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

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.05181 10.65824,-83.50417 10.65824,-83.50417 19.27351,-105.05181 19.27351,-105.05181 10.65824))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bagre panamensis (Gill, 1863)"
 ]
}

 The dataset includes 87 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256278-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z7fug
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea lozanii Painter ex House"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253945-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq2a72
title: Occurrence Download

description: A dataset containing 35201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Quercus pyrenaica Willd."
 ]
}

 The dataset includes 35201 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005432-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jbkr4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastigostyla shepardiae (R.C.Foster) Ravenna"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020580-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ychfby
title: Occurrence Download

description: A dataset containing 5441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myagrum perfoliatum L."
 ]
}

 The dataset includes 5441 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044554-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k559k7
title: Occurrence Download

description: A dataset containing 558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea longifolia Benth."
 ]
}

 The dataset includes 558 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253942-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqtdkc
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culicidae",
 "Country is Nauru"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027889-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5ww9n
title: Occurrence Download

description: A dataset containing 15430 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire des Crustacés Isopodes terrestres de France métropolitaine - Inventaire des Crustacés Isopodes de France métropolitaine"
 ]
}

 The dataset includes 15430 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005446-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jev8u
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Juglans neotropica Diels",
 "Year 2000-2010"
 ]
}

 The dataset includes 21 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256273-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv8772
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((8.626693 39.875388,8.62707 39.875172,8.627919 39.874523,8.628625 39.874381,8.629282 39.874419,8.629657 39.874529,8.630078 39.874856,8.630313 39.87482,8.630596 39.874713,8.631067 39.874497,8.631913 39.874283,8.632617 39.874429,8.632852 39.87443,8.633276 39.874323,8.63445 39.874327,8.635295 39.874329,8.636282 39.874296,8.636799 39.874153,8.638378 39.868729,8.638944 39.868188,8.638098 39.868439,8.637346 39.868473,8.636314 39.868288,8.635093 39.86814,8.633496 39.868135,8.632183 39.867841,8.631104 39.867548,8.630117 39.867545,8.632048 39.86661,8.633322 39.865492,8.634455 39.864446,8.634973 39.864195,8.63634 39.863294,8.635591 39.862857,8.634794 39.862529,8.633481 39.862127,8.632871 39.862089,8.632214 39.86187,8.631885 39.861905,8.631463 39.861759,8.630947 39.861757,8.630666 39.861539,8.62888 39.861859,8.627563 39.862181,8.626621 39.862648,8.626245 39.862756,8.624599 39.86304,8.622859 39.863505,8.621779 39.863538,8.620138 39.863026,8.618685 39.862514,8.618121 39.86244,8.616855 39.86211,8.615962 39.86218,8.614932 39.861597,8.614419 39.861089,8.613852 39.861594,8.613379 39.862135,8.612718 39.862821,8.612154 39.862964,8.611774 39.863686,8.610825 39.865312,8.612466 39.865896,8.613027 39.866368,8.614055 39.86724,8.612363 39.867488,8.611187 39.86781,8.609865 39.869072,8.609298 39.869613,8.610096 39.869761,8.610753 39.869763,8.611599 39.869802,8.612491 39.869805,8.6131 39.87006,8.613357 39.874476,8.614061 39.874623,8.614765 39.874843,8.616217 39.875608,8.617159 39.875104,8.617535 39.875105,8.617723 39.87507,8.618101 39.874673,8.619041 39.874531,8.619746 39.874389,8.62017 39.874209,8.620593 39.87421,8.621297 39.874357,8.621718 39.874576,8.62242 39.875157,8.622936 39.875304,8.62317 39.875377,8.623262 39.875703,8.623402 39.875957,8.623729 39.876211,8.623822 39.876501,8.623679 39.876826,8.624426 39.877697,8.624471 39.878132,8.624373 39.878746,8.62437 39.879289,8.62451 39.879579,8.624367 39.879941,8.626808 39.880202,8.627748 39.880241,8.627936 39.880205,8.629019 39.879702,8.62832 39.87865,8.627251 39.876584,8.626693 39.875388)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027894-230530130749713/datasets/export for details.
DOI: 10.15468/dl.cpm4yu
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ipomoea lutea Hemsl."
 ]
}

 The dataset includes 79 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253946-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d46pyd
title: Occurrence Download

description: A dataset containing 995 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zizania latifolia (Griseb.) Hance ex F.Muell."
 ]
}

 The dataset includes 995 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005438-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/pwo9iq
title: Research integrity in Portugal.

description: This fully anonymized database contains n=1573 cases with information on research integrity practices in Portugal.
description: It is under review
DOI: 10.21227/r1b3-dt73
title: "TPL-Benchmark"

description: "We will release the entire dataset once our paper is accepted."
DOI: 10.15468/dl.8587dj
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe beharensis",
 "Country is Rwanda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005275-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtbg55
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kalanchoe beharensis",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005274-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsj858
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pueraria javanica (Benth.) Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023141-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt65yk
title: Occurrence Download

description: A dataset containing 19790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pueraria montana (Lour.) Merr.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19790 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023143-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gh8x2z
title: Occurrence Download

description: A dataset containing 122250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 122250 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023131-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v72rag
title: Occurrence Download

description: A dataset containing 21141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pueraria DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21141 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023144-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp6d3x
title: Occurrence Download

description: A dataset listing the 420 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z((81.0637 50.95007 0,81.17877 51.18543 0,81.13717 51.21087 0,81.09795 51.17564 0,80.91925 51.2184 0,80.93482 51.25188 0,80.68464 51.31121 0,80.64742 51.20699 0,80.45461 51.20652 0,80.48108 50.97191 0,80.22013 50.90933 0,80.19708 50.83031 0,80.07783 50.83912 0,80.07199 50.73926 0,79.35768 51.71318 0,79.06303 51.59572 0,79.10262 51.51885 0,78.70587 51.49831 0,78.76608 51.32305 0,78.03396 51.13121 0,78.2653 50.87423 0,78.5307 50.68592 0,78.72688 50.6377 0,79.26996 50.59645 0,79.71848 50.46046 0,80.23596 50.33787 0,81.64359 50.25239 0,81.58389 50.74166 0,81.44894 50.75929 0,81.4132 50.97247 0,81.0637 50.95007 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 420 records were derived from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023140-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14709240
title: Disturbance in Iberiam Peninsula from 2017 to 2021

description: This is the data used or generated in the paper, "Canopy height and biomass distribution across the forests of Iberian Peninsula".

Authors

Yang Su a, b, c, Martin Schwartz b, Ibrahim Fayad b, García Alonso Mariano d, Miguel A. Zavala e, Julián Tijerín-Triviño e, Julen Astigarraga e, Verónica Cruz f, Siyu Liu g, Xianglin Zhang c, h, Songchao Chen h,i, François Ritter b, Nikola Besic j, Alexandre d'Aspremont a, Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d University of Alcalá, Department of Geology, Geography and the Environment, Enviromental Remote Sensing Research Group, 28801 Alcalá de Henares, Spain

e University of Alcalá, Department of Life Sciences, 28801 Alcalá de Henares, Spain

f Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, 28040 Madrid, Spain

g Department of Geosciences and Natural Resource Management, Copenhagen University, 1958 Frederiksberg, Denmark

h College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

i ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

j IGN, ENSG, Laboratoire d'inventaire forestier (LIF), 54000 Nancy, France

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École normale supérieure - PSL

 

To use the model and data, please contact the corresponding author for more details.

 

The maps of canopy height and above-ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in Table 2 in this study. A preview of those maps can be found here: https://ens-yangsu-forest-spain-als.projects.earthengine.app/view/ai4forest-iberian-peninsula




Funding



Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche
Find out more...

 

MAZ, JTT, JA and VCA acknowledge support from the Spanish Ministry of Science and Innovation (grant LARGE, Nº PID2021-123675OB-C41).

MG acknowledges support from the Spanish Ministry of Science and Innovation (grant REMOTE, Nº PID2021-123675OB-C42). 

VCA was supported by the Ministry of Universities, Spain, and Next Generation-EU, with “Maria Zambrano” fellowship.
DOI: 10.5281/zenodo.14709239
title: Disturbance in Iberiam Peninsula from 2017 to 2021

description: This is the data used or generated in the paper, "Canopy height and biomass distribution across the forests of Iberian Peninsula".

Authors

Yang Su a, b, c, Martin Schwartz b, Ibrahim Fayad b, García Alonso Mariano d, Miguel A. Zavala e, Julián Tijerín-Triviño e, Julen Astigarraga e, Verónica Cruz f, Siyu Liu g, Xianglin Zhang c, h, Songchao Chen h,i, François Ritter b, Nikola Besic j, Alexandre d'Aspremont a, Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d University of Alcalá, Department of Geology, Geography and the Environment, Enviromental Remote Sensing Research Group, 28801 Alcalá de Henares, Spain

e University of Alcalá, Department of Life Sciences, 28801 Alcalá de Henares, Spain

f Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, 28040 Madrid, Spain

g Department of Geosciences and Natural Resource Management, Copenhagen University, 1958 Frederiksberg, Denmark

h College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

i ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

j IGN, ENSG, Laboratoire d'inventaire forestier (LIF), 54000 Nancy, France

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École normale supérieure - PSL

 

To use the data, please cite this study, and in case of difficulties when using the model and data, please contact the corresponding author for further details and possible assistance

 

The maps of canopy height and above-ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in Table 1-5 in this study. A preview of those maps can be found here: https://ens-yangsu-forest-spain-als.projects.earthengine.app/view/ai4forest-iberian-peninsula

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...

 

MAZ, JTT, JA and VCA acknowledge support from the Spanish Ministry of Science and Innovation (grant LARGE, Nº PID2021-123675OB-C41).

MG acknowledges support from the Spanish Ministry of Science and Innovation (grant REMOTE, Nº PID2021-123675OB-C42). 

VCA was supported by the Ministry of Universities, Spain, and Next Generation-EU, with “Maria Zambrano” fellowship.
DOI: 10.5281/zenodo.15072417
title: Disturbance in Iberiam Peninsula from 2017 to 2021

description: This is the data used or generated in the paper, "Canopy height and biomass distribution across the forests of Iberian Peninsula".

Authors

Yang Su a, b, c, Martin Schwartz b, Ibrahim Fayad b, García Alonso Mariano d, Miguel A. Zavala e, Julián Tijerín-Triviño e, Julen Astigarraga e, Verónica Cruz f, Siyu Liu g, Xianglin Zhang c, h, Songchao Chen h,i, François Ritter b, Nikola Besic j, Alexandre d'Aspremont a, Philippe Ciais b

 

Affiliations

a Département d'Informatique, École Normale Supérieure – PSL, 45 Rue d'Ulm, 75005 Paris, France

b Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ Orme des Merisiers, 91190 Gif-sur-Yvette, France

c UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 91120 Palaiseau, France

d University of Alcalá, Department of Geology, Geography and the Environment, Enviromental Remote Sensing Research Group, 28801 Alcalá de Henares, Spain

e University of Alcalá, Department of Life Sciences, 28801 Alcalá de Henares, Spain

f Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, 28040 Madrid, Spain

g Department of Geosciences and Natural Resource Management, Copenhagen University, 1958 Frederiksberg, Denmark

h College of Environmental and Resource Sciences, Zhejiang University, 310058 Hangzhou, China

i ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, 311215 Hangzhou, China

j IGN, ENSG, Laboratoire d'inventaire forestier (LIF), 54000 Nancy, France

 

Corresponding Author

Yang Su

yang.su@ens.fr

+33 1 89 10 07 67

École normale supérieure - PSL

 

To use the data, please cite this study, and in case of difficulties when using the model and data, please contact the corresponding author for further details and possible assistance

 

The maps of canopy height and above-ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in Table 1-5 in this study. A preview of those maps can be found here: https://ens-yangsu-forest-spain-als.projects.earthengine.app/view/ai4forest-iberian-peninsula

Funding

Artificial Intelligence for forest monitoring from space – AI4Forests

Agence Nationale de la Recherche

Find out more...

 

MAZ, JTT, JA and VCA acknowledge support from the Spanish Ministry of Science and Innovation (grant LARGE, Nº PID2021-123675OB-C41).

MG acknowledges support from the Spanish Ministry of Science and Innovation (grant REMOTE, Nº PID2021-123675OB-C42). 

VCA was supported by the Ministry of Universities, Spain, and Next Generation-EU, with “Maria Zambrano” fellowship.
DOI: 10.15468/dl.fyqswn
title: Occurrence Download

description: A dataset containing 1358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pueraria phaseoloides (Roxb.) Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1358 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023146-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1143324.10fu
title: SH1143324.10FU

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/sh1143325.10fu
title: SH1143325.10FU

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.