cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive8924.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076969.10fu
title: SH0076969.10FU

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/bacdive8925.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8925.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076970.10fu
title: SH0076970.10FU

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/bacdive8926.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8926.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076971.10fu
title: SH0076971.10FU

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/bacdive8927.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8927.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076972.10fu
title: SH0076972.10FU

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/bacdive8928.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076973.10fu
title: SH0076973.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.rvavze
title: Occurrence Download

description: A dataset containing 32024 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodemus agrarius (Pallas, 1771)"
 ]
}

 The dataset includes 32024 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002388-250310093411724/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.28573908
title: Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes

description: We model spatially and temporally indexed point process data as a multi-level log-Gaussian Cox process where the log intensity function depends on a partially linear single-index structure of spatio-temporal covariates and three latent functional random effects representing the spatial and temporal random effects as well as their interactions. We assume that the latent functional effects are Gaussian processes with Karhunen-Loève representations, and model the unknown link function of the single-index as well as the covariance functions of the latent functional effects as splines. We propose to estimate the partially linear coefficients and the single-index link function using a Poisson maximum likelihood method, and the covariance functions of the latent processes using maximum composite likelihood methods. We also propose approaches to predict the functional principal component scores. Under the multi-level dependence structure and allowing the spatio-temporal covariates to be non-stationary, the proposed estimators follow rather unconventional convergence rates which depend on both the number of locations and the number of repeated measures in time. We illustrate the proposed methods through simulation studies and a real-data application in modeling bike-sharing events.
DOI: 10.15468/dl.9vbu8j
title: Occurrence Download

description: A dataset containing 31962 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Herminium L."
 ]
}

 The dataset includes 31962 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002390-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/3a718f3f-0830-41f5-bb8d-4f808597ac3a
title: Transcripts of co-creation sessions with design agencies. Underlying data for the article: Safe and sustainable by design: co-creating a design method for dealing with harmful substances in product design

description: This dataset corresponds to the research aim: <em> To co-create a Design for Substance Safety (DSS) method with and for design professionals. The DSS Method allows product designers to mitigate the risks generated by hazardous substances throughout the lifecycle of products. </em>Through the sessions, we identified procedural and functional requirements, contextual factors influencing the method's successful application, and actionable insights to produce and refine the new method framework. The resulting DSS Method provides a systematic, lifecycle-oriented approach for addressing SoC across various design scenarios.We conducted two co-creation sessions with three groups of professional designers (six sessions in total) during the months of November and December 2023. Each of the three groups consisted of 2-3 professional designers (total of 6-8 people). The participants were experienced designers (&gt;3 years) working at design agencies in the Netherlands. Experience with circular economy or sustainability was not a requirement. All participants signed an informed consent form, and the co-creation sessions were conducted following the protocols of human research ethics from Delft University of Technology. We followed well-established procedures for defining and conducting the co-creation sessions.The data was analysed as follows:1. We used a deductive approach to analyse the transcripts applying the pre-defined codes to quotes from the participants. This resulted in a collection of quotes for each of the codes. For this coding exercise we used the Atlas.ti software.2. After the codes were applied, we did a second coding exercise to identify sub-codes in each code cluster. This resulted in sets of sub-coded quotes, per code cluster. This exercise was also done using the Atlas.ti software. All coding exercises were performed separately by two researchers to later compare and validate results.3. Finally, we synthesized the quotes under each sub-code by analyzing and grouping them based on similarities. These were subsequently reinterpreted into recommendations and requests from the participants. Using these insights, we reformulated the sets of quotes into requirements for the development of the new version of the method.
DOI: 10.4121/3a718f3f-0830-41f5-bb8d-4f808597ac3a.v1
title: Transcripts of co-creation sessions with design agencies. Underlying data for the article: Safe and sustainable by design: co-creating a design method for dealing with harmful substances in product design

description: This dataset corresponds to the research aim: <em> To co-create a Design for Substance Safety (DSS) method with and for design professionals. The DSS Method allows product designers to mitigate the risks generated by hazardous substances throughout the lifecycle of products. </em>Through the sessions, we identified procedural and functional requirements, contextual factors influencing the method's successful application, and actionable insights to produce and refine the new method framework. The resulting DSS Method provides a systematic, lifecycle-oriented approach for addressing SoC across various design scenarios.We conducted two co-creation sessions with three groups of professional designers (six sessions in total) during the months of November and December 2023. Each of the three groups consisted of 2-3 professional designers (total of 6-8 people). The participants were experienced designers (&gt;3 years) working at design agencies in the Netherlands. Experience with circular economy or sustainability was not a requirement. All participants signed an informed consent form, and the co-creation sessions were conducted following the protocols of human research ethics from Delft University of Technology. We followed well-established procedures for defining and conducting the co-creation sessions.The data was analysed as follows:1. We used a deductive approach to analyse the transcripts applying the pre-defined codes to quotes from the participants. This resulted in a collection of quotes for each of the codes. For this coding exercise we used the Atlas.ti software.2. After the codes were applied, we did a second coding exercise to identify sub-codes in each code cluster. This resulted in sets of sub-coded quotes, per code cluster. This exercise was also done using the Atlas.ti software. All coding exercises were performed separately by two researchers to later compare and validate results.3. Finally, we synthesized the quotes under each sub-code by analyzing and grouping them based on similarities. These were subsequently reinterpreted into recommendations and requests from the participants. Using these insights, we reformulated the sets of quotes into requirements for the development of the new version of the method.
DOI: 10.17028/rd.lboro.28548128
title: "Supplementary information files for " Context specific effects of substrate composition on the taxonomic and functional diversity of macroinvertebrate communities in temperate lowland streams"

description: Supplementary files for "Context specific effects of substrate composition on the taxonomic and functional diversity of macroinvertebrate communities in temperate lowland streams"Substrate composition has been widely recognised as a primary variable shaping lotic macroinvertebrate communities at the habitat unit level. However, fundamental understanding of how communities inhabiting mineralogical habitats (i.e., gravel, sand and silt) are structured across differing rivers is lacking. Moreover, research largely focusses on gravel beds and fine sediment in general (&lt;2 mm) and as a result detailed field observations specifically of the sand and silt fractions are lacking. Using data from five UK streams collated from published studies, we assess taxonomic and functional biodiversity (alpha and beta diversity) at the habitat unit level (as defined by substrate composition of sand, silt and gravel). We found that the composition of taxonomic communities were clearly different in all habitat units for each individual stream (and at the landscape scale), with comparable, but less strong, distinctions between substrates for functional macroinvertebrate community composition. However, alpha diversity metrics and Local Contribution to Beta Diversity (LCBD) recorded among the different habitat units varied significantly across individual rivers, and the amount of variation explained by the habitat unit for taxonomic and functional composition demonstrated considerable differences suggesting strong context dependence. The depositional fine sediment habitats of sand and silt were found to support a discrete community composition and differing levels of alpha and beta diversity within and between rivers. We advocate that care should be taken when seeking to generalise biodiversity patterns at a landscape scale as our study highlights the high degree of context dependency when considering the role of the habitat template. Moreover, our results provide evidence that discriminating between the size fractions of fine sediment habitats (sand or silt) is important to fully elucidate the wider ecological importance of these habitats and the distinct taxonomic and functional biodiversity they support.© The Author(s) CC BY 4.0
DOI: 10.17028/rd.lboro.28548128.v1
title: "Supplementary information files for " Context specific effects of substrate composition on the taxonomic and functional diversity of macroinvertebrate communities in temperate lowland streams"

description: Supplementary files for "Context specific effects of substrate composition on the taxonomic and functional diversity of macroinvertebrate communities in temperate lowland streams"Substrate composition has been widely recognised as a primary variable shaping lotic macroinvertebrate communities at the habitat unit level. However, fundamental understanding of how communities inhabiting mineralogical habitats (i.e., gravel, sand and silt) are structured across differing rivers is lacking. Moreover, research largely focusses on gravel beds and fine sediment in general (&lt;2 mm) and as a result detailed field observations specifically of the sand and silt fractions are lacking. Using data from five UK streams collated from published studies, we assess taxonomic and functional biodiversity (alpha and beta diversity) at the habitat unit level (as defined by substrate composition of sand, silt and gravel). We found that the composition of taxonomic communities were clearly different in all habitat units for each individual stream (and at the landscape scale), with comparable, but less strong, distinctions between substrates for functional macroinvertebrate community composition. However, alpha diversity metrics and Local Contribution to Beta Diversity (LCBD) recorded among the different habitat units varied significantly across individual rivers, and the amount of variation explained by the habitat unit for taxonomic and functional composition demonstrated considerable differences suggesting strong context dependence. The depositional fine sediment habitats of sand and silt were found to support a discrete community composition and differing levels of alpha and beta diversity within and between rivers. We advocate that care should be taken when seeking to generalise biodiversity patterns at a landscape scale as our study highlights the high degree of context dependency when considering the role of the habitat template. Moreover, our results provide evidence that discriminating between the size fractions of fine sediment habitats (sand or silt) is important to fully elucidate the wider ecological importance of these habitats and the distinct taxonomic and functional biodiversity they support.© The Author(s) CC BY 4.0
DOI: 10.15468/dl.m3ecw3
title: Occurrence Download

description: A dataset containing 80633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus timidus Linnaeus, 1758"
 ]
}

 The dataset includes 80633 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002359-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h59hfv
title: Occurrence Download

description: A dataset containing 20955 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Giraffidae"
 ]
}

 The dataset includes 20955 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002391-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hu5zm
title: Occurrence Download

description: A dataset containing 2689 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodemus peninsulae (Thomas, 1907)"
 ]
}

 The dataset includes 2689 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002392-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7gavz
title: Occurrence Download

description: A dataset containing 2112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Fucales"
 ]
}

 The dataset includes 2112 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002393-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23664/ahri.seya
title: AHRI.Surveillance Episodes Year Age
DOI: 10.15468/dl.u3r6az
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus pyrenaica Willd.)",
 "Country is one of (PORTUGAL)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002394-250310093411724/datasets/export for details.
DOI: 10.15468/dl.kbtjtn
title: Occurrence Download

description: A dataset containing 1095918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1095918 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002364-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8h35s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus faginea Lam.)",
 "Country is one of (PORTUGAL)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002395-250310093411724/datasets/export for details.