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

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus omoglaux Thomas, 1982)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046559-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buhw5c
title: Occurrence Download

description: A dataset containing 1737 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceriodaphnia quadrangula (O.F.Müller, 1785)"
 ]
}

 The dataset includes 1737 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115338-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxe63d
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amorphochilus schnablii Peters, 1877"
 ]
}

 The dataset includes 208 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046570-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10987603
title: Interpretable and integrative deep learning for discovering brain-behaviour associations

description: This record contains the data of the paper "Interpretable and integrative deep learning for discovering brain-behaviour associations". In this paper, we employ a digital avatar procedure as an interpretability module capable of reporting the relationships learned within a multi-view variational autoencoder. We integrate this procedure into a novel framework that utilises stability selection to identify meaningful and reproducible associations between brain imaging and behaviour.
DOI: 10.5281/zenodo.10987604
title: Interpretable and integrative deep learning for discovering brain-behaviour associations

description: This record contains the data of the paper "Interpretable and integrative deep learning for discovering brain-behaviour associations". In this paper, we employ a digital avatar procedure as an interpretability module capable of reporting the relationships learned within a multi-view variational autoencoder. We integrate this procedure into a novel framework that utilises stability selection to identify meaningful and reproducible associations between brain imaging and behaviour.
DOI: 10.15468/dl.turptp
title: Occurrence Download

description: A dataset containing 303846 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smilax L."
 ]
}

 The dataset includes 303846 records from 1233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046575-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve6fe6
title: Occurrence Download

description: A dataset containing 1157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euterpe edulis Mart.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1157 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002048-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux2cgm
title: Occurrence Download

description: A dataset containing 25333 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Western Palearctic migratory birds in continental Africa"
 ]
}

 The dataset includes 25333 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002049-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54e2hx
title: Occurrence Download

description: A dataset containing 0 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 one of (Marmoritis pharica (Prain) H.W.Li, 1993)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002050-241125135418005/datasets/export for details.
DOI: 10.15468/dl.ykxx4a
title: Occurrence Download

description: A dataset containing 2698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raphia P.Beauv.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2698 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002047-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14222201
title: FAIRification des Datensatzes "lissoirs" aus dem Volp Höhlen-Projekt der Forschungsstelle Felsbildarchäologie der FAU Erlangen im Zuge des NFDI4Objects Dataships 2024.

description: Im Zuge des NFDI4Objects Dataship Grants wird hier der Datensatz veröffentlich, der im Jahr 2022 für die Masterarbeit von Cornelia Lechner an der FAU Erlangen-Nürnberg erstellt wurde. Dargelegt wird sowohl das Aufnahmesystem für die Merkamlsanalyse der lissoirs, einem wichtigen paläolithischen Werkzeug-Typ, sowie die Daten der 292 untersuchten lissoirs aus Enlène, Département Ariège, Frankreich.
DOI: 10.5281/zenodo.14222202
title: FAIRification des Datensatzes "lissoirs" aus dem Volp Höhlen-Projekt der Forschungsstelle Felsbildarchäologie der FAU Erlangen im Zuge des NFDI4Objects Dataships 2024.

description: Im Zuge des NFDI4Objects Dataship Grants wird hier der Datensatz veröffentlich, der im Jahr 2022 für die Masterarbeit von Cornelia Lechner an der FAU Erlangen-Nürnberg erstellt wurde. Dargelegt wird sowohl das Aufnahmesystem für die Merkamlsanalyse der lissoirs, einem wichtigen paläolithischen Werkzeug-Typ, sowie die Daten der 292 untersuchten lissoirs aus Enlène, Département Ariège, Frankreich.
DOI: 10.15468/dl.nyt57b
title: Occurrence Download

description: A dataset containing 907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii H.E.Moore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 907 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002051-241125135418005/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.25795390.v1
title: Family associations in a breeding colony of Critically Endangered Hooded Vulture (Necrosyrtes monachus) in the Lowveld of South Africa.xlsx

description: This is the dataset used to write my manuscript Family associations in a breeding colony of Critically Endangered Hooded Vulture (Necrosyrtes monachus) in the Lowveld of South Africa.
DOI: 10.6084/m9.figshare.25795390
title: Family associations in a breeding colony of Critically Endangered Hooded Vulture (Necrosyrtes monachus) in the Lowveld of South Africa.xlsx

description: This is the dataset used to write my manuscript Family associations in a breeding colony of Critically Endangered Hooded Vulture (Necrosyrtes monachus) in the Lowveld of South Africa.
DOI: 10.15468/dl.jtrd3b
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Shorea siamensis (Kurz) Miq."
 ]
}

 The dataset includes 939 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002052-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77u7wz
title: Occurrence Download

description: A dataset listing the 7358 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Burkina Faso"
 ]
}

 The dataset's 7358 records were derived from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002031-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pf2t4
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "TaxonKey is Psittaciformes"
 ]
}

 The dataset includes 303 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002053-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au7u7j
title: Occurrence Download

description: A dataset containing 16 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 one of (Marmoritis nivalis (Benth.) Hedge)"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002054-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptted7
title: Occurrence Download

description: A dataset containing 861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Viet Nam, Myanmar)",
 "TaxonKey is Acer amplum Rehder"
 ]
}

 The dataset includes 861 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002055-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.675xvf
title: Occurrence Download

description: A dataset containing 3 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 one of (Marmoritis decolorans (Hemsl.) H.W.Li)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002058-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyvf7k
title: Occurrence Download

description: A dataset containing 4437175 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Czechia"
 ]
}

 The dataset includes 4437175 records from 1115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001939-241125135418005/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa9dau
title: Occurrence Download

description: A dataset containing 8980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 0,-60 0,-60 30,-90 30,-90 0))"
 ]
}

 The dataset includes 8980 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054538-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmd74x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnophiona)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 -60,-150 -60,-150 -30,-180 -30,-180 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054542-250920141307145/datasets/export for details.
DOI: 10.15468/dl.9sjhb2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 0,-120 0,-120 30,-150 30,-150 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054541-250920141307145/datasets/export for details.
DOI: 10.15468/dl.hyve3f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnophiona)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((150 -30,180 -30,180 0,150 0,150 -30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054540-250920141307145/datasets/export for details.
DOI: 10.26023/9fz4-vf5f-wx0d
title: Perdigao: Spain High Resolution Radiosonde Data. Version 1.0

description: This data set contains the high vertical resolution (2-second) radiosonde data from Spain during the Perdigao project. Data are included from four stations in Spain for the period 1 December 2016 to 7 July 2017 (there is a gap in the data from 10-28 December 2016). The stations typically released soundings at 00 and or 12 UTC. These data are in BUFR format.
DOI: 10.15468/dl.edvek8
title: Occurrence Download

description: A dataset containing 1527 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera elongata"
 ]
}

 The dataset includes 1527 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054543-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw9hst
title: Occurrence Download

description: A dataset containing 13709 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 0,-90 0,-90 30,-120 30,-120 0))"
 ]
}

 The dataset includes 13709 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054539-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.1819.6002
title: 160+ articles - environmental sciences, life sciences; https://www.researchgate.net/publication/274721711;
DOI: 10.6084/m9.figshare.30287758
title: The Twin Prime Conjecture: A Deterministic Proof (Submitted for Peer Review)

description: This manuscript presents a <b>deterministic and unconditional proof of the Twin Prime Conjecture</b>, resolving one of the most enduring problems in analytic number theory. The work introduces a novel <b>Entropy–Curvature Modular Integration (ECMI)</b> framework that unites sieve theory, spectral analysis, and geometric entropy methods to eliminate the long-standing <b>parity barrier</b> obstructing twin prime proofs.By interpreting the oscillations of the Liouville function as curvature noise within an entropy-geometric manifold, the authors demonstrate that parity cancellation localizes naturally on short “collapse bands,” where entropy curvature flattens. Within these zones, classical bilinear Type I/II estimates and large-sieve dispersion blocks yield positive density bands supporting true twin pairs. The approach bypasses reliance on deep conjectural assumptions such as the Bombieri–Vinogradov or Elliott–Halberstam hypotheses.A bounded self-adjoint <b>Twin Collapse Operator</b> is then constructed over these entropy-flat zones, linking the analytic framework to a spectral formulation in the spirit of Hilbert–Pólya. The Rayleigh–Ritz and Courant–Fischer principles guarantee infinitely many positive eigenvalues, confirming infinite recurrence of twin primes.Empirical verification is performed against the billion-scale datasets of Oliveira e Silva, Pérez, and Pande, where the predicted bandwise counts match observed distributions at integer precision. The paper provides full proofs, operator definitions, and computational validations, forming a rigorous bridge between classical sieve methods and modern spectral geometry.This peer-review submission represents a convergence of analytic number theory and structured geometric reasoning—offering what may be the first fully deterministic and verifiable resolution of the Twin Prime Conjecture.
DOI: 10.6084/m9.figshare.30287758.v1
title: The Twin Prime Conjecture: A Deterministic Proof (Submitted for Peer Review)

description: This manuscript presents a <b>deterministic and unconditional proof of the Twin Prime Conjecture</b>, resolving one of the most enduring problems in analytic number theory. The work introduces a novel <b>Entropy–Curvature Modular Integration (ECMI)</b> framework that unites sieve theory, spectral analysis, and geometric entropy methods to eliminate the long-standing <b>parity barrier</b> obstructing twin prime proofs.By interpreting the oscillations of the Liouville function as curvature noise within an entropy-geometric manifold, the authors demonstrate that parity cancellation localizes naturally on short “collapse bands,” where entropy curvature flattens. Within these zones, classical bilinear Type I/II estimates and large-sieve dispersion blocks yield positive density bands supporting true twin pairs. The approach bypasses reliance on deep conjectural assumptions such as the Bombieri–Vinogradov or Elliott–Halberstam hypotheses.A bounded self-adjoint <b>Twin Collapse Operator</b> is then constructed over these entropy-flat zones, linking the analytic framework to a spectral formulation in the spirit of Hilbert–Pólya. The Rayleigh–Ritz and Courant–Fischer principles guarantee infinitely many positive eigenvalues, confirming infinite recurrence of twin primes.Empirical verification is performed against the billion-scale datasets of Oliveira e Silva, Pérez, and Pande, where the predicted bandwise counts match observed distributions at integer precision. The paper provides full proofs, operator definitions, and computational validations, forming a rigorous bridge between classical sieve methods and modern spectral geometry.This peer-review submission represents a convergence of analytic number theory and structured geometric reasoning—offering what may be the first fully deterministic and verifiable resolution of the Twin Prime Conjecture.
DOI: 10.25392/leicester.data.22241338
title: AMPERE R1/R2 FAC radii v2

description: Circle fits to the boundary between region 1 and 2 field-aligned currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) in the northern and southern hemispheres.  Version 2 with newly processed AMPERE data and more years.
DOI: 10.25392/leicester.data.22241338.v4
title: AMPERE R1/R2 FAC radii v2

description: Circle fits to the boundary between region 1 and 2 field-aligned currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) in the northern and southern hemispheres.  Version 2 with newly processed AMPERE data and more years.
DOI: 10.25392/leicester.data.22241338.v3
title: AMPERE R1/R2 FAC radii v2

description: Circle fits to the boundary between region 1 and 2 field-aligned currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) in the northern and southern hemispheres.  Version 2 with newly processed AMPERE data and more years.
DOI: 10.5281/zenodo.17280449
title: ROR Data

description: Data dump from the Research Organization Registry (ROR), a community-led registry of open identifiers for research organizations.

Release v1.72 contains ROR IDs and metadata for 119,173 research organizations in JSON and CSV format, in schema versions 1 and 2. This includes the addition of 124 new records and metadata updates to 538 existing records. See the release notes.

Data format

Beginning with release v1.45 on 11 April 2024, data releases contain JSON and CSV files formatted according to both  schema v1 and schema v2. v2 files have `_schema_v2` appended to the end of the filename, ex v1.45-2024-04-11-ror-data_schema_v2.json. In order to maintain compatibility with previous releases, v1 files have no version information in the filename, ex v1.45-2024-04-11-ror-data.json

For both versions, the CSV file contains a subset of fields from the JSON file, some of which have been flattened for easier parsing. As ROR records and the ROR schema are maintained in JSON, CSVs are for convenience only. JSON is the format of record.

Release versioning

Beginning with v1.45 in April 2024, ROR has introduced schema versioning, with files available in schema v1 and schema v2. The ROR API default version, however, remains v1 and will be changed to v2 in April 2025. To align with the API, the data dump major version will remain 1 until the API default version is changed to v2. At that time, the data dump major version will be incremented to 2 per below.

Data releases are versioned as follows:



Minor versions (ex 1.1, 1.2, 1.3):  Contain changes to data, such as a new records and updates to existing records. No changes to the data model/structure.

Patch versions (ex 1.0.1):  Used infrequently to correct errors in a release. No changes to the data model/structure.

Major versions (ex 1.x, 2.x, 3.x):  Contains changes to data model/structure, as well as the data itself. Major versions will be released with significant advance notice.


For convenience, the date is also include in the release file name, ex: v1.0-2022-03-15-ror-data.zip.

The ROR data dump is provided under the  Creative Commons CC0 Public Domain Dedication. Location data in ROR comes from GeoNames and is licensed under a Creative Commons Attribution 4.0 license.
DOI: 10.5281/zenodo.17254723
title: MD Simulation Data Upload – LC8/Ebola

description: Naming convention: {PDB ID}{bound state abbr.}{peptide length}_{LC8 species}{number of residues per monomer}_{MD simulation time}_md{replicate}_dt{time step between frames in ps}. For example, "7D35s8_dros89_1us_md1_dt200" is a single replicate (out of three) 178-residue LC8 homodimer singly bound to an 8-residue peptide for a 1µs trajectory strided at 200ps.

A single peptide unbinding event was observed in the 7D35s8_dros89_1us_md2_dt200 trajectory