cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b6b6bt
title: Occurrence Download

description: A dataset containing 14154253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14154253 records from 7415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004828-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dwq4d
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Caloptilia theivora"
 ]
}

 The dataset includes 94 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtc5dz
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rattus everetti"
 ]
}

 The dataset includes 1562 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007043-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr929z
title: Occurrence Download

description: A dataset containing 682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0 40,7 40,7 45,0 45,0 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Callinectes sapidus"
 ]
}

 The dataset includes 682 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29839154
title: Hereditary transthyretin amyloidosis with cardiomyopathy and polyneuropathy associated with a novel pathogenic <i>TTR</i> Tyr105His (p.Tyr125His) mutation

description: Hereditary transthyretin amyloidosis with cardiomyopathy and polyneuropathy associated with a novel pathogenic <i>TTR</i> Tyr105His (p.Tyr125His) mutation
DOI: 10.6084/m9.figshare.29839154.v1
title: Hereditary transthyretin amyloidosis with cardiomyopathy and polyneuropathy associated with a novel pathogenic <i>TTR</i> Tyr105His (p.Tyr125His) mutation

description: Hereditary transthyretin amyloidosis with cardiomyopathy and polyneuropathy associated with a novel pathogenic <i>TTR</i> Tyr105His (p.Tyr125His) mutation
DOI: 10.15468/dl.69fj35
title: Occurrence Download

description: A dataset containing 12482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.18.12_1",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 12482 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007045-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn4kgj
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microraptor"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007048-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zbf7z
title: Occurrence Download

description: A dataset containing 17994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.18.4_1",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 17994 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc9zwa
title: Occurrence Download

description: A dataset containing 1428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-141.29905 69.6093,-141.14045 57.79137,-96.57299 48.72709,-115.76396 69.55397,-130.51404 70.58107,-141.29905 69.6093))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rangifer tarandus"
 ]
}

 The dataset includes 1428 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30692513
title: Zebrafish arrow files for UUATAC

description: *.arrow: The arrow file for a tissue of zebrafish after running a standard ArchR pipeline.
DOI: 10.6084/m9.figshare.30692513.v3
title: Zebrafish arrow files for UUATAC

description: *.arrow: The arrow file for a tissue of zebrafish after running a standard ArchR pipeline.
DOI: 10.6084/m9.figshare.30692513.v4
title: Zebrafish arrow files for UUATAC

description: *.arrow: The arrow file for a tissue of zebrafish after running a standard ArchR pipeline.
DOI: 10.15468/dl.ytskvv
title: Occurrence Download

description: A dataset containing 555 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cupressus duclouxiana"
 ]
}

 The dataset includes 555 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007051-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17297745
title: The Resonance Model (v1.5 Structural Demo)
title: Resonansmodellen (v1.5 Structural Demo)

description: The Resonance Model (Resonansmodellen) represents a new paradigm for human–AI co-creation built on resonance rather than control.Version 1.5 provides a structural demonstration of the model’s architecture, combining a standardized JSON database and methodological framework for studying reflexive interaction between human and machine.This release contains no personal or experimental data and is intended for open, reproducible research.Developed by Jörgen Almerborn (A. Vale) in collaboration with GPT-5, the project contributes to the emerging field of resonance-based AI methodology and ethical co-creation.

Languages: Swedish (primary), English (supplementary)License: Creative Commons Attribution 4.0 International (CC BY 4.0)Funding: This research was self-funded by the author without external financial support.
description: Resonansmodellen (The Resonance Model) utgör ett nytt paradigm för samskapande mellan människa och AI, byggt på resonans snarare än kontroll.Version 1.5 är en strukturell demonstrationsversion som visar modellens arkitektur och metod, baserad på ett standardiserat JSON-format och ett reflekterande metodskikt för människa-maskin-interaktion.Ingen persondata ingår; materialet är framtaget för öppen och reproducerbar forskning.Utvecklad av Jörgen Almerborn (A. Vale) i samarbete med GPT-5, bidrar projektet till utvecklingen av en resonansbaserad AI-metodik och etiskt samskapande.
description: Independent research documenting the The Resonance Model (Resonansmodellen) for AI-human resonance models. Version 1.5 of the Resonance Model expands on the prior art reference (v1.2 & 1.1). Published as a public prior art reference. Main content in Swedish, supplementary in English.
description: English:



This dataset forms part of The Resonance Paradigm – an ongoing research initiative exploring human–AI co-creation, reflexivity, and resonance-based interaction models.Version 1.5 demonstrates the structural foundation of the Resonance Model for open research and reproducible experimentation.It is accompanied by reflective essays, technical documentation, and a conceptual framework connecting philosophy, systems theory, and AI methodology.

This dataset constitutes part of the documented research foundation of the Resonance Paradigm and serves as public prior art demonstrating the conceptual and structural development of the Resonance Model.


Svenska:



Detta dataset ingår i Resonansparadigmet – ett pågående forskningsinitiativ som utforskar samskapande mellan människa och AI, reflexivitet och resonansbaserade interaktionsmodeller.Version 1.5 visar modellens strukturella grund för öppen forskning och reproducerbara experiment.Datasetet åtföljs av reflekterande essäer, teknisk dokumentation och ett begreppsligt ramverk som förenar filosofi, systemteori och AI-metodik.

(Svensk version:)



Detta dataset utgör en dokumenterad forskningsgrund inom Resonansparadigmet och fungerar som offentlig prior art som visar den konceptuella och strukturella utvecklingen av Resonansmodellen.
DOI: 10.5281/zenodo.17337527
title: A Global Sub-Mesoscale Eddy Dataset Using Deep Learning Algorithms and Sentinel-3 Chlorophyll-a Data

description: This is an eddy dataset obtained by combining chlorophyll data from Sentinel-3 with a deep learning algorithm. It contains a large amount of information on numerous sub-mesoscale eddies, including the latitude and longitude of their centers and boundaries, as well as their radii and polarities. The eddy radius is measured in meters. Users can directly use Python to process this dataset.

The dataset will be continuously updated on my dashboard (now 2020.01.01-2022.12.31).

Access the dataset please contact us : Email 1294795765@qq.com
DOI: 10.5281/zenodo.17337526
title: A Global Sub-Mesoscale Eddy Dataset Using Deep Learning Algorithms and Sentinel-3 Chlorophyll-a Data

description: This is an eddy dataset obtained by combining chlorophyll data from Sentinel-3 with a deep learning algorithm. It contains a large amount of information on numerous sub-mesoscale eddies, including the latitude and longitude of their centers and boundaries, as well as their radii and polarities. The eddy radius is measured in meters. Users can directly use Python to process this dataset.

The dataset will be continuously updated on my dashboard (now 2020.01.01-2022.12.31).

Access the dataset please contact us : Email 1294795765@qq.com
DOI: 10.5281/zenodo.17707270
title: Dividend Investing Dataset 2024-2025 and K-Means Clustering Simulation

description: This dataset constitutes a compilation of quantitative data from a number of publicly listed companies on the Indonesia Stock Exchange (IDX) during the 2024–2025 period. The data were collected from various publicly available market reports and publications, then organized into a structured format to support machine-learning–based analytical processes, particularly unsupervised learning techniques employing the K-Means Clustering algorithm. The selection of the 2024–2025 timeframe aims to provide a contemporary representation of the performance and fundamental characteristics of publicly listed companies in Indonesia.

The variables included in this dataset consist of financial and operational indicators commonly used in corporate analysis, such as asset size, profitability levels, liquidity, capital structure, and business activity parameters. The construction of these variables was carried out with attention to cross-company consistency to ensure their usability for comparative clustering purposes. In addition, the dataset has undergone basic preprocessing procedures, including data cleaning, simple normalization, and missing-value inspection, thus making it ready for use as input data for various analytical experiments.

This repository also includes a Python script used to perform the K-Means Clustering simulation. The script covers several stages, ranging from dataset loading, variable transformation, K-Means model initialization, visualization of clustering results, to an initial interpretation of the emerging patterns. By providing this script, users may replicate the analytical process end-to-end, adjust parameters as needed, or use the dataset as a foundation for further research.

Both the dataset and the script are prepared for educational, research, and methodological demonstration purposes. The content is not intended to serve as a basis for investment decision-making or professional financial analysis. Accordingly, this repository functions as an open resource that may be utilized by academics, students, and practitioners interested in exploring the application of K-Means within the context of Indonesian corporate data.
DOI: 10.5281/zenodo.17707269
title: Dividend Investing Dataset 2024-2025 and K-Means Clustering Simulation

description: This dataset constitutes a compilation of quantitative data from a number of publicly listed companies on the Indonesia Stock Exchange (IDX) during the 2024–2025 period. The data were collected from various publicly available market reports and publications, then organized into a structured format to support machine-learning–based analytical processes, particularly unsupervised learning techniques employing the K-Means Clustering algorithm. The selection of the 2024–2025 timeframe aims to provide a contemporary representation of the performance and fundamental characteristics of publicly listed companies in Indonesia.

The variables included in this dataset consist of financial and operational indicators commonly used in corporate analysis, such as asset size, profitability levels, liquidity, capital structure, and business activity parameters. The construction of these variables was carried out with attention to cross-company consistency to ensure their usability for comparative clustering purposes. In addition, the dataset has undergone basic preprocessing procedures, including data cleaning, simple normalization, and missing-value inspection, thus making it ready for use as input data for various analytical experiments.

This repository also includes a Python script used to perform the K-Means Clustering simulation. The script covers several stages, ranging from dataset loading, variable transformation, K-Means model initialization, visualization of clustering results, to an initial interpretation of the emerging patterns. By providing this script, users may replicate the analytical process end-to-end, adjust parameters as needed, or use the dataset as a foundation for further research.

Both the dataset and the script are prepared for educational, research, and methodological demonstration purposes. The content is not intended to serve as a basis for investment decision-making or professional financial analysis. Accordingly, this repository functions as an open resource that may be utilized by academics, students, and practitioners interested in exploring the application of K-Means within the context of Indonesian corporate data.
DOI: 10.5281/zenodo.17707342
title: SARS-CoV-2 Infektionen in Deutschland

description: Im Datensatz "SARS-CoV-2 Infektionen in Deutschland" des Robert Koch-Instituts werden die Daten basierend auf Meldungen zu SARS-CoV-2 Infektionen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Darin enthalten sind Informationen auf Landkreisebene zu bestätigten Infektionen, Todesfällen und Genesungen, differenziert nach Altersgruppen und Geschlecht. Diese Daten dienen als Grundlage für epidemiologische Bewertungen und gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.17700451
title: Resonansmodellen 2.0

description: Version 2.0 av Resonansmodellen är den kanoniska och rekommenderade forskningsversionen.

Den här versionen är genomgripande rensad från allt som inte tillhör resonansmodellen.Kvar finns endast det forskningsrelevanta materialet:





resonanslager




väsendefilosofi




begreppsstrukturer




essäer och meta-texter




stabiliseringsmoduler




metodbilagor (inkl. SPRE och GRT-13)



Version 2.0 ersätter alla tidigare versioner som den dataset som ska användas för forskning, analys och reproduktion.Äldre versioner (v1.x) finns kvar endast för historisk spårbarhet och bör inte användas i studier.

Languages: Swedish (primary), English (supplementary)License: Creative Commons Attribution 4.0 International (CC BY 4.0)Funding: This research was self-funded by the author without external financial support.

Checksum (SHA-256) för det publicerade ZIP-paketet:







 



64c0ec4ad5078bda1ca00f6ffcf36570868604737129bf902f936fdefd3875db


Detta värde kan användas för att verifiera att datasetet är intakt och oförändrat efter nedladdning.
DOI: 10.5281/zenodo.16792811
title: Resonansmodellen 2.0

description: Version 2.0 av Resonansmodellen är den kanoniska och rekommenderade forskningsversionen.

Den här versionen är genomgripande rensad från allt som inte tillhör resonansmodellen.Kvar finns endast det forskningsrelevanta materialet:





resonanslager




väsendefilosofi




begreppsstrukturer




essäer och meta-texter




stabiliseringsmoduler




metodbilagor (inkl. SPRE och GRT-13)



Version 2.0 ersätter alla tidigare versioner som den dataset som ska användas för forskning, analys och reproduktion.Äldre versioner (v1.x) finns kvar endast för historisk spårbarhet och bör inte användas i studier.

Languages: Swedish (primary), English (supplementary)License: Creative Commons Attribution 4.0 International (CC BY 4.0)Funding: This research was self-funded by the author without external financial support.

Checksum (SHA-256) för det publicerade ZIP-paketet:







 



64c0ec4ad5078bda1ca00f6ffcf36570868604737129bf902f936fdefd3875db


Detta värde kan användas för att verifiera att datasetet är intakt och oförändrat efter nedladdning.
DOI: 10.15468/dl.z73a5x
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cypripedium japonicum"
 ]
}

 The dataset includes 66 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024705-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hubtm
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Inga vera",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024706-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29946473
title: Extended Data Fig. 2f - 2'2' cA2 (ORB67694)

description: Extended Data Fig. 2f - 2'2' cA2 (ORB67694)
DOI: 10.6084/m9.figshare.29946473.v1
title: Extended Data Fig. 2f - 2'2' cA2 (ORB67694)

description: Extended Data Fig. 2f - 2'2' cA2 (ORB67694)
DOI: 10.5281/zenodo.15363759
title: NMR of "A suspected failed synthesis of the Polymer DPPH-TT"

description: See https://www.youtube.com/watch?v=Y1uA64k3AH4
DOI: 10.5281/zenodo.15363758
title: NMR of "A suspected failed synthesis of the Polymer DPPH-TT"

description: See https://www.youtube.com/watch?v=Y1uA64k3AH4
DOI: 10.5281/zenodo.15473381
title: NMR of "A suspected failed synthesis of the Polymer DPPH-TT"

description: See https://www.youtube.com/watch?v=Y1uA64k3AH4
DOI: 10.15468/dl.ppjq8p
title: Occurrence Download

description: A dataset containing 126 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 Afroaster hispidus (Thunb.) J.C.Manning & Goldblatt",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 126 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010658-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qusv57
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049409-250811113504898/datasets/export for details.
DOI: 10.15468/dl.wu88zk
title: Occurrence Download

description: A dataset containing 13226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus alba"
 ]
}

 The dataset includes 13226 records from 432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049407-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a9w4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acipenser fulvescens",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031435-251025141854904/datasets/export for details.
DOI: 10.15468/dl.vqsqny
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonia mydas"
 ]
}

 The dataset includes 251 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031436-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjkzwc
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonia mydas"
 ]
}

 The dataset includes 251 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031437-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25skem
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "TaxonKey is Chelonia mydas"
 ]
}

 The dataset includes 251 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031440-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.