matrix models, quantum gravity

Resource Type: Preprint

Publication Status: Not peer-reviewed

License: Creative Commons Attribution 4.0 International
DOI: 10.5281/zenodo.17805593
title: Deep water [CO32-] variability linked to productivity changes in the Eastern Equatorial Pacific over the last 25 thousand years
DOI: 10.15468/dl.q82sju
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Colección Ictiológica del Museo de La Salle Bogotá (MLS)",
 "Geometry POLYGON((-81.76399 7.16770,-74.99135 7.16770,-74.99135 9.87559,-81.76399 9.87559,-81.76399 7.16770))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025715-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17805592
title: Deep water [CO32-] variability linked to productivity changes in the Eastern Equatorial Pacific over the last 25 thousand years
DOI: 10.15468/dl.gy3g2f
title: Occurrence Download

description: A dataset containing 5138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon orientalis",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2000",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5138 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbnbxp
title: Occurrence Download

description: A dataset containing 1264563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, DD, LC, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 1264563 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025693-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uvgtz
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Romania",
 "DatasetKey is one of (iNaturalist Research-grade Observations, USMB Insecta, Lund University Biological Museum - Insect collections Inventory, Taxonomic, distributional and biological study of the genus Agrilus (Coleoptera Buprestidae). Part III, Lund University Biological Museum - Insect collections Specimens, Coleoptera of R. Scholz Collection, The Coleoptera collection (EC) of the Muséum national d'Histoire naturelle (MNHN - Paris), izeltlabuak.hu observations validated to species level, Natural History Museum Rotterdam - Specimens, Taxonomic, distributional and biological study of the genus Agrilus (Coleoptera: Buprestidae). Part II)",
 "TaxonKey is Agrilus"
 ]
}

 The dataset includes 178 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025718-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwn6gn
title: Occurrence Download

description: A dataset containing 4976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.44_1",
 "TaxonKey is Cyanocorax yncas",
 "Year 2011-2011"
 ]
}

 The dataset includes 4976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025719-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5pp2n
title: Occurrence Download

description: A dataset containing 6662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-72.70451 42.48879,-66.12141 42.48879,-66.12141 47.82721,-72.70451 47.82721,-72.70451 42.48879))",
 "HasGeospatialIssue is false",
 "TaxonKey is Setophaga striata",
 "Year 1995-2010"
 ]
}

 The dataset includes 6662 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025721-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e236761
title: Data and Code for: Monetary Cooperation during Global Inflation Surges

description: We study optimal monetary policy during times of global scarcity of tradable goods. The
optimal monetary response entails a surge in inflation, which helps rebalance production towards the tradable sector. While the inflation costs are fully bore domestically, however, the
gains in terms of higher supply of tradable goods partly spill over to the rest of the world.
National central banks may thus fall into a coordination trap, and implement an excessively
tight monetary policy causing an unnecessarily sharp global contraction.
DOI: 10.3886/e236761v1
title: Data and Code for: Monetary Cooperation during Global Inflation Surges

description: We study optimal monetary policy during times of global scarcity of tradable goods. The
optimal monetary response entails a surge in inflation, which helps rebalance production towards the tradable sector. While the inflation costs are fully bore domestically, however, the
gains in terms of higher supply of tradable goods partly spill over to the rest of the world.
National central banks may thus fall into a coordination trap, and implement an excessively
tight monetary policy causing an unnecessarily sharp global contraction.
DOI: 10.5066/p13g5nmb
title: Method development data – Stabilization of volatile silicon species in hydrofluoric acid (HF) digests of biological samples for HF-free silicon analysis by ICP-MS

description: Experiments were conducted in the U.S. Geological Survey (USGS) Aqueous Trace Element Analysis Laboratory (ATEAL) in Denver, CO to support development and validation of a method for preparing biological materials for silicon analysis by solution phase inductively coupled plasma mass spectrometry (ICP-MS). The objective was to stabilize volatile silicon species resulting from a digestion method utilizing hydrofluoric acid (HF) during evaporative removal of HF from the sample. Removal of HF prior to ICP-MS analysis is necessary to avoid its deleterious effects on sample introduction components made up of quartz resulting in high background signals and preventing measurement of trace concentrations of silicon. Experiments were designed to test efficacy of salts of Group I elements, including lithium chloride (LiCl), sodium chloride (NaCl), potassium chloride (KCl), rubidium nitrate (RbNO3) and cesium chloride (CsCl) for stabilization of volatile silicon species. The effects of alcohols, namely methanol and n-propanol, solution acidity and heating/drying schemes were investigated to achieve effective stabilization of silicon species. Silicon background signals from the evaporated and unevaporated test solutions were measured using a HF-susceptible quartz sample introduction setup (PAF-Quartz) and a fully HF-inert PAF-Sapphire setup to determine the analytical merits of the method. Method validation was performed by determining silicon concentrations in several plant and tissue standard reference materials.
DOI: 10.5281/zenodo.17805342
title: Forage cactus 'Orelha de Elefante Mexicana' nutritional dataset: uni-, bi-, and multivariate analyses

description: This dataset contains the raw and processed information used in the study “Nutritional standards for forage cactus ‘Orelha de Elefante Mexicana’ by uni-, bi-, and multivariate methods.”

The dataset includes:





Raw meteorological data collected from a weather station, providing daily climate records used to characterize the experimental conditions.




Excel spreadsheets with all calculations performed for each analytical approach (univariate, bivariate, and multivariate).




Files containing graphs, tables, and intermediate results generated during data processing and statistical analysis.



All files are organized according to the type of analysis to support transparency, reproducibility, and further exploration of the results presented in the associated research article.
DOI: 10.5281/zenodo.17805341
title: Forage cactus 'Orelha de Elefante Mexicana' nutritional dataset: uni-, bi-, and multivariate analyses

description: This dataset contains the raw and processed information used in the study “Nutritional standards for forage cactus ‘Orelha de Elefante Mexicana’ by uni-, bi-, and multivariate methods.”

The dataset includes:





Raw meteorological data collected from a weather station, providing daily climate records used to characterize the experimental conditions.




Excel spreadsheets with all calculations performed for each analytical approach (univariate, bivariate, and multivariate).




Files containing graphs, tables, and intermediate results generated during data processing and statistical analysis.



All files are organized according to the type of analysis to support transparency, reproducibility, and further exploration of the results presented in the associated research article.
DOI: 10.15468/dl.zx9ym3
title: Occurrence Download

description: A dataset containing 6249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.44_1",
 "TaxonKey is Cyanocorax yncas",
 "Year 2012-2012"
 ]
}

 The dataset includes 6249 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025722-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240869
title: HIFLD OPEN North America Political Divisions Polygons

description: The North American Atlas data are standardized geospatial data. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data.The new version of the North American Atlas - Political Boundaries data set shows political entities in North America as polygons representing jurisdictional areas, such as, International boundaries, Provincial boundaries and State or territory boundaries.This is a revised version of the 2010 data set released by the Commission for Environmental Cooperation. This new version integrates political boundaries spatial vector information published by each country in 2021. The data set includes 10 provinces and 3 territories in Canada; 32 states in Mexico; 48 states and the District of Columbia in the conterminous United Sates, Alaska and Hawaii, as well as Puerto Rico and the US Virgin Islands in the Caribbean region.Files Download
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240869v2
title: HIFLD OPEN North America Political Divisions Polygons

description: The North American Atlas data are standardized geospatial data. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data.The new version of the North American Atlas - Political Boundaries data set shows political entities in North America as polygons representing jurisdictional areas, such as, International boundaries, Provincial boundaries and State or territory boundaries.This is a revised version of the 2010 data set released by the Commission for Environmental Cooperation. This new version integrates political boundaries spatial vector information published by each country in 2021. The data set includes 10 provinces and 3 territories in Canada; 32 states in Mexico; 48 states and the District of Columbia in the conterminous United Sates, Alaska and Hawaii, as well as Puerto Rico and the US Virgin Islands in the Caribbean region.Files Download
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.25934/pr00010996
title: Heterogeneous treatment effects in Ankylosing spondylitis: an IPD meta-analysis

description: Ankylosing spondylitis (AS) is a long-term condition that mainly affects the spine, causing pain and stiffness. It can significantly impact a person’s quality of life, as movement becomes difficult due to inflammation in the spine and other joints. Inflammation is when the body's immune system mistakenly attacks its own tissues, causing swelling, pain, and redness. In ankylosing spondylitis, this inflammation typically affects the joints in the spine and can lead to further damage and difficulty moving over time.

This condition affects approximately 0.1% to 0.5% of the population. Current treatment options include tumor necrosis factor inhibitors (TNFi). TNFi are a class of medications used to treat ankylosing spondylitis by targeting and blocking the effects of TNF, a protein that causes inflammation. By reducing TNF activity, these inhibitors help to alleviate pain, stiffness, and other symptoms associated with AS. However, not all patients respond in the same way to these treatments, which can lead to unnecessary side effects and delays in finding a more effective therapy.

This research aims to focus on one class of TNFi called monoclonal antibodies (anti-TNF mAbs). By identifying which patients are most likely to benefit from anti-TNF mAbs, the right treatment can be provided to the right person, benefiting the decision-making of drug choice. Using large datasets from previous studies, the research team will estimate differences in how individual patients respond to mAbs. The goal is to develop a tool that groups patients based on shared characteristics and predicts how they will respond to certain therapies. This tool will use advanced data analysis methods, including machine learning, to identify patterns in drug response.

The insights gained from this research may help doctors make more personalized treatment decisions, improving patient outcomes and reducing unnecessary treatments. In the future, this research could also guide further studies on how patients’ unique biological characteristics, such as how drugs are absorbed and processed in their bodies or the role of inflammatory proteins, influence their response to therapy.
DOI: 10.6084/m9.figshare.30128551
title: Global dataset of species mixing effects on plant biomass accumulation and nutrient cycling

description: Database associated with Hui Z. et al. "Species mixing promotes plant biomass accumulation and nutrient cycling in forest plantations"
DOI: 10.6084/m9.figshare.30128551.v3
title: Global dataset of species mixing effects on plant biomass accumulation and nutrient cycling

description: Database associated with Hui Z. et al. "Species mixing promotes plant biomass accumulation and nutrient cycling in forest plantations"
DOI: 10.6084/m9.figshare.30128551.v2
title: Global dataset of species mixing effects on plant biomass accumulation and nutrient cycling

description: Database associated with Hui Z. et al. "Species mixing promotes plant biomass accumulation and nutrient cycling in forest plantations"
DOI: 10.15468/dl.7zgzyu
title: Occurrence Download

description: A dataset containing 6598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.23_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is June",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2025-2025"
 ]
}

 The dataset includes 6598 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025724-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2a8xa
title: Occurrence Download

description: A dataset containing 1157665 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limanda limanda"
 ]
}

 The dataset includes 1157665 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025678-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17672120
title: Low-temperature inkjet-printed electrochemical sensors on OSTE+ microfluidics for oxygen monitoring and scavenging

description: This repository includes the data related to this article: Low-temperature inkjet-printed electrochemical sensors on OSTE+ microfluidics for oxygen monitoring and scavenging. It includes different types of data from optical images, SEM, simulation data, electrochemical characterization, and dissolved oxygen values. A preprint of this article can be found here: https://doi.org/10.1101/2025.09.23.675348
DOI: 10.5281/zenodo.17804246
title: Low-temperature inkjet-printed electrochemical sensors on OSTE+ microfluidics for oxygen monitoring and scavenging

description: This repository includes the data related to this article: Low-temperature inkjet-printed electrochemical sensors on OSTE+ microfluidics for oxygen monitoring and scavenging. It includes different types of data from optical images, SEM, simulation data, electrochemical characterization, and dissolved oxygen values. A preprint of this article can be found here: https://doi.org/10.1101/2025.09.23.675348
DOI: 10.82147/010
title: Speeding Behaviour Data 2023 - LSOA level
DOI: 10.15468/dl.4n5vw8
title: Occurrence Download

description: A dataset containing 7475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.44_1",
 "TaxonKey is Cyanocorax yncas",
 "Year 2013-2013"
 ]
}

 The dataset includes 7475 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025725-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdewwm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.5869410671892 17.323861824466952,-92.49347697257082 17.323861824466952,-92.49347697257082 18.417325919085336,-93.5869410671892 18.417325919085336,-93.5869410671892 17.323861824466952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpailurus yaguarondi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025727-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17790511
title: Data and Code: Digital Platforms and Epistemic Legitimacy in Indonesia - 2023 Jokowi Diploma Controversy

description: This dataset contains the complete research materials for the study "Digital Platforms and Epistemic Legitimacy in Indonesia: A Comparative Analysis of Wikipedia and X (Twitter) during the 2023 'Jokowi Diploma' Controversy" submitted to New Media & Society.

CONTENTS:

1. RAW DATA:   - Twitter/X dataset: "ijazah_palsu_jokowi_cleaning.csv" (January-June 2023, 3,340 tweets)   - Wikipedia article: "Kasus-kasus hukum terkait ijazah Joko Widodo.txt" (complete article text)

2. ANALYSIS CODE (Jupyter Notebooks):   - RQ1 series: Network analysis and semantic examination (RQ_1_1.ipynb, RQ_1_2.ipynb, RQ_1_3.ipynb)   - RQ2 series: Polarization and sentiment analysis (RQ_2_1.ipynb, RQ_2_2.ipynb, RQ_2_3.ipynb)   - RQ3 series: Virality and epistemic quality assessment (RQ_3_1.ipynb, RQ_3_2.ipynb, RQ_3_3.ipynb)   - Additional analyses: Digital literacy (RQ_literasi_digital.ipynb) and mobile-first dynamics (RQ_Mobile_First_Dynamics.ipynb)

3. DOCUMENTATION:   - OSM.pdf: Complete Online Supplementary Materials (OSM 1-10) describing all analytical procedures

METHODOLOGY:The study employs a sequential explanatory mixed-methods approach comparing Wikipedia's collaborative verification with X/Twitter's algorithmic amplification. Analysis includes network analysis, sentiment scoring, readability metrics (Flesch-Kincaid), and CRAAP content quality assessment.

LICENSE: CC-BY 4.0 International for data, MIT License for codeLANGUAGE: Indonesian (data), English (metadata)FORMATS: CSV, TXT, IPYNB, PDF