cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8nx45f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4938200","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024570-241024112534372/datasets/export for details.
DOI: 10.15468/dl.e2z35q
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Urogale everetti (Thomas, 1892)"
 ]
}

 The dataset includes 130 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024572-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27323346.v1
title: Milling dataset

description: Deep learning methods have shown significant potential in tool wear lifecycle analysis. However, there are fewer open source datasets due to the high cost of data collection and equipment time investment. Existing datasets often fail to capture cutting force changes directly. This paper introduces a comprehensive dataset for the full lifecycle of titanium (Ti6Al4V) tool wear. This dataset utilizes complex circumferential milling paths and employs a rotary dynamometer to directly measure cutting force and torque, alongside multidimensional data from initial wear to severe wear. The dataset consists of 68 different samples with approximately 5 million rows each and includes vibration, sound, cutting force, and torque. Detailed wear pictures and measurement values are also provided. It is a valuable resource for time series prediction, anomaly detection, and tool wear studies. We believe this dataset will be a crucial resource for smart manufacturing research.
DOI: 10.5281/zenodo.11471118
title: DDF_test_data
DOI: 10.5281/zenodo.11471604
title: DDF_test_data
DOI: 10.5281/zenodo.14041129
title: DDF_test_data
DOI: 10.5281/zenodo.14041117
title: SHY Project - Baseline Lifecycle Impacts Dataset

description: This document has been developed by Julia F. Chozas, Consulting Engineer and Wavepiston A/S.

The aim of this document is to present the database compiled as part of Task 6.1 of the SHY project. 

These data has also been presented in Deliverable 6.1 "Baseline Lifecycle Impacts", which will be publicly available at: https://shyproject.eu/project-results/

Any questions can be directly addressed to Julia Fernandez Chozas (info@juliafchozas.com)
DOI: 10.5281/zenodo.14041118
title: SHY Project - Baseline Lifecycle Impacts Dataset

description: This document has been developed by Julia F. Chozas, Consulting Engineer and Wavepiston A/S.

The aim of this document is to present the database compiled as part of Task 6.1 of the SHY project. 

These data has also been presented in Deliverable 6.1 "Baseline Lifecycle Impacts", which will be publicly available at: https://shyproject.eu/project-results/

Any questions can be directly addressed to Julia Fernandez Chozas (info@juliafchozas.com)
DOI: 10.5281/zenodo.13904222
title: Biomarkers improving genetic and metastatic disease prediction in paraganglioma: insights from a prospective study

description: Tom Drossart1*, Alexandre Buffet1,2*, Ali Janbain3, Chris Ottolenghi4, Laurence Amar1,5, Rossella Libé6, Delphine Drui7, Charlotte Lussey-Lepoutre1,8, Maxence Mancini1,2, Timgad Lounis2,5, Armelle Arnoux3, Tchao Méatchi9, Jérôme Bertherat6,10, Nelly Burnichon1,2, Judith Favier1#, Anne-Paule Gimenez- Roqueplo1,2#; for the COMETE-TACTIC Study Group

 

1-     Université Paris Cité, Inserm, PARCC, Équipe Labellisée Ligue contre le Cancer, F-75015 Paris, France

2-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Département de Médecine Génomique des Tumeurs et des Cancers, Fédération de Génétique et de Médecine Génomique F-75015 Paris, France. 

3-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité de Recherche Clinique, Université Paris Cité, F-75015 Paris, France.

4-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Necker Hospital, Biochemistry, Metabolomics Unit, F 75015 Paris, France.

5-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité Fonctionnelle d'Hypertension Artérielle, Centre de référence des maladies de la surrénale, Université Paris Cité, F-75015 Paris, France.

6-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Cochin, Department of Endocrinology and National Reference Center for Rare Adrenal Disorders, F 75014 Paris, France.

7-     Nantes University Hospital, Endocrinology Department, F-44000 Nantes, France.

8-     Sorbonne Université, AP-HP, Hôpital Pitié-Salpêtrière, Service de Médecine Nucléaire, 75013 Paris, France

9-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Department of Pathology, Université Paris Cité, F-75015 Paris, France.

10-  Université de Paris Cité, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014 Paris, France

 

*Both authors equally contributed to this study

# Both authors jointly directed this study
DOI: 10.5281/zenodo.13904221
title: Biomarkers improving genetic and metastatic disease prediction in paraganglioma: insights from a prospective study

description: Tom Drossart1*, Alexandre Buffet1,2*, Ali Janbain3, Chris Ottolenghi4, Laurence Amar1,5, Rossella Libé6, Delphine Drui7, Charlotte Lussey-Lepoutre1,8, Maxence Mancini1,2, Timgad Lounis2,5, Armelle Arnoux3, Tchao Méatchi9, Jérôme Bertherat6,10, Nelly Burnichon1,2, Judith Favier1#, Anne-Paule Gimenez- Roqueplo1,2#; for the COMETE-TACTIC Study Group

 

1-     Université Paris Cité, Inserm, PARCC, Équipe Labellisée Ligue contre le Cancer, F-75015 Paris, France

2-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Département de Médecine Génomique des Tumeurs et des Cancers, Fédération de Génétique et de Médecine Génomique F-75015 Paris, France. 

3-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité de Recherche Clinique, Université Paris Cité, F-75015 Paris, France.

4-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Necker Hospital, Biochemistry, Metabolomics Unit, F 75015 Paris, France.

5-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité Fonctionnelle d'Hypertension Artérielle, Centre de référence des maladies de la surrénale, Université Paris Cité, F-75015 Paris, France.

6-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Cochin, Department of Endocrinology and National Reference Center for Rare Adrenal Disorders, F 75014 Paris, France.

7-     Nantes University Hospital, Endocrinology Department, F-44000 Nantes, France.

8-     Sorbonne Université, AP-HP, Hôpital Pitié-Salpêtrière, Service de Médecine Nucléaire, 75013 Paris, France

9-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Department of Pathology, Université Paris Cité, F-75015 Paris, France.

10-  Université de Paris Cité, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014 Paris, France

 

*Both authors equally contributed to this study

# Both authors jointly directed this study
DOI: 10.5281/zenodo.14041144
title: Biomarkers improving genetic and metastatic disease prediction in paraganglioma: insights from a prospective study

description: Tom Drossart1*, Alexandre Buffet1,2*, Ali Janbain3, Chris Ottolenghi4, Laurence Amar1,5, Rossella Libé6, Delphine Drui7, Charlotte Lussey-Lepoutre1,8, Maxence Mancini1,2, Timgad Lounis2,5, Armelle Arnoux3, Tchao Méatchi9, Jérôme Bertherat6,10, Nelly Burnichon1,2, Judith Favier1#, Anne-Paule Gimenez- Roqueplo1,2#; for the COMETE-TACTIC Study Group

 

1-     Université Paris Cité, Inserm, PARCC, Équipe Labellisée Ligue contre le Cancer, F-75015 Paris, France

2-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Département de Médecine Génomique des Tumeurs et des Cancers, Fédération de Génétique et de Médecine Génomique F-75015 Paris, France. 

3-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité de Recherche Clinique, Université Paris Cité, F-75015 Paris, France.

4-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Necker Hospital, Biochemistry, Metabolomics Unit, F 75015 Paris, France.

5-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Unité Fonctionnelle d'Hypertension Artérielle, Centre de référence des maladies de la surrénale, Université Paris Cité, F-75015 Paris, France.

6-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Cochin, Department of Endocrinology and National Reference Center for Rare Adrenal Disorders, F 75014 Paris, France.

7-     Nantes University Hospital, Endocrinology Department, F-44000 Nantes, France.

8-     Sorbonne Université, AP-HP, Hôpital Pitié-Salpêtrière, Service de Médecine Nucléaire, 75013 Paris, France

9-     Assistance Publique-Hôpitaux de Paris (AP-HP) Centre, Hôpital Européen Georges Pompidou, Department of Pathology, Université Paris Cité, F-75015 Paris, France.

10-  Université de Paris Cité, Institut Cochin, Inserm U1016, CNRS UMR8104, F-75014 Paris, France

 

*Both authors equally contributed to this study

# Both authors jointly directed this study
DOI: 10.5281/zenodo.14041013
title: FRACTESUS_UC_S355J2_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Master curve output S355J2. UC.
DOI: 10.5281/zenodo.14041014
title: FRACTESUS_UC_S355J2_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Master curve output A533B LUS. CRIEPI.
DOI: 10.5281/zenodo.14041143
title: FRACTESUS_UC_S355J2_T0_MCT_output

description: Fractesus project. Fracture test mini-CT. Master curve output S355J2. UC.
DOI: 10.5281/zenodo.11058508
title: Harmonized livestock number dataset for Europe

description: This dataset comprises spatial and temporal data on ruminant livestock distributions on detailed spatial level. We collected statistics on cattle, sheep and goats distribution for 43 countries and territories in Europe: for 31 countries  and territories we collected data on the level of local administrative units, for 8 countries on regional level (NUTS 3), and on national level (NUTS 0) for 4 countries. We provide data for over 73 thousand administrative units, making them more detailed than publicly provided by the European Statistical Office (which reports data for 325 adminstrative units). The data are available for the periods corresponding to 2000, 2010 and 2020.

Harmonizing to livestock units:

We harmonized the data to livestock units (LSU), making them easy to use and compare between different countries and regions. We used livestock coefficients provided by EUROSTAT (https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Livestock_unit_(LSU) ) to harmonize numbers of different livestock types, with more detail on the processing provided in the accompanying data_sources.xlsx file.File description:

The data-set consists of the following files:



a spreadsheet describing in detail the sources of data and how the data was processed (file data_sources.xlsx)

three geopackage files (archived as a zip file) for each year (2000, 2010, 2020) for harmonized ruminant livestock numbers for all 43 countries and territories (livestock2000.zip, livestock2010.zip, livestock2020.zip )

three geopackage files (archived as a zip file) for each year (2000, 2010, 2020) for sheep and goats for Poland (as the numbers are provided on a different level for these two livestock type for Poland) (poland_sheep_goats2000.zip , poland_sheep_goats2010.zip , poland_sheep_goats2020.zip )

a geopackage file (archived as a zip file) with (estimated) shares of cattle grazing for each country, in many cases for subnational units (grazing_share.zip )


Source information:

The raw data on livestock numbers are available from each country individually, and we provide the sources in the data_sources.xlsx file , to enable future updates.

 



This dataset has been created as part of LAMASUS Project under the scope of Deliverable 2.1 titled "The LUM Geodatabase and Area Estimates of Land Use Change to 2018 ". The full text of the deliverable can be accessed via: https://www.lamasus.eu/wp-content/uploads/LAMASUS_D2.1_LUMGeodatabase.pdf.
DOI: 10.15468/dl.u4ynvr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4983643","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024575-241024112534372/datasets/export for details.
DOI: 10.15468/dl.pwbepu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4983642","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024574-241024112534372/datasets/export for details.
DOI: 10.15468/dl.3ga3q8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4982233","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024573-241024112534372/datasets/export for details.
DOI: 10.15468/dl.cqx7gw
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Brachytrupes megacephalus (Lefebvre, 1827)"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024576-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1113
title: Data to support study of Heteroleptic Iron(II) Complexes of Chiral 2,6-Bis(oxazolin-2-yl)-pyridine (PyBox) and 2,6-Bis(thiazolin-2-yl)pyridine Ligands ‒ the Interplay of Two Different Ligands on the Metal Ion Spin State

description: The spin-crossover properties of [Fe(LR)L][ClO4]2 (LR = a chiral PyBox {L1R} or ThioPyBox {L2R} derivative) show subtle differences depending on the tridentate ‘L’ co-ligand.
DOI: 10.15468/dl.xz4xja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4999814","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024579-241024112534372/datasets/export for details.
DOI: 10.15468/dl.satz2v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"4999811","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024578-241024112534372/datasets/export for details.
DOI: 10.15468/dl.pgkg64
title: Occurrence Download

description: A dataset containing 7312524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate reprojected, Country derived from coordinates, Continent derived from coordinates, Type status invalid, Occurrence status inferred from individual count, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Different owner institution, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 7312524 records from 5696 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024405-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59w8ts
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Colección Entomológica CDMB, Colección de mariposas del Museo de Entomología de la Universidad del Valle, Auckland Museum Entomology Collection, Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E), Colección Entomológica de Piedras Blancas, Museum of Comparative Zoology, Harvard University, Museo Entomológico Francisco Luis Gallego UNAL-MED, Entomology Collection at the Natural History Museum of Utah)",
 "HasCoordinate is true",
 "TaxonKey is Caligo oileus"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012529-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38cht3
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Colección Entomológica CDMB, Colección de mariposas del Museo de Entomología de la Universidad del Valle, Auckland Museum Entomology Collection, Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E), Colección Entomológica de Piedras Blancas, Museum of Comparative Zoology, Harvard University, Museo Entomológico Francisco Luis Gallego UNAL-MED, Entomology Collection at the Natural History Museum of Utah)",
 "HasCoordinate is true",
 "TaxonKey is Caligo oileus"
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012530-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmcdzy
title: Occurrence Download

description: A dataset containing 3541 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LISU Lichen collection"
 ]
}

 The dataset includes 3541 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012531-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj54xh
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agastache rugosa",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 115 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012533-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbm8nt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agastache rugosa",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012534-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.