cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1098770.09fu
title: SH1098770.09FU

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/sh1098771.09fu
title: SH1098771.09FU

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/sh1098772.09fu
title: SH1098772.09FU

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/sh1098773.09fu
title: SH1098773.09FU

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.s6xkh2
title: Occurrence Download

description: A dataset containing 198978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded)",
 "TaxonKey is Soricidae"
 ]
}

 The dataset includes 198978 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101631-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhpx2m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyrtandra subumbellata (Hillebr.) H.St.John & Storey)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101685-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5duggj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba cazorlensis (Fagel, 1961)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101686-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jvtuh9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Proporcellio mirabilis (Vandel, 1946)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101687-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfn5zm
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metynnis lippincottianus (Cope, 1870)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 168 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101688-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10714683
title: Earth's curvature effect on global warming (1850–2300)

description: Data Set



Model : CMIP6 MRI-ESM2-0 (Japan) 

Scenario : historical + SSP5-8.5 experiment

Area : global (-90°S~90°N, -180°W~180°E)

Period : 1850-01-01 ~ 2300-12-31

Horizontal resolution : 1.125° × 1.125° 

Temporal resolution : daily

Variable : daily maximum near-surface air temperature

Source: https://doi.org/10.24381/cds.c866074c


 

Data1



Data1.xlsx:



(a) Year 1850: Annual average temperature in 1850

(b) Year 2000−Year 1850: Difference between the present (Year 2000) and 1850

(c) Year 2150−Year 1850: Difference between the near future (Year 2150) and 1850

(d) Year 2300−Year 1850: Difference between the future (Year 2300) and 1850



Longitude and Latitude: The first column and row represent longitude and latitude, containing global temperature data.

Code1.py: Source code for processing Data1.xlsx


Data 2



Weighted Analysis: To analyze the Earth's curvature effect, geodetic weights were applied using cosine weighting based on latitude (w(ϕ) = cos(ϕ), where ϕ represents latitude).

Dataset :



weighted: Using cosine weighting

unweighted: Without using cosine weighting

Difference: Difference between the two (Difference (weighted – unweighted)).



Code2.py : Source code for processing and analyzing the data contained in Data2.xlsx.


Data 3



Data3.xlsx : 



(a) Year 1850: Occurrence frequency of daily maximum near-surface air temperatures equal to or exceeding 35°C in the year 1850

(b) Year 2000 – Year 1850: Difference in occurrence frequency between the present (Year 2000) and 1850

(c) Year 2150 – Year 1850: Difference in occurrence frequency between the near future (Year 2150) and 1850

(d) Year 2300 – Year 1850: Difference in occurrence frequency between the future (Year 2300) and 1850.



Longitude and Latitude: The first column and row represent longitude and latitude, encompassing global temperature occurrence data.

Code3.py: Source code for processing and analyzing the data contained in Data3.xlsx.


Data 4



(a) Frequency (weighted): Counts the occurrence of temperatures between 30°C and 60°C from 1850 to 2300 using cosine weighting.

(b) Frequency (unweighted): Counts the occurrence of temperatures between 30°C and 60°C without using cosine weighting.

(c) Difference (weighted – unweighted): The difference between (a) Frequency (weighted) and (b) Frequency (unweighted).

(d) Difference (weighted – unweighted) mean: The mean of (c) Difference (weighted – unweighted) across all years.


Acknowledgments

This work was also supported by Global - Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. RS-2023-00301914).
DOI: 10.5281/zenodo.10714684
title: Heat stress changes by global warming (1850-2300)

description: Data Set



Model : CMIP6 MRI-ESM2-0 (Japan) 

Scenario : historical + SSP5-8.5 experiment

Area : global (-90°S~90°N, -180°W~180°E)

Period : 1850-01-01 ~ 2300-12-31

Horizontal resolution : 1.125° × 1.125° 

Temporal resolution : daily

Variable : daily maximum near-surface air temperature

Source: https://doi.org/10.24381/cds.c866074c


Data 1



Data1.xlsx : temperature threshold (℃), occurence frequency (1850), occurence frequency (2023), occurence frequency (2100), occurence frequency (2300)

Year : past (1850), present (2023), near future (2100), future (2300)

Occurence frequency : # of cases with daily maximum near-surface air temperature larger than the temperature threshold

Code1.py : source code for Data 1 


Data 2



Data2.xlsx : temperature range (℃), temperature threshold (℃), occurence frequency (1850), occurence frequency (2023), occurence frequency (2100), occurence frequency (2300)

Year : past (1850), present (2023), near future (2100), future (2300)

Occurence frequency : # of cases with daily maximum near-surface air temperature for the temperature range

Code2.py : source code for Data 2


Acknowledgments

This research is supported by Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. RS-2023-00301914).
DOI: 10.5281/zenodo.13373756
title: Earth's curvature effect on global warming (1850–2300)

description: Data Set



Model : CMIP6 MRI-ESM2-0 (Japan) 

Scenario : historical + SSP5-8.5 experiment

Area : global (-90°S~90°N, -180°W~180°E)

Period : 1850-01-01 ~ 2300-12-31

Horizontal resolution : 1.125° × 1.125° 

Temporal resolution : daily

Variable : daily maximum near-surface air temperature

Source: https://doi.org/10.24381/cds.c866074c


 

Data1



Data1.xlsx:



(a) Year 1850: Annual average temperature in 1850

(b) Year 2000−Year 1850: Difference between the present (Year 2000) and 1850

(c) Year 2150−Year 1850: Difference between the near future (Year 2150) and 1850

(d) Year 2300−Year 1850: Difference between the future (Year 2300) and 1850



Longitude and Latitude: The first column and row represent longitude and latitude, containing global temperature data.

Code1.py: Source code for processing Data1.xlsx


Data 2



Weighted Analysis: To analyze the Earth's curvature effect, geodetic weights were applied using cosine weighting based on latitude (w(ϕ) = cos(ϕ), where ϕ represents latitude).

Dataset :



weighted: Using cosine weighting

unweighted: Without using cosine weighting

Difference: Difference between the two (Difference (weighted – unweighted)).



Code2.py : Source code for processing and analyzing the data contained in Data2.xlsx.


Data 3



Data3.xlsx : 



(a) Year 1850: Occurrence frequency of daily maximum near-surface air temperatures equal to or exceeding 35°C in the year 1850

(b) Year 2000 – Year 1850: Difference in occurrence frequency between the present (Year 2000) and 1850

(c) Year 2150 – Year 1850: Difference in occurrence frequency between the near future (Year 2150) and 1850

(d) Year 2300 – Year 1850: Difference in occurrence frequency between the future (Year 2300) and 1850.



Longitude and Latitude: The first column and row represent longitude and latitude, encompassing global temperature occurrence data.

Code3.py: Source code for processing and analyzing the data contained in Data3.xlsx.


Data 4



(a) Frequency (weighted): Counts the occurrence of temperatures between 30°C and 60°C from 1850 to 2300 using cosine weighting.

(b) Frequency (unweighted): Counts the occurrence of temperatures between 30°C and 60°C without using cosine weighting.

(c) Difference (weighted – unweighted): The difference between (a) Frequency (weighted) and (b) Frequency (unweighted).

(d) Difference (weighted – unweighted) mean: The mean of (c) Difference (weighted – unweighted) across all years.


Acknowledgments

This work was also supported by Global - Learning & Academic research institution for Master’s·PhD students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. RS-2023-00301914).
DOI: 10.15468/dl.zzzqws
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Typhochrestus sardus Bosmans, 2008",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101689-240626123714530/datasets/export for details.
DOI: 10.15468/dl.25ybka
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyrtandra viridiflora H.St.John & Storey)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101691-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7pewa2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba cribripennis Pace, 1990",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101692-240626123714530/datasets/export for details.
DOI: 10.15468/dl.a5dek4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Proporcellio antiochius (Arcangeli, 1950)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101693-240626123714530/datasets/export for details.
DOI: 10.15468/dl.neu4wk
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metynnis maculatus (Kner, 1858)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 179 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101694-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x36rvn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Typhochrestus sylviae Hauge, 1968",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101695-240626123714530/datasets/export for details.
DOI: 10.15468/dl.hu7vax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delissea rhytidosperma H.Mann)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101696-240626123714530/datasets/export for details.
DOI: 10.15468/dl.syszu2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba magrinii Pace, 1996",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101698-240626123714530/datasets/export for details.
DOI: 10.15468/dl.fpu5b4
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Proporcellio vulcanius Verhoeff, 1908",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101697-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7x9v6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Typhochrestus simoni Lessert, 1907",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 27 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101700-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9egvk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Microcosmus exasperatus Heller, 1878",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101699-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yugvtw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Delissea takeuchii Lammers)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101701-240626123714530/datasets/export for details.
DOI: 10.15468/dl.e4z6uu
title: Occurrence Download

description: A dataset containing 1097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antilocapra americana americana"
 ]
}

 The dataset includes 1097 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101702-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.