cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0190296.10fu
title: SH0190296.10FU

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/sh0190297.10fu
title: SH0190297.10FU

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/sh0190298.10fu
title: SH0190298.10FU

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/sh0190299.10fu
title: SH0190299.10FU

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/sh0190300.10fu
title: SH0190300.10FU

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/sh0190301.10fu
title: SH0190301.10FU

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/sh0190302.10fu
title: SH0190302.10FU

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/sh0190303.10fu
title: SH0190303.10FU

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: 10.15468/dl.2m7fgs
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melosira moniliformis",
 "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 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030422-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/vjkslb
title: Data Management and Sharing Plan for: Targeting PEN-GPR83 as a as a strategy to reduce opioid abuse liability

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.15468/dl.r7xy84
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Steromphala nivosa)",
 "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 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030425-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5f3rd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythrogenys erythrogenys",
 "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/0030424-250920141307145/datasets/export for details.
DOI: 10.24381/43a81317
title: Arctic regional reanalysis daily and monthly data from 1991 to present
DOI: 10.5281/zenodo.17227923
title: Replication package for "Augmented Entrepreneurship in SMEs"

description: # Replication Guide — "Augmented Entrepreneurship in SMEs"

This package reproduces Table 2, Table 3, and Figure 1 from the paper.Data are derived from public Kickstarter pages (2019–2025). No synthetic data were used.Raw HTML is NOT redistributed; we provide a de-identified feature matrix and scripts to rebuild features from public pages.

## 1) Environmentpython -m venv .venv && source .venv/bin/activatepip install -r requirements.txt

## 2) Option A: Use provided feature matrix (recommended)# uses Data/features.parquetpython Code/02_models_tables.pypython Code/03_event_study_fig1.py

## 2) Option B: Rebuild features from public pages# pointers only; see Docs/codebook.md for detailspython Code/01_build_features.py      # outputs Data/features.parquetpython Code/02_models_tables.pypython Code/03_event_study_fig1.py

## OutputsOutput/table2_baseline.csvOutput/table3_interaction.csvOutput/figure1_eventstudy.png

## Notes- Both Table 2 and Table 3 are estimated on the same common sample (identical N).- Models include the same covariates and fixed effects as in the paper.- Inference uses HC1; clustering by category yields the same qualitative results.
DOI: 10.15468/dl.b7dr7x
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spathodea campanulata",
 "Country is Nicaragua",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030427-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvtqqa
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tephroseris elodes)",
 "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 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030426-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17227924
title: Replication package for "Augmented Entrepreneurship in SMEs"

description: # Replication Guide — "Augmented Entrepreneurship in SMEs"

This package reproduces Table 2, Table 3, and Figure 1 from the paper.Data are derived from public Kickstarter pages (2019–2025). No synthetic data were used.Raw HTML is NOT redistributed; we provide a de-identified feature matrix and scripts to rebuild features from public pages.

## 1) Environmentpython -m venv .venv && source .venv/bin/activatepip install -r requirements.txt

## 2) Option A: Use provided feature matrix (recommended)# uses Data/features.parquetpython Code/02_models_tables.pypython Code/03_event_study_fig1.py

## 2) Option B: Rebuild features from public pages# pointers only; see Docs/codebook.md for detailspython Code/01_build_features.py      # outputs Data/features.parquetpython Code/02_models_tables.pypython Code/03_event_study_fig1.py

## OutputsOutput/table2_baseline.csvOutput/table3_interaction.csvOutput/figure1_eventstudy.png

## Notes- Both Table 2 and Table 3 are estimated on the same common sample (identical N).- Models include the same covariates and fixed effects as in the paper.- Inference uses HC1; clustering by category yields the same qualitative results.
DOI: 10.15468/dl.3748wf
title: Occurrence Download

description: A dataset containing 8007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Ageratum"
 ]
}

 The dataset includes 8007 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030430-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvutme
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melosira nummuloides",
 "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 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030429-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25740/ts162tz8689
title: Source data for: Distinct Engram Ensemble Dynamics Mediate Hippocampal Memory Encoding and Retrieval

description: Contribution of spatial reference frames to fear learning and memory.
DOI: 10.15468/dl.kj2sse
title: Occurrence Download

description: A dataset containing 2059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tethya aurantium)",
 "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 2059 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030432-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73j838
title: Occurrence Download

description: A dataset containing 1456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambystoma californiense"
 ]
}

 The dataset includes 1456 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030431-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syur3v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erythrogenys",
 "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/0030433-250920141307145/datasets/export for details.
DOI: 10.15468/dl.4djybf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Central African Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030434-250920141307145/datasets/export for details.
DOI: 10.15468/dl.dhcw57
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bees (Hymenoptera : Apoidea) of Far Northern Ontario and Akimiski Island, Nunavut",
 "Geometry POLYGON((-88.63313 51.64808,-84.09633 51.64808,-84.09633 53.46203,-88.63313 53.46203,-88.63313 51.64808))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 8 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030418-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6075/j0td9xrg
title: Ellen Browning Scripps Herbarium Collection

description: Herbarium collections are important for measuring biodiversity, understanding taxonomy, and documenting change across space and time. Historically, Scripps Institution of Oceanography (SIO) had an herbarium collection of pressed seaweeds (dried seaweeds preserved on paper) managed by the late Dr. Ralph Lewin. In the 1990s, all specimens were transferred to the San Diego Natural History Museum, UC San Diego Geisel Library Special Collections, or the University Herbarium at UC Berkeley. Since then, the Smith Lab at SIO (https://seaweedecologylab.ucsd.edu/) has accumulated thousands of seaweed pressings collected over the past decade, largely by our research team or students in our Phycology (Marine Plant Biology) undergraduate and graduate lab course. As of 2023, we have been working to curate, catalog, and digitize these specimens in an effort to re-establish an official herbarium collection at SIO for teaching, research, and outreach.

This collection consists of 4,800+ seaweed specimens; approximately 45.3% of specimens are from the phylum Rhodophyta (red algae), with 39.2% from Ochrophyta (brown algae) and 15.5% from Chlorophyta (green algae), representing over 150 genera and nearly 300 species. Most specimens are from Southern California, particularly San Diego County. Each specimen has been morphologically identified to the species or genus level and is labeled with information such as the collection date and location, collector's name, and catalog number. Specimens are currently held in the Marine Conservation and Technology Facility at SIO, organized taxonomically in herbarium cabinets. All specimens were digitized through high-resolution scans with a ruler and color calibration card, and are also available on the Algae Herbarium Portal (https://macroalgae.org/portal/).
DOI: 10.15468/dl.99hfke
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paratrechina longicornis",
 "Country is Equatorial Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030435-250920141307145/datasets/export for details.
DOI: 10.15468/dl.mf8ev4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030436-250920141307145/datasets/export for details.
DOI: 10.15468/dl.z34mjc
title: Occurrence Download

description: A dataset containing 374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melosira varians",
 "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 374 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030438-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a6wr9
title: Occurrence Download

description: A dataset containing 3920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tethya citrina)",
 "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 3920 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030439-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w952p
title: Occurrence Download

description: A dataset listing the 437 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-124.16453 63.18143,-120.71337 63.18143,-120.71337 64.31882,-124.16453 64.31882,-124.16453 63.18143))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 437 records were derived from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030415-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13209842
title: Daftar Pengadilan Indonesia