cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x3pg67
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Serpenticobitis cingulata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042396-250811113504898/datasets/export for details.
DOI: 10.15468/dl.tgf7gu
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 814 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042397-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86kw9e
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 378 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042398-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk2ad2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042399-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.28491242
title: Failure Mode and Effects Analysis Method on the Air System of an Aircraft Turbofan Engine in Multi-Criteria Open Group Decision-Making Environment

description: Failure mode and effects analysis (FMEA), an proactive risk management approach, has been widely applied in a variety of industries, especially in aircraft industry. In the process of implementation, the influence and uncertainty among different experts is inevitable. In order to handle the uncertainty in the assessments of FMEA experts, Dempster-Shafer evidence theory was introduced to FMEA for its flexibility and superiority in coping with uncertain and subjective assessments. However, traditional Dempster combination rule have difficulty in dealing with highly conflicting evidence that given from FMEA experts’ assessments. Moreover, experts themselves may influence each other though process such as chatting, judging, decision-making and voting. In this paper, we explore the problem of conflict evidence fusion from a correlation perspective among FMEA experts. We use ambiguity measure and Gaussian distribution to deal with the highly conflicting evidence. We use ambiguity measure to calculate the variance of Gaussian distribution. Then, we use Gaussian model to generalize expert assessments. After that, we use Dempster combination rule to fuze assessments from different experts. Finally, we calculate the risk priority number to rank the risk level of the FMEA items. The experiment results in the air system of an aircraft turbofan engine shows the efficiency and accuracy of the proposed method.
DOI: 10.6084/m9.figshare.28491242.v1
title: Failure Mode and Effects Analysis Method on the Air System of an Aircraft Turbofan Engine in Multi-Criteria Open Group Decision-Making Environment

description: Failure mode and effects analysis (FMEA), an proactive risk management approach, has been widely applied in a variety of industries, especially in aircraft industry. In the process of implementation, the influence and uncertainty among different experts is inevitable. In order to handle the uncertainty in the assessments of FMEA experts, Dempster-Shafer evidence theory was introduced to FMEA for its flexibility and superiority in coping with uncertain and subjective assessments. However, traditional Dempster combination rule have difficulty in dealing with highly conflicting evidence that given from FMEA experts’ assessments. Moreover, experts themselves may influence each other though process such as chatting, judging, decision-making and voting. In this paper, we explore the problem of conflict evidence fusion from a correlation perspective among FMEA experts. We use ambiguity measure and Gaussian distribution to deal with the highly conflicting evidence. We use ambiguity measure to calculate the variance of Gaussian distribution. Then, we use Gaussian model to generalize expert assessments. After that, we use Dempster combination rule to fuze assessments from different experts. Finally, we calculate the risk priority number to rank the risk level of the FMEA items. The experiment results in the air system of an aircraft turbofan engine shows the efficiency and accuracy of the proposed method.
DOI: 10.15468/dl.dkr5gk
title: Occurrence Download

description: A dataset containing 880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Anopheles collections in the health districts of Korhogo (Côte d'Ivoire) and Diébougou (Burkina Faso) (2016-2018)",
 "EventId is 1yay1"
 ]
}

 The dataset includes 880 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042400-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spc2q5
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Attonitus bounites)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042401-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9k7w-v820
title: "ODUTF image dataset for RoboCup@Home Brasil"

description: "For service robots operating in domestic environments, high-level intelligent behaviors require a comprehensive understanding of objects through visual perception. The random placement of objects introduces variations that impact the accuracy of object detection and recognition. This study presents a novel method for automatically generating a concise image dataset, named the Object Dataset Federal University of Technology (ODUTF), to enhance intelligent behaviors in service robots to focus on domestic tasks. The dataset is produced using an automatic multicapture device that gathers RGB images, stereo information, depth images, and point-cloud data."
DOI: 10.15468/dl.z9k3gt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042402-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d76rr2
title: Occurrence Download

description: A dataset containing 1283759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthocerotophyta, Marchantiophyta)",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1283759 records from 943 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042382-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cqx2v
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042403-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujvjeq
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042404-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13619198
title: Context-dependent effects of deer on aboveground carbon stocks in the regenerative tree layer in temperate and boreal forests: a meta-analysis

description: Herbivores, including deer (Cervidae), influence ecosystem functions and carbon cycling by affecting vegetation structure and composition. Given the increase in deer populations in Europe and North America, there is growing interest in their impact on carbon dynamics in temperate and boreal forests. We investigated the effects of deer on carbon stored in the seedling and sapling layer through two mechanisms: (1) deer affecting the overall aboveground woody biomass in these strata and (2) deer changing the composition of tree species in these strata, because species differ in wood density and carbon content. We performed a meta-analysis of 17 datasets from 12 studies, assessing the effects of deer exclusion on aboveground carbon stocks within the seedling and sapling layer (≤3m) under two scenarios of carbon calculation, where we used either: (1) species-specific carbon content and wood density values (mean scenario) and (2) generic carbon content and wood density values (neutral scenario). Our results show that including species-specific wood density values in calculations had a minimal effect on the estimated impact of deer exclusion on carbon stocks compared to generic values, but that there was insufficient data on species-specific carbon content to determine its importance in calculating aboveground carbon stocks. Our results show that preventing deer herbivory did not have a consistent positive effect on aboveground carbon stocks in the regenerating forest layer, except in sites dominated by conifer saplings and boreal sites. Instead, the among-case variability in effects suggests a complex interaction between the impact of deer browsing and forest carbon. Understanding these interactions is vital to assess wildlife-carbon relations and to develop appropriate forest conservation approaches in response to growing deer populations.
DOI: 10.5281/zenodo.16941979
title: Context-dependent effects of deer on aboveground carbon stocks in the regenerative tree layer in temperate and boreal forests: a meta-analysis

description: Herbivores, including deer (Cervidae), influence ecosystem functions and carbon cycling by affecting vegetation structure and composition. Given the increase in deer populations in Europe and North America, there is growing interest in their impact on carbon dynamics in temperate and boreal forests. We investigated the effects of deer on carbon stored in the seedling and sapling layer through two mechanisms: (1) deer affecting the overall aboveground woody biomass in these strata and (2) deer changing the composition of tree species in these strata, because species differ in wood density and carbon content. We performed a meta-analysis of 17 datasets from 12 studies, assessing the effects of deer exclusion on aboveground carbon stocks within the seedling and sapling layer (≤3m) under two scenarios of carbon calculation, where we used either: (1) species-specific carbon content and wood density values (mean scenario) and (2) generic carbon content and wood density values (neutral scenario). Our results show that including species-specific wood density values in calculations had a minimal effect on the estimated impact of deer exclusion on carbon stocks compared to generic values, but that there was insufficient data on species-specific carbon content to determine its importance in calculating aboveground carbon stocks. Our results show that preventing deer herbivory did not have a consistent positive effect on aboveground carbon stocks in the regenerating forest layer, except in sites dominated by conifer saplings and boreal sites. Instead, the among-case variability in effects suggests a complex interaction between the impact of deer browsing and forest carbon. Understanding these interactions is vital to assess wildlife-carbon relations and to develop appropriate forest conservation approaches in response to growing deer populations.
DOI: 10.15468/dl.4e39jq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lethrinops stridei)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042407-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbzgjn
title: Occurrence Download

description: A dataset containing 10245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10245 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042410-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dd2p9m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Morocco",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042408-250811113504898/datasets/export for details.
DOI: 10.15468/dl.k2ygqv
title: Occurrence Download

description: A dataset containing 2336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2336 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042409-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmwje4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Encheloclarias baculum)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042412-250811113504898/datasets/export for details.
DOI: 10.15468/dl.v7rtfe
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 298 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042413-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7s2ayc
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 828 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042414-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22ddvy
title: Occurrence Download

description: A dataset containing 3550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.03792 53.26118,6.3847 53.26118,6.3847 53.45827,6.03792 53.45827,6.03792 53.26118))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Botaurus stellaris"
 ]
}

 The dataset includes 3550 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042415-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wek8s
title: Occurrence Download

description: A dataset containing 3550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.03792 53.26118,6.3847 53.26118,6.3847 53.45827,6.03792 53.45827,6.03792 53.26118))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Botaurus stellaris"
 ]
}

 The dataset includes 3550 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042416-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajjecf
title: Occurrence Download

description: A dataset containing 20682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20682 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042417-250811113504898/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.29825915
title: Research data（FA）

description: <i>Escherichia coli</i> (<i>E. coli</i>) is a severe foodborne pathogen, and the formation of its biofilm can enhance bacterial virulence and reduce antibiotic sensitivity, posing a significant threat to human and animal health. Ferulic Acid (FA) is a natural active product that has been proven to possess various biological activities, including anti-inflammatory, antioxidant, and antitumor properties. This study evaluated the inhibitory effect of FA on the biofilm formation of <i>E. coli</i> through crystal violet (CV) staining and scanning electron microscopy (SEM), and investigated the synergistic effect of FA with antibiotics using the alamar blue (AB) assay. In addition, the regulatory effect of FA on the transcription of biofilm-related genes was analyzed using qRT-PCR technology. The results showed that FA could significantly inhibit biofilm formation, reduce the production of extracellular polymeric substances (EPS), and weaken bacterial motility, without affecting bacterial growth and metabolic activity. qRT-PCR analysis revealed that FA significantly downregulated the expression of curli-related gene <i>csgD</i>, flagella-related genes (<i>flhC</i>, <i>flhD</i>, and <i>motA</i>), and type I fimbriae gene <i>fimA</i>, while upregulating the transcription of c-di-GMP -related genes (<i>pdeR</i>, <i>pdeA</i>, and <i>dosP</i>). It is noteworthy that FA exhibits significant synergistic antibacterial effects when combined with clinically commonly used antibiotics, including sodium fosfomycin, ceftriaxone, gentamicin, and tetracycline, with the most prominent synergistic effect observed in the combination of FA and sodium fosfomycin. These results confirm that FA possesses notable anti-biofilm activity and novel synergistic antibacterial properties, providing a potential therapeutic strategy for treating <i>E. coli</i> infections.
DOI: 10.6084/m9.figshare.29825915.v2
title: Research data（FA）

description: <i>Escherichia coli</i> (<i>E. coli</i>) is a severe foodborne pathogen, and the formation of its biofilm can enhance bacterial virulence and reduce antibiotic sensitivity, posing a significant threat to human and animal health. Ferulic Acid (FA) is a natural active product that has been proven to possess various biological activities, including anti-inflammatory, antioxidant, and antitumor properties. This study evaluated the inhibitory effect of FA on the biofilm formation of <i>E. coli</i> through crystal violet (CV) staining and scanning electron microscopy (SEM), and investigated the synergistic effect of FA with antibiotics using the alamar blue (AB) assay. In addition, the regulatory effect of FA on the transcription of biofilm-related genes was analyzed using qRT-PCR technology. The results showed that FA could significantly inhibit biofilm formation, reduce the production of extracellular polymeric substances (EPS), and weaken bacterial motility, without affecting bacterial growth and metabolic activity. qRT-PCR analysis revealed that FA significantly downregulated the expression of curli-related gene <i>csgD</i>, flagella-related genes (<i>flhC</i>, <i>flhD</i>, and <i>motA</i>), and type I fimbriae gene <i>fimA</i>, while upregulating the transcription of c-di-GMP -related genes (<i>pdeR</i>, <i>pdeA</i>, and <i>dosP</i>). It is noteworthy that FA exhibits significant synergistic antibacterial effects when combined with clinically commonly used antibiotics, including sodium fosfomycin, ceftriaxone, gentamicin, and tetracycline, with the most prominent synergistic effect observed in the combination of FA and sodium fosfomycin. These results confirm that FA possesses notable anti-biofilm activity and novel synergistic antibacterial properties, providing a potential therapeutic strategy for treating <i>E. coli</i> infections.