cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7d9dzx
title: Occurrence Download

description: A dataset containing 4533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampropeltis holbrooki"
 ]
}

 The dataset includes 4533 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028355-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/a2aa4b75-d277-4985-b809-7ee41fc57b7b
title: Experimental data on the healing behavior of rock salt fractures with different surface roughness.

description: Shear Strength Recovery and Sliding Behavior of Healed Rock Salt Fractures: This dataset contains experimental data from shear box tests conducted on rock salt samples with artificial fractures with different initial roughness levels that were allowed to heal under dry or wet (saturated brine) conditions. The dataset includes mechanical data from shear box tests as well as microstructural data obtained through digital microscopy and micro-computed tomography (micro-CT).
DOI: 10.4121/a2aa4b75-d277-4985-b809-7ee41fc57b7b.v1
title: Experimental data on the healing behavior of rock salt fractures with different surface roughness.

description: Shear Strength Recovery and Sliding Behavior of Healed Rock Salt Fractures: This dataset contains experimental data from shear box tests conducted on rock salt samples with artificial fractures with different initial roughness levels that were allowed to heal under dry or wet (saturated brine) conditions. The dataset includes mechanical data from shear box tests as well as microstructural data obtained through digital microscopy and micro-computed tomography (micro-CT).
DOI: 10.15468/dl.swqp3e
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leptochilus wrightii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1031 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028358-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkp5mh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca undata",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028361-250920141307145/datasets/export for details.
DOI: 10.4121/6aee6bff-524d-48cf-afe2-0a1f3fbaf2c4
title: Experimental dataset on dissolution and transport process in rock salt fractures

description: This dataset contains experimental data on dissolution and transport processes in rock salt fractures. It includes MATLAB code for processing raw camera images and for calculating reaction surface area from micro-CT scans. The data enable quantification of fracture geometry evolution and reaction surface area, providing a foundation for studying fracture dissolution dynamics.
DOI: 10.4121/6aee6bff-524d-48cf-afe2-0a1f3fbaf2c4.v1
title: Experimental dataset on dissolution and transport process in rock salt fractures

description: This dataset contains experimental data on dissolution and transport processes in rock salt fractures. It includes MATLAB code for processing raw camera images and for calculating reaction surface area from micro-CT scans. The data enable quantification of fracture geometry evolution and reaction surface area, providing a foundation for studying fracture dissolution dynamics.
DOI: 10.15468/dl.uz9esq
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Aristolochia kaempferi)"
 ]
}

 The dataset includes 540 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028362-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbfcjv
title: Occurrence Download

description: A dataset containing 937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euonymus fortunei",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 937 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028364-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za5ffv
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neomys anomalus)",
 "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 1214 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028363-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dn7um
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euonymus fortunei",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 841 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028365-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ws4dp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euonymus fortunei",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028366-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8y82j
title: Occurrence Download

description: A dataset containing 1340622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2017-2025"
 ]
}

 The dataset includes 1340622 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028311-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55xrh6
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pantholops hodgsonii",
 "Year 1975-2025"
 ]
}

 The dataset includes 51 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028367-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5f5vu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca ruppeli",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028370-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zk5few
title: Occurrence Download

description: A dataset containing 1353 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Aristolochia sempervirens)"
 ]
}

 The dataset includes 1353 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028371-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7n6yvw
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microsorum membranaceum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028368-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr3v48
title: Occurrence Download

description: A dataset containing 11920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neomys fodiens)",
 "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 11920 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028372-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8xfat
title: Occurrence Download

description: A dataset containing 11920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neomys fodiens)",
 "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 11920 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028373-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17222400
title: RNA-SyntHub

description: The structural diversity of RNA plays a pivotal role in molecular medicine, RNA-targeted drug discovery, and synthetic biology, where engineered RNA molecules are increasingly applied in therapeutic, regulatory, and nanotechnology contexts. The rapid development of deep learning methods has further increased the demand for large and diverse structural datasets; however, while protein datasets are abundant, high-quality RNA data remain scarce. Synthetic RNA structure datasets provide a means to alleviate this limitation by enabling the large-scale exploration of conformational space; however, their practical use requires careful curation and validation to ensure reliability. To address this challenge, we present a pipeline specifically designed for the systematic construction of curated synthetic RNA datasets. The workflow makes use of data provided by multiple structure generation approaches and integrates them with a meta-scoring function that discriminates low-quality models and extracts high-confidence candidates. As a proof of concept, we applied this method to a dataset of 447,402 synthetic RNA structures, obtaining a curated set of approximately 16,000 models, further complemented with predictions from Boltz-1 and RNAComposer. This study introduces both a methodological framework for making synthetic RNA datasets usable in computational research and a concrete dataset that can directly support deep learning applications and the advancement of RNA design in synthetic biology and nanotechnology.
DOI: 10.6084/m9.figshare.30069037
title: <b>Beyond Facts and Values:</b>Research Stack for the Dual-Order Framework

description: This work has been significantly expanded and updated. Please see the complete and most current version titled <b>‘The Dual-Order Framework: A Unified Scientific Model for Physical and Relational Resilience’ </b>here: https://doi.org/10.6084/m9.figshare.30193060This research introduces the <b>Dual-Order Framework</b>, a unified model linking the physical laws of nature (<b>L_P</b>) with the relational principles that govern societal stability and flourishing (<b>L_R</b>).Building on centuries of debate surrounding <b>Hume’s Guillotine</b> and the <b>fact-value problem</b>, this framework proposes the <b>Covenant Law of Benevolence</b> as a universal probabilistic principle that operates alongside natural law.Using cross-cultural datasets such as the <b>World Values Survey</b>, <b>Transparency International CPI</b>, and <b>Political Terror Scale</b>, the framework defines measurable thresholds for trust, cooperation, and governance. It offers testable predictions — including a unique hypothesis of <b>nonlinear societal collapse</b> triggered by sustained relational breakdown, even when physical resources remain stable.For a reader-friendly introduction and context, see the full article:<br>Beyond Facts and Values: A New Approach to Solving the Is-Ought ProblemThis research is designed as a <b>baseline for interdisciplinary collaboration</b>, predictive modeling, and future academic inquiry.
DOI: 10.6084/m9.figshare.30069037.v2
title: <b>Beyond Facts and Values:</b>Research Stack for the Dual-Order Framework

description: This work has been significantly expanded and updated. Please see the complete and most current version titled <b>‘The Dual-Order Framework: A Unified Scientific Model for Physical and Relational Resilience’ </b>here: https://doi.org/10.6084/m9.figshare.30193060This research introduces the <b>Dual-Order Framework</b>, a unified model linking the physical laws of nature (<b>L_P</b>) with the relational principles that govern societal stability and flourishing (<b>L_R</b>).Building on centuries of debate surrounding <b>Hume’s Guillotine</b> and the <b>fact-value problem</b>, this framework proposes the <b>Covenant Law of Benevolence</b> as a universal probabilistic principle that operates alongside natural law.Using cross-cultural datasets such as the <b>World Values Survey</b>, <b>Transparency International CPI</b>, and <b>Political Terror Scale</b>, the framework defines measurable thresholds for trust, cooperation, and governance. It offers testable predictions — including a unique hypothesis of <b>nonlinear societal collapse</b> triggered by sustained relational breakdown, even when physical resources remain stable.For a reader-friendly introduction and context, see the full article:<br>Beyond Facts and Values: A New Approach to Solving the Is-Ought ProblemThis research is designed as a <b>baseline for interdisciplinary collaboration</b>, predictive modeling, and future academic inquiry.
DOI: 10.6084/m9.figshare.30069037.v1
title: <b>Beyond Facts and Values:</b> Research Stack for the Dual-Order Framework

description: This research introduces the <b>Dual-Order Framework</b>, a unified model linking the physical laws of nature (<b>L_P</b>) with the relational principles that govern societal stability and flourishing (<b>L_R</b>).Building on centuries of debate surrounding <b>Hume’s Guillotine</b> and the <b>fact-value problem</b>, this framework proposes the <b>Covenant Law of Benevolence</b> as a universal probabilistic principle that operates alongside natural law.Using cross-cultural datasets such as the <b>World Values Survey</b>, <b>Transparency International CPI</b>, and <b>Political Terror Scale</b>, the framework defines measurable thresholds for trust, cooperation, and governance. It offers testable predictions — including a unique hypothesis of <b>nonlinear societal collapse</b> triggered by sustained relational breakdown, even when physical resources remain stable.For a reader-friendly introduction and context, see the full article:<br>Beyond Facts and Values: A New Approach to Solving the Is-Ought ProblemThis research is designed as a <b>baseline for interdisciplinary collaboration</b>, predictive modeling, and future academic inquiry.
DOI: 10.15468/dl.qs5pxq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euonymus fortunei",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028374-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3pses
title: Occurrence Download

description: A dataset listing the 4070823 species recorded in GBIF matching the query:
{ }

 The dataset's 4070823 records were derived from 76647 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028334-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsnvmu
title: Occurrence Download

description: A dataset containing 70217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagus sylvatica",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material sample)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 70217 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028315-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqsjac
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oedipina salvadorensis Rand, 1952"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005009-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.terwwg
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araujia stuckertiana (Kurtz ex Heger) Fontella & Goyder"
 ]
}

 The dataset includes 135 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043802-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99nzx4
title: Occurrence Download

description: A dataset containing 104720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is AUS.7_1",
 "Geometry POLYGON((145.48835 -18.82872,146.20421 -18.82872,146.20421 -18.35625,145.48835 -18.35625,145.48835 -18.82872))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 104720 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264773-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vvcvs
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Davallia chrysanthemifolia Hayata"
 ]
}

 The dataset includes 74 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022994-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qaccsd
title: Occurrence Download

description: A dataset containing 7502381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1880-2023"
 ]
}

 The dataset includes 7502381 records from 2433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264783-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188307.10fu
title: SH0188307.10FU

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: 10.15156/bio/sh0188308.10fu
title: SH0188308.10FU

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.