cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/jmksaw/koqudv
title: ensemble_delta_ref_mono_vanilla_Distance.Clustering_div+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/vktrvj
title: ensemble_quality_Distance.Clustering_div+RR N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/rviy9q
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+RR N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ambnb1
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH Sink N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/yox2b2
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+RR N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0ig6fm
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+RR N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/aiqlgh
title: assignment_Distance.Clustering_div+RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/syb27c
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_div+Sink N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ijn8oc
title: ensemble_quality_Distance.Boundary_max+Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/iyjasq
title: ensemble_delta_ref_mono_vanilla_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/tepdb8
title: delta_self_ensemble_Distance.Clustering_div+Sink N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/7chcqi
title: ensemble_quality_Distance.Clustering_div+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2lkbei
title: ensemble_delta_ref_mono_vanilla_Group.Auto+Neigh.kDistance_l2_k50_div+RR N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/enls9n
title: delta_self_ensemble_GROUND_TRUTH Sink N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/zyxyfv
title: ensemble_delta_ref_mono_vanilla_Group.Auto+Neigh.kDistance_l2_k50_div+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/srhogu
title: ensemble_delta_ref_mono_oracle_Distance.Boundary_max+Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/pj3yre
title: assignment_Distance.Boundary_max+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/g4dbit
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/smjqcd
title: assignment_Distance.Clustering_div+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/eyiidm
title: delta_self_ensemble_Group.Auto+Neigh.kDistance_l2_k50_div+RR N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/vmuzzx
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ajwsiz
title: ensemble_delta_ref_mono_oracle_Distance.Boundary_max+RR N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/oadnae
title: delta_self_ensemble_GROUND_TRUTH RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/wxi0hg
title: delta_self_ensemble_Distance.Boundary_max+Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/3edxvj
title: ensemble_delta_ref_mono_vanilla_Distance.Clustering_div+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nzkoa4
title: ensemble_quality_TSUSC N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/1jnk2i
title: delta_self_ensemble_Distance.Boundary_max+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/lquptw
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+RR N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/pmyydx
title: ensemble_delta_ref_mono_vanilla_Distance.Clustering_div+Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/jm1zy5
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/waqaxd
title: assignment_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/mhzg58
title: assignment_GROUND_TRUTH RR N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/arj6wf
title: assignment_GROUND_TRUTH Sink N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nfvrxs
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/cgufg9
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+Sink N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/rtxmug
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_div+RR N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ge7mxk
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/wmcbdn
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH Sink N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/mojgrt
title: ensemble_quality_Distance.Clustering_div+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/7pt7en
title: ensemble_delta_ref_mono_oracle_Distance.Boundary_max+RR N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/9h9xn3
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH Sink N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/o8umsz
title: ensemble_delta_ref_mono_vanilla_TSUSC N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/z4riwy
title: delta_self_ensemble_TSUSC N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xponot
title: delta_self_ensemble_Distance.Boundary_max+RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/mk4tjm
title: assignment_GROUND_TRUTH Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/eoklk3
title: delta_self_ensemble_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/rtvams
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_div+Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0ppgd0
title: ensemble_delta_ref_mono_vanilla_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/1zpatq
title: delta_self_ensemble_Distance.Clustering_div+Sink N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/v4yi88
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/rrzoya
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/hq0bj5
title: ensemble_quality_TSUSC N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/skyzz6
title: delta_self_ensemble_Distance.Boundary_max+RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/rdlqyc
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ykqfqn
title: delta_self_ensemble_GROUND_TRUTH Sink N09_test_set_clean.tab
DOI: 10.15468/bysa73
title: Happywhale - Irrawaddy dolphin in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/cmhdtg
title: delta_self_ensemble_Group.Auto+Neigh.kDistance_l2_k50_div+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/inhbc6
title: ensemble_delta_ref_mono_oracle_Distance.Clustering_div+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/33liev
title: ensemble_quality_Distance.Boundary_max+Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/tmfnnp
title: ensemble_delta_ref_mono_vanilla_GROUND_TRUTH Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xj5dag
title: ensemble_delta_ref_mono_vanilla_Distance.Clustering_div+Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/sqlmuq
title: assignment_Distance.Boundary_max+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/tarlur
title: ensemble_delta_ref_mono_oracle_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/3b4cl7
title: ensemble_delta_ref_mono_oracle_TSUSC N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nbbo9p
title: ensemble_quality_Distance.Clustering_div+Sink N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/9lq1gz
title: assignment_GROUND_TRUTH Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nivpji
title: ensemble_delta_ref_mono_oracle_Distance.Boundary_max+RR N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/heu6su
title: ensemble_delta_ref_mono_oracle_Group.Auto+Neigh.kDistance_l2_k50_div+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/zu2kin
title: ensemble_delta_ref_mono_oracle_TSUSC N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/05ktii
title: ensemble_quality_GROUND_TRUTH RR N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xlksfk
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/nokmr1
title: ensemble_delta_ref_mono_vanilla_Distance.Boundary_max+Sink N15_test_set_clean.tab
DOI: 10.15468/dl.apar36
title: Occurrence Download

description: A dataset containing 23388255 species occurrences available in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 {
 "and" : [
 "Country is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 "HasGeospatialIssue is false"
 ]
 },
 "Geometry POLYGON((-74 -60, -25 -60, -25 -90, -74 -90, -74 -60))"
 ]
}

 The dataset includes 23388255 records from 3589 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039995-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14715682
title: Ecological Restoration
DOI: 10.7274/28855721
title: The Ecological Time Machine: Towards an Understanding of Vegetation-Climate Relationships Across Scales

description: Anthropogenic climate change is threatening terrestrial ecosystems globally, with consequences for biodiversity, the provisioning of ecosystem services, and global biogeochemical cycling. Understanding the relationship between vegetation and climate is imperative for anticipating and mitigating the potential effects of global change on vegetation. Because of the long lifespans and slow demography of terrestrial vegetation, the climate-vegetation relationship must be examined over time scales relevant to long-lived vegetation. Additionally, accessible and equitable education is essential for the long-term sustainability of ecological research. In this dissertation, I investigate the climate-vegetation relationship across observational and long-term (centennial) time scales. I use a variety of methods, primarily mechanistic and statistical modeling, and data sources, including vegetation trait observations, tree ring chronologies, historical and contemporary vegetation inventories, and paleoecological reconstructions. In my dissertation, I also highlight opportunities for improving undergraduate education in ecology.

In Chapter 2, I conduct a meta-analysis of functional traits in trees and lianas, two woody vegetation life forms common in the global tropics. I find that differences in hydraulic functional traits between life forms lead to different vulnerabilities to climate change, and conclude that lianas are more susceptible to reaching a hydraulic threshold for viability by 2100. In Chapter 3, I investigate the availability and accessibility of ecological forecasting education. I find that there are persistent gaps in the topics taught at the undergraduate level and in where ecological forecasting courses are taught. This work serves as a baseline from which the ecological forecasting community can build towards more equitable and accessible educational opportunities. In Chapter 4, I quantify the vegetation-climate relationship over the last 2,000 years, to understand the extent to which vegetation was in equilibrium with climate. I find that while vegetation often was in equilibrium with climate, that were instances of abrupt vegetation change even when climate was stable. In Chapter 5, I use complementary historical and contemporary vegetation surveys to show the consequences of assuming that observations from one time period capture the full vegetation-environment relationship. I find that species distribution models fit to historical vegetation records are unable to predict the widespread conversion of savanna to forest between time periods. Finally, in Chapter 6, I use a forest ecosystem model and 50 years of aboveground biomass reconstructions as a case study for how model-data fusion can be used for ecological hypothesis testing. Specifically, I find that the strong climatic limitations to tree growth in the process model are inconsistent with our observations, highlighting an opportunity to update ecological hypotheses about climate-tree growth relationships.
DOI: 10.7274/28855721.v1
title: The Ecological Time Machine: Towards an Understanding of Vegetation-Climate Relationships Across Scales

description: Anthropogenic climate change is threatening terrestrial ecosystems globally, with consequences for biodiversity, the provisioning of ecosystem services, and global biogeochemical cycling. Understanding the relationship between vegetation and climate is imperative for anticipating and mitigating the potential effects of global change on vegetation. Because of the long lifespans and slow demography of terrestrial vegetation, the climate-vegetation relationship must be examined over time scales relevant to long-lived vegetation. Additionally, accessible and equitable education is essential for the long-term sustainability of ecological research. In this dissertation, I investigate the climate-vegetation relationship across observational and long-term (centennial) time scales. I use a variety of methods, primarily mechanistic and statistical modeling, and data sources, including vegetation trait observations, tree ring chronologies, historical and contemporary vegetation inventories, and paleoecological reconstructions. In my dissertation, I also highlight opportunities for improving undergraduate education in ecology.

In Chapter 2, I conduct a meta-analysis of functional traits in trees and lianas, two woody vegetation life forms common in the global tropics. I find that differences in hydraulic functional traits between life forms lead to different vulnerabilities to climate change, and conclude that lianas are more susceptible to reaching a hydraulic threshold for viability by 2100. In Chapter 3, I investigate the availability and accessibility of ecological forecasting education. I find that there are persistent gaps in the topics taught at the undergraduate level and in where ecological forecasting courses are taught. This work serves as a baseline from which the ecological forecasting community can build towards more equitable and accessible educational opportunities. In Chapter 4, I quantify the vegetation-climate relationship over the last 2,000 years, to understand the extent to which vegetation was in equilibrium with climate. I find that while vegetation often was in equilibrium with climate, that were instances of abrupt vegetation change even when climate was stable. In Chapter 5, I use complementary historical and contemporary vegetation surveys to show the consequences of assuming that observations from one time period capture the full vegetation-environment relationship. I find that species distribution models fit to historical vegetation records are unable to predict the widespread conversion of savanna to forest between time periods. Finally, in Chapter 6, I use a forest ecosystem model and 50 years of aboveground biomass reconstructions as a case study for how model-data fusion can be used for ecological hypothesis testing. Specifically, I find that the strong climatic limitations to tree growth in the process model are inconsistent with our observations, highlighting an opportunity to update ecological hypotheses about climate-tree growth relationships.
DOI: 10.15468/dl.tyybxy
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040174-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkkv2t
title: Occurrence Download

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

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040175-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5b36wa
title: Occurrence Download

description: A dataset containing 105580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.2.60_1, DEU.2.54_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 105580 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040153-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ym4554
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040177-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phatwt
title: Occurrence Download

description: A dataset containing 3341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3341 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040179-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s78p8a
title: Occurrence Download

description: A dataset containing 1603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1603 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040178-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23vk7c
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 122 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040181-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvux3y
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 174 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040182-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vtcgu
title: Occurrence Download

description: A dataset containing 16528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon dubius",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16528 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040183-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm5png
title: Occurrence Download

description: A dataset containing 7800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Martes americana",
 "Year 2000-2025"
 ]
}

 The dataset includes 7800 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040184-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12853913
title: Jerome Powell Press Release Q&A
DOI: 10.5281/zenodo.16937232
title: КИБЕР ХАВФСИЗЛИК ВА КЕЛАЖАК АВЛОД

description: Маълумки бугунги кунда кибер хавфсизлик ва болалар мавзусининг долзарблиги шундаки, болалар интернетдан фойдаланишни жуда эрта бошлашмоқда. Уларнинг онлайн фаолияти хавфсизлигини таъминлаш муаммоси бугунги кунда жуда муҳим, сабаби улар бизнинг келажак авлодимиз, эртанги кунимиз.
DOI: 10.5281/zenodo.16937233
title: КИБЕР ХАВФСИЗЛИК ВА КЕЛАЖАК АВЛОД

description: Маълумки бугунги кунда кибер хавфсизлик ва болалар мавзусининг долзарблиги шундаки, болалар интернетдан фойдаланишни жуда эрта бошлашмоқда. Уларнинг онлайн фаолияти хавфсизлигини таъминлаш муаммоси бугунги кунда жуда муҳим, сабаби улар бизнинг келажак авлодимиз, эртанги кунимиз.
DOI: 10.15468/dl.v238tj
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Hibiscus rosa-sinensis"
 ]
}

 The dataset includes 453 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040185-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paq88z
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon porrifolius",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040186-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hdyg9j
title: Occurrence Download

description: A dataset containing 2341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon porrifolius",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2341 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040187-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9spek3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon porrifolius",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040188-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.