cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yj3qav
title: Occurrence Download

description: A dataset containing 622 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neobartsia santolinifolia (Kunth) Uribe-Convers & Tank"
 ]
}

 The dataset includes 622 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056871-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8273459
title: Collection of The tropical cyclones best-track data (CMABSTdata) and the daily surface climatological stations dataset for China (V3.0) from CMA

description: This dataset contains the tropical cyclones best-track data from the China Meteorological Administration (CMABSTdata)[1] and the daily surface climatological stations dataset for China (V3.0)[2] from 1979-2019 from China Meteorological Administration.

[1] Ying, M., Zhang, W., Yu, H., Lu, X., Feng, J., Fan, Y., . . . Chen, D. (2014). An overview of the China Meteorological Administration tropical cyclone database. Journal of Atmospheric and Oceanic Technology, 31(2), 287-301. 

[2](CMA, http://data.cma.cn)
DOI: 10.5281/zenodo.8273460
title: Collection of The tropical cyclones best-track data (CMABSTdata) and the daily surface climatological stations dataset for China (V3.0) from CMA

description: This dataset contains the tropical cyclones best-track data from the China Meteorological Administration (CMABSTdata)[1] and the daily surface climatological stations dataset for China (V3.0)[2] from 1979-2019 from China Meteorological Administration.

[1] Ying, M., Zhang, W., Yu, H., Lu, X., Feng, J., Fan, Y., . . . Chen, D. (2014). An overview of the China Meteorological Administration tropical cyclone database. Journal of Atmospheric and Oceanic Technology, 31(2), 287-301. 

[2](CMA, http://data.cma.cn)
DOI: 10.5281/zenodo.10244750
title: Data and code for Synoptic mechanisms of large-scale extreme precipitation events over southeastern China (Version 1.1.0)

description: All data generated for the article Synoptic mechanisms of large-scale extreme precipitation events over South China and the code used to reproduce the article analysis and figures.
DOI: 10.5281/zenodo.8273717
title: Data and code for Synoptic mechanisms of large-scale extreme precipitation events over southeastern China (Version 1.1.0)

description: All data generated for the article Synoptic mechanisms of large-scale extreme precipitation events over South China and the code used to reproduce the article analysis and figures.
DOI: 10.15468/dl.2rk7jv
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium argillosum Petrov ex Char."
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138088-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/e9mdrc
title: Coral Reef Evaluation and Monitoring Project Dry Tortugas 2015

description: The purpose of the Coral Reef Evaluation and Monitoring Project (CREMP) is to monitor the status and trends of selected reefs in the Florida Keys National Marine Sanctuary(FKNMS). CREMP assessments have been conducted annually at fixed sites since 1996 and data collected provides information on the temporal changes in benthic cover and diversity of stony corals and associated marine flora and fauna. The core field methods continue to be underwater videography and timed coral species inventories. Findings presented in this report include data from 109 stations at 37 sites sampled from 1996 through 2008 in the Florida Keys and 1999 through 2008 in the Dry Tortugas. The report describes the annual differences (between 2007 and 2008) in the percent cover of major benthic taxa (stony corals, octocorals, sponges, and macroalgae), mean coral species richness and the incidence of stony coral conditions. Additionally, it examines the long-term trends of the major benthic taxa, five coral complex, Montastraea cavernosa, Colpophyllia natans, Siderastrea siderea, and Porites astreoides) and the clionaid sponge, Cliona delitrix. It is one of the longest running coral reef monitoring projects in south Florida and has been extremely important in documenting the temporal changes that have occurred in recent years.
DOI: 10.15468/dl.wju4m6
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chamaesium novem-jugum (C.B.Clarke) C.Norman"
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138082-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/cfsk8y
title: Policládidos de la Península de Yucatán

description: The dataset contains information about the collection “Policládidos de la Península de Yucatán” at the Unidad Multidisciplinaria de Docencia e Investigación, Faculty of Science, UNAM. This dataset represents only specimens of Order Polycladida identified to genus and species (122 specimens) from 12 localities of coastal lagoons and coral reefs at the Gulf of Mexico and Mexican Caribbean for a period of time from 2017 to 2019. The dataset contains information of specimens belonging to 12 families, 17 genus and 19 species. The specimens at the collection have been either identified or validated by professional taxonomists, providing a significant level of trust in the data. The taxonomists that participated in this process appear in the list of authors.
DOI: 10.15468/dl.z5usex
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium arachnoideum (M.Bieb.) M.Bieb."
 ]
}

 The dataset includes 57 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138087-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htkfkh
title: Occurrence Download

description: A dataset listing the 10373 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10373 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008617-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vimbhw
title: Occurrence Download

description: A dataset containing 4667 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Louisiana State University, Shirley C. Tucker Herbarium - Bryophytes"
 ]
}

 The dataset includes 4667 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004460-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10884299
title: Two-pool mechanistic CDOM model for the global ocean

description: This includes all model inputs, outputs, and scripts to run the model for the paper "Quantifying biogeochemical controls of open ocean CDOM from a global mechanistic model." Currently under review at JGR Oceans.
DOI: 10.5281/zenodo.10884298
title: Two-pool mechanistic CDOM model for the global ocean

description: This includes all model inputs, outputs, and scripts to run the model for the paper "Quantifying biogeochemical controls of open ocean CDOM from a global mechanistic model." Currently under review at JGR Oceans.
DOI: 10.5281/zenodo.10989359
title: BIR-MicroED: selected area electron diffraction datasets from static microcrystals (Zn(II)-methionine) at 200 keV

description: This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: "CompoundName_AcceleratingVoltage_Temperature.zip"

Diffraction datasets within each folder are named according to the format: CompoundName_static_diffraction_AcceleratingVoltage_Temperature_series#.mrc
DOI: 10.15468/dl.m9txvy
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium apoense Nakai"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138084-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sof4a6
title: Occurrence Download

description: A dataset containing 38506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larix decidua Mill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38506 records from 293 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006106-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10989360
title: BIR-MicroED: selected area electron diffraction datasets from static microcrystals (Zn(II)-methionine) at 200 keV

description: This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format. Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature). Zip files are named according to the format: "CompoundName_AcceleratingVoltage_Temperature.zip"

Diffraction datasets within each folder are named according to the format: CompoundName_static_diffraction_AcceleratingVoltage_Temperature_series#.mrc
DOI: 10.5281/zenodo.8403667
title: Seurat objects - conjunctiva single-cell atlas

description: We provide here the Seurat objects for:


1) the whole conjunctiva atlas


2) Goblet cells subclusters


3) tuft cells subclusters


4) basal cells subclusters.


All objects can be obtained with the code provided on Github.
DOI: 10.15468/dl.p5xq6d
title: Occurrence Download

description: A dataset containing 47932 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Aloina rigida (Hedw.) Limpr.",
 "TaxonKey is Anoectangium aestivum (Hedw.) Mitt.",
 "TaxonKey is Anoectangium clarum Mitt.",
 "TaxonKey is Anoectangium kweichowense E.B.Bartram",
 "TaxonKey is Aschisma carniolicum (F.Weber & D.Mohr) Lindb.",
 "TaxonKey is Barbula amplexifolia (Mitt.) A.Jaeger",
 "TaxonKey is Barbula anceps Cardot",
 "TaxonKey is Barbula convoluta Hedw.",
 "TaxonKey is Barbula ehrenbergii (Lorentz) M.Fleisch.",
 "TaxonKey is Barbula pseudoehrenbergii M.Fleisch."
 ]
}

 The dataset includes 47932 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028333-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8403666
title: Seurat objects - conjunctiva single-cell atlas

description: We provide here the Seurat objects for:


1) the whole conjunctiva atlas


2) Goblet cells subclusters


3) tuft cells subclusters


4) basal cells subclusters.


All objects can be obtained with the code provided on Github.
DOI: 10.15468/dl.kjsnbh
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium babanum Koidz."
 ]
}

 The dataset includes 68 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138101-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdi716
title: Occurrence Download

description: A dataset containing 4988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "TaxonKey is Caricaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4988 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004460-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mee3rn
title: Occurrence Download

description: A dataset containing 11951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Satyrium Sw."
 ]
}

 The dataset includes 11951 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007723-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt5hpe
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Syrian Arab Republic, Tunisia, Türkiye, Armenia, Azerbaijan, Georgia, Russian Federation, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Bahrain, Iran (Islamic Republic of), Iraq, Jordan, Kuwait, Oman, Palestine, State of, Israel, Saudi Arabia, Qatar, United Arab Emirates, Libya, Malta, Monaco, Montenegro, Morocco, Italy, Spain, Lebanon, Slovenia, France, Cyprus, Algeria, Gibraltar, Greece, Albania, Croatia, Yemen)",
 "TaxonKey is Lathyrus basalticus Rech.f."
 ]
}

 The dataset includes 23 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198465-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dhcjm
title: Occurrence Download

description: A dataset containing 962662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirsium arvense (L.) Scop."
 ]
}

 The dataset includes 962662 records from 2620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138095-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0971739.10fu
title: SH0971739.10FU

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/sh0971740.10fu
title: SH0971740.10FU

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/sh0971741.10fu
title: SH0971741.10FU

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/sh0971742.10fu
title: SH0971742.10FU

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/sh0971743.10fu
title: SH0971743.10FU

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/sh0971744.10fu
title: SH0971744.10FU

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/sh0971745.10fu
title: SH0971745.10FU

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/sh0971746.10fu
title: SH0971746.10FU

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.