cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0077357.10fu
title: SH0077357.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.ytsxqh
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077117-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4958vb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077118-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29432735
title: <b>Misinformation Susceptibility Scale</b>

description: <b>Misinformation Susceptibility Scale</b>
DOI: 10.6084/m9.figshare.29432735.v1
title: <b>Misinformation Susceptibility Scale</b>

description: <b>Misinformation Susceptibility Scale</b>
DOI: 10.5281/zenodo.15252152
title: Measurement data, results and code for the paper "Validation of PCHE-type CO2-CO2 Recuperative Heat Exchanger Modeling Using Conductance Ratio Method"

description: These files are included:

 



data_pche_zigzag.csv



temperatures in °C

pressures in Pa gauge

Includes corrected temperatures to fit energy balance constraint. Includes results of uncertainty analysis.



data_pche_sshapedfin.csv



temperatures in °C

pressures in Pa gauge

Includes corrected temperatures to fit energy balance constraint. Includes results of uncertainty analysis.




 



res_HEX_pche_zigzag.mat



SI units (temperatures in K)

Results of the conventional model for the zigzag PCHE as MATLAB data.



res_CRhex_pche_zigzag.mat



SI units + temperatures in °C

Results of the conductance ratio method for the zigzag PCHE as MATLAB data.






res_CRhex_pche_sshapedfin.mat



SI units + temperatures in °C

Results of the conductance ratio method for the s-shaped fin PCHE as MATLAB data.




 



Postprocessing.zip



Analysis of all results and figures as MATLAB code. mainPostProcessing.m calls the following code:







Postprocessing_Qexp.m

Postprocessing_Qexp_pche2.m

Postprocessing_HEXclass.m

Postprocessing_CRhex.m

Postprocessing_CRhex_pche2.m








 

MATLAB version R2024b.
DOI: 10.5281/zenodo.15252151
title: Measurement data, results and code for the paper "Validation of PCHE-type CO2-CO2 Recuperative Heat Exchanger Modeling Using Conductance Ratio Method"

description: These files are included:

 



data_pche_zigzag.csv



temperatures in °C

pressures in Pa gauge

Includes corrected temperatures to fit energy balance constraint. Includes results of uncertainty analysis.



data_pche_sshapedfin.csv



temperatures in °C

pressures in Pa gauge

Includes corrected temperatures to fit energy balance constraint. Includes results of uncertainty analysis.




 



res_HEX_pche_zigzag.mat



SI units (temperatures in K)

Results of the conventional model for the zigzag PCHE as MATLAB data.



res_CRhex_pche_zigzag.mat



SI units + temperatures in °C

Results of the conductance ratio method for the zigzag PCHE as MATLAB data.






res_CRhex_pche_sshapedfin.mat



SI units + temperatures in °C

Results of the conductance ratio method for the s-shaped fin PCHE as MATLAB data.




 



Postprocessing.zip



Analysis of all results and figures as MATLAB code. mainPostProcessing.m calls the following code:







Postprocessing_Qexp.m

Postprocessing_Qexp_pche2.m

Postprocessing_HEXclass.m

Postprocessing_CRhex.m

Postprocessing_CRhex_pche2.m








 

MATLAB version R2024b.
DOI: 10.34740/kaggle/dsv/12319780
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.13987476
title: Results of the manuscript: Identification of novel type 1 and type 2 diabetes genes by co-localization of human islet eQTL and GWAS variants with colocRedRibbon
DOI: 10.15468/dl.pxmsv7
title: Occurrence Download

description: A dataset containing 85113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 85113 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077116-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15767386
title: nupalirus_japonicus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15767387
title: nupalirus_japonicus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.15767391
title: Renormalizability of Quantum Gravity: Topological Approach to Three-Graviton Vertex

description: This paper proves the renormalizability of quantum gravity through explicit calculation of the three-graviton vertex in a topological framework. We demonstrate ultraviolet finiteness via topological regularization, asymptotic safety, and exponen-tial suppression at Planck scales. Experimental predictions for gravitational wave observatories are provided.
DOI: 10.5281/zenodo.15767392
title: Renormalizability of Quantum Gravity: Topological Approach to Three-Graviton Vertex

description: This paper proves the renormalizability of quantum gravity through explicit calculation of the three-graviton vertex in a topological framework. We demonstrate ultraviolet finiteness via topological regularization, asymptotic safety, and exponen-tial suppression at Planck scales. Experimental predictions for gravitational wave observatories are provided.
DOI: 10.34847/nkl.4a5e08qy
title: Analysis of a Dump from Padiamenope’s first Diggings, containing Middle Kingdom Artefacts

description: How to quote this model in a scientific paper?

Fr. Colin, “ Analysis of a Dump from Padiamenope’s first Diggings, containing Middle Kingdom Artefacts”, Field Survey AS-2023-2Q-3, Strasbourg, 2024.

The photogrammetric survey AS-2023-2Q-3 has been conducted to document the artifacts and contexts uncovered by the French Archaeological Mission in Asasif (Luxor, Egypt) and to prepare the publication.

Photographic survey and photogrammetric modelling Fr. Colin. Univ. de Strasbourg, CNRS, UMR 7044 Archimède. Topography Cassandre Hartenstein.

Partners of the project: Egyptian Ministry of Tourism and Antiquities, IFAO, Univ. de Strasbourg, CNRS.
DOI: 10.15468/dl.ssxeam
title: Occurrence Download

description: A dataset containing 10658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10658 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077128-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.4a6b5bzf
title: Gauchito Gil (Santiago del Estero, 26°05'38.5"S - 63°39'01.9"W)
DOI: 10.15468/dl.c39jqp
title: Occurrence Download

description: A dataset containing 6388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6388 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077132-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14600500
title: Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012–2023), Version 1

description: Overview



This dataset provides daily snow depth estimates over pan-Arctic sea ice for the freezing seasons from 2012 to 2023, derived from Advanced Microwave Scanning Radiometer-2 (AMSR2) data, utilizing a newly proposed adaptive seasonal algorithm (AdaSA-SD). To derive the algorithmic coefficients in AdaSA-SD, a novel airborne-calibrated altimetric snow depth dataset, derived from CryoSat-2 and Ice Cloud land Elevation Satellite-2 (ICESat-2) freeboard measurements, was used as the truth reference for algorithm training.

 

Filename: YYYY-MM-dd [Year-Month-Day]

Parameter(s): 







Snow_Depth: Daily mean snow depth field derived using the AdaSA-SD method (unit: cm)




Snow_Depth_Movmean: Seven-day moving average of the daily snow depth (unit: cm)




Uncertainty: Uncertainty in daily snow depth retrieval based on Monte Carlo-based simulations (unit: cm)




Uncertainty_Movmean: Seven-day moving average of the daily snow depth uncertainty (unit: cm)




 

Platform(s):  GCOM-W, CryoSat-2, and ICESat-2

Sensor(s):  Advanced Microwave Scanning Radiometer 2 (AMSR2), Synthetic Aperture Interferometric Radar Altimeter (SIRAL), and Advanced Topographic Laser Altimeter System (ATLAS)

Data Format(s): NetCDF

Temporal Coverage: 1 October 2012 to 30 April 2023

Temporal Resolution: 1 day / weekly (7-day moving average)

Spatial Resolution: 25 km × 25 km



Spatial Reference System(s): NSIDC Sea Ice Polar Stereographic North (EPSG:3411)


Spatial Coverage:  N:90 S:0 E:180 W:-180

 

The dataset consists of files for each day of the study period, along with the corresponding snow depth maps and uncertainty maps. 

 

Note: Snow depths were only retained for results with sea ice concentration above 50% to ensure data quality. The seven-day moving average results help mitigate the effects of melt-refreeze-thaw events, but they reduce the temporal resolution of the data.

 

If you have any questions please contact: Yizhou.os@sjtu.edu.cn, thanks!

 



Yi zhou, Xianwei Wang, and Chentong Zhang are with School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China, and also with Key Laboratory of Polar Ecosystem and Climate Change (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China.

 

Ruibo Lei is with Key Laboratory for Polar Science, Ministry of Natural Resources, Polar Research Institute of China, Shanghai, China.

 

Yu Zhang is with College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China, and also with Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
DOI: 10.5281/zenodo.15695141
title: Daily gridded Arctic snow depth dataset over sea ice from AMSR2 using an adaptive seasonal algorithm (2012–2023), Version 1

description: Overview



This dataset provides daily snow depth estimates over pan-Arctic sea ice for the freezing seasons from 2012 to 2023, derived from Advanced Microwave Scanning Radiometer-2 (AMSR2) data, utilizing a newly proposed adaptive seasonal algorithm (AdaSA-SD). To derive the algorithmic coefficients in AdaSA-SD, a novel airborne-calibrated altimetric snow depth dataset, derived from CryoSat-2 and Ice Cloud land Elevation Satellite-2 (ICESat-2) freeboard measurements, was used as the truth reference for algorithm training.

 

Filename: YYYY-MM-dd [Year-Month-Day]

Parameter(s): 







Snow_Depth: Daily mean snow depth field derived using the AdaSA-SD method (unit: cm)




Snow_Depth_Movmean: Seven-day moving average of the daily snow depth (unit: cm)




Uncertainty: Uncertainty in daily snow depth retrieval based on Monte Carlo-based simulations (unit: cm)




Uncertainty_Movmean: Seven-day moving average of the daily snow depth uncertainty (unit: cm)




 

Platform(s):  GCOM-W, CryoSat-2, and ICESat-2

Sensor(s):  Advanced Microwave Scanning Radiometer 2 (AMSR2), Synthetic Aperture Interferometric Radar Altimeter (SIRAL), and Advanced Topographic Laser Altimeter System (ATLAS)

Data Format(s): NetCDF

Temporal Coverage: 1 October 2012 to 30 April 2023

Temporal Resolution: 1 day / weekly (7-day moving average)

Spatial Resolution: 25 km × 25 km



Spatial Reference System(s): NSIDC Sea Ice Polar Stereographic North (EPSG:3411)


Spatial Coverage:  N:90 S:0 E:180 W:-180

 

The dataset consists of files for each day of the study period, along with the corresponding snow depth maps and uncertainty maps. 

 

Note: Snow depths were only retained for results with sea ice concentration above 50% to ensure data quality. The seven-day moving average results help mitigate the effects of melt-refreeze-thaw events, but they reduce the temporal resolution of the data.

 

If you have any questions please contact: Yizhou.os@sjtu.edu.cn, thanks!

 



Yi zhou, Xianwei Wang, and Chentong Zhang are with School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China, and also with Key Laboratory of Polar Ecosystem and Climate Change (Shanghai Jiao Tong University), Ministry of Education, Shanghai, China.

 

Ruibo Lei is with Key Laboratory for Polar Science, Ministry of Natural Resources, Polar Research Institute of China, Shanghai, China.

 

Yu Zhang is with College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China, and also with Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
DOI: 10.5281/zenodo.15767435
title: Intensivkapazitäten und COVID-19-Intensivbettenbelegung in Deutschland

description: Das Intensivregister (www.intensivregister.de) ist eine digitale Plattform zur Echtzeiterfassung von intensivmedizinischen Behandlungs- und Bettenkapazitäten sowie den Fallzahlen intensivmedizinisch behandelter COVID-19-Patient:innen der etwa 1.300 Akut-Krankenhäuser Deutschlands. Bis 12 Uhr ist die tägliche Meldung laut Verordnung für die Krankenhäuser verpflichtend. Darüber hinaus kann beliebig oft gemeldet werden, sodass Veränderungen in den Kapazitäten aktuell berichtet werden können.
Damit ermöglicht das Intensivregister in der Pandemie sowie darüber hinaus, Engpässe in der intensivmedizinischen Versorgung im regionalen und zeitlichen Vergleich zu erkennen. Es schafft somit eine wertvolle Grundlage zur Reaktion und zur datengestützten Handlungssteuerung in Echtzeit. Zur Aufrechterhaltung der Krankenhausversorgung bietet das DIVI-Intensivregister demnach ein Portal zur Suche freier Intensivbetten und zur Kontaktaufnahme zwischen Fachkolleg*innen, um die gegenseitige Unterstützung bei Behandlungsfragen im intensivmedizinischen Kontext zu erleichtern. Ebenso liefert es eine maßgebliche Informationsgrundlage für staatliche Steuerungs- und Planungsmaßnahmen sowie für die lokale und überregionale Steuerung und Koordinierung der Bettenbelegung.
DOI: 10.15468/dl.7garak
title: Occurrence Download

description: A dataset containing 313107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunnus South, 1845"
 ]
}

 The dataset includes 313107 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077130-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.4a889ri8
title: chronique
DOI: 10.15468/dl.y9fgce
title: Occurrence Download

description: A dataset containing 355151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 355151 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077127-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rsqj5
title: Occurrence Download

description: A dataset containing 130017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 130017 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077126-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5k8p2c
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Salvia karelinii J.B.Walker, Salvia scrophulariifolia (Bunge) B.T.Drew, Salvia abrotanoides (Kar.) Sytsma, Salvia yangii B.T.Drew)"
 ]
}

 The dataset includes 979 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077141-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15767446
title: 𝕌-Physics v5.0 — Phase Anatomy of Reality

description: This is Phase v5.0 of the Unified Resonant Field Physics (𝕌-Physics), authored by Aziz Aysenov.

It continues directly from Phase 4.0 (“Dark Core: Mirror of Untuned Potential”) and builds a complete phase anatomy of human, perceptual, and physical reality.

This work includes four structural modules:

1. **U Human Phase Model**     — explores phase-based medicine, psychology, and economics.

2. **U Reality Core Extensions**     — defines the core limbs of reality: information, consciousness, cycles, structure, and polarity.

3. **U-Light & U-Sound Phase Model**     — explains light and sound as different velocities of phase collapse.

4. **U-Time & U-Space**     — redefines space and time as tension states within phase topology.

Each module contains:  • Formulas  • Phase-logic structure  • Experimental handles  • Conditions for measurement

The publication references Phase 1.0 [https://zenodo.org/records/15766506] as its foundational formula.

Nothing here is metaphor.  This is a physical framework of phase coherence — structured, living, and measurable.
DOI: 10.5281/zenodo.15767447
title: 𝕌-Physics v5.0 — Phase Anatomy of Reality

description: This is Phase v5.0 of the Unified Resonant Field Physics (𝕌-Physics), authored by Aziz Aysenov.

It continues directly from Phase 4.0 (“Dark Core: Mirror of Untuned Potential”) and builds a complete phase anatomy of human, perceptual, and physical reality.

This work includes four structural modules:

1. **U Human Phase Model**     — explores phase-based medicine, psychology, and economics.

2. **U Reality Core Extensions**     — defines the core limbs of reality: information, consciousness, cycles, structure, and polarity.

3. **U-Light & U-Sound Phase Model**     — explains light and sound as different velocities of phase collapse.

4. **U-Time & U-Space**     — redefines space and time as tension states within phase topology.

Each module contains:  • Formulas  • Phase-logic structure  • Experimental handles  • Conditions for measurement

The publication references Phase 1.0 [https://zenodo.org/records/15766506] as its foundational formula.

Nothing here is metaphor.  This is a physical framework of phase coherence — structured, living, and measurable.
DOI: 10.15468/dl.fdaxsp
title: Occurrence Download

description: A dataset containing 19973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19973 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077143-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mr7h3
title: Occurrence Download

description: A dataset containing 28783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28783 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077142-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv4yqz
title: Occurrence Download

description: A dataset containing 55644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55644 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077135-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szqjjw
title: Occurrence Download

description: A dataset containing 11273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11273 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97jsju
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077149-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cw9u7j
title: Occurrence Download

description: A dataset containing 1048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1048 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077150-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grpmpc
title: Occurrence Download

description: A dataset containing 1533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia J.F.Gmelin, 1789",
 "Country is Guyana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1533 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077153-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.