cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25623172
title: The concentration of potentially toxic elements (PTEs) in honey: Global systematic review and meta-analysis and risk assessment

description: The papers were searched in databases including PubMed, Scopus, Web of science, Embase, Science Direct until 21 September 2023 and meta-analysis of concentration of PTEs in honey was performed using random effects model based on country subgroups. The non-carcinogenic risk and carcinogenic risk were calculated by Target Hazard Quotient (THQ) and Cancer Risk (CR), respectively. The sort of PTEs in honey based on pooled concentration was Cu (1.10E + 02 µg/kg) &gt; Ni (1.80E + 01 µg/kg) &gt; Pb (2.60E + 00 µg/kg) &gt; Hg (1.50E + 00 µg/kg) &gt; Cd (5.10E–01 µg/kg) &gt; As (4.80E–01 µg/kg). The concentration of PTEs in the countries of Ethiopia (As), Jordan (Cd and Pb), Thailand (Ni), Brazil (Cu and MeHg) was observed to be higher than other countries. The non-carcinogenic risk was less than 1, hence, the consumption of honey does not have non-carcinogenic risk. Except children in Nigeria, CR due to iAs in honey was acceptable for the both adults and children in the other countries, Therefore, the consumption of honey does not have carcinogenic risk.
DOI: 10.6084/m9.figshare.25623172.v1
title: The concentration of potentially toxic elements (PTEs) in honey: Global systematic review and meta-analysis and risk assessment

description: The papers were searched in databases including PubMed, Scopus, Web of science, Embase, Science Direct until 21 September 2023 and meta-analysis of concentration of PTEs in honey was performed using random effects model based on country subgroups. The non-carcinogenic risk and carcinogenic risk were calculated by Target Hazard Quotient (THQ) and Cancer Risk (CR), respectively. The sort of PTEs in honey based on pooled concentration was Cu (1.10E + 02 µg/kg) &gt; Ni (1.80E + 01 µg/kg) &gt; Pb (2.60E + 00 µg/kg) &gt; Hg (1.50E + 00 µg/kg) &gt; Cd (5.10E–01 µg/kg) &gt; As (4.80E–01 µg/kg). The concentration of PTEs in the countries of Ethiopia (As), Jordan (Cd and Pb), Thailand (Ni), Brazil (Cu and MeHg) was observed to be higher than other countries. The non-carcinogenic risk was less than 1, hence, the consumption of honey does not have non-carcinogenic risk. Except children in Nigeria, CR due to iAs in honey was acceptable for the both adults and children in the other countries, Therefore, the consumption of honey does not have carcinogenic risk.
DOI: 10.6084/m9.figshare.26022346
title: A bidirectional Mendelian randomization analysis between COVID-19 and cardiac arrest

description: Epidemiological studies link COVID-19 to increased cardiac arrest (CA) risk, but causality remains unclear due to potential confounding factors in observational studies . We conducted a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data, employing COVID-19-associated single nucleotide polymorphisms (SNPs) with significance values smaller than 5 × 10⁻⁸. We calculated inverse-variance weighted (IVW) MR estimates and performed sensitivity analyses using MR methods robust to horizontal pleiotropy. Additionally, a reverse MR analysis was conducted using CA-associated SNPs with significance values smaller than 1 × 10⁻⁵. Results indicated that infected COVID-19 (OR = 1.12, 95% CI = 0.47–2.67, <i>p</i> = 0.79), hospitalized COVID-19 (OR = 1.02, 95% CI = 0.70–1.49, <i>p</i> = 0.920), and severe respiratory COVID-19 (OR = 0.99, 95% CI = 0.81–1.21, <i>p</i> = 0.945) did not causally influence CA risk. Reverse MR analysis also did not support a causal effect of CA on COVID-19. Thus, associations in observational studies may stem from shared biological factors or environmental confounding.
DOI: 10.6084/m9.figshare.26022346.v1
title: A bidirectional Mendelian randomization analysis between COVID-19 and cardiac arrest

description: Epidemiological studies link COVID-19 to increased cardiac arrest (CA) risk, but causality remains unclear due to potential confounding factors in observational studies . We conducted a Mendelian randomization (MR) analysis using genome-wide association study (GWAS) data, employing COVID-19-associated single nucleotide polymorphisms (SNPs) with significance values smaller than 5 × 10⁻⁸. We calculated inverse-variance weighted (IVW) MR estimates and performed sensitivity analyses using MR methods robust to horizontal pleiotropy. Additionally, a reverse MR analysis was conducted using CA-associated SNPs with significance values smaller than 1 × 10⁻⁵. Results indicated that infected COVID-19 (OR = 1.12, 95% CI = 0.47–2.67, <i>p</i> = 0.79), hospitalized COVID-19 (OR = 1.02, 95% CI = 0.70–1.49, <i>p</i> = 0.920), and severe respiratory COVID-19 (OR = 0.99, 95% CI = 0.81–1.21, <i>p</i> = 0.945) did not causally influence CA risk. Reverse MR analysis also did not support a causal effect of CA on COVID-19. Thus, associations in observational studies may stem from shared biological factors or environmental confounding.
DOI: 10.15468/dl.3qsu6p
title: Occurrence Download

description: A dataset containing 103201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gymnorhinus cyanocephalus Wied-Neuwied, 1841"
 ]
}

 The dataset includes 103201 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000367-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud2crs
title: Occurrence Download

description: A dataset containing 59353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina nigrithorax Buysson, 1905"
 ]
}

 The dataset includes 59353 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000368-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puwgps
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "RecordedBy" : [
 "is one of (R.E. Schultes, R.E. Schultes & I. Cabrera, R.E. Schultes & M. Villareal, R.E. Schultes & M. Villarreal, R.E. Schultes & al., R.E. Schultes & B.P. Reko, R.E. Schultes & F. Lopez, R.E. Schultes & F. LÃ³pez, R.E. Schultes & F. López, R.E. Schultes & Fr. López, R.E. Schultes & G.A. Black, R.E. Schultes & I. Cabrera, R.E. Schultes & Isidoro Cabrera, R.E. Schultes & J. Cabrera, R.E. Schultes & J.Cabrera, R.E. Schultes & J.M. Pires, R.E. Schultes & M. Villarreal, R.E. Schultes & O. Tovar, R.E. Schultes & P. Bell, R.E. Schultes & V. Rodrigues, R.E. Schultes, C.E. Smith, R.E. Schultes, I. Cabrera, R.E. Schultes, I. Cabrera & P. Bell, R.E. Schultes, Isidoro Cabrera, R.E. Schultes, R.E.D. Baker, Isidoro Cabrera, R.E. Schultes; B.P. Reko, R.E. Schultes; C. Earle Smith, R.E. Schultes; C.E. Smith, R.E. Schultes; F. Lopes, R.E. Schultes; F. Lopez, R.E. Schultes; I. Cabrera, R.E. Schultes; J.M. Pires, R.E. Schultes; P. Bell, R.E. Schultes;,E. Cordeiro,Schultes, E. Cordeiro, R.E. Schultes;,F. Lopez,Schultes, F. Lopez, R.E. Schultes;,F. Lopéz,Schultes, F. Lopéz, R.E. Schultes;,F. López,Schultes, F. López, R.E. Schultes;,G.A. Black,Schultes, G.A. Black, R.E. Schultes;,I. Cabrea,Schultes, I. Cabrea, R.E. Schultes;,I. Cabrera,R.E.D. Baker,Schultes, I, R.E. Schultes;,I. Cabrera,Schultes, I. Cabrera, R.E. Schultes;,Schultes, R.E. Schultes;A. Silva, R.E. Schultes;E. Cordeiro, R.E. Schultes;F. Lopez, R.E. Schultes;F. Lopéz, R.E. Schultes;F. Lópes, R.E. Schultes;F. López, R.E. Schultes;F. López, J. Murça-Pires, R.E. Schultes;F. Lópz)"
 ]
}

 The dataset includes 654 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3m5bpd
title: Occurrence Download

description: A dataset containing 654 species occurrences available in GBIF matching the query:
{
 "RecordedBy" : [
 "is one of (R.E. Schultes, R.E. Schultes & I. Cabrera, R.E. Schultes & M. Villareal, R.E. Schultes & M. Villarreal, R.E. Schultes & al., R.E. Schultes & B.P. Reko, R.E. Schultes & F. Lopez, R.E. Schultes & F. LÃ³pez, R.E. Schultes & F. López, R.E. Schultes & Fr. López, R.E. Schultes & G.A. Black, R.E. Schultes & I. Cabrera, R.E. Schultes & Isidoro Cabrera, R.E. Schultes & J. Cabrera, R.E. Schultes & J.Cabrera, R.E. Schultes & J.M. Pires, R.E. Schultes & M. Villarreal, R.E. Schultes & O. Tovar, R.E. Schultes & P. Bell, R.E. Schultes & V. Rodrigues, R.E. Schultes, C.E. Smith, R.E. Schultes, I. Cabrera, R.E. Schultes, I. Cabrera & P. Bell, R.E. Schultes, Isidoro Cabrera, R.E. Schultes, R.E.D. Baker, Isidoro Cabrera, R.E. Schultes; B.P. Reko, R.E. Schultes; C. Earle Smith, R.E. Schultes; C.E. Smith, R.E. Schultes; F. Lopes, R.E. Schultes; F. Lopez, R.E. Schultes; I. Cabrera, R.E. Schultes; J.M. Pires, R.E. Schultes; P. Bell, R.E. Schultes;,E. Cordeiro,Schultes, E. Cordeiro, R.E. Schultes;,F. Lopez,Schultes, F. Lopez, R.E. Schultes;,F. Lopéz,Schultes, F. Lopéz, R.E. Schultes;,F. López,Schultes, F. López, R.E. Schultes;,G.A. Black,Schultes, G.A. Black, R.E. Schultes;,I. Cabrea,Schultes, I. Cabrea, R.E. Schultes;,I. Cabrera,R.E.D. Baker,Schultes, I, R.E. Schultes;,I. Cabrera,Schultes, I. Cabrera, R.E. Schultes;,Schultes, R.E. Schultes;A. Silva, R.E. Schultes;E. Cordeiro, R.E. Schultes;F. Lopez, R.E. Schultes;F. Lopéz, R.E. Schultes;F. Lópes, R.E. Schultes;F. López, R.E. Schultes;F. López, J. Murça-Pires, R.E. Schultes;F. Lópz)"
 ]
}

 The dataset includes 654 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000370-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yk9xz
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.86528 43.58765,3.86935 43.58765,3.86935 43.59004,3.86528 43.59004,3.86528 43.58765))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 39 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000372-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chs7ez
title: Occurrence Download

description: A dataset containing 7981 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Ambystoma laterale Hallowell, 1856"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2023",
 "DecimalLatitude is greater than or equal to 21.378970076956225",
 "DecimalLatitude is less than or equal to 56.572699215132005",
 "DecimalLongitude is greater than or equal to -97.47691060329497",
 "DecimalLongitude is less than or equal to -51.73636965516586",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7981 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000373-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxuj75
title: Occurrence Download

description: A dataset containing 6207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 6207 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000371-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14888046
title: Microdatos Aprender (2017, 2019) y Relevamiento Anual (2017, 2018, 2019). Ministerio de Educación de la Nación Argentina

description: Respaldo de microdatos de operativos Aprender (2017 y 2019) y Relevamiento Anual (2017, 2018, 2019) publicados originalmente en el portal del Ministerio de Educación de la Nación Argentina (actualmente dadas de baja). Estos datos son utilizados como datos para mi tesis de doctorado y como tal contienen sólo algunas de las bases publicadas originalmente por el Ministerio de Educación.

Se detallan a continuación las bases incluidas dentro del archivo:



"APRENDER2017_BU_Estudiantes-secundaria-5-6-año_censo-L+M": Operativo Aprender año 2017. Base usuarios con datos de estudiantes de secundaria (5to/6to año);

"APRENDER2019_BU_Estudiantes-secundaria-5-6-año_censo-L+M": Operativo Aprender año 2019. Base usuarios con datos de estudiantes de secundaria (5to/6to año)

"RA2017_BU2_Matricula": Relevamiento Anual año 2017. Base usuarios de matrícula.

"RA2018_BU2_Matricula": Relevamiento Anual año 2018. Base usuarios de matrícula.

"RA2019_BU2_Matricula": Relevamiento Anual año 2019. Base usuarios de matrícula.


La presente publicación de datos busca permitir la reproductibildad de mi trabajo de tesis.
DOI: 10.5281/zenodo.14888047
title: Microdatos Aprender (2017, 2019) y Relevamiento Anual (2017, 2018, 2019). Ministerio de Educación de la Nación Argentina

description: Respaldo de microdatos de operativos Aprender (2017 y 2019) y Relevamiento Anual (2017, 2018, 2019) publicados originalmente en el portal del Ministerio de Educación de la Nación Argentina (actualmente dadas de baja). Estos datos son utilizados como datos para mi tesis de doctorado y como tal contienen sólo algunas de las bases publicadas originalmente por el Ministerio de Educación.

Se detallan a continuación las bases incluidas dentro del archivo:



"APRENDER2017_BU_Estudiantes-secundaria-5-6-año_censo-L+M": Operativo Aprender año 2017. Base usuarios con datos de estudiantes de secundaria (5to/6to año);

"APRENDER2019_BU_Estudiantes-secundaria-5-6-año_censo-L+M": Operativo Aprender año 2019. Base usuarios con datos de estudiantes de secundaria (5to/6to año)

"RA2017_BU2_Matricula": Relevamiento Anual año 2017. Base usuarios de matrícula.

"RA2018_BU2_Matricula": Relevamiento Anual año 2018. Base usuarios de matrícula.

"RA2019_BU2_Matricula": Relevamiento Anual año 2019. Base usuarios de matrícula.


La presente publicación de datos busca permitir la reproductibildad de mi trabajo de tesis.
DOI: 10.34740/kaggle/dsv/10784842
title: Coursera_Learning_Feedback_Multiple_Domain_7K
DOI: 10.6084/m9.figshare.26953714
title: The effects of in-phase bilateral exercise in people with progressive Multiple Sclerosis

description: Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system. MS, typical presents with progression of clinical symptoms which mainly include motor and cognitive impairment, as well as reduction of patients` quality of life. Exercise is an effective approach in the management of the symptoms in people with progressive MS. Previous studies in healthy and in people with MS, reported a close relationship between cognitive functions and upper limb performance. Since patients with progressive MS facing difficulties with performing complex exercises due to cognitive dysfunctions and given the close relationship between cognitive functions and manual dexterity, a reasonable question arises whether a type of upper limbs exercises with less cognitive demands will improve the information processing speed in people with progressive MS. The aim of the current study is to investigate the effects of in-phase bilateral upper limbs exercises on the information processing speed, in patients with progressive MS, given that in-phase bilateral movements needs less attentional load than the other types of bilateral coordination. The intervention protocol lasted for 12 consecutive weeks (30-60 minutes /session x 3 sessions/week) and included in-phase bilateral exercises of the upper limbs, adapted to different sports activities and to functional training. Results from the statistical analysis indicated improvement of the experimental group compared to the control group, on the information processing speed alongside with improvement of motor skills.
DOI: 10.25810/fx6e-r462.70
title: European Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - January 2025

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.48phdf
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis juliflora (Sw.) DC.",
 "Year 2014-2024"
 ]
}

 The dataset includes 497 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000375-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13952929
title: Coughlin_Borsos_et_al

description: Open access data relating to https://www.biorxiv.org/content/10.1101/2023.12.23.573214v1.
DOI: 10.5281/zenodo.13952930
title: Coughlin_Borsos_et_al

description: Open access data relating to https://www.biorxiv.org/content/10.1101/2023.12.23.573214v1.
DOI: 10.5281/zenodo.14238262
title: Coughlin_Borsos_et_al

description: Open access data relating to https://www.biorxiv.org/content/10.1101/2023.12.23.573214v1.
DOI: 10.5281/zenodo.14873447
title: Coughlin_Borsos_et_al

description: Open access data relating to https://www.biorxiv.org/content/10.1101/2023.12.23.573214v1.
DOI: 10.15468/dl.2kced6
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycium ruthenicum Murray"
 ]
}

 The dataset includes 146 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000376-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25422/azu.data.28347377
title: Data for Cardenas et al., 2025 "Manipulation of Interoceptive Signaling Biases Decision Making in Rhesus Macaques"

description: All data and code associated with the manuscript titled "Manipulation of Interoceptive Signaling Biases Decision Making in Rhesus Macaques" by Cardenas<i> et al</i>.<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.28347377.v1
title: Data for Cardenas et al., 2025 "Manipulation of Interoceptive Signaling Biases Decision Making in Rhesus Macaques"

description: All data and code associated with the manuscript titled "Manipulation of Interoceptive Signaling Biases Decision Making in Rhesus Macaques" by Cardenas<i> et al</i>.<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.4aku8h
title: Occurrence Download

description: A dataset containing 136649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.24665 42.33875,1.89134 42.33875,1.89134 42.72114,1.24665 42.72114,1.24665 42.33875))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "Year 2000-2025"
 ]
}

 The dataset includes 136649 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000360-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjn9fw
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (2412cc1f-760b-4f0c-9bfd-bd88664c61c4, 9ae75ccd-0ee8-4dd4-a412-3bbcc3ed4b26, fee3882f-5360-4f01-a1ca-767c48fa629c, a3c228d0-3110-11db-abb8-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, ef807e08-c954-487f-9e70-3cc75f173812, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 715f7f6c-ddcd-4d41-a836-e89e4d868391, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862)",
 "TaxonKey is Arachis hypogaea L."
 ]
}

 The dataset includes 756 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4shz3v
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis juliflora (Sw.) DC.",
 "Year 2014-2024"
 ]
}

 The dataset includes 266 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000380-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.veyuev
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Prosopis juliflora (Sw.) DC.",
 "Year 2014-2024"
 ]
}

 The dataset includes 497 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000379-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srt6d6
title: Occurrence Download

description: A dataset containing 1312671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "Geometry POLYGON((22.35746 -34.24301,25.00851 -34.24301,25.00851 -33.71558,22.35746 -33.71558,22.35746 -34.24301))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1312671 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000365-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25tdx3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon silveirae Moldenke"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030053-241107131044228/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.27895077
title: Intestine_Han_2020

description: Intestine_Han_2020 dataset used in scMulan's experiments.
DOI: 10.6084/m9.figshare.27895077.v1
title: Intestine_Han_2020

description: Intestine_Han_2020 dataset used in scMulan's experiments.