cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r3d3dm
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros punctilimba C.Y.Wu"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025312-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t72gy3
title: Occurrence Download

description: A dataset containing 43151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Coordinate out of range, Geodetic datum assumed WGS84, Continent derived from coordinates, Continent derived from country, Continent country mismatch, Continent coordinate mismatch, Country derived from coordinates, Country mismatch, Country coordinate mismatch)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aimophila aestivalis (M.H.K.Lichtenstein, 1823), Peucaea aestivalis (M.H.K.Lichtenstein, 1823))",
 "Year 1946-2023"
 ]
}

 The dataset includes 43151 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047339-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r42gqh
title: Occurrence Download

description: A dataset containing 33521 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Adenocaulon Hook.",
 "TaxonKey is Brachyclados Gillies ex D.Don",
 "TaxonKey is Chaptalia Vent.",
 "TaxonKey is Eriachaenium Sch.Bip.",
 "TaxonKey is Gerbera L.",
 "TaxonKey is Leibnitzia Cass.",
 "TaxonKey is Lulia Zardini",
 "TaxonKey is Mutisia L.f.",
 "TaxonKey is Pachylaena D.Don ex Hook. & Arn.",
 "TaxonKey is Peridium Schott",
 "TaxonKey is Trichocline Cass.",
 "TaxonKey is Uechtritzia Freyn",
 "TaxonKey is Aphyllocladus Wedd.",
 "TaxonKey is Gypothamnium Phil.",
 "TaxonKey is Lycoseris Cass.",
 "TaxonKey is Onoseris Willd.",
 "TaxonKey is Plazia Ruiz & Pav.",
 "TaxonKey is Paquirea Panero & S.E.Freire",
 "TaxonKey is Urmenetea Phil.",
 "TaxonKey is Acourtia D.Don",
 "TaxonKey is Ameghinoa Speg.",
 "TaxonKey is Berylsimpsonia B.L.Turner",
 "TaxonKey is Burkartia Crisci",
 "TaxonKey is Calopappus",
 "TaxonKey is Calorezia Panero",
 "TaxonKey is Cephalopappus Nees & Mart.",
 "TaxonKey is Criscia Katinas",
 "TaxonKey is Dolichlasium Lag.",
 "TaxonKey is Holocheilus Cass.",
 "TaxonKey is Jungia L.f.",
 "TaxonKey is Leucheria Lag.",
 "TaxonKey is Leunisia Phil.",
 "TaxonKey is Lophopappus Rusby",
 "TaxonKey is Macrachaenium Hook.f.",
 "TaxonKey is Marticorenia Crisci",
 "TaxonKey is Moscharia Ruiz & Pav.",
 "TaxonKey is Nassauvia Comm. ex Juss.",
 "TaxonKey is Oxyphyllum Phil.",
 "TaxonKey is Panphalea Lagasca, 1811",
 "TaxonKey is Perezia Lag.",
 "TaxonKey is Pleocarphus D.Don",
 "TaxonKey is Polyachyrus Lag.",
 "TaxonKey is Proustia Lag.",
 "TaxonKey is Triptilion Ruiz & Pav.",
 "TaxonKey is Trixis P.Browne, 1756"
 ]
 },
 "HasCoordinate is TRUE",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 }
 ]
}

 The dataset includes 33521 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010463-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgwnm9
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((96.74182 9.4369,105.92669 9.4369,105.92669 20.47728,96.74182 20.47728,96.74182 9.4369))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pongamia pinnata (L.) Pierre"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047466-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqp6xf
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros rabiensis Breteler"
 ]
}

 The dataset includes 128 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025416-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exlkpt
title: Occurrence Download

description: A dataset containing 1360 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Appendix table DR1) Foraminiferal distribution data for ODP Hole 178-1098B"
 ]
}

 The dataset includes 1360 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010464-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jup6sb
title: Occurrence Download

description: A dataset containing 171964 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Casuarinaceae)"
 ]
}

 The dataset includes 171964 records from 721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025230-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9f2hdg
title: Occurrence Download

description: A dataset containing 4436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana algida Pall."
 ]
}

 The dataset includes 4436 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008045-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/97pgnb38w4.1
title: Supplementary Materials for Paradoxical Eczema Associated with Biologic Therapy in Psoriasis: A Systematic Review and Meta-Analysis

description: Supplementary Materials for Paradoxical Eczema Associated with Biologic Therapy in Psoriasis: A Systematic Review and Meta-Analysis
DOI: 10.17632/3fz9z4j53x.1
title: Pre-biodrying treatment enhances lignin ether bond cleavage for rapid humification during composting

description: Plot data of the article "Pre-biodrying treatment enhances lignin ether bond cleavage for rapid humification during composting".
DOI: 10.17632/3fz9z4j53x.2
title: Pre-biodrying with rapid heating enhances lignin demethoxylation and β-O-4 cleavage to accelerate humification during composting

description: Plot data of the article "Pre-biodrying with rapid heating enhances lignin demethoxylation and β-O-4 cleavage to accelerate humification during composting".
DOI: 10.17632/3fz9z4j53x.3
title: Pre-biodrying enhances lignin demethoxylation and β-O-4 cleavage to accelerate humification during composting

description: Plot data of the article "Pre-biodrying enhances lignin demethoxylation and β-O-4 cleavage to accelerate humification during composting".
DOI: 10.17632/3fz9z4j53x.4
title: Pre-biodrying enhanced lignin degradation to promote aromatic macromolecular humic acid formation in double-phase composting

description: Plot data of the article "Pre-biodrying enhanced lignin degradation to promote aromatic macromolecular humic acid formation in double-phase composting".
DOI: 10.6084/m9.figshare.28740942
title: Techniques, challenges, and opportunities in mobile thematic map design for data journalism

description: Maps are increasingly read on mobile devices. Mobile maps necessitate specific design considerations to improve readability and user experience. Little research has focused on how to design mobile thematic maps, in contrast to reference maps. Data journalism represents a common way that the public encounters mobile thematic maps. This paper characterizes the design techniques and challenges associated with mobile thematic cartography in the context of data journalism. Through interviews with 18 expert news cartographers, I show that teams of data journalists are increasingly aware of mobile users, but face numerous constraints when designing for these users. They face time constraints, the need to design for both desktop and mobile, and must reach vast general audiences, meaning they often practice simultaneous design over mobile-first design. News cartographers have also reduced their use of interactivity, which reduces complexity related to designing for both desktop and mobile. This work shows that news cartographers solve mobile thematic map design challenges through iterative design processes that draw from years of expertise, not a strict set of guidelines. News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readersMany news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the otherNews cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possibleNews maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readers Many news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the other News cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possible News maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing
DOI: 10.6084/m9.figshare.28740942.v1
title: Techniques, challenges, and opportunities in mobile thematic map design for data journalism

description: Maps are increasingly read on mobile devices. Mobile maps necessitate specific design considerations to improve readability and user experience. Little research has focused on how to design mobile thematic maps, in contrast to reference maps. Data journalism represents a common way that the public encounters mobile thematic maps. This paper characterizes the design techniques and challenges associated with mobile thematic cartography in the context of data journalism. Through interviews with 18 expert news cartographers, I show that teams of data journalists are increasingly aware of mobile users, but face numerous constraints when designing for these users. They face time constraints, the need to design for both desktop and mobile, and must reach vast general audiences, meaning they often practice simultaneous design over mobile-first design. News cartographers have also reduced their use of interactivity, which reduces complexity related to designing for both desktop and mobile. This work shows that news cartographers solve mobile thematic map design challenges through iterative design processes that draw from years of expertise, not a strict set of guidelines. News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readersMany news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the otherNews cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possibleNews maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readers Many news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the other News cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possible News maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing
DOI: 10.6084/m9.figshare.28188326
title: <b>Two haplotype-resolved telomere-to-telomere genome assemblies of </b><b><i>Xanthoceras sorbifolium</i></b>

description: Yellowhorn (<i>Xanthoceras sorbifolium</i>) is widely used for landscaping, desertification control, and oil production in northern China. However, the lack of high-quality genomes has hindered breeding and evolutionary studies. Here, we present the first haplotype-resolved, telomere-to-telomere (T2T) yellowhorn genomes of PBN-43 (white single-flowered) and PBN-126 (white double-flowered) using PacBio HiFi and Hi-C data. These assemblies range from 464.34 Mb to 468.97 Mb and include all centromeres and telomeres. Genome annotation revealed that an average of 67.99% (317.09 Mb) of yellowhorn genomic regions consist of repetitive elements across all haplotypes, and the protein-coding genes number range from 35,039 to 35,174 among assemblies, representing an average 50.16% increase compared to the first published yellowhorn genome. Additionally, 93.90% of the annotated genes have functional annotations.
DOI: 10.17632/hw9hr94t25
title: Eclipta prostrata Extracts

description: These are the raw data and corresponding graphs prepared for manuscript submission.
DOI: 10.17632/hw9hr94t25.1
title: Eclipta prostrata Extracts

description: These are the raw data and corresponding graphs prepared for manuscript submission.
DOI: 10.13140/rg.2.2.25717.91365
title: Certificate of Participation in the International Webinar ‘The Challenge of Climate Change and COP 26’, organised by Raffles University Neemrana in collaboration with Swadhyaya Sahachkara (Circle for Creative Co-Learning), and Vishwaneedam Center for Asian Blossoming, Puducherry and Chennai on October 31, 2021
DOI: 10.13140/rg.2.2.22591.84645
title: Cavity quantum optics in MATLAB
DOI: 10.13140/rg.2.2.29460.01923
title: Multi-Class Segmentation of Side-Scan Sonar Data using a Neural Network (Python)
DOI: 10.15468/dl.6bq5br
title: Occurrence Download

description: A dataset containing 14325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-52.5 -15,-45 -15,-45 -7.5,-52.5 -7.5,-52.5 -15))"
 ]
}

 The dataset includes 14325 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041639-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.21150.05444
title: HISPANIA. REVISTA DE LOS PROFESORES DE ESPANOL DE COSTA DE MARFIL
DOI: 10.15156/bio/sh0181630.10fu
title: SH0181630.10FU

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/sh0181631.10fu
title: SH0181631.10FU

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/sh0181632.10fu
title: SH0181632.10FU

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/sh0181633.10fu
title: SH0181633.10FU

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/sh0181634.10fu
title: SH0181634.10FU

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/sh0181635.10fu
title: SH0181635.10FU

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/sh0181636.10fu
title: SH0181636.10FU

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.