cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0172172.10fu
title: SH0172172.10FU

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/sh0172173.10fu
title: SH0172173.10FU

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/sh0172174.10fu
title: SH0172174.10FU

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/sh0172175.10fu
title: SH0172175.10FU

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/sh0172176.10fu
title: SH0172176.10FU

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/sh0172177.10fu
title: SH0172177.10FU

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/sh0172178.10fu
title: SH0172178.10FU

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/sh0172179.10fu
title: SH0172179.10FU

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: 10.17632/pbrwndtpcb
title: Lithium Futures and Economic Data

description: These spreadsheets list tickers and date ranges for lithium futures and economic data analyzed in the manuscript titled 'Explaining and Predicting Conditional Volatility in Lithium Markets: Climate Policy Uncertainty, Supply Chain Stress, and Hybrid Modeling.' 

As the data are from Bloomberg Terminal, we are unable to publicly deposit the original dataset due to licensing restrictions. However, we provide spreadsheets containing tickers and dates to enable researchers with Bloomberg Terminal access to replicate our results.
DOI: 10.17632/pbrwndtpcb.1
title: Lithium Futures and Economic Data

description: These spreadsheets list tickers and date ranges for lithium futures and economic data analyzed in the manuscript titled 'Explaining and Predicting Conditional Volatility in Lithium Markets: Climate Policy Uncertainty, Supply Chain Stress, and Hybrid Modeling.' 

As the data are from Bloomberg Terminal, we are unable to publicly deposit the original dataset due to licensing restrictions. However, we provide spreadsheets containing tickers and dates to enable researchers with Bloomberg Terminal access to replicate our results.
DOI: 10.17632/g4n3kckrm2
title: Dam Safety Telemetry System (DSTS)

description: Dam Safety Telemetry System (DSTS): A Universal Framework for Evidentiary Hydrologic Verification

The Dam Safety Telemetry System (DSTS) constitutes the canonical software and evidentiary implementation of the Universal Framework for Sediment, Scour, and Internal Erosion Risk in Hydroelectric Dams. Developed as part of the doctoral dissertation A Universal Framework for Sediment, Scour, and Internal Erosion Risk in Hydroelectric Dams — Systems Modeling and Application to the Medog Hydropower Station, DSTS integrates the methodologies of Harvard Law School’s foreseeability doctrine and the MIT School of Engineering’s reproducibility standards into a unified system of computational accountability.

Architecturally, DSTS establishes a complete telemetry and verification chain extending from field sensor acquisition to legal evidentiary record, ensuring that every hydraulic, geotechnical, and ecological data point is both scientifically reproducible and legally discoverable. Each observation is encoded as a Universal Telemetry Packet (UTP)—a machine-verifiable JSON schema containing deterministic metadata (packet ID, station ID, timestamp UTC, payload hash, firmware signature)—and linked through a SHA-256 hash chain to preserve evidentiary continuity.

For MIT, DSTS represents a benchmark in reproducible systems engineering:

- Modular architecture (Edge → Core → Audit → UI) enabling deterministic data flow;
- Verifiable software supply chain through containerized deployments and SBOM-signed builds;
- Probabilistic calibration algorithms aligned with USACE and ISO 9001 traceability standards.

For the Harvard Law perspective, DSTS transforms foreseeability into an enforceable legal construct. By rendering risk data immutable, time-stamped, and cross-verifiable, it fulfills the standard articulated in Corfu Channel (United Kingdom v. Albania) (1949 I.C.J. 4): that a state bears responsibility for hazards it knew—or ought to have known—and for failing to act upon verifiable knowledge. DSTS thus bridges engineering certainty and juridical accountability, ensuring that data integrity is no longer advisory but compulsory.

Appendix G of the dissertation serves as the Technical Manual for DSTS, defining its operational subsystems, data contracts, calibration manifests, and hash-chain verification protocols. It codifies how the DSTS enforces the Foreseeability Doctrine through open, machine-readable telemetry chains, providing a reference model that any sovereign authority may deploy to satisfy both domestic dam-safety mandates and international legal obligations under the no-harm principle.

Through DSTS, law and engineering converge: the system stands as the first operational embodiment of evidentiary hydrologic verification—a paradigm where duty of care is measurable, reproducibility is enforceable, and truth is computationally demonstrable.
DOI: 10.17632/g4n3kckrm2.1
title: Dam Safety Telemetry System (DSTS)

description: Dam Safety Telemetry System (DSTS): A Universal Framework for Evidentiary Hydrologic Verification

The Dam Safety Telemetry System (DSTS) constitutes the canonical software and evidentiary implementation of the Universal Framework for Sediment, Scour, and Internal Erosion Risk in Hydroelectric Dams. Developed as part of the doctoral dissertation A Universal Framework for Sediment, Scour, and Internal Erosion Risk in Hydroelectric Dams — Systems Modeling and Application to the Medog Hydropower Station, DSTS integrates the methodologies of Harvard Law School’s foreseeability doctrine and the MIT School of Engineering’s reproducibility standards into a unified system of computational accountability.

Architecturally, DSTS establishes a complete telemetry and verification chain extending from field sensor acquisition to legal evidentiary record, ensuring that every hydraulic, geotechnical, and ecological data point is both scientifically reproducible and legally discoverable. Each observation is encoded as a Universal Telemetry Packet (UTP)—a machine-verifiable JSON schema containing deterministic metadata (packet ID, station ID, timestamp UTC, payload hash, firmware signature)—and linked through a SHA-256 hash chain to preserve evidentiary continuity.

For MIT, DSTS represents a benchmark in reproducible systems engineering:

- Modular architecture (Edge → Core → Audit → UI) enabling deterministic data flow;
- Verifiable software supply chain through containerized deployments and SBOM-signed builds;
- Probabilistic calibration algorithms aligned with USACE and ISO 9001 traceability standards.

For the Harvard Law perspective, DSTS transforms foreseeability into an enforceable legal construct. By rendering risk data immutable, time-stamped, and cross-verifiable, it fulfills the standard articulated in Corfu Channel (United Kingdom v. Albania) (1949 I.C.J. 4): that a state bears responsibility for hazards it knew—or ought to have known—and for failing to act upon verifiable knowledge. DSTS thus bridges engineering certainty and juridical accountability, ensuring that data integrity is no longer advisory but compulsory.

Appendix G of the dissertation serves as the Technical Manual for DSTS, defining its operational subsystems, data contracts, calibration manifests, and hash-chain verification protocols. It codifies how the DSTS enforces the Foreseeability Doctrine through open, machine-readable telemetry chains, providing a reference model that any sovereign authority may deploy to satisfy both domestic dam-safety mandates and international legal obligations under the no-harm principle.

Through DSTS, law and engineering converge: the system stands as the first operational embodiment of evidentiary hydrologic verification—a paradigm where duty of care is measurable, reproducibility is enforceable, and truth is computationally demonstrable.
DOI: 10.17632/cyn7zcp55k
title: Floodplain restoration and winter green cover enhance whole-stream metabolism in a midwestern USA agricultural watershed

description: Coding scripts and data files associated with Vincent et al - Floodplain restoration and winter green cover enhance whole-stream metabolism in a midwestern USA agricultural watershed
DOI: 10.17632/cyn7zcp55k.1
title: Floodplain restoration and winter green cover enhance whole-stream metabolism in a midwestern USA agricultural watershed

description: Coding scripts and data files associated with Vincent et al - Floodplain restoration and winter green cover enhance whole-stream metabolism in a midwestern USA agricultural watershed
DOI: 10.17632/ck6r4dmgcz
title: A pharmacokinetic study on the intralesional administration of methotrexate in patients with nail psoriasis.

description: This dataset contains supplementary methods and results for the article "A pharmacokinetic study on the intralesional administration of methotrexate in patients with nail psoriasis.", submitted to Journal of American Academy of Dermatology .
DOI: 10.15468/dl.c848v6
title: Occurrence Download

description: A dataset containing 22063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Abies concolor, Abies homolepis)"
 ]
}

 The dataset includes 22063 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002934-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.26890.26562
title: Екологија и стопанисување со шумите во регионот по горниот тек на Брегалница (Малеш)
DOI: 10.17026/dans-zqz-53zh
title: Trauma & Resilience: 33InterviewJ1G1
title: Trauma & Resilience: Intergenerational Holocaust research from an existential perspective

description: &lt;p&gt;Respondent J1G1 zat tijdens de oorlog als zeer jong kind ondergedoken; veel van zijn familieleden zijn vermoord. Hij geeft aan dat de Holocaust geen rol speelt in zijn leven. Wel heeft hij enige tijd in Israël gewoond en beschrijft hij zijn leven als ‘leven in reservetijd’. Met moeilijke situaties (bijv. rondom zijn gezondheid) gaat hij om door ‘gewoon door te gaan’; het heeft volgens hem geen zin lang bij lastige zaken stil te staan.&lt;/p&gt;
DOI: 10.15468/dl.7kaphr
title: Occurrence Download

description: A dataset containing 6085 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leea guineensis"
 ]
}

 The dataset includes 6085 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034503-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3c5bs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Erithacus rubecula)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034505-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3510018701-fra
title: Indice de gravité de la criminalité et taux de classement pondéré, services de police au Québec

description: Indice de gravité de la criminalité (avec violence, sans violence, jeunes) et taux de classement pondéré (avec violence, sans violence), services de police au Québec, 1998 à 2024.
DOI: 10.15468/dl.pr8tfa
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Erithacus rubecula)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034506-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhhqs3
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034507-250717081556266/datasets/export for details.
DOI: 10.15468/dl.dubesu
title: Occurrence Download

description: A dataset containing 297140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum catharticum"
 ]
}

 The dataset includes 297140 records from 1413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034402-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/bonwhf
title: Entretien avec Rejngard Betke. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 29 août 2012 à Obiatchevo (République des Komis), Russie, au domicile de l'interviewé. Il a été mené par Hélène Mondon. L'entretien a été réalisé en russe. Il a duré 1 heure et 46 minutes.
DOI: 10.57745/dkceay
title: 2012-EGG-RU-0701-Betke.ogg

description: Enregistrement audio en version originale russe
DOI: 10.5281/zenodo.16371264
title: Preservation of Peranakan Culture through Application to Restaurant Interior Design in Malang
DOI: 10.5281/zenodo.16371265
title: Preservation of Peranakan Culture through Application to Restaurant Interior Design in Malang
DOI: 10.15468/dl.4mqbv8
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leea aequata"
 ]
}

 The dataset includes 664 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034511-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22qndp
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fragaria iturupensis Staudt"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0219048-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.