cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.q44cpp
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "TaxonKey is Presbytis siamensis (Müller & Schlegel, 1841)"
 ]
}

 The dataset's 4 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077620-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jq66p
title: CCDC 2345032: Experimental Crystal Structure Determination

description: Related Article: Changjiang Yu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq67q
title: CCDC 2345033: Experimental Crystal Structure Determination

description: Related Article: Changjiang Yu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jq68r
title: CCDC 2345034: Experimental Crystal Structure Determination

description: Related Article: Changjiang Yu|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ng9agc
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phytolacca latbenia (Buch.-Ham. ex Wall.) Maxim."
 ]
}

 The dataset includes 35 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077672-240321170329656/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.25517710
title: SRHR Illiterate adolescents Datasets

description: In Rwanda, as of 2021, the percentage of illiterate adolescents among adolescents aged between 15-24 was 13%. Despite the high rate of illiteracy among adolescents and the unique challenges they face when accessing health services, there is no single study that has looked at their access and utilization of sexual and reproductive health services in Rwanda. Moreover, the global and regional literature on the accessibility and availability of adolescent sexual and reproductive health overlooks adolescents who are illiterate, a particularly high-risk group. Therefore, we used multiple approaches to understand how illiterate adolescents access sexual and reproductive health services to inform policies to consider the unique challenges this particular group faces.
DOI: 10.6084/m9.figshare.25517710.v1
title: SRHR Illiterate adolescents Datasets

description: In Rwanda, as of 2021, the percentage of illiterate adolescents among adolescents aged between 15-24 was 13%. Despite the high rate of illiteracy among adolescents and the unique challenges they face when accessing health services, there is no single study that has looked at their access and utilization of sexual and reproductive health services in Rwanda. Moreover, the global and regional literature on the accessibility and availability of adolescent sexual and reproductive health overlooks adolescents who are illiterate, a particularly high-risk group. Therefore, we used multiple approaches to understand how illiterate adolescents access sexual and reproductive health services to inform policies to consider the unique challenges this particular group faces.
DOI: 10.6084/m9.figshare.25517752
title: Script to quiery GBIF and get the names of species in each genera that contain sound producing species from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517755
title: Names of the aquatic insect genera that contain sound producing species and were queried in GBIF from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517755.v1
title: Names of the aquatic insect genera that contain sound producing species and were queried in GBIF from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517758
title: Script to get counts of missing values and generate graphs for figure 1 from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517758.v1
title: Script to get counts of missing values and generate graphs for figure 1 from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517761
title: Species that are within the genera expected to produce sounds from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517761.v1
title: Species that are within the genera expected to produce sounds from The potential of acoustic monitoring of aquatic insects for freshwater assessment

description: Aquatic insects are a major indicator used to assess ecological condition in freshwater environments. Yet current methods to collect and identify aquatic insects require advanced taxonomic expertise and rely on invasive techniques that lack spatio-temporal replication. Passive Acoustic Monitoring (PAM) is emerging as a non-invasive complementary sampling method allowing broad spatio-temporal and taxonomic coverage. The application of PAM in freshwater ecosystems has already proven useful, revealing unexpected acoustic diversity produced by fish, amphibians, submerged aquatic plants, and aquatic insects. However, the identity of species producing sounds remains largely unknown. Among them, aquatic insects appear to be the major contributor to freshwater soundscapes. Here, we estimate the potential number of soniferous aquatic insects worldwide using data from the Global Biodiversity Information Facility. We found that four aquatic insect orders produce sounds totalling over 7000 species. This number is likely underestimated due to poor knowledge of aquatic insects bioacoustics. We then assess the value of sound producing aquatic insects to evaluate ecological condition and find that they might be useful despite having similar responses in pristine and degraded environments in some cases. Both expert and automated identifications will be necessary to build international reference libraries and to conduct acoustic bioassessment in freshwaters.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.14468/k38c-4687
title: IRVB (radiative emissivity) inversions for MAST-U #47958

description: Radiative emissivities obtained from the IRVB diagnostic (F. Federici, et al. 2023, Rev. Sci Instrum), after a Bayesian inversion is performed.
description: Programme Area:Tokamak Science
DOI: 10.5281/zenodo.10900913
title: IRVB data for the paper "Investigations of atomic & molecular processes of NBI-heated discharges in the MAST Upgrade Super-X divertor with implications for reactors"

description: Data from the MASTU IRVB for the shot 47958, used in the paper "Investigations of atomic & molecular processes of NBI-heated discharges in the MAST Upgrade Super-X divertor with implications for reactors"

 

The code is meant to be used with the scripts from:

https://github.com/ciozzaman/IRVB
DOI: 10.5281/zenodo.10903970
title: cataglyphis_mauritanica_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10903971
title: cataglyphis_mauritanica_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25517773.v1
title: Original database from Towards acoustic monitoring of bees: wingbeat sounds are related to species and individual traits

description: Global pollinator decline urgently requires effective methods to assess their trends, distribution and behaviour. Passive acoustics is a non-invasive and cost-efficient monitoring tool increasingly employed for monitoring animal communities. However, insect sounds remain highly unexplored, hindering the application of this technique for pollinators. To overcome this shortfall and support future developments, we recorded and characterized wingbeat sounds of a variety of Iberian domestic and wild bees and tested their relationship with taxonomic, morphological, behavioural and environmental traits at inter- and intra-specific levels. Using directional microphones and machine learning, we shed light on the acoustic signature of bee wingbeat sounds and their potential to be used for species identification and monitoring. Our results revealed that frequency of wingbeat sounds is negatively related with body size and environmental temperature (between-species analysis), while positively related with experimentally induced stress conditions (within-individual analysis). We also found a characteristic acoustic signature in the European honeybee that supported automated classification of this bee from a pool of wild bees, paving the way for passive acoustic monitoring of pollinators. Overall, these findings confirm that insect sounds during flight activity can provide insights on individual and species traits, and hence suggest novel and promising applications for this endangered animal group.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.6084/m9.figshare.25517773
title: Original database from Towards acoustic monitoring of bees: wingbeat sounds are related to species and individual traits

description: Global pollinator decline urgently requires effective methods to assess their trends, distribution and behaviour. Passive acoustics is a non-invasive and cost-efficient monitoring tool increasingly employed for monitoring animal communities. However, insect sounds remain highly unexplored, hindering the application of this technique for pollinators. To overcome this shortfall and support future developments, we recorded and characterized wingbeat sounds of a variety of Iberian domestic and wild bees and tested their relationship with taxonomic, morphological, behavioural and environmental traits at inter- and intra-specific levels. Using directional microphones and machine learning, we shed light on the acoustic signature of bee wingbeat sounds and their potential to be used for species identification and monitoring. Our results revealed that frequency of wingbeat sounds is negatively related with body size and environmental temperature (between-species analysis), while positively related with experimentally induced stress conditions (within-individual analysis). We also found a characteristic acoustic signature in the European honeybee that supported automated classification of this bee from a pool of wild bees, paving the way for passive acoustic monitoring of pollinators. Overall, these findings confirm that insect sounds during flight activity can provide insights on individual and species traits, and hence suggest novel and promising applications for this endangered animal group.This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.
DOI: 10.15468/dl.94syfs
title: Occurrence Download

description: A dataset containing 142148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinguicula vulgaris L."
 ]
}

 The dataset includes 142148 records from 679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077653-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fx4e6j
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platostoma hispidum (L.) A.J.Paton"
 ]
}

 The dataset includes 196 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077673-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymrddw
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa cookii (Hook.f.) Hook.f."
 ]
}

 The dataset includes 389 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077678-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgqffx
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Heloderma suspectum Cope, 1869"
 ]
}

 The dataset includes 345 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077677-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ug9y6
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Presbytis siamensis (Müller & Schlegel, 1841)"
 ]
}

 The dataset includes 264 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077679-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.