cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fz4w6m
title: Occurrence Download

description: A dataset containing 1299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis japonicus Temminck & Schlegel, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1299 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031406-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.s66uofgj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5893059 records)
DOI: 10.15468/dl.rejkpc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis encrasicolus (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031407-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuzd75
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katsuwonus pelamis (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031409-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5byxvw
title: Occurrence Download

description: A dataset containing 1544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Eswatini, Lesotho)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1544 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031410-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13268473
title: Better together: synergic effect of liquid metal catalyst and porous support for reduction reactions

description: Raw data for the paper:Better Together: Synergic Effect of Gallium‐Based Catalyst and Porous Support for Reduction Reactions
DOI: 10.5281/zenodo.13268474
title: Better together: synergic effect of liquid metal catalyst and porous support for reduction reactions

description: Raw data for the paper:Better Together: Synergic Effect of Gallium‐Based Catalyst and Porous Support for Reduction Reactions
DOI: 10.15468/dl.ar4y8k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber pelamis Brünnich, 1768",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031411-241126133413365/datasets/export for details.
DOI: 10.34740/kaggle/dsv/10179228
title: e-IPO Indonesia Data - Investment
DOI: 10.15468/dl.797f47
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "TaxonKey is Amanita constricta Thiers & Ammirati"
 ]
}

 The dataset includes 412 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031412-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jnc5c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsala katsuwoni (Ishii, 1936) Price, 1938",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031413-241126133413365/datasets/export for details.
DOI: 10.15468/dl.66ykt7
title: Occurrence Download

description: A dataset listing the 78 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deckeniidae"
 ]
}

 The dataset's 78 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031400-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.27991604
title: The viability, vigour and health of farm-saved soybean seed

description: This research was conducted in collaboration with smallholder soybean farmers around Gauteng Province of South Africa. The research aimed to investigate the impact of storage practices used by smallholder farmers on soybean seed quality, including seed viability and vigour, seed health, and mycotoxins thereof. This study was a qualitatitive research whereby 22 smallholder farmers were asked questions regarding the storage facilities they use, the type of seed; i.e farm-saved or certified seed they have and they storage periods. Thereafter, seeds samples were collected from the various farmers and taken to the Seed lab of the University of Pretoria where seed quality tests including germination, moisture and vigour tests were conducted. Furthermore, the seed health and mycotoxins associated with the farm-saved seeds were analysed. The data was analysed using SAS and graphpad prism.
DOI: 10.25403/upresearchdata.27991604.v1
title: The viability, vigour and health of farm-saved soybean seed

description: This research was conducted in collaboration with smallholder soybean farmers around Gauteng Province of South Africa. The research aimed to investigate the impact of storage practices used by smallholder farmers on soybean seed quality, including seed viability and vigour, seed health, and mycotoxins thereof. This study was a qualitatitive research whereby 22 smallholder farmers were asked questions regarding the storage facilities they use, the type of seed; i.e farm-saved or certified seed they have and they storage periods. Thereafter, seeds samples were collected from the various farmers and taken to the Seed lab of the University of Pretoria where seed quality tests including germination, moisture and vigour tests were conducted. Furthermore, the seed health and mycotoxins associated with the farm-saved seeds were analysed. The data was analysed using SAS and graphpad prism.
DOI: 10.15468/dl.4qvym9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caballerocotyla llewelyni Kohn & Justo, 2006",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031414-241126133413365/datasets/export for details.
DOI: 10.15468/dl.cr3qb3
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deckeniidae"
 ]
}

 The dataset includes 586 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031416-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfawje
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((68.39003 6.01394,78.97892 7.60554,80.85178 10.92275,95.04233 6.01394,95.04233 23.16268,68.39003 23.16268,68.39003 6.01394))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scyphozoa"
 ]
}

 The dataset includes 75 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031418-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxa8ad
title: Occurrence Download

description: A dataset containing 10220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sula leucogaster (Boddaert, 1783)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10220 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031417-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.14727
title: Spatial and Temporal Patterns of Zooplankton Trophic Interactions and Carbon Sources in the Eutrophic Elbe Estuary (Germany)

description: Zooplankton in estuaries encounter complex physical and biogeochemical processes that affect the quantity, quality and origin of their food sources. The knowledge about how zooplankton deal with highly variable organic matter sources is sparse. Here, we investigated the spatial and temporal patterns of zooplankton trophic dynamics and carbon sources in the intensively dredged, eutrophic Elbe estuary. For this purpose, we applied elemental and stable isotope analysis (δ<sup>13</sup>C and δ<sup>15</sup>N) on particulate organic matter (POM) and dominant meso- and macrozooplankton species including ichthyoplankton from five stations along the entire salinity gradient of the estuary in 2022. The δ<sup>13</sup>C values of POM (-29.2 to -23.0 ‰) indicated a mixture of riverine, terrestrial and coastal carbon sources used by most taxa for their diet. <em>Eurytemora affinis </em>(-34.0 to -23.3 ‰) and <em>Mesopodopsis slabberi </em>(-22.2 to -20.0 ‰) exhibited a broader range in δ<sup>13</sup>C than POM, suggesting selective feeding on single POM components depending on the season. In winter and autumn, under high suspended matter loads and limited availability of high-quality autochthonous phytoplankton, zooplankton showed increased tendency for carnivory (higher δ<sup>15</sup>N values). Our study revealed a high trophic plasticity of estuarine Elbe zooplankton to buffer hydrological related alterations in their food source by dietary niche partitioning and a flexible switch in their feeding behaviour.
DOI: 10.21227/tgcx-aq28
title: Traffic Scenarios Event Caption (TSEC) Dataset

description: General video captioning datasets are not suitable for challenges of fast moving camera, highly overlapping vocabulary and caption for camera-carrier in driving scenes. To address this issue, we develop the Traffic Scenarios Event Caption (TSEC) Dataset to describe the key events of ego vehicle, road environment and other traffic participants. To acquire diverse types of traffic scenarios, we select the videos that we take with our on-board camera and other public dataset videos. We also download from BiliBili and Youtube to get the traffic accident videos. Because each video of these may contain many traffic events, we spilt the videos into distinct clips and make each sub-clip associated with 1 to 3 key events. We follow the rules when processing the video clips: 1) In order to increase the diversity, different weathers, different periods, different road conditions and different vehicle conditions need to be selected. 2) Due to the complexity of traffic situations at intersections, a number of intersection scenarios are chosen. 3) The clip needs to contain the entire event. Finally, we obtain 8,000 videos with 32,000 event caption.
DOI: 10.25592/uhhfdm.14726
title: Spatial and Temporal Patterns of Zooplankton Trophic Interactions and Carbon Sources in the Eutrophic Elbe Estuary (Germany)

description: Zooplankton in estuaries encounter complex physical and biogeochemical processes that affect the quantity, quality and origin of their food sources. The knowledge about how zooplankton deal with highly variable organic matter sources is sparse. Here, we investigated the spatial and temporal patterns of zooplankton trophic dynamics and carbon sources in the intensively dredged, eutrophic Elbe estuary. For this purpose, we applied elemental and stable isotope analysis (δ<sup>13</sup>C and δ<sup>15</sup>N) on particulate organic matter (POM) and dominant meso- and macrozooplankton species including ichthyoplankton from five stations along the entire salinity gradient of the estuary in 2022. The δ<sup>13</sup>C values of POM (-29.2 to -23.0 ‰) indicated a mixture of riverine, terrestrial and coastal carbon sources used by most taxa for their diet. <em>Eurytemora affinis </em>(-34.0 to -23.3 ‰) and <em>Mesopodopsis slabberi </em>(-22.2 to -20.0 ‰) exhibited a broader range in δ<sup>13</sup>C than POM, suggesting selective feeding on single POM components depending on the season. In winter and autumn, under high suspended matter loads and limited availability of high-quality autochthonous phytoplankton, zooplankton showed increased tendency for carnivory (higher δ<sup>15</sup>N values). Our study revealed a high trophic plasticity of estuarine Elbe zooplankton to buffer hydrological related alterations in their food source by dietary niche partitioning and a flexible switch in their feeding behaviour.
DOI: 10.15468/dl.7gc7w8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelecanus leucogaster Boddaert, 1783",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031420-241126133413365/datasets/export for details.
DOI: 10.15468/dl.yyfy3s
title: Occurrence Download

description: A dataset containing 255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidotrigla microptera Günther, 1873",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 255 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031422-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1118195.10fu
title: SH1118195.10FU

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/sh1118197.10fu
title: SH1118197.10FU

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/sh1118198.10fu
title: SH1118198.10FU

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/sh1118199.10fu
title: SH1118199.10FU

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/sh1118200.10fu
title: SH1118200.10FU

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/sh1118202.10fu
title: SH1118202.10FU

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/sh1118203.10fu
title: SH1118203.10FU

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/sh1118205.10fu
title: SH1118205.10FU

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.