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

description: A dataset containing 5083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate rounded"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Chiropterotriton chiropterus (Cope, 1863)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5083 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011204-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11246994
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2020_306-366)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave ward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave ward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2020 (DOY: 306-366). Please click here to download the ELITE Daily SLUR product in 2021(DOY: 001-059).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2020-11-01 ~ 2020-12-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.11246995
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2020_306-366)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE daily surface longwave ward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave ward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2020 (DOY: 306-366). Please click here to download the ELITE Daily SLUR product in 2021(DOY: 001-059).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2020-11-01 ~ 2020-12-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

Citation (Please cite these papers when using the data):



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.15468/dl.2nr9sk
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambastaia nigrolineata (Kottelat & Chu, 1987)"
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0233391-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkxbn5
title: Occurrence Download

description: A dataset containing 1546 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Milla biflora Cav."
 ]
}

 The dataset includes 1546 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235405-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auquvg
title: Occurrence Download

description: A dataset containing 12195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arhopalus rusticus (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12195 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050660-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dlyvss
title: Occurrence Download

description: A dataset containing 35007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ixodida",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35007 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011204-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cv85a6
title: Occurrence Download

description: A dataset containing 657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Najas flexilis (Willd.) Rostk. & W.L.E.Schmidt"
 ]
}

 The dataset includes 657 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250857-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn7qvp
title: Occurrence Download

description: A dataset containing 10381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Vertebrate Zoology Division - Mammalogy, Yale Peabody Museum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10381 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290760-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3puwt
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus matiziana Dugand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 364 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032054-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9j6xc
title: Occurrence Download

description: A dataset containing 2080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian Museum of Nature Herbarium",
 "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862",
 "TaxonKey is Juncus L."
 ]
}

 The dataset includes 2080 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290761-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxmljg
title: Occurrence Download

description: A dataset containing 7437 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Apodemus agrarius (Pallas, 1771)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7437 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011205-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bihkjy
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is Guyana",
 "Country is French Guiana",
 "Country is Suriname"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Xylopia aromatica (Lam.) Mart.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 57 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036670-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sg9hq
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Boccardia proboscidea Hartman, 1940"
 ]
}

 The dataset includes 28 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196319-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynwr6y
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermatemys mawii Gray, 1847"
 ]
}

 The dataset includes 365 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011213-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mvvna
title: Occurrence Download

description: A dataset containing 4742316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Tropicos MO Specimen Data",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 4742316 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076993-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6r34e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lund University Biological Museum - Insect collections Inventory",
 "TaxonKey is Tentyria peiroleri Solier, 1835"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275817-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvdham
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Archivesica gigas (Dall, 1896)"
 ]
}

 The dataset includes 354 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196312-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hr4yv
title: Occurrence Download

description: A dataset containing 7745313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Myanmar, Malaysia, Philippines, Singapore, Thailand, Viet Nam)",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 7745313 records from 1820 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275797-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/c6d3cvx2
title: Stochastic Block Model

description: The stochastic block model is a statistical problem where the goal is to recover a community structure from a graph. The model is defined by a graph G with vertex set [n] = {1,..., n}, with edges drawn independently as follows: for vertices u, v, we have u ∼ v with probability a/n if σuσv = 1, and probability b/n if σuσv = −1.
DOI: 10.15468/dl.bctvaf
title: Occurrence Download

description: A dataset containing 332336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aegilops tauschii, Aegilops umbellulata, Amborella trichopoda, Ananas comosus, Arabidopsis halleri, Arabidopsis lyrata, Arabidopsis thaliana, Arabis alpina, Arachis hypogaea)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 332336 records from 2139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079748-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82sszq
title: Occurrence Download

description: A dataset containing 2305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cebus capucinus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2305 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005785-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehjb76
title: Occurrence Download

description: A dataset containing 6441 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forest vegetation of the northeastern part of the Kostroma region (European Russia)"
 ]
}

 The dataset includes 6441 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006642-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn3bdh
title: Occurrence Download

description: A dataset containing 6441 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forest vegetation of the northeastern part of the Kostroma region (European Russia)"
 ]
}

 The dataset includes 6441 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006643-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryqmpy
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eucalyptus caesia"
 ]
}

 The dataset includes 437 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080457-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1216417.10fu
title: SH1216417.10FU

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/sh1216421.10fu
title: SH1216421.10FU

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/sh1216423.10fu
title: SH1216423.10FU

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/sh1216425.10fu
title: SH1216425.10FU

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/sh1216433.10fu
title: SH1216433.10FU

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/sh1216435.10fu
title: SH1216435.10FU

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.