cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16951095
title: Source data for: Entropy-extended Agam operator — a unified quantum–thermodynamic framework for entropy–coherence coupling across physical, biological and atmospheric systems

description: Source data for the Nature Communications submission “Entropy-extended Agam operator: a unified quantum–thermodynamic framework for entropy–coherence coupling across physical, biological and atmospheric systems”.

Contents• combustion_S3B_300s.csv — NaCl (% w/w) vs Δλ (nm) and ΔΓ (nm) at 300 s; mean ± SD; n=3 independent burns; SEM = SD/√n.• modtran_irradiance_vs_altitude.csv — Altitude (km) vs irradiance (W m⁻² nm⁻¹).• modtran_delta_irradiance_vs_SZA.csv — ΔIrradiance (%) vs solar zenith angle (°) at elevations 0/10/20 km.• README_Source_Data.txt — Column definitions, units, license guidance.• (Optional templates included for future uploads: template_FLIM_lifetimes.csv, template_PMT_spectrum.csv, template_Spirulina_assay.csv.)

ProvenanceNumeric series extracted from the submitted Supplementary Information tables and MODTRAN runs; instrument settings and replicates are documented in the manuscript Methods.

CitationPlease cite this dataset and the associated manuscript. The concept DOI is 10.5281/zenodo.16894225; this record mints a version-specific DOI on publication.

LicenseData are released under CC BY 4.0.
DOI: 10.5281/zenodo.16967281
title: Pilsen 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Pilsen 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
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QML


15 minutes city index SLD style
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SLD
DOI: 10.5281/zenodo.16967282
title: Pilsen 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Pilsen 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
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SLD
DOI: 10.5281/zenodo.15009471
title: On the Scaling of the Normalized Magnetic Reconnection Rate with Local and Background Plasma Parameters
DOI: 10.5281/zenodo.15009472
title: On the Scaling of the Normalized Magnetic Reconnection Rate with Local and Background Plasma Parameters
DOI: 10.7910/dvn/wlx74l
title: Replication Data for: Discrepancies in Signature Strengths Identification: Insights from Self-Nomination and VIA Assessment Across a Global Sample

description: Data for replication of the analysis.
DOI: 10.15468/dl.35degk
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropidophoxinellus spartiaticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000402-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drh392
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis aemodius",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000403-250827131500795/datasets/export for details.
DOI: 10.15468/dl.7gkztz
title: Occurrence Download

description: A dataset containing 26292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2.107_2",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 26292 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000404-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3g9fr7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium odoratissimum",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000405-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16967324
title: Parma 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Parma 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD
DOI: 10.5281/zenodo.16967325
title: Parma 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Parma 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD
DOI: 10.15468/dl.4d3zm9
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium odoratissimum",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000407-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8nd94
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium odoratissimum",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000408-250827131500795/datasets/export for details.
DOI: 10.15468/dl.mz2776
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rugulopteryx okamurae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 476 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000406-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5cvn9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.85277 34.24421,42.14723 34.24421,42.14723 48.75579,5.85277 48.75579,5.85277 34.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tulipa hungarica rhodopea"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000409-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16967345
title: Marin_Vicente_et_al_Additional_data_2

description: Readme:

Complementary raw data: Distributed in 4 different github links (Raw_data_1-Raw_data_4). Raw data 1 includes as well the SEURAT code adapted to proteomics data used in the manuscript.

 

1.       Figure_4 folder: includes the Adobe Illustrator Figure_4.ai; the input txt file for metaboanalyst for Figure 4 and xlsx file including the VIPs accession numbers out of PLSDA; Pdf, jpg and svg files correspondant to panels Fig4a-Fig4e.

2.       Figure_5 folder: includes the Adobe Illustrator Figure_5.ai; the input txt file for metaboanalyst for Figure 5 and xlsx file including the VIPs accession numbers out of PLSDA; Pdf, jpg and svg files correspondant to panels of Fig5a-Fig5f.

3.       Figure_6 folder: includes the Adobe Illustrator Figure_6.ai; the input txt file for metaboanalyst for Figure 6; Jpg files of each of the violin plots shown in this figure.

4.       This additional data also includes the relation table generated for integrating data to cellular compartment.
DOI: 10.34944/jd65-8q07
title: Metronidazole plus cephalosporin vs cephalosporin alone to decrease the risk of surgical site infection after hysterectomy
DOI: 10.15468/dl.572hxr
title: Occurrence Download

description: A dataset containing 809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.38795 42.6004,2.41142 42.6004,2.41142 42.60984,2.38795 42.60984,2.38795 42.6004))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 809 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000410-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nxkpv
title: Occurrence Download

description: A dataset containing 6054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Faxonius limosus, Procambarus clarkii, Procambarus virginalis, Faxonius virilis, Procambarus acutus, Astacus astacus, Pontastacus leptodactylus)",
 "Country is Belgium",
 "Geometry POLYGON((2.500000 50.680000,5.900000 50.680000,5.900000 51.500000,2.500000 51.500000,2.500000 50.680000))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6054 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000413-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3gqxa
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Algyroides moreoticus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 437 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000414-250827131500795/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/12887938
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.16967357
title: Leuven 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Leuven 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD
DOI: 10.5281/zenodo.16967356
title: Leuven 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Leuven 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD
DOI: 10.15468/dl.w2dvcz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium zonale",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000417-250827131500795/datasets/export for details.
DOI: 10.15468/dl.3smqqc
title: Occurrence Download

description: A dataset containing 201340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sibirionetta formosa, Siganus luridus, Siganus rivulatus, Sillago sihama, Silurus glanis, Sinanodonta woodiana, Sinelobus vanhaareni, Singhiella simplex, Sinosuthora webbiana, Siphateles bicolor, Siphonaria pectinata, Siphoninus phillyreae, Sirex noctilio, Sitona hispidulus, Sitophilus granarius, Sitophilus oryzae, Sitophilus zeamais, Solenopsis geminata, Solenopsis invicta, Sparus aurata)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 201340 records from 625 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000375-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bqwj9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium zonale",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000416-250827131500795/datasets/export for details.
DOI: 10.15468/dl.zs2a5r
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelargonium zonale",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000418-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u7xcj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis unicolor",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000419-250827131500795/datasets/export for details.
DOI: 10.15468/dl.ta3444
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Psilorhynchus homaloptera)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000421-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tubaat
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oculina patagonica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 478 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000420-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16967399
title: Cluj-Napoca 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Cluj-Napoca 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD
DOI: 10.5281/zenodo.16967400
title: Cluj-Napoca 15 minutes city index

description: Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.

 




Cluj-Napoca 15 minutes city index
Proximity index to services evaluating how easily points of interest (PoIs) can be reached on foot or by bicycle, in line with the “15-minute city” concept introduced by Carlos Moreno. The dataset is an hexagonal grid with information about the 8 categories (PoIs): groceries, education, healthcare, banks and post offices, parks, entertainment, sustenance, and shops.The input data (PoIs and road network) are from OSM.
CSV


15 minutes city index QML style
Style  to apply at the dataset '15 minutes city index'  in QML format for QGIS
QML


15 minutes city index SLD style
Style  to apply at the dataset '15 minutes city index'  in SLD format (Styled Layer Descriptor standard OpenGIS®
SLD