cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17630/9b2b2c34-6962-4a9e-b442-8703d46fd477
title: Design, Synthesis and Photophysical properties of an Iridium(III) complex bearing an Indolo[3,2,1-jk]carbazole-decorated NHC ligand (dataset)

description: The open data folder includes three sub-folders: Computations, Compound Characterization and Photophysics. The Calculations folder includes the .log and .com (or .gjf) files for investigated compounds. The Characterization folder includes NMR (FID and MNova files), GCMS (PDF) data of the intermediates and NMR (FID and MNova files), HRMS (PDF) data of the compounds. The Photophysics folder includes the raw data (the CSV file and Origin files of UV-vis absorption spectra in solutions, SSPL, TRPL spectra and PLQY measurements in solutions
DOI: 10.15468/dl.qyqnu2
title: Occurrence Download

description: A dataset containing 9560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cissopis leverianus (J.F.Gmelin, 1788)"
 ]
}

 The dataset includes 9560 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000390-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xp8xae
title: Occurrence Download

description: A dataset containing 1731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistothorus platensis (Latham, 1790)"
 ]
}

 The dataset includes 1731 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000389-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkq2gp
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cranioleuca sulphurifera (Burmeister, 1869)"
 ]
}

 The dataset includes 361 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpxxqc
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argas persicus Oken, 1818"
 ]
}

 The dataset includes 511 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000391-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcrezq
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Colombia",
 "TaxonKey is Polyotidium Garay"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5ctvx
title: Occurrence Download

description: A dataset containing 4802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AntWeb",
 "Geometry POLYGON((49.52133 -14.67936,49.99454 -14.57085,49.91919 -14.13984,49.52736 -14.2815,49.52133 -14.67936))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4802 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000394-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bwa98
title: Occurrence Download

description: A dataset containing 4150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies alba Mill.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4150 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000396-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pen5wr
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichogramma chilonis Ishii, 1941",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 119 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000398-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/data/wtfehf
title: Responsive 3D printed microstructures based on collagen folding and unfolding [data]

description: Mimicking extracellular matrices holds great potential for tissue engineering in biological and biomedical applications. A key compound for mechanical stability of these matrices is collagen, which also plays an important role in many intra- and intercellular processes. Two-photon 3D laser printing offers structuring of these matrices with subcellular resolution. So far, efforts on 3D microprinting of collagen have been limited to simple geometries and customized set-ups. Herein, we present an easily accessible approach using a collagen type I methacrylamide (ColMA) ink system which can be stored at room temperature and be precisely printed using a commercial two-photon 3D laser printer. The formulation and printing parameters are carefully optimized enabling the manufacturing of defined 3D microstructures. Furthermore, these printed microstructures show a fully reversible response upon heating and cooling in multiple cycles, indicating successful collagen folding and unfolding. This experimental observation has been supported by molecular dynamics simulations. Thus, our study opens new perspectives for designing new responsive biomaterials for 4D (micro)printing.
DOI: 10.17028/rd.lboro.28565771
title: Supplementary information files for "Going to the archives: Combining palaeoecological and contemporary data to support river restoration appraisals"

description: Supplementary files for article "Going to the archives: Combining palaeoecological and contemporary data to support river restoration appraisals"River restoration practices are being increasingly implemented to help offset the global degradation of freshwater ecosystems. The ecological success of such projects is typically determined via post-project appraisals comparing restored conditions against specified baselines (e.g., pre-project and/or non-restored data), but such approaches can overlook broader ecosystem recovery patterns. Using freshwater macroinvertebrate communities, this study examined ecological responses to river restoration that are seldom assessed: (i) sub-annual temporal trajectories and (ii) palaeoecological versus contemporary community comparisons. Palaeoecological samples contained assemblages that existed prior to major anthropogenic pressures, which were collected from a sinuous palaeochannel that was restored and reconnected during the study; after which contemporary macroinvertebrate samples were collected. The restored channel initially supported an impoverished community, but taxonomic richness and densities were comparable to non-restored conditions after 13-months. The freshwater shrimp (<i>Gammarus pulex</i>) and non-native New Zealand mud snail (<i>Potamopyrgus antipodarum</i>) proliferated 7-months post-restoration, and follow-up biomonitoring highlighted their dominance prevailed 5-years later. Such evidence indicates how ecosystem dynamics in the aftermath of restoration can shape longer-term recovery. Palaeoecological communities exhibited higher biodiversity and conservation values compared with contemporary samples. This highlights that escalating anthropogenic pressures since the mid-20th Century degraded macroinvertebrate communities, notably constraining marginal-dwelling and lentic specialists. With palaeochannel reconnections being widely applied worldwide, this study demonstrates the value in collecting palaeoecological data before restoration works to provide valuable baseline information. As the global anthropogenic footprint increasingly degrades suitable “reference” river environments, palaeoecological data can better characterize biodiversity losses and potentially provide target conditions informing effective restoration activities.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.28565771.v1
title: Supplementary information files for "Going to the archives: Combining palaeoecological and contemporary data to support river restoration appraisals"

description: Supplementary files for article "Going to the archives: Combining palaeoecological and contemporary data to support river restoration appraisals"River restoration practices are being increasingly implemented to help offset the global degradation of freshwater ecosystems. The ecological success of such projects is typically determined via post-project appraisals comparing restored conditions against specified baselines (e.g., pre-project and/or non-restored data), but such approaches can overlook broader ecosystem recovery patterns. Using freshwater macroinvertebrate communities, this study examined ecological responses to river restoration that are seldom assessed: (i) sub-annual temporal trajectories and (ii) palaeoecological versus contemporary community comparisons. Palaeoecological samples contained assemblages that existed prior to major anthropogenic pressures, which were collected from a sinuous palaeochannel that was restored and reconnected during the study; after which contemporary macroinvertebrate samples were collected. The restored channel initially supported an impoverished community, but taxonomic richness and densities were comparable to non-restored conditions after 13-months. The freshwater shrimp (<i>Gammarus pulex</i>) and non-native New Zealand mud snail (<i>Potamopyrgus antipodarum</i>) proliferated 7-months post-restoration, and follow-up biomonitoring highlighted their dominance prevailed 5-years later. Such evidence indicates how ecosystem dynamics in the aftermath of restoration can shape longer-term recovery. Palaeoecological communities exhibited higher biodiversity and conservation values compared with contemporary samples. This highlights that escalating anthropogenic pressures since the mid-20th Century degraded macroinvertebrate communities, notably constraining marginal-dwelling and lentic specialists. With palaeochannel reconnections being widely applied worldwide, this study demonstrates the value in collecting palaeoecological data before restoration works to provide valuable baseline information. As the global anthropogenic footprint increasingly degrades suitable “reference” river environments, palaeoecological data can better characterize biodiversity losses and potentially provide target conditions informing effective restoration activities.<br><br>© The Author(s), CC BY 4.0
DOI: 10.5281/zenodo.14999646
title: 5glatency_202302

description: Database associated with the research article 'Uplink End-to-End Latency Characterization of a 5G NSA Access Network', presented at the 16th ACM/SPEC International Conference on Performance Engineering (ICPE '25). It contains raw latency values between source (5G-capable device) and destination (test server) endpoints.
DOI: 10.5281/zenodo.14999647
title: 5glatency_202302

description: Database associated with the research article 'Uplink End-to-End Latency Characterization of a 5G NSA Access Network', presented at the 16th ACM/SPEC International Conference on Performance Engineering (ICPE '25). It contains raw latency values between source (5G-capable device) and destination (test server) endpoints.
DOI: 10.15468/dl.4txm3x
title: Occurrence Download

description: A dataset containing 86332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ficus carica L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 86332 records from 871 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000363-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11388896
title: Layline Shareholder activism dataset
DOI: 10.15156/bio/sh1070158.10fu
title: SH1070158.10FU

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/sh1070160.10fu
title: SH1070160.10FU

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/sh1070162.10fu
title: SH1070162.10FU

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/sh1070163.10fu
title: SH1070163.10FU

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/sh1070167.10fu
title: SH1070167.10FU

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/sh1070169.10fu
title: SH1070169.10FU

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/sh1070171.10fu
title: SH1070171.10FU

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/sh1070173.10fu
title: SH1070173.10FU

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/sh1070174.10fu
title: SH1070174.10FU

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.