cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-13672
title: Holliday working papers, volume III: Excessive force, improper tactics, sexual, discrimination and discourtesy complaints, 1991-04-25

description: Thomas E. Holliday working papers, volume III: Excessive force, improper tactics, sexual, discrimination and discourtesy complaints, 1991 April 25. Includes summary of Discourtesy allegations sustained. PART OF A SERIES: The staff of Gibson, Dunn & Crutcher coordinated witness interviews and conducted an extensive review of complaints filed against LAPD officers. Included in the series are summaries of witness interviews, statistics and investigative reports related to citizen complaints, an analysis on adjudicated cases involving use-of-force complaints, reports regarding LAPD's recruitment of African American officers and community oriented policing, and an excerpt from Malcolm Sparrow's Beyond 9-1-1. Also included are materials related to the firm's work product, including attorney notes, work plans, memoranda, and drafts of chapters for the Commission report.
DOI: 10.15468/dl.mt6c3k
title: Occurrence Download

description: A dataset containing 1127692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnaceae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1127692 records from 2515 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0180595-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbhdch
title: Occurrence Download

description: A dataset containing 928698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "TaxonKey is Amphibia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 928698 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033983-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jspwfa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gagea kneissea J.Thiébaut"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004382-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ldt6zp
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-77.89856 -3.24646,-75.18494 -1.6864,-74.85535 -0.28015,-75.91003 0.49988,-77.32727 0.59875,-77.99744 -0.13733,-78.4259 -0.78552,-78.42865 -1.37054,-78.54401 -1.60675,-78.64838 -1.71661,-78.66486 -1.78802,-78.68958 -3.02673,-79.09607 -3.29041,-79.31442 -4.09378,-79.19495 -4.24622,-79.7113 -4.70764,-79.11804 -5.16907,-78.60168 -4.72961,-77.89856 -3.24646))",
 "HasCoordinate is true",
 "TaxonKey is Elaphoglossum yatesii (Sodiro) Christ",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033985-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp97tr
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Peperomia liebmannii C.DC., Peperomia lehmannii C.DC.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 149 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004365-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mregx2
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gardenia boninensis (Nakai) Tuyama ex T.Yamaz."
 ]
}

 The dataset includes 83 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004377-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnkutz
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Charybdis japonica (A.Milne-Edwards, 1861))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 741 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045862-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.i0gv3p
title: Occurrence Download

description: A dataset containing 38057 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1999-2019",
 "HasCoordinate is true",
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38057 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033986-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az2cqv
title: Occurrence Download

description: A dataset containing 4829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Giraffa camelopardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 4829 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201225-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5avfna
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Flabellaria paniculata Cav."
 ]
}

 The dataset includes 935 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004417-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfljcm
title: Occurrence Download

description: A dataset containing 458 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bee species and numbers caught by coloured pan traps across 20 landscapes in 2012, The Netherlands"
 ]
}

 The dataset includes 458 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033991-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wj7zb
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phrynosoma blainvillii Gray, 1839"
 ]
}

 The dataset includes 108 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0136953-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6w3vrw
title: Occurrence Download

description: A dataset containing 4197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, France, Andorra)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ovis gmelinii musimon (Pallas, 1811)"
 ]
}

 The dataset includes 4197 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004445-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afsuhv
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Amphibia",
 "TaxonKey is Aves",
 "TaxonKey is Reptilia",
 "TaxonKey is Mammalia"
 ]
 },
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "HasCoordinate is true",
 "DecimalLongitude is greater than or equal to -90.000000",
 "DecimalLongitude is less than -60.000000",
 "DecimalLatitude is greater than or equal to -60.000000",
 "DecimalLatitude is less than -30.000000",
 "Year is greater than or equal to 2000",
 "Year is greater than or equal to 2018"
 ]
}

 The dataset includes 616 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033992-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccsttc
title: Occurrence Download

description: A dataset containing 52060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyprinella lutrensis (Baird & Girard, 1853))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52060 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045806-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1097266.10fu
title: SH1097266.10FU

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/sh1097267.10fu
title: SH1097267.10FU

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/sh1097272.10fu
title: SH1097272.10FU

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/sh1097275.10fu
title: SH1097275.10FU

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/sh1097278.10fu
title: SH1097278.10FU

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/sh1097280.10fu
title: SH1097280.10FU

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/sh1097284.10fu
title: SH1097284.10FU

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/sh1097285.10fu
title: SH1097285.10FU

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: 10.18150/2e6jbn
title: Speculative Illustration - The MATTER OF WORDS – (im)Materiality of Literature in Multimodal and Experimental Texts

description: Selected data collected as part of The Matter of Words – (im)Materiality of Literature in Multimodal and Experimental Texts project funded by National Science Centre (NCN), Poland (OPUS Grant No. 2021/43/B/HS2/01794). The collection includes materials related the notion and practices of illustration used for writing a paper on Speculative Illustration. The research focused on the question of representation and the problems associated with strategies of visualizing data and representing the ongoing climate crisis.
DOI: 10.5281/zenodo.12731976
title: EliseGallois/Above_v_Below_Phenology: rootpheno_2025

description: The below-ground growing season often extends beyond the above-ground growing season in tundra ecosystems and as the climate warms, shifts in growing seasons are expected. However, we do not yet know to what extent, when and where asynchrony in above- and below-ground phenology occurs and whether variation is driven by local vegetation communities or spatial variation in microclimate. Here, we combined above- and below-ground plant phenology metrics to compare the relative timings and magnitudes of leaf and fine-root growth and senescence across microclimates and plant communities at five sites across the Arctic and alpine tundra biome. We observed asynchronous growth between above- and below-ground plant tissue, with the below-ground season extending up to 74% (~56 days) beyond the onset of above-ground leaf senescence. Plant community type, rather than microclimate, was a key factor controlling the timing, productivity, and growth rates of fine roots, with graminoid roots exhibiting a distinct ‘pulse’ of growth later into the growing season than shrub roots. Our findings indicate the potential of vegetation change to influence below-ground carbon storage as the climate warms and roots remain active in unfrozen soils for longer. Taken together, our findings of increased root growth in soils that remain thawed later into the growing season, in combination with ongoing tundra vegetation change including increased shrub and graminoid abundance, indicate increased below-ground productivity and altered carbon cycling in the tundra biome.
DOI: 10.5281/zenodo.15024475
title: EliseGallois/Above_v_Below_Phenology: rootpheno_2025

description: The below-ground growing season often extends beyond the above-ground growing season in tundra ecosystems and as the climate warms, shifts in growing seasons are expected. However, we do not yet know to what extent, when and where asynchrony in above- and below-ground phenology occurs and whether variation is driven by local vegetation communities or spatial variation in microclimate. Here, we combined above- and below-ground plant phenology metrics to compare the relative timings and magnitudes of leaf and fine-root growth and senescence across microclimates and plant communities at five sites across the Arctic and alpine tundra biome. We observed asynchronous growth between above- and below-ground plant tissue, with the below-ground season extending up to 74% (~56 days) beyond the onset of above-ground leaf senescence. Plant community type, rather than microclimate, was a key factor controlling the timing, productivity, and growth rates of fine roots, with graminoid roots exhibiting a distinct ‘pulse’ of growth later into the growing season than shrub roots. Our findings indicate the potential of vegetation change to influence below-ground carbon storage as the climate warms and roots remain active in unfrozen soils for longer. Taken together, our findings of increased root growth in soils that remain thawed later into the growing season, in combination with ongoing tundra vegetation change including increased shrub and graminoid abundance, indicate increased below-ground productivity and altered carbon cycling in the tundra biome.
DOI: 10.15468/dl.2cr8sp
title: Occurrence Download

description: A dataset listing the 5991 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.90745 53.08424,6.76334 53.33303,6.39319 53.34971,6.09889 53.2147,5.97601 52.9826,6.07007 52.71409,6.21267 52.50778,6.42505 52.46985,6.64653 52.55784,6.75879 52.6974,6.90745 53.08424))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 5991 records were derived from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008762-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.