cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive153877.20251217.10
title: Staphylococcus equorum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140925.10fu
title: SH0140925.10FU

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/bacdive153878.20241212.9.2
title: Actinomyces graevenitzii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153878.20251217.10
title: Actinomyces graevenitzii

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140926.10fu
title: SH0140926.10FU

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/bacdive153879.20241212.9.2
title: Vibrio fluvialis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153879.20251217.10
title: Vibrio fluvialis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140927.10fu
title: SH0140927.10FU

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/bacdive153880.20241212.9.2
title: Eggerthella lenta

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive153880.20251217.10
title: Eggerthella lenta

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0140928.10fu
title: SH0140928.10FU

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: 10.5281/zenodo.14562208
title: Dataset for Road-river intersections (bridges) negatively affect plant species diversity and ecological attributes

description: This dataset was analysed and discussed in the scientific paper "Road-river intersections (bridges) negatively affect plant species diversity and ecological attributes" published in Applied Vegetation Science.
DOI: 10.5281/zenodo.14562209
title: Dataset for Road-river intersections (bridges) negatively affect plant species diversity and ecological attributes

description: This dataset was analysed and discussed in the scientific paper "Road-river intersections (bridges) negatively affect plant species diversity and ecological attributes" published in Applied Vegetation Science.
DOI: 10.15468/dl.jm6bhs
title: Occurrence Download

description: A dataset containing 7821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Isodontia mexicana (de Saussure, 1867)"
 ]
}

 The dataset includes 7821 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049895-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xq5p5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora linearistipula L.K.Escobar"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049896-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqy3zs
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nylanderia pubens (Forel, 1893)"
 ]
}

 The dataset includes 80 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049897-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14562204
title: Different Search Strategies IRS

description:  













Effective search methods are crucial for obtaining precise and pertinent information from databases, search engines, and other digital repositories. This paper examines a variety of search techniques, such as Boolean searching, proximity searching, range searching, limiting searching, advanced searching, and truncation searching, all of which improve the accuracy and efficiency of information retrieval. Boolean searching utilizes logical operators (AND, OR, NOT) to refine search outcomes, while proximity searching emphasizes finding terms within a specified distance. Range searching is beneficial for querying numeric or date-related data, and limiting searching allows users to filter results based on established criteria like publication date or document type. Advanced searching merges multiple filters and fields for specific queries, and truncation searching permits the inclusion of word variations using symbols such as the asterisk (*). These methods empower users to customize their searches, ensuring the acquisition of the most relevant and precise results in a time-saving manner.
DOI: 10.5281/zenodo.14562205
title: Different Search Strategies IRS

description:  













Effective search methods are crucial for obtaining precise and pertinent information from databases, search engines, and other digital repositories. This paper examines a variety of search techniques, such as Boolean searching, proximity searching, range searching, limiting searching, advanced searching, and truncation searching, all of which improve the accuracy and efficiency of information retrieval. Boolean searching utilizes logical operators (AND, OR, NOT) to refine search outcomes, while proximity searching emphasizes finding terms within a specified distance. Range searching is beneficial for querying numeric or date-related data, and limiting searching allows users to filter results based on established criteria like publication date or document type. Advanced searching merges multiple filters and fields for specific queries, and truncation searching permits the inclusion of word variations using symbols such as the asterisk (*). These methods empower users to customize their searches, ensuring the acquisition of the most relevant and precise results in a time-saving manner.
DOI: 10.15468/dl.4e4gmj
title: Occurrence Download

description: A dataset containing 13665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser caerulescens (Linnaeus, 1758)",
 "Year 2010-2010"
 ]
}

 The dataset includes 13665 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049898-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tj2ar9
title: Occurrence Download

description: A dataset containing 5695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (January, February)",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser caerulescens (Linnaeus, 1758)",
 "Year 2011-2011"
 ]
}

 The dataset includes 5695 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049899-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/e5813ae809e34074
title: Custom collection of categorize data from Schneefernerhaus between 1 Jan and 31 Dec 2015
DOI: 10.15468/dl.nrhh77
title: Occurrence Download

description: A dataset containing 1226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvinia natans (L.) All."
 ]
}

 The dataset includes 1226 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049900-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mptbtd
title: Occurrence Download

description: A dataset containing 1226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvinia natans (L.) All."
 ]
}

 The dataset includes 1226 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049902-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqx5g4
title: Occurrence Download

description: A dataset containing 3828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anathallis Barb.Rodr."
 ]
}

 The dataset includes 3828 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049901-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49dpe7
title: Occurrence Download

description: A dataset containing 7390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.563 35.98473,-5.02867 36.4159,-4.55372 36.4159,-4.31624 36.68616,-3.12886 36.57499,-2.17895 36.73375,-2.08 36.93966,-2.49559 37.85152,-2.51538 38.10111,-3.20802 38.27222,-3.70276 38.42742,-5.34531 38.42742,-5.82026 38.42742,-6.43375 38.27222,-6.9087 38.13225,-7.18576 37.97642,-7.38365 37.74206,-7.42323 37.49125,-7.36386 37.19231,-7.06702 37.16078,-6.65143 36.90802,-6.43375 36.5591,-6.1369 36.11273,-5.563 35.98473))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (NT, VU, EN, CR)"
 ]
}

 The dataset includes 7390 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049903-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/097f4e59bddc4b55
title: Custom collection of categorize data from Leipzig between 2 Feb and 31 Dec 2015
DOI: 10.6084/m9.figshare.25739755
title: Identifying receptor-like kinases that enable <i>Caulobacter</i> RHG1 to promote plant growth in <i>Arabidopsis thaliana</i>

description: Plants express an array of receptor-like kinases (RLKs) to control development and communicate with their environment. Many RLKs are uncharacterized and some of them are expected to regulate plant responses to plant growth-promoting rhizobacteria (PGPR). Despite documented effects induced by <i>Caulobacter</i> RHG1, the underlying signaling pathways and the involved RLKs remain uncharted. Through a targeted RLK mutant screening, we aimed to decipher the receptors that steer the <i>Caulobacter</i> RHG1-induced growth promotion in <i>Arabidopsis thaliana</i>. We identified four RLKs that are pivotal in the RHG1-<i>Arabidopsis</i> interaction, including the coreceptors SOMATIC EMBRYOGENESIS RECEPTOR-LIKE KINASE 1 (SERK1) and BRASSINOSTEROID INSENSITIVE 1-ASSOCIATED KINASE 1 (BAK1/SERK3), which act redundantly in the RHG1-Arabidopsis interaction, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related ELONGATION FACTOR-TU RECEPTOR (EFR). These results shed new light on the molecular dynamics orchestrating plant responses to PGPR, and concurrently contribute a crucial piece to the intricate puzzle of RLK interactions. <b>Key policy highlights</b>Four RLKs; BAK1, SERK1, EFR, and AT3G28040 (RRHG) are involved in the RHG1-<i>Arabidopsis</i> interaction.BAK1 and SERK1, two well-described co-receptors, act redundantly and play a pivotal role in the RHG1-driven growth promotion, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related RLK EFR.Most known development – and immunity-related RLKs barely influence RHG1-driven plant growth promotion in <i>Arabidopsis</i>. Four RLKs; BAK1, SERK1, EFR, and AT3G28040 (RRHG) are involved in the RHG1-<i>Arabidopsis</i> interaction. BAK1 and SERK1, two well-described co-receptors, act redundantly and play a pivotal role in the RHG1-driven growth promotion, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related RLK EFR. Most known development – and immunity-related RLKs barely influence RHG1-driven plant growth promotion in <i>Arabidopsis</i>.
DOI: 10.6084/m9.figshare.25739755.v1
title: Identifying receptor-like kinases that enable <i>Caulobacter</i> RHG1 to promote plant growth in <i>Arabidopsis thaliana</i>

description: Plants express an array of receptor-like kinases (RLKs) to control development and communicate with their environment. Many RLKs are uncharacterized and some of them are expected to regulate plant responses to plant growth-promoting rhizobacteria (PGPR). Despite documented effects induced by <i>Caulobacter</i> RHG1, the underlying signaling pathways and the involved RLKs remain uncharted. Through a targeted RLK mutant screening, we aimed to decipher the receptors that steer the <i>Caulobacter</i> RHG1-induced growth promotion in <i>Arabidopsis thaliana</i>. We identified four RLKs that are pivotal in the RHG1-<i>Arabidopsis</i> interaction, including the coreceptors SOMATIC EMBRYOGENESIS RECEPTOR-LIKE KINASE 1 (SERK1) and BRASSINOSTEROID INSENSITIVE 1-ASSOCIATED KINASE 1 (BAK1/SERK3), which act redundantly in the RHG1-Arabidopsis interaction, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related ELONGATION FACTOR-TU RECEPTOR (EFR). These results shed new light on the molecular dynamics orchestrating plant responses to PGPR, and concurrently contribute a crucial piece to the intricate puzzle of RLK interactions. <b>Key policy highlights</b>Four RLKs; BAK1, SERK1, EFR, and AT3G28040 (RRHG) are involved in the RHG1-<i>Arabidopsis</i> interaction.BAK1 and SERK1, two well-described co-receptors, act redundantly and play a pivotal role in the RHG1-driven growth promotion, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related RLK EFR.Most known development – and immunity-related RLKs barely influence RHG1-driven plant growth promotion in <i>Arabidopsis</i>. Four RLKs; BAK1, SERK1, EFR, and AT3G28040 (RRHG) are involved in the RHG1-<i>Arabidopsis</i> interaction. BAK1 and SERK1, two well-described co-receptors, act redundantly and play a pivotal role in the RHG1-driven growth promotion, possibly by interplaying with the unknown RLK AT3G28040 and the immunity-related RLK EFR. Most known development – and immunity-related RLKs barely influence RHG1-driven plant growth promotion in <i>Arabidopsis</i>.
DOI: 10.6084/m9.figshare.26861665
title: Transcriptome analysis of maize resistance to <i>Fusarium verticillioides</i>

description: Maize (<i>Zea mays</i>) is a crucial crop for both food and economic purposes. <i>Fusarium verticillioides</i> is known to cause ear rot in corn, leading to a reduction in corn yield. Understanding the regulatory network of maize resistance to this ear rot is crucial for identifying key genes associated with disease resistance. The study revealed that inbred line J1259 exhibited resistance to <i>Fusarium verticillioides</i> by increasing the activities of POD and CAT enzymes. Transcriptome analysis at 48 and 96 hours post-infection with <i>Fusarium verticillioides</i> revealed a large number of DEGs involved in plant-pathogen interactions, MAPK signaling pathways-plants and plant hormone signaling were significant up-regulated. Additionally, transcription factors related to hormone signaling, particularly the ARF family involved in auxin regulation, were enriched. These results lay a foundation for further investigations into the mechanisms underlying the disease resistance response of J1259.
DOI: 10.6084/m9.figshare.25379655
title: Metabolic response of peanut (<i>Arachis hypogaea</i> L.) to <i>Sclerotium rolfsii</i> Sacc. in root exudates system

description: In the current study the metabolic response of peanut root exudates to <i>Sclerotium rolfsii Sacc</i>. infection was analyzed in plant-pathogen interaction systems. The analytical methodology employed in this study entailed the utilization of ultra-high-performance liquid chromatography coupled with tandem quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) in relation to metabolomics. The experimental findings have demonstrated that pathogen infection induces significant variations in both the composition and abundance of peanut root exudates. A total of 322 metabolites were identified in peanut root exudates, among which 19 metabolites showed significant differences under pathogen infection. The results of the orthogonal partial least squares score discriminant analysis (OPLS) and hierarchical cluster analysis (HCA) plots clearly demonstrated that the metabolic profiling effectively distinguished between peanut plants inoculated with <i>S. rolfsii Sacc</i>. and the healthy control plants that were not inoculated. Pathogen infection is associated with five metabolic pathways, the most correlated being arginine and proline metabolism and ABC transporters.
DOI: 10.6084/m9.figshare.25379655.v1
title: Metabolic response of peanut (<i>Arachis hypogaea</i> L.) to <i>Sclerotium rolfsii</i> Sacc. in root exudates system

description: In the current study the metabolic response of peanut root exudates to <i>Sclerotium rolfsii Sacc</i>. infection was analyzed in plant-pathogen interaction systems. The analytical methodology employed in this study entailed the utilization of ultra-high-performance liquid chromatography coupled with tandem quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) in relation to metabolomics. The experimental findings have demonstrated that pathogen infection induces significant variations in both the composition and abundance of peanut root exudates. A total of 322 metabolites were identified in peanut root exudates, among which 19 metabolites showed significant differences under pathogen infection. The results of the orthogonal partial least squares score discriminant analysis (OPLS) and hierarchical cluster analysis (HCA) plots clearly demonstrated that the metabolic profiling effectively distinguished between peanut plants inoculated with <i>S. rolfsii Sacc</i>. and the healthy control plants that were not inoculated. Pathogen infection is associated with five metabolic pathways, the most correlated being arginine and proline metabolism and ABC transporters.