cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9jnabz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria fedschenkoi Bornm."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121444-230530130749713/datasets/export for details.
DOI: 10.15468/dl.t5zgp3
title: Occurrence Download

description: A dataset containing 1635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus entrerianus Boeckeler"
 ]
}

 The dataset includes 1635 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049225-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmustu
title: Occurrence Download

description: A dataset containing 53599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Alauda gulgula",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 53599 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058950-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud25cr
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conioselinum nematophyllum Pimenov & Kljuykov"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009410-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7w3ge
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphaea pubescens Willd."
 ]
}

 The dataset includes 479 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049234-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzw3pn
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pommereschea lackneri Witte"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093007-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.at4vdv
title: Occurrence Download

description: A dataset containing 32770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinoptera bonasus (Mitchill, 1815)"
 ]
}

 The dataset includes 32770 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023016-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5cjw8
title: Occurrence Download

description: A dataset containing 1227211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Alauda arvensis",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1227211 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058951-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hyerq
title: Occurrence Download

description: A dataset containing 15918 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BANDASCA, BAse de DAtos sobre SCArabaeidae"
 ]
}

 The dataset includes 15918 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123144-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2510255
title: Interfacial host-guest complexation of copolymers stabilizing liquid dispersions

description: The proposed experiment aims at revealing the structural organization of the adsorbed layers of a couple of complementary polymers that form host-guest complexes at the interface of ultra-stable oil-in-water emulsions. The measurements will be performed under variation of the polymer chain length and the number of the host/guest functions per macromolecule. We will use three different contrast-matching conditions to reveal the contribution of each component. We will also vary the fraction of the dispersed oil-phase at a fixed concentration of stabilizers to follow the changes in the interfacial layer within the emulsion matrix.
DOI: 10.5286/isis.e.rb2510594-2
title: The Structure of Used and Useful Solvents

description: Understanding the self-solvation of a liquid is fundamental to understanding its behaviour and utility as a solvent. Remarkably, 4 of the 25 most common solvents in organic chemistry remain unstudied: dioxane, ethyl acetate, diethyl ether, and pentane.
DOI: 10.5286/isis.e.rb2590180-1
title: Understanding the influence of Tb magnetic ordering on the RE:TM coupling in NiFe/Tb bilayers
DOI: 10.15156/bio/sh1394817.10fu
title: SH1394817.10FU

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/sh1394818.10fu
title: SH1394818.10FU

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/sh1394819.10fu
title: SH1394819.10FU

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/sh1394822.10fu
title: SH1394822.10FU

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: 10.5281/zenodo.16983511
title: PAEMS: Precise and Adaptive Error Model for Superconducting Quantum Processors

description: This dataset contains comprehensive experimental and simulation data for quantum error correction using repetition codes on multiple superconducting quantum computing platforms.

## Dataset Contents

### Multi-Round Repetition Code Data- Experimental data from IBM Quantum processors (Brisbane, Sherbrooke, Torino)- 21 qubits, 30 measurement rounds- Correlation matrices and detection events- CMA-ES optimized noise parameters- Cross-platform comparative analysis

### Single-Round Repetition Code Data  - X-basis and Z-basis measurements- Multiple platforms: IBM, China Mobile, QuantumCTeck- 5-21 qubit systems- Total variation distance optimization results- Hardware parameters and visualization

## Key Features- Cross-platform universality validation- Physics-based noise model decomposition- Complete analysis workflows and visualization

The data supports research in quantum error correction, noise modeling, and cross-platform quantum computing validation.
DOI: 10.15156/bio/sh1394826.10fu
title: SH1394826.10FU

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: 10.5281/zenodo.18230210
title: PAEMS: Precise and Adaptive Error Model for Superconducting Quantum Processors

description: This dataset contains comprehensive experimental and simulation data for quantum error correction using repetition codes on multiple superconducting quantum computing platforms.

## Dataset Contents

### Multi-Round Repetition Code Data- Experimental data from IBM Quantum processors (Brisbane, Sherbrooke, Torino)- 21 qubits, 30 measurement rounds- Correlation matrices and detection events- CMA-ES optimized noise parameters- Cross-platform comparative analysis

### Single-Round Repetition Code Data  - X-basis and Z-basis measurements- Multiple platforms: IBM, China Mobile, QuantumCTeck- 5-21 qubit systems- Total variation distance optimization results- Hardware parameters and visualization

## Key Features- Cross-platform universality validation- Physics-based noise model decomposition- Complete analysis workflows and visualization

The data supports research in quantum error correction, noise modeling, and cross-platform quantum computing validation.
DOI: 10.15156/bio/sh1394827.10fu
title: SH1394827.10FU

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/sh1394829.10fu
title: SH1394829.10FU

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/sh1394831.10fu
title: SH1394831.10FU

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/sh1394832.10fu
title: SH1394832.10FU

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: 10.25549/browneg-ouc113986572
title: We the People with Jerry Brown, Taxes, 1996-01-17

description: We the People with Jerry Brown, Taxes, 1996-01-17 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc1sto1905512
title: Audiovisual material, posters and other material added to the collection from accession no. 2023-011

description: The Edmund G. Brown, Jr. papers comprise the papers of Jerry Brown during his tenure as California Secretary of State (1971-1975) and his first two terms as the Governor of California (1975-1983). Over the course of his career, Jerry Brown has served as the California Secretary of State (1971-1975), the 34th Governor of California (1975-1983), the Mayor of Oakland (1999-2007), the Attorney General of California (2007-2011), and the 39th Governor of California (2011-2019).
DOI: 10.25549/browneg-ouc113986638
title: We the People with Jerry Brown, broadcast master

description: We the People with Jerry Brown, broadcast master. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986660
title: We the People with Jerry Brown, Gerard Colby and Charlotte Dennett: Thy Will Be Done, 1996-11-21

description: We the People with Jerry Brown, Gerard Colby and Charlotte Dennett: Thy Will Be Done, 1996-11-21 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986577
title: We the People with Jerry Brown, Tom Hayden, 1996-11-12

description: We the People with Jerry Brown, Tom Hayden, 1996-11-12 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986648
title: We the People with Jerry Brown, Jonathan Kozol, Amazing Grace, 1995-11-14

description: We the People with Jerry Brown, Jonathan Kozol, 1995-11-14 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.15468/dl.kjbp7n
title: Occurrence Download

description: A dataset containing 72240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Rhododendron ponticum"
 ]
}

 The dataset includes 72240 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021319-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/browneg-ouc113986622
title: We the People with Jerry Brown, broadcast master

description: We the People with Jerry Brown, broadcast master Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986588
title: Neighborhood Experience: Elmhurst Conversations, 1999-01-04

description: Neighborhood Experience: Elmhurst Conversations, 1999-01-04 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986601
title: Michael Toms, interview of Jerry Brown, New Dimensions radio show, 1991-06-11

description: Michael Toms, interview of Jerry Brown, New Dimensions radio show, 1991-06-11 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986608
title: Michael Toms, interview of Jerry Brown, New Dimensions radio show, 1991-06-11

description: Michael Toms, interview of Jerry Brown, New Dimensions radio show, 1991-06-11 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986587
title: Neighborhood Experience: Rockridge, 1999-01-04

description: Neighborhood Experience: Rockridge, 1999-01-04 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986597
title: We the People with Jerry Brown, Post Election Analysis, 1996-11-06

description: We the People with Jerry Brown, Post Election Analysis, 1996-11-06 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc1sto1905471
title: Audiovisual material, posters and other material added to the collection from accession no. 2023-011

description: The Edmund G. Brown, Jr. papers comprise the papers of Jerry Brown during his tenure as California Secretary of State (1971-1975) and his first two terms as the Governor of California (1975-1983). Over the course of his career, Jerry Brown has served as the California Secretary of State (1971-1975), the 34th Governor of California (1975-1983), the Mayor of Oakland (1999-2007), the Attorney General of California (2007-2011), and the 39th Governor of California (2011-2019).
DOI: 10.25549/browneg-ouc113986566
title: We the People with Jerry Brown, Patch Adams, 1996-06-11

description: We the People with Jerry Brown, Patch Adams, 1996-06-11. Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.
DOI: 10.25549/browneg-ouc113986548
title: Neighborhood Experience: Park and Creek (tape 1) , 1998-01-04

description: Neighborhood Experience: Park and Creek (tape 1), 1998-01-04 Gift of Edmund G. Brown, Jr., 1985, 2019, and 2023. Transcript was created by WhisperAI.