cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1212323.10fu
title: SH1212323.10FU

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/sh1212324.10fu
title: SH1212324.10FU

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/sh1212327.10fu
title: SH1212327.10FU

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/sh1212329.10fu
title: SH1212329.10FU

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/sh1212330.10fu
title: SH1212330.10FU

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/sh1212331.10fu
title: SH1212331.10FU

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/sh1212332.10fu
title: SH1212332.10FU

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/sh1212333.10fu
title: SH1212333.10FU

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/sh1212335.10fu
title: SH1212335.10FU

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.yehbmu
title: Occurrence Download

description: A dataset containing 5330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maruca vitrata",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 5330 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010694-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18476338
title: 3I Atlas - Follow the Tail

description: This groundbreaking speculative paper explores the intriguing electromagnetic alignment between the nickel-enriched ion tail of interstellar comet 3I/ATLAS (C/2025 N1) and the severe S4 solar radiation storm of January 2026. Proposing that the comet's magnetized plasma tail served as a "yellow brick road" for guiding high-energy solar particles toward Earth, it highlights a rare sky-plane alignment (within 2°–4°) with a low random probability (p ≲ 10^{-5}), supported by data from JPL Horizons, TESS, Hubble, and GOES. Challenging mainstream solar physics, this work suggests exotic interstellar objects could channel charged particles, calling for advanced MHD modeling and SEP anisotropy analysis to uncover potential cosmic connections in space weather events.

Author's Note: Greetings, dear readers. The quest to resolve this interstellar object (because it is NOT a comet, but a traveler that has come passed through our neighborhood). My theory of the mechanism involved here is speculative, but it follows the physics bread crumbs it leaves behind. Am I right? Am I wrong? Time may tell, but to me the magnetic coupling is real and goes beyond what we would expect from the norm. But do not fall into that trap—this is a mechanism that is purely an extension of physics, maybe at a level we have not imagined until now. So thank you for reading, for exploring this thought experiment in speculation. I wish you well and hope this meets your thoughts in elegance. As always, God bless your journey — RJW
DOI: 10.5281/zenodo.18476337
title: 3I Atlas - Follow the Tail

description: This groundbreaking speculative paper explores the intriguing electromagnetic alignment between the nickel-enriched ion tail of interstellar comet 3I/ATLAS (C/2025 N1) and the severe S4 solar radiation storm of January 2026. Proposing that the comet's magnetized plasma tail served as a "yellow brick road" for guiding high-energy solar particles toward Earth, it highlights a rare sky-plane alignment (within 2°–4°) with a low random probability (p ≲ 10^{-5}), supported by data from JPL Horizons, TESS, Hubble, and GOES. Challenging mainstream solar physics, this work suggests exotic interstellar objects could channel charged particles, calling for advanced MHD modeling and SEP anisotropy analysis to uncover potential cosmic connections in space weather events.

Author's Note: Greetings, dear readers. The quest to resolve this interstellar object (because it is NOT a comet, but a traveler that has come passed through our neighborhood). My theory of the mechanism involved here is speculative, but it follows the physics bread crumbs it leaves behind. Am I right? Am I wrong? Time may tell, but to me the magnetic coupling is real and goes beyond what we would expect from the norm. But do not fall into that trap—this is a mechanism that is purely an extension of physics, maybe at a level we have not imagined until now. So thank you for reading, for exploring this thought experiment in speculation. I wish you well and hope this meets your thoughts in elegance. As always, God bless your journey — RJW
DOI: 10.15468/dl.4qawby
title: Occurrence Download

description: A dataset containing 31279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cydia pomonella",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 31279 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010696-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8zf7a
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Sceliphron"
 ]
}

 The dataset includes 137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010697-260129131611470/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.31245694
title: Widespread decline in critical soil moisture threshold of plant water stress across global drylands

description: Python version 3.11, R version 4.4.1, and Matlab2024a were used.1. drydown_identification.m was executed to identify soil dry-down events and to save the corresponding datasets. Then, SM_threshold_estimation.R was run to estimate soil moisture thresholds.2. Figure1.py was used to perform trend analysis of soil moisture thresholds and to generate Figure 1. 3. Figure2.R was executed to analyze trends in the critical soil moisture threshold across plant functional types, climate zones, and aridity classes, and to generate Figure 2. 4. Figure3.R was used to conduct machine-learning–based and multivariate linear regression attribution analyses, and to generate Figure 3. 5. Figure4.py was used to analyze long-term vegetation water-stress exposure and changes in the fraction of water-limited days, and to generate Figure 4. 6. Figure5.py was executed to evaluate the ability of Earth System Models to capture observed θ<sub>crit</sub> trends and their aridity dependence, and to generate Figure 5.
DOI: 10.6084/m9.figshare.31245694.v1
title: Widespread decline in critical soil moisture threshold of plant water stress across global drylands

description: Python version 3.11, R version 4.4.1, and Matlab2024a were used.1. drydown_identification.m was executed to identify soil dry-down events and to save the corresponding datasets. Then, SM_threshold_estimation.R was run to estimate soil moisture thresholds.2. Figure1.py was used to perform trend analysis of soil moisture thresholds and to generate Figure 1. 3. Figure2.R was executed to analyze trends in the critical soil moisture threshold across plant functional types, climate zones, and aridity classes, and to generate Figure 2. 4. Figure3.R was used to conduct machine-learning–based and multivariate linear regression attribution analyses, and to generate Figure 3. 5. Figure4.py was used to analyze long-term vegetation water-stress exposure and changes in the fraction of water-limited days, and to generate Figure 4. 6. Figure5.py was executed to evaluate the ability of Earth System Models to capture observed θ<sub>crit</sub> trends and their aridity dependence, and to generate Figure 5.
DOI: 10.15468/dl.pagpz3
title: Occurrence Download

description: A dataset containing 1189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tuta absoluta"
 ]
}

 The dataset includes 1189 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010701-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsgcug
title: Occurrence Download

description: A dataset containing 240776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ctenolabrus rupestris, Ctenolucius beani, Ctenolucius hujeta, Ctenopharyngodon idella, Ctenopoma acutirostre, Ctenopoma kingsleyae, Ctenopoma multispine, Ctenopoma muriei, Ctenopoma nebulosum, Ctenopoma nigropannosum, Ctenopoma ocellatum, Ctenopoma pellegrini, Ctenopoma petherici, Ctenops nobilis, Ctenotrypauchen chinensis, Cubiceps, Cubiceps baxteri, Cubiceps paradoxus, Cubiceps pauciradiatus, Cubiceps squamiceps, Cubiceps whiteleggii, Culaea inconstans, Culter alburnus, Culter compressocorpus, Culter oxycephaloides, Curculionichthys karipuna, Curculionichthys, Curimata, Curimata cyprinoides, Curimata mivartii, Curimatella lepidura, Curimatopsis, Curimatopsis crypticus, Curimatopsis evelynae, Cyathochromis obliquidens, Cycleptus elongatus, Cyclichthys orbicularis, Cyclichthys spilostylus, Cyclocheilichthys apogon, Cyclocheilichthys armatus, Cyclocheilichthys heteronema, Cyclocheilichthys janthochir, Cyclocheilichthys repasson, Cyclocheilos enoplos, Cyclopsetta chittendeni, Cyclopsetta fimbriata, Cyclopsetta querna, Cyclopteropsis lindbergi, Cyclopterus lumpus, Cyclothone acclinidens, Cyclothone alba, Cyclothone atraria, Cyclothone braueri, Cyclothone kobayashii, Cyclothone livida, Cyclothone microdon, Cyclothone obscura, Cyclothone pallida, Cyclothone parapallida, Cyclothone pseudopallida, Cyclothone pygmaea, Cyclothone signata, Cyema atrum, Cygnodraco mawsoni, Cymatogaster aggregata, Cymbacephalus beauforti, Cymolutes praetextatus, Cymolutes torquatus, Cynodon meionactis, Cynodonichthys birkhahni, Cynodonichthys brunneus, Cynodonichthys chucunaque, Cynodonichthys degreefi, Cynodonichthys frommi, Cynodonichthys fuscolineatus, Cynodonichthys godmani, Cynodonichthys hildebrandi, Cynodonichthys isthmensis, Cynodonichthys magdalenae, Cynodonichthys tenuis, Cynodonichthys uroflammeus, Cynodonichthys weberi, Cynoglossus abbreviatus, Cynoglossus arel, Cynoglossus bilineatus, Cynoglossus cynoglossus, Cynoglossus feldmanni, Cynoglossus gracilis, Cynoglossus interruptus, Cynoglossus itinus)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 240776 records from 856 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010674-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfpakk
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010700-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vbhzr
title: Occurrence Download

description: A dataset containing 1378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98.16283 -11.00486,103.16283 -11.00486,103.16283 -6.00486,98.16283 -6.00486,98.16283 -11.00486))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1378 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010705-260129131611470/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.31245691
title: Supplementary data and codes for the article: Biological traits predict species' time-varying responses to multiple global change drivers

description: Supplementary data and R code for the article: Biological traits predict species' time-varying responses to multiple global change drivers#.<br>The demo code and four CSV files are included, which are required for the essential steps in the analyses and for reproducing the results.
DOI: 10.6084/m9.figshare.31245691.v1
title: Supplementary data and codes for the article: Biological traits predict species' time-varying responses to multiple global change drivers

description: Supplementary data and R code for the article: Biological traits predict species' time-varying responses to multiple global change drivers#.<br>The demo code and four CSV files are included, which are required for the essential steps in the analyses and for reproducing the results.
DOI: 10.15468/dl.cmefxa
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Sceliphron deforme"
 ]
}

 The dataset includes 64 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010707-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18470734
title: FOSSA
DOI: 10.5281/zenodo.18470733
title: FOSSA
DOI: 10.15468/dl.74yej9
title: Occurrence Download

description: A dataset containing 103530566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84 -59,-59 -59,-59 9.14,-84 9.14,-84 -59))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1900-2026"
 ]
}

 The dataset includes 103530566 records from 7315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010682-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/vqd-v3f-63p
title: Porcellio scaber scaber Latreille, 1804

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/829-d8s-7fc
title: Cymothoa eremita (Brünnich, 1783)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mtx-2ec-mnl
title: Pseudoamallothrix ovata (Farran, 1905)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/va9-2g2-d4f
title: Calanus helgolandicus (Claus, 1863)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.