cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9v3y8d
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphia minuta (Risso, 1810)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1426 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014070-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d4zuf
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina sphyraena Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1363 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014071-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmjbap
title: Occurrence Download

description: A dataset containing 7204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus laterna (Walbaum, 1792)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7204 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014072-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34965/i53214
title: 20220058
DOI: 10.15468/dl.6yec9c
title: Occurrence Download

description: A dataset containing 98964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Cheloniidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 98964 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014069-241126133413365/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.25422742
title: Underlying Data.xlsx

description: This study investigates factors influencing fund performance management (FPM) in the Local Health Security Fund Committee of Sisaket. Data from 324 participants were analyzed using Descriptive and Inferential Statistics from June 2022 to February 2023. Results of a stepwise multi-regressive analysis identified three key variables: organizational support, supporting factors, and board membership/secretary roles. These variables explained 49.87% of the variations in FPM (R2=0.498, R2adj=0.493, SEest=2.50355, F=105.637, p&lt;0.001).
DOI: 10.6084/m9.figshare.25422742.v1
title: Underlying Data.xlsx

description: This study investigates factors influencing fund performance management (FPM) in the Local Health Security Fund Committee of Sisaket. Data from 324 participants were analyzed using Descriptive and Inferential Statistics from June 2022 to February 2023. Results of a stepwise multi-regressive analysis identified three key variables: organizational support, supporting factors, and board membership/secretary roles. These variables explained 49.87% of the variations in FPM (R2=0.498, R2adj=0.493, SEest=2.50355, F=105.637, p&lt;0.001).
DOI: 10.6084/m9.figshare.25422742.v2
title: Underlying Data.xlsx

description: This study investigates factors influencing fund performance management (FPM) in the Local Health Security Fund Committee of Sisaket. Data from 324 participants were analyzed using Descriptive and Inferential Statistics from June 2022 to February 2023. Results of a stepwise multi-regressive analysis identified three key variables: organizational support, supporting factors, and board membership/secretary roles. These variables explained 49.87% of the variations in FPM (R2=0.498, R2adj=0.493, SEest=2.50355, F=105.637, p&lt;0.001).
DOI: 10.15468/dl.bbfzsq
title: Occurrence Download

description: A dataset containing 13372 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persea americana Mill."
 ]
}

 The dataset includes 13372 records from 617 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014073-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7pgtq
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((478.44498 9.53236,478.51193 9.53236,478.51193 9.57976,478.44498 9.57976,478.44498 9.53236))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014075-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/ed4h-4d91
title: Parkes observations for project P1338 semester 2024OCTS_15

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The repeating FRB 20240114A was recently discovered by CHIME/FRB, which has been seen to have an exceptionally high burst activity. Such extreme burst activity has not been seen in any other source. The repeating FRBs, such as FRB 20240114A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. The previous Parkes/Murriyang source follow-up has also revealed intriguing spectro-polarimetric properties, such as frequency-dependent evolution of burst central frequency or chromaticity, a possible activity window, significantly large circular polarisation (CP), and frequency-dependent CP. These properties hold the key towards understanding the circumburst environment of the FRBs, and test possible progenitor models. A large bandwidth instrument with reliable polarimetry has been critical in uncovering these properties. The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the source's wideband spectro-temporal and polarimetric behaviour. We propose a campaign to regularly follow up FRB 20240114A to ascertain its long-term evolution of spectro-temporal properties.
DOI: 10.6084/m9.figshare.25965214
title: <b>Spatiotemporal Evolution of China-Middle East Geo-economic Relations under the Belt and Road Initiative</b>.xlsx

description: The Belt and Road Initiative (BRI), launched in 2013, has become a cornerstone of China's international strategy, profoundly influencing its geo-economic relations with key regions, including the Middle East. However, the Middle East, as a crucial junction for China's Belt and Road Initiative towards the West, is fraught with complexity and uncertainty in geo-economic relations. Understanding these relations is essential for fostering deeper cooperation and addressing the region's emerging geopolitical and economic challenges. This paper uses the modified gravity model to measure geo-economic relations between China and Middle Eastern countries from 2010 to 2020, analyzing the main influencing factors with geographically and temporally weighted regression. The findings reveal that geo-economic relations between China and the Middle East have followed a fluctuating yet upward trajectory over the decade, primarily driven by economic strength, market dynamics, and geopolitical considerations, while acknowledging the secondary role of resource endowment. Additionally, the spatial pattern demonstrates a "high in the east and low in the west" distribution, with the geo-economic core gradually shifting northward along the Persian Gulf. These findings provide valuable insights for policymakers, emphasizing the need for targeted strategies to enhance future cooperation under the BRI framework.
DOI: 10.6084/m9.figshare.25965214.v2
title: <b>Spatiotemporal Evolution of China-Middle East Geo-economic Relations under the Belt and Road Initiative</b>.xlsx

description: The Belt and Road Initiative (BRI), launched in 2013, has become a cornerstone of China's international strategy, profoundly influencing its geo-economic relations with key regions, including the Middle East. However, the Middle East, as a crucial junction for China's Belt and Road Initiative towards the West, is fraught with complexity and uncertainty in geo-economic relations. Understanding these relations is essential for fostering deeper cooperation and addressing the region's emerging geopolitical and economic challenges. This paper uses the modified gravity model to measure geo-economic relations between China and Middle Eastern countries from 2010 to 2020, analyzing the main influencing factors with geographically and temporally weighted regression. The findings reveal that geo-economic relations between China and the Middle East have followed a fluctuating yet upward trajectory over the decade, primarily driven by economic strength, market dynamics, and geopolitical considerations, while acknowledging the secondary role of resource endowment. Additionally, the spatial pattern demonstrates a "high in the east and low in the west" distribution, with the geo-economic core gradually shifting northward along the Persian Gulf. These findings provide valuable insights for policymakers, emphasizing the need for targeted strategies to enhance future cooperation under the BRI framework.
DOI: 10.6084/m9.figshare.25965214.v1
title: <b>“一带一路”背景下中国与中东国家地缘经济关系的时空演化及影响因素分析</b>.xlsx

description: The Belt and Road Initiative (BRI) marks its tenth anniversary in 2023. Studying the spatiotemporal evolution of geo-economic relations between China and Middle Eastern countries can help deepen cooperation and address challenges. This paper uses the gravity model to measure geo-economic relations between China and Middle Eastern countries from 2010 to 2020, analyzing the main influencing factors with geographically and temporally weighted regression. The results show that: (1) From 2010 to 2020, the geo-economics relations between China and Middle Eastern countries exhibit a fluctuating upward trend. There are three types of fluctuations in the geo-economic relations curve: low stationary, rising, and declining. (2) Spatially, China's geo-economic relations with Middle Eastern countries strengthened overall from 2010 to 2020, displaying a regional pattern of "high in the east and low in the west." The "core" gradually moved north and was mostly located along the Persian Gulf coast. (3) National economic strength and market conditions are the primary influencing factors in geo-economic relations. Geopolitics plays a significant role in these relations. Resource endowment significantly promotes geo-economic relations, while militarization index, trade openness, and geo-culture play weaker roles and are uncertain factors in geo-economic cooperation.
DOI: 10.15468/dl.nw5k4r
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus thori Kyle, 1913",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 431 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014077-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8rtnz
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus rueppelii (Cocco, 1844)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 508 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014076-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf96aj
title: Occurrence Download

description: A dataset containing 25242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balistes capriscus Gmelin, 1789",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25242 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014078-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9ggc5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oldenlandia pumila (L.f.) DC.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011596-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4q5zm3
title: Occurrence Download

description: A dataset containing 4065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((10.56686 44.83149,13.38788 44.83149,13.38788 46.89387,10.56686 46.89387,10.56686 44.83149))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pueraria montana (Lour.) Merr., Ailanthus altissima (Mill.) Swingle, Asclepias syriaca L., Baccharis halimifolia L., Pontederia crassipes Mart., Elodea nuttallii (Planch.) H.St.John, Heracleum mantegazzianum Sommier & Levier, Humulus scandens (Lour.) Merr., Impatiens glandulifera Royle, Lagarosiphon major (Ridl.) Moss, Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia hexapetala (Hook. & Arn.) Zardini, H.Y.Gu & P.H.Raven, Ludwigia peploides (Kunth) P.H.Raven, Pistia stratiotes L., Myriophyllum aquaticum (Vell.) Verdc.)"
 ]
}

 The dataset includes 4065 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005510-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive4901.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4902.20250331.9.3
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073107.10fu
title: SH0073107.10FU

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: 10.13145/bacdive4902.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073108.10fu
title: SH0073108.10FU

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: 10.13145/bacdive4903.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4903.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073109.10fu
title: SH0073109.10FU

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.dsv9gz
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Momordica charantia",
 "Year 1960-2000"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076384-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive4904.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4904.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073110.10fu
title: SH0073110.10FU

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: 10.13145/bacdive4905.20241212.9.2
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0073111.10fu
title: SH0073111.10FU

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: 10.13145/bacdive4905.20251217.10
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive4906.20250331.9.3
title: Escherichia coli (Migula 1895) Castellani and Chalmers 1919

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.