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

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceropegia deightonii Hutch. & Dalziel"
 ]
}

 The dataset includes 61 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089350-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95ke5t
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Milium effusum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Japan"
 ]
}

 The dataset includes 653 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018468-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-02.1941463/2362186
title: Data for EMSL Project 48666 from February 2020
DOI: 10.15468/dl.dcikvp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygraphus nobuchii Choo & Woo, 1989"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013274-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dr22m
title: Occurrence Download

description: A dataset containing 744805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-31.565747 32.097476, 2.479608666666667 32.097476, 2.479608666666667 49.184106666666665, -31.565747 49.184106666666665, -31.565747 32.097476))",
 "EventDate is 2014-05-01,2014-05-31"
 ]
}

 The dataset includes 744805 records from 732 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018451-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpfnwm
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cinnamomum scortechinii Gamble"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089359-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-04.1977469/2362187
title: Data for EMSL Project 48666 from April 2020
DOI: 10.25582/data.2020-04.1980329/2362188
title: Data for EMSL Project 48666 from April 2020
DOI: 10.15468/dl.mvtufa
title: Occurrence Download

description: A dataset containing 64308810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Occurrence evidence, Human Observation)",
 "Continent is one of (Asia, Europe)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anseriformes, Charadriiformes)",
 "Year 2015-2023"
 ]
}

 The dataset includes 64308810 records from 3388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018450-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hipba8
title: Occurrence Download

description: A dataset containing 12717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliconius charithonia (Linnaeus, 1767)"
 ]
}

 The dataset includes 12717 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010411-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybbhpb
title: Occurrence Download

description: A dataset containing 141675 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Hibbertia Andrews"
 ]
}

 The dataset includes 141675 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258909-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mtedq
title: Occurrence Download

description: A dataset containing 3845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "TaxonKey is Aconitum L.",
 "TaxonKey is Aconitum smithii Ulbr. ex Hand.-Mazz.",
 "TaxonKey is Aconitum sessiliflorum (Finet & Gagnep.) Hand.-Mazz.",
 "TaxonKey is Aconitum pseudobrunneum W.T.Wang",
 "TaxonKey is Aconitum mashikense Kadota & S.Umezawa",
 "TaxonKey is Aconitum bulbilliferum Hand.-Mazz.",
 "TaxonKey is Aconitum tenuicaule W.T.Wang",
 "TaxonKey is Aconitum tasiroi Nakai",
 "TaxonKey is Aconitum scaposum Franch.",
 "TaxonKey is Aconitum flavum Hand.-Mazz."
 ]
 }
 ]
}

 The dataset includes 3845 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033137-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpc6nk
title: Occurrence Download

description: A dataset containing 30071147 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 30071147 records from 8798 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002496-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zuabt2
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Widdringtonia whytei Rendle",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029114-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6523898
title: An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the Mediterranean Sea

description: The ensemble provides future projections of key marine variables under climate change for the Mediterranean region. The datasets were produced for three different future scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) and five different variables (potential temperature, salinity, dissolved oxygen, pH and chlorophyll) at three different depth levels (5m, 25m and seafloor with the exception of chlorophyll) at monthly frequency for the years 1993 - 2099. The statistical metrics provided are the mean, standard deviation, minimum, maximum median, 2.5 and 97.5 percentile. The ensemble is computed over 3-7 different CMIP6 model realisations (depending on variable), the bias corrections and statistical downscaling was trained on the GLORYS12V1 reanalysis provided by the Copernicus Marine Environment Monitoring Service (CMEMS).

The following Earth System Models were used in building the ensemble:



CMCC-ESM2 (Lovato et al. 2022)

CMCC-CM2-SR5 (Cherchi et al. 2019)

GFDL-ESM4 (Dunne et al., 2020)

MPI-ESM1-2-LR (Mauritsen et al., 2020)

IPSL-CM6A-LR (Boucher et al. 2020)


A description of the downscaling approach and evaluation of the datasets over the European regions is published in Kristiansen et al. 2024.

 Analogue datasets are provided in separate zenodo entries for the regions of the North Sea, the Baltic Sea, the Bay of Biscay, the Chilean coast and the area around the Yucatán Peninsula, see “Related identifiers”.

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00021,  https://doi.org/10.48670/moi-00019.

This data is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.5281/zenodo.6524142
title: An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the Bay of Biscay

description: The ensemble provides future projections of key marine variables under climate change for the Bay of Biscay region. The datasets were produced for three different future scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) and five different variables (potential temperature, salinity, dissolved oxygen, pH and chlorophyll) at three different depth levels (5m, 25m and seafloor with the exception of chlorophyll) at monthly frequency for the years 1993 - 2099. The statistical metrics provided are the mean, standard deviation, minimum, maximum median, 2.5 and 97.5 percentile. The ensemble is computed over 4-7 different CMIP6 model realisations (depending on variable), the bias corrections and statistical downscaling applied is based on the methodology by Lange, 2019 and was trained on the GLORYS12V1 reanalysis provided by the Copernicus Marine Environment Monitoring Service (CMEMS).


The following Earth System Models were used in building the ensemble:



	
CMCC-ESM2 (Lovato et al. 2022)
	
CMCC-CM2-SR5 (Cherchi et al. 2019)
	
CanESM-CanOE (Swart et al., 2019)
	
GFDL-ESM4 (Dunne et al., 2020)
	
MIROC-ES2L (Hajima et al., 2020)
	
MPI-ESM1-2-LR (Mauritsen et al., 2020)
	
UKESM1-0-LL (Sellar et al., 2019)



 
Analogue datasets are provided in separate zenodo entries for the regions of the Mediterranean Sea, the North Sea, the Baltic Sea, the Chilean coast and the area around the Yucatán Peninsula, see “Related identifiers”.


 


We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00021,  https://doi.org/10.48670/moi-00019.



This data is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.15468/dl.apubeq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Monitoring of Nigritella nigra in the Kvikne mountains, Tynset, Norway",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203088-210914110416597/datasets/export for details.
DOI: 10.5281/zenodo.10794286
title: An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the Bay of Biscay

description: The ensemble provides future projections of key marine variables under climate change for the Bay of Biscay region. The datasets were produced for three different future scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) and five different variables (potential temperature, salinity, dissolved oxygen, pH and chlorophyll) at three different depth levels (5m, 25m and seafloor with the exception of chlorophyll) at monthly frequency for the years 1993 - 2099. The statistical metrics provided are the mean, standard deviation, minimum, maximum median, 2.5 and 97.5 percentile. The ensemble is computed over 3-7 different CMIP6 model realisations (depending on variable), the bias corrections and statistical downscaling  was trained on the GLORYS12V1 reanalysis provided by the Copernicus Marine Environment Monitoring Service (CMEMS).

The following Earth System Models were used in building the ensemble:



CMCC-ESM2 (Lovato et al. 2022)

CMCC-CM2-SR5 (Cherchi et al. 2019)

GFDL-ESM4 (Dunne et al., 2020)

MPI-ESM1-2-LR (Mauritsen et al., 2020)

IPSL-CM6A-LR (Boucher et al. 2020)


A description of the downscaling approach and evaluation of the datasets over the European regions is published in Kristiansen et al. 2024.

Analogue datasets are provided in separate zenodo entries for the regions of the Mediterranean Sea, the North Sea, the Baltic Sea, the Chilean coast and the area around the Yucatán Peninsula, see “Related identifiers”.

 

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00021,  https://doi.org/10.48670/moi-00019.

This data is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.5281/zenodo.6523925
title: An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the North Sea

description: The ensemble provides future projections of key marine variables under climate change for the North Sea region. The datasets were produced for three different future scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) and five different variables (potential temperature, salinity, dissolved oxygen, pH and chlorophyll) at three different depth levels (5m, 25m and seafloor with the exception of chlorophyll) at monthly frequency for the years 1993 - 2099. The statistical metrics provided are the mean, standard deviation, minimum, maximum median, 2.5 and 97.5 percentile. The ensemble is computed over 3-7 different CMIP6 model realisations (depending on variable), the bias corrections and statistical downscaling was trained on the GLORYS12V1 reanalysis provided by the Copernicus Marine Environment Monitoring Service (CMEMS).

The following Earth System Models were used in building the ensemble:



CMCC-ESM2 (Lovato et al. 2022)

CMCC-CM2-SR5 (Cherchi et al. 2019)

GFDL-ESM4 (Dunne et al., 2020)

MPI-ESM1-2-LR (Mauritsen et al., 2020)

IPSL-CM6A-LR (Boucher et al. 2020)


A description of the downscaling approach and evaluation of the datasets over the European regions is published in Kristiansen et al. 2024.

 Analogue datasets are provided in separate zenodo entries for the regions of the Mediterranean Sea, the Baltic Sea, the Bay of Biscay, the Chilean coast and the area around the Yucatán Peninsula, see “Related identifiers”.

 

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00021,  https://doi.org/10.48670/moi-00019.

This data is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.15468/dl.xqpndm
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tylospora asterophora (Bonord.) Donk, Typhula uncialis (Grev.) Berthier, Volvariella hypopithys (Fr.) Shaffer)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 922 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166770-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/y5cx-8zan
title: Measurement of Aerosol_optical_depth at Adelaide

description: Measurement of Aerosol_optical_depth at Adelaide
DOI: 10.5281/zenodo.6524163
title: An ensemble of trend preserving statistically downscaled projections for key marine variables under three different future scenarios for the region of the Yucatán Peninsula

description: The ensemble provides future projections of key marine variables under climate change for the region of the Yucatán Peninsula. The datasets were produced for three different future scenarios (SSP1-2.6, SSP2-4.5 and SSP5-8.5) and five different variables (potential temperature, salinity, dissolved oxygen, pH and chlorophyll) at three different depth levels (5m, 25m and seafloor with the exception of chlorophyll) at monthly frequency for the years 1993 - 2099. The statistical metrics provided are the mean, standard deviation, minimum, maximum median, 2.5 and 97.5 percentile. The ensemble is computed over 3-7 different CMIP6 model realisations (depending on variable), the bias corrections and statistical downscaling was trained on the GLORYS12V1 reanalysis provided by the Copernicus Marine Environment Monitoring Service (CMEMS). Analogue datasets are provided in separate zenodo entries for the regions of the Mediterranean Sea, the North Sea, the Baltic Sea, the Bay of Biscay and the Chilean coast, see “Related identifiers”.

The following Earth System Models were used in building the ensemble:



CMCC-ESM2 (Lovato et al. 2022)

CMCC-CM2-SR5 (Cherchi et al. 2019)

GFDL-ESM4 (Dunne et al., 2020)

MPI-ESM1-2-LR (Mauritsen et al., 2020)

IPSL-CM6A-LR (Boucher et al. 2020)


 

We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP. Generated using E.U. Copernicus Marine Service Information; https://doi.org/10.48670/moi-00021,  https://doi.org/10.48670/moi-00019.

A description of the downscaling approach and evaluation of the datasets over the European regions is published in Kristiansen et al. 2024.

This data is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.15468/dl.r8y25q
title: Occurrence Download

description: A dataset containing 8980806 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Gastropoda"
 ]
}

 The dataset includes 8980806 records from 2550 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053736-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v7cn5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elusimicrobia",
 "HasCoordinate is true",
 "Country is one of (Hungary)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225752-210914110416597/datasets/export for details.
DOI: 10.15468/dl.kunrfj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puya dichroa L.B.Sm. & Read"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098669-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-52037
title: Redemption tidings, vol. 33, nos. 1-52, 4 Jan. - 25 Dec. 1957

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.5cbkqn
title: Occurrence Download

description: A dataset containing 2108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monomorium floricola (Jerdon, 1851)"
 ]
}

 The dataset includes 2108 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001594-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt6e8m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamogeton maritima L."
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093631-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bsjo3
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hakea cucullata R.Br.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045363-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drykkm
title: Occurrence Download

description: A dataset containing 2117402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gavia immer (Brunnich, 1764)"
 ]
}

 The dataset includes 2117402 records from 386 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0377950-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-51891
title: Redemption tidings, vol. 33, nos. 1-52, 4 Jan. - 25 Dec. 1957

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.d5x9gx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picocystophyceae",
 "HasCoordinate is true",
 "Country is one of (Hungary)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0225763-210914110416597/datasets/export for details.