cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j9avbr
title: Occurrence Download

description: A dataset containing 33759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dorycnium pentaphyllum Scop.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33759 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018416-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w5a2j
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Echinophthiriidae"
 ]
}

 The dataset includes 1716 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000539-250225214225278/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.28477688
title: Source data for coupling furfural oxidation for bias-free hydrogen production using crystalline silicon photoelectrodes.

description: To commercialize the technology of photoelectrochemical hydrogen production, it is essential to surpass the US. Department of Energy target of 0.36 mmol h−1 cm−2 for 1-sun hydrogen production rate. In this study, we utilize crystalline silicon, which can exhibit the highest photocurrent density (43.37 mA cm−2), as the photoelectrode material. However, achieving bias-free water splitting (&gt; 1.6 V) remains challenging due to the intrinsic low photovoltage of crystalline silicon (0.6 V). To address this limitation, we replace water oxidation with low-potential furfural oxidation, enabling not only bias-free hydrogen production but also dual hydrogen production at both the cathodic and anodic sides. This approach results in a record 1-sun hydrogen production rate of 1.40 mmol h−1 cm−2, exceeding the Department of Energy target by more than fourfold.
DOI: 10.15468/dl.mq6y7h
title: Occurrence Download

description: A dataset containing 5240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Castalius rosimon (Fabricius, 1775)"
 ]
}

 The dataset includes 5240 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000542-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b5cy6
title: Occurrence Download

description: A dataset containing 1418939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2009",
 "Month is April"
 ]
}

 The dataset includes 1418939 records from 429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000533-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7cpf5
title: Occurrence Download

description: A dataset containing 7068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Catopsilia pyranthe (Linnaeus, 1758)"
 ]
}

 The dataset includes 7068 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000543-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tbcfg
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Caleta roxus"
 ]
}

 The dataset includes 723 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000541-250225214225278/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/10855187
title: The Healthcare Dataset
DOI: 10.15468/dl.ed8ymy
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrocentrus cingulum Brischke, 1882"
 ]
}

 The dataset includes 234 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000547-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gh9j5
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaelirium koidzumianum (Ohwi) N.Tanaka"
 ]
}

 The dataset includes 147 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000546-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mhet7
title: Occurrence Download

description: A dataset containing 105609311 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset includes 105609311 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000540-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhkdj3
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lycium afrum L."
 ]
}

 The dataset includes 652 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000545-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14928273
title: Global Smart TV Stick Market 2025 To 2034

description: Smart TV Stick Market Size, Trends and Insights By Type (HD Smart TV Sticks, Full HD Smart TV Sticks, 4K UHD Smart TV Sticks, Gaming-Centric TV Sticks), By End User (Household Consumers, Business & Hospitality Sector, Educational Institutions, Gaming Community, Healthcare Facilities, Government & Public Sector, Retail & Commercial Establishments), By Distribution Channel (Online, Offline), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Smart TV Stick Market size was valued at USD 27.89 Billion in 2025 and expected to reach USD 44.77 Billion by 2034, at CAGR of 5.4% during the forecast period 2025 – 2034.

A smart TV stick is a compact, plug-and-play streaming device that connects to the HDMI port of a television, turning it into a smart TV by enabling access to online content, apps, and streaming platforms. These devices support various proposals from 4K Ultra HD to HD and come with the underlying Wi-Fi or Ethernet connectivity.

The Smart TV Stick market is experiencing significant growth, inspired by increasing demand for inexpensive smart entertainment solutions, OTT platform penetration, and cord-cutting trends.

North America and Europe dominate the market due to high internet usage, while Asia-Pacific is rapidly expanding with budget-friendly offerings. Innovations such as 5G-competent streaming and cloud gaming compatibility are being given more market shapes, making smart TVs an essential part of digital entertainment.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=62896
DOI: 10.5281/zenodo.14928274
title: Global Smart TV Stick Market 2025 To 2034

description: Smart TV Stick Market Size, Trends and Insights By Type (HD Smart TV Sticks, Full HD Smart TV Sticks, 4K UHD Smart TV Sticks, Gaming-Centric TV Sticks), By End User (Household Consumers, Business & Hospitality Sector, Educational Institutions, Gaming Community, Healthcare Facilities, Government & Public Sector, Retail & Commercial Establishments), By Distribution Channel (Online, Offline), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Smart TV Stick Market size was valued at USD 27.89 Billion in 2025 and expected to reach USD 44.77 Billion by 2034, at CAGR of 5.4% during the forecast period 2025 – 2034.

A smart TV stick is a compact, plug-and-play streaming device that connects to the HDMI port of a television, turning it into a smart TV by enabling access to online content, apps, and streaming platforms. These devices support various proposals from 4K Ultra HD to HD and come with the underlying Wi-Fi or Ethernet connectivity.

The Smart TV Stick market is experiencing significant growth, inspired by increasing demand for inexpensive smart entertainment solutions, OTT platform penetration, and cord-cutting trends.

North America and Europe dominate the market due to high internet usage, while Asia-Pacific is rapidly expanding with budget-friendly offerings. Innovations such as 5G-competent streaming and cloud gaming compatibility are being given more market shapes, making smart TVs an essential part of digital entertainment.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=62896
DOI: 10.15468/dl.zfbb2g
title: Occurrence Download

description: A dataset containing 255003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arenaria serpyllifolia L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 255003 records from 1772 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000538-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59smv6
title: Occurrence Download

description: A dataset containing 239876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((18.37487 39.08948,21.97904 35.44739,24.41428 34.32879,28.40809 34.96985,29.38219 36.1584,30.06406 38.63439,29.38219 41.321,28.40809 43.12421,25.48579 44.04148,22.07645 44.39055,19.73861 43.83104,17.98523 41.90363,18.37487 39.08948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, DD)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 239876 records from 350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010965-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1049767.10fu
title: SH1049767.10FU

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/sh1049775.10fu
title: SH1049775.10FU

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/sh1049781.10fu
title: SH1049781.10FU

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/sh1049794.10fu
title: SH1049794.10FU

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/sh1049795.10fu
title: SH1049795.10FU

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/sh1049797.10fu
title: SH1049797.10FU

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/sh1049800.10fu
title: SH1049800.10FU

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/sh1049805.10fu
title: SH1049805.10FU

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/sh1049823.10fu
title: SH1049823.10FU

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/sh1049831.10fu
title: SH1049831.10FU

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.3c974q
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Cordia dodecandra DC.",
 "Year 1900-2025"
 ]
}

 The dataset includes 1088 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007496-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thxsrt
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Cordia gerascanthus L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 645 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007497-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.