cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.v4dzhz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.735567 -34.430876, 148.735567 -34.435368, 148.733321 -34.435368, 148.733321 -34.437614, 148.735567 -34.437614, 148.735567 -34.43986, 148.737813 -34.43986, 148.737813 -34.437614, 148.742304 -34.437614, 148.742304 -34.435368, 148.74455 -34.435368, 148.74455 -34.430876, 148.735567 -34.430876)), ((148.737813 -34.43986, 148.737813 -34.446597, 148.735567 -34.446597, 148.735567 -34.451089, 148.742304 -34.451089, 148.742304 -34.446597, 148.74455 -34.446597, 148.74455 -34.444351, 148.742304 -34.444351, 148.742304 -34.43986, 148.737813 -34.43986)), ((148.742304 -34.43986, 148.749042 -34.43986, 148.749042 -34.437614, 148.742304 -34.437614, 148.742304 -34.43986)))"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071265-240626123714530/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.26739507
title: Additional file 2 of Immune evasion impacts the landscape of driver genes during cancer evolution

description: Additional file 2. The file contains supplementary tables (Tables S1-S6).
DOI: 10.5281/zenodo.13332336
title: Dataset of "Exploring the Landscape and Severity of Distributed Denial of Service Attacks"

description: The Internet of Things and Operational Technology technologies allow the Internet to be connected to a wide range of devices. The use of the Internet not only enables the management of these connected devices and the transmission of information through various devices but also exposes them to security threats. These threats include, but are not limited to, Denial of Service (DoS) attacks. Some attacks target specific types of devices, services, or web server versions. In this paper, we have enumerated and compared the most well-known (D)DoS attacks. Our paper provides a wide area of (D)DoS attacks sorted by ISO/OSI layers. Each listed attack is described, detection and mitigation techniques are presented, and a simulation tool capable of generating attacks is also presented. In total, we have focused on 46 attacks. In addition, a simulation of selected DoS, DDoS, and slow DoS attacks is carried out in an experimental setup workstation, and the impacts are compared.
DOI: 10.5281/zenodo.13332337
title: Dataset of "Exploring the Landscape and Severity of Distributed Denial of Service Attacks"

description: The Internet of Things and Operational Technology technologies allow the Internet to be connected to a wide range of devices. The use of the Internet not only enables the management of these connected devices and the transmission of information through various devices but also exposes them to security threats. These threats include, but are not limited to, Denial of Service (DoS) attacks. Some attacks target specific types of devices, services, or web server versions. In this paper, we have enumerated and compared the most well-known (D)DoS attacks. Our paper provides a wide area of (D)DoS attacks sorted by ISO/OSI layers. Each listed attack is described, detection and mitigation techniques are presented, and a simulation tool capable of generating attacks is also presented. In total, we have focused on 46 attacks. In addition, a simulation of selected DoS, DDoS, and slow DoS attacks is carried out in an experimental setup workstation, and the impacts are compared.
DOI: 10.6084/m9.figshare.26748740
title: Additional file 3 of METASEED: a novel approach to full-length 16S rRNA gene reconstruction from short read data

description: Additional file 3. Read count for 100 centroid sequences that was used for the METASEED analysis.
DOI: 10.15468/dl.mx68u6
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.835621 -34.430876, 146.833375 -34.430876, 146.833375 -34.435368, 146.828884 -34.435368, 146.828884 -34.437614, 146.835621 -34.437614, 146.835621 -34.446597, 146.840113 -34.446597, 146.840113 -34.43986, 146.842358 -34.43986, 146.842358 -34.428631, 146.84685 -34.428631, 146.84685 -34.421893, 146.840113 -34.421893, 146.840113 -34.428631, 146.835621 -34.428631, 146.835621 -34.430876), (146.835621 -34.430876, 146.840113 -34.430876, 146.840113 -34.435368, 146.835621 -34.435368, 146.835621 -34.430876))"
 ]
}

 The dataset includes 188 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071266-240626123714530/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.26739507.v1
title: Additional file 2 of Immune evasion impacts the landscape of driver genes during cancer evolution

description: Additional file 2. The file contains supplementary tables (Tables S1-S6).
DOI: 10.6084/m9.figshare.26741753
title: Additional file 1 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 1.
DOI: 10.6084/m9.figshare.26742824
title: Additional file 2 of The efficacy of simple oral nutritional supplements versus usual care in postoperative patients with gastric cancer: study protocol for a multicenter, open-label, parallel, randomized controlled trial

description: Supplementary file 2.
DOI: 10.6084/m9.figshare.26741759.v1
title: Additional file 3 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 3.
DOI: 10.6084/m9.figshare.26748542.v1
title: Additional file 4 of Proteomic insights into extracellular vesicles in ALS for therapeutic potential of Ropinirole and biomarker discovery

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26741777.v1
title: Additional file 9 of Integrative multi-omics analysis unravels the host response landscape and reveals a serum protein panel for early prognosis prediction for ARDS

description: Additional file 9.
DOI: 10.6084/m9.figshare.26748533.v1
title: Additional file 1 of Proteomic insights into extracellular vesicles in ALS for therapeutic potential of Ropinirole and biomarker discovery

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26742824.v1
title: Additional file 2 of The efficacy of simple oral nutritional supplements versus usual care in postoperative patients with gastric cancer: study protocol for a multicenter, open-label, parallel, randomized controlled trial

description: Supplementary file 2.
DOI: 10.6084/m9.figshare.26742878.v1
title: Additional file 2 of Association between childhood family structure and longitudinal health behaviour changes in adulthood –Northern Finland birth cohort 1966 study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26742833.v1
title: Additional file 3 of Genomic characterization of Klebsiella pneumoniae carbapenemase-producing Klebsiella pneumoniae (KPC-Kp) strains circulating in three university hospitals in Northern Italy over three years

description: Additional file 3: Supplementary material 2. List of samples sequenced in this study and relative accession numbers on ENA.
DOI: 10.6084/m9.figshare.26748764.v1
title: Additional file 2 of Genetic Dissection of Major Rice QTLs for Strong Culms and Fine Mapping of qWS5 for Breeding Application in Transplanted System

description: Additional file 2: Table S1. Markers used in this study for linkage analysis of qWS5, qPL6 and ipa1-2D. Table S2. Correlation of five traits from RILs in Yangzhou. Table S3. Correlation of five traits from RILs in Hainan. Table S4. The trait values of HIF-NILs with different segments at different generations.
DOI: 10.15468/dl.jy8kp3
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.413411 -34.428631, 146.413411 -34.435368, 146.417902 -34.435368, 146.417902 -34.437614, 146.402182 -34.437614, 146.402182 -34.451089, 146.404428 -34.451089, 146.404428 -34.446597, 146.411165 -34.446597, 146.411165 -34.453334, 146.413411 -34.453334, 146.413411 -34.45558, 146.420148 -34.45558, 146.420148 -34.453334, 146.417902 -34.453334, 146.417902 -34.444351, 146.420148 -34.444351, 146.420148 -34.446597, 146.422394 -34.446597, 146.422394 -34.437614, 146.420148 -34.437614, 146.420148 -34.428631, 146.413411 -34.428631), (146.404428 -34.43986, 146.411165 -34.43986, 146.411165 -34.444351, 146.404428 -34.444351, 146.404428 -34.43986))"
 ]
}

 The dataset includes 37 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071267-240626123714530/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.26740406.v1
title: Additional file 8 of Generation and transcriptomic characterization of MIR137 knockout miniature pig model for neurodevelopmental disorders

description: Supplementary material 8: Table 5. Predicted miR-137 target genes in human and mouse.
DOI: 10.6084/m9.figshare.26740397.v1
title: Additional file 5 of Generation and transcriptomic characterization of MIR137 knockout miniature pig model for neurodevelopmental disorders

description: Supplementary material 5: Table 2. Loss-of-miR-137-induced DEGs in miniature pig brain, mouse brain and hiPSC-derived neurons.
DOI: 10.6084/m9.figshare.26743106.v1
title: Additional file 6 of Stable estimation of the Gutenberg–Richter b-values by the b-positive method: a case study of aftershock zones for magnitude-7 class earthquakes

description: Supplementary Material 6.
DOI: 10.15468/dl.upzrdw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((122.97571 -9.01282,153.02429 -9.01282,153.02429 3.01282,122.97571 3.01282,122.97571 -9.01282))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Litoria havina Menzies, 1993"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071269-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dst6c4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, Thailand)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron formosum Wall."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071268-240626123714530/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.26742950.v1
title: Additional file 5 of Metabolomic and transcriptomic analyses of peach leaves and fruits in response to pruning

description: Supplementary Material 5: Supplemental Table S5. DEGs in the fruits undergoing pruning
DOI: 10.6084/m9.figshare.26742941.v1
title: Additional file 2 of Metabolomic and transcriptomic analyses of peach leaves and fruits in response to pruning

description: Supplementary Material 2: Supplemental Table S2. Sequencing data statistics
DOI: 10.6084/m9.figshare.26742947.v1
title: Additional file 4 of Metabolomic and transcriptomic analyses of peach leaves and fruits in response to pruning

description: Supplementary Material 4: Supplemental Table S4. DEGs in the leaves undergoing pruning
DOI: 10.15156/bio/sh0196998.10fu
title: SH0196998.10FU

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/sh0196999.10fu
title: SH0196999.10FU

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/sh0197000.10fu
title: SH0197000.10FU

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/sh0197001.10fu
title: SH0197001.10FU

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/sh0197002.10fu
title: SH0197002.10FU

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/sh0197003.10fu
title: SH0197003.10FU

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/sh0197004.10fu
title: SH0197004.10FU

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/sh0197005.10fu
title: SH0197005.10FU

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/sh0197006.10fu
title: SH0197006.10FU

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/sh0197007.10fu
title: SH0197007.10FU

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.