cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h4x8wv
title: Occurrence Download

description: A dataset containing 2038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Zimbabwe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnoris superciliaris Blyth, 1845"
 ]
}

 The dataset includes 2038 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281072-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p344j
title: Occurrence Download

description: A dataset containing 6879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypophthalmichthys molitrix (Valenciennes, 1844)"
 ]
}

 The dataset includes 6879 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052981-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq5rb8
title: Occurrence Download

description: A dataset containing 2835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus olor (J.F.Gmelin, 1789)",
 "Year 1990-2022"
 ]
}

 The dataset includes 2835 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288966-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veqar5
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia ciconia (Linnaeus, 1758)",
 "Year 1990-2022"
 ]
}

 The dataset's 2 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281065-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs2z85
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterygoplichthys gibbiceps (Kner, 1854)"
 ]
}

 The dataset includes 196 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052971-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25984136.v1
title: A patent review of SHP2 allosteric inhibitors (2018-present)

description: SHP2 (Src homology region 2-containing protein tyrosine phosphatase 2) is a target of interest for cancer therapy due to its key role in the regulation of the RAS/MAPK signal transduction pathway downstream of Receptor Tyrosine Kinases (RTKs). Moreover, SHP2 can inhibit T cells via the PD-1/PD-L1 pathway. SHP2 plays a critical role in numerous physiological and pathological cellular processes such as cell proliferation, survival, and migration. This review examines SHP2 allosteric inhibitors reported in patents published in Espacenet and Scifinder databases from 2018 to present. An overview of claimed structures is conducted, focusing attention on structural modifications compared to SHP099, the first described allosteric inhibitor of SHP2. Multiple potent allosteric SHP2 inhibitors have been discovered, disclosed, and tested in a variety of preclinical cancer models with strong evidence of efficacy. Fifteen compounds are currently in clinical development, but none of them have been approved for marketing. Until now, long-term benefit of SHP2 inhibitors as monotherapy agents have not been demonstrated due to acquired mechanisms of resistance and/or lack of efficacy. However, combination therapies with a variety of agents, such as MEK, BRAF, EGFR, RAS-G12C and PDL-1 inhibitors, have high potential and are currently an extensive area of investigation.
DOI: 10.15468/dl.scrrwg
title: Occurrence Download

description: A dataset containing 3999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Zambia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dicrurus adsimilis (Bechstein, 1794)"
 ]
}

 The dataset includes 3999 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288969-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7bqgp
title: Occurrence Download

description: A dataset containing 5121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "Country is Greece",
 "OccurrenceStatus is Present",
 "TaxonKey is Ciconia nigra (Linnaeus, 1758)",
 "Year 1990-2022"
 ]
}

 The dataset includes 5121 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281076-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtcjkx
title: Occurrence Download

description: A dataset containing 4884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prinia superciliaris (Anderson, 1871))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4884 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293061-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwab48
title: Occurrence Download

description: A dataset containing 12047746 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 12047746 records from 1445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281068-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1379064.10fu
title: SH1379064.10FU

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/sh1379067.10fu
title: SH1379067.10FU

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.db9rye
title: Occurrence Download

description: A dataset containing 74531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylotelephium telephium",
 "Year 1000-2022"
 ]
}

 The dataset includes 74531 records from 782 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005693-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1379068.10fu
title: SH1379068.10FU

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/sh1379072.10fu
title: SH1379072.10FU

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.2y4xe3
title: Occurrence Download

description: A dataset containing 1452 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Abundance, biomass and size structure of the dusky grouper (Epinephelus marginatus) and the brown meagre (Sciaena umbra) according to protection status in the marine reserve of Scandola (Corsica, NW Mediterranean) in 2012 and 2018"
 ]
}

 The dataset includes 1452 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005735-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1379073.10fu
title: SH1379073.10FU

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.f8uh2v
title: Occurrence Download

description: A dataset containing 1672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-39.35534 22.87601,31.35534 22.87601,31.35534 51.12399,-39.35534 51.12399,-39.35534 22.87601))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leontodon longirostris"
 ]
}

 The dataset includes 1672 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005736-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12546235
title: Dataset: Agrify Corporation (AGFY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546236
title: Dataset: Agrify Corporation (AGFY) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546225
title: Dataset: AGBA Group Holding Limited (AGBAW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546226
title: Dataset: AGBA Group Holding Limited (AGBAW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.34544k
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anastrophyllum joergensenii Schiffn."
 ]
}

 The dataset includes 168 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094825-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12546240
title: Dataset: AGM Group Holdings Inc. (AGMH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546241
title: Dataset: AGM Group Holdings Inc. (AGMH) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546247
title: Dataset: Themes Silver Miners ETF (AGMI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546248
title: Dataset: Themes Silver Miners ETF (AGMI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546249
title: Dataset: AGNC Investment Corp. (AGNC) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546250
title: Dataset: AGNC Investment Corp. (AGNC) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546252
title: Dataset: AGNC Investment Corp. (AGNCL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546253
title: Dataset: AGNC Investment Corp. (AGNCL) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546256
title: Dataset: AGNC Investment Corp. (AGNCM) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546257
title: Dataset: AGNC Investment Corp. (AGNCM) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546261
title: Dataset: AGNC Investment Corp. (AGNCN) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546262
title: Dataset: AGNC Investment Corp. (AGNCN) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546266
title: Dataset: AGNC Investment Corp. (AGNCO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546267
title: Dataset: AGNC Investment Corp. (AGNCO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546268
title: Dataset: AGNC Investment Corp. (AGNCP) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546269
title: Dataset: AGNC Investment Corp. (AGNCP) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12546271
title: Dataset: Global X Aging Population ETF (AGNG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.