cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ptdg20
title: Rotation Field of the Cosmic Microwave Background Joint Validation v1.42
title: Validation of Directional Rotation Signal
title: CMB Rotation Field Validation v1.42

description: Rotation Field Joint Validation v1.42

This dataset analyzes directional rotation patterns in the Cosmic Microwave Background using Planck 2018 data. Version 1.42 applies a dependence aware joint significance test to determine whether the observed anisotropy could arise from noise. The results show that the anisotropic rotation signal is real and stable across independent tests.

Condit, Amy. 2025. Rotation Field Joint Validation v1.42. Zenodo. DOI 10.5281/zenodo.17553829.

Files:
_replication_bundle_v142_20251107_173949.zip
joint_result_20251107_171919.json
description: 22 Blue Project
description: Python (NumPy, SciPy, Healpy, Astropy, Matplotlib), 3.12
description: Not applicable. All input data originate from modern cosmological observations (Planck 2018 polarization maps, publicly available via ESA archives).
description: This dataset mirrors the Zenodo v1.4 and v1.41 releases of the 22 Blue rotation-field analysis. Those Zenodo records provide detailed reproducibility bundles, while this Harvard Dataverse entry serves as the long-term institutional archive.
description: Based on publicly released Planck 2018 (HFI PR3 R3.01) polarization maps and ancillary products, including SMICA and NILC component-separated Q/U data at 100–217 GHz. Data obtained from the ESA Planck Legacy Archive (PLA/IRSA). Derived secondary data products (αₗₘ maps, α–α spectra, validation outputs) were generated computationally using Python (NumPy, SciPy, Healpy, Astropy).
description: The Planck 2018 polarization maps and documentation are openly available through the ESA Planck Legacy Archive (https://pla.esac.esa.int). The full data description and calibration methodology are published in Planck Collaboration (2020), A&A 641, A1 (DOI 10.1051/0004-6361/201833910). All derived analysis files and reproducibility scripts for this dataset are mirrored in Zenodo (DOIs 10.5281/zenodo.17500791 and 10.5281/zenodo.17508908).
DOI: 10.15468/dl.gwhrtz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psilocybe heliconiae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003713-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17684096
title: Reaction of a Hydrated Electron and a Hydronium: Dataset, Trained Model, and Configurations.

description: Comment: based on PBEh(0.4)+rVV10(b=5.3) density functional.
DOI: 10.5281/zenodo.17684097
title: Reaction of a Hydrated Electron and a Hydronium: Dataset, Trained Model, and Configurations.

description: Comment: based on PBEh(0.4)+rVV10(b=5.3) density functional.
DOI: 10.15468/dl.xrgj5n
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-89.43593 31.62029,-84.73301 31.62029,-84.73301 35.27611,-89.43593 35.27611,-89.43593 31.62029))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Porifera"
 ]
}

 The dataset's 7 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17684491
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.

This dataset contains all language data (in 2024, 26 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.15468/dl.39c4qd
title: Occurrence Download

description: A dataset containing 1109394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1109394 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003710-251120083545085/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/13833031
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/13833039
title: Berita UNDIP
DOI: 10.15468/dl.74gwcm
title: Occurrence Download

description: A dataset containing 32458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 32458 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003715-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15584941
title: Automatic seismic event locations in Germany using TieBeNN

description: 🗂️ Description

 

This repository contains automatic absolute locations of local seismic events in Germany and surrounding regions, computed using the automatic location system TieBeNN (TiefenBestimmung mittels Neuronaler Netze).

 

Event date times and epicenter coordinates were taken from manual catalogs to test TieBeNN. All events have:





 A minimum local magnitude of 1.0







A tectonic origin



The following event catalogs are included:





automatic_catalog_2021-2023_tiebenn.csv – 594 local events from the BGR catalog (2021–2023)  

automatic_catalog_2024_BENS.csv – 55 events from the BENS catalog (2024)

automatic_catalog_2024_EDSW.csv – 50 events from the EDSW catalog (2024)

automatic_catalog_2024_SED.csv – 50 events from the SED catalog (2024)

automatic_catalog_2024_TSN_EdB.csv – 50 events from the TSN catalog (2024), located using BGR’s 1D velocity model 

automatic_catalog_2024_TSN_WB2012.csv – 50 events from the TSN catalog (2024), located using the WB2012 1D velocity model (Růžek & Horálek, 2013)



🔹 Abbreviations:

BGR = Bundesanstalt für Geowissenschaften und Rohstoffe  

BENS = Erdbebenstation Bensberg  

SED = Schweizerischer Erdbebendienst  

EDSW = Erdbebendienst Suedwest  

TSN = Thüringer Seismologisches Netz  

 

📊 Catalog structure

 

Each CSV file contains:





Hypocenter coordinates and uncertainties







Eight normalized features used to compute the Location Quality Score (LQS)



 

These are the columns and their descriptions:

 

datetime: Event origin time

latitude / longitude (°): Epicenter coordinates

depth (km): Hypocentral depth

unc_x / unc_y / unc_z (km): location uncertainty in x, y, z directions

norm.det.cov: Normalized location covariance

norm.sta.den: Normalized station density

norm.azgap: Normalized azimuthal gap

norm.sec.azgap: Normalized secondary azimuthal gap

norm.aui: Normalized azimuthal uniformity index

norm.near.sta: Normalized nearest station distance

norm.rms: Normalized RMS of travel time residuals

norm.npicks: Normalized number of phase picks

LQS: Location Quality Score

 

This new version corrects the uncertainties retrieved from the NonLinLoc location file.

 

🤖 About TieBeNN

 

TieBeNN is a Python-based wrapper that integrates open-source, machine-learning tools for:





Phase picking







Denoising







Phase association



Probabilistic hypocenter estimation via NonLinLoc

 

🔗 Code: https://github.com/Cthuulhaa/tiebenn  

🔗 DOI: https://zenodo.org/records/15384316  

📘 Docs: https://tiebenn.readthedocs.io/en/latest

 

---

 

📄 Citation

 

A pre-print of the scientific paper describing TieBeNN is now available on EarthArXiv:

 

Ramos et al. (2025). A quasi-real-time system for automatic local event monitoring in Germany. EarthArXiv. (https://doi.org/10.31223/X5774H)
DOI: 10.5281/zenodo.17684466
title: Automatic seismic event locations in Germany using TieBeNN

description: 🗂️ Description

 

This repository contains automatic absolute locations of local seismic events in Germany and surrounding regions, computed using the automatic location system TieBeNN (TiefenBestimmung mittels Neuronaler Netze).

 

Event date times and epicenter coordinates were taken from manual catalogs to test TieBeNN. All events have:





 A minimum local magnitude of 1.0







A tectonic origin



The following event catalogs are included:





automatic_catalog_2021-2023_tiebenn.csv – 594 local events from the BGR catalog (2021–2023)  

automatic_catalog_2024_BENS.csv – 55 events from the BENS catalog (2024)

automatic_catalog_2024_EDSW.csv – 50 events from the EDSW catalog (2024)

automatic_catalog_2024_SED.csv – 50 events from the SED catalog (2024)

automatic_catalog_2024_TSN_EdB.csv – 50 events from the TSN catalog (2024), located using BGR’s 1D velocity model 

automatic_catalog_2024_TSN_WB2012.csv – 50 events from the TSN catalog (2024), located using the WB2012 1D velocity model (Růžek & Horálek, 2013)



🔹 Abbreviations:

BGR = Bundesanstalt für Geowissenschaften und Rohstoffe  

BENS = Erdbebenstation Bensberg  

SED = Schweizerischer Erdbebendienst  

EDSW = Erdbebendienst Suedwest  

TSN = Thüringer Seismologisches Netz  

 

📊 Catalog structure

 

Each CSV file contains:





Hypocenter coordinates and uncertainties







Eight normalized features used to compute the Location Quality Score (LQS)



 

These are the columns and their descriptions:

 

datetime: Event origin time

latitude / longitude (°): Epicenter coordinates

depth (km): Hypocentral depth

unc_x / unc_y / unc_z (km): location uncertainty in x, y, z directions

norm.det.cov: Normalized location covariance

norm.sta.den: Normalized station density

norm.azgap: Normalized azimuthal gap

norm.sec.azgap: Normalized secondary azimuthal gap

norm.aui: Normalized azimuthal uniformity index

norm.near.sta: Normalized nearest station distance

norm.rms: Normalized RMS of travel time residuals

norm.npicks: Normalized number of phase picks

LQS: Location Quality Score

 

This new version corrects the uncertainties retrieved from the NonLinLoc location file.

 

🤖 About TieBeNN

 

TieBeNN is a Python-based wrapper that integrates open-source, machine-learning tools for:





Phase picking







Denoising







Phase association



Probabilistic hypocenter estimation via NonLinLoc

 

🔗 Code: https://github.com/Cthuulhaa/tiebenn  

🔗 DOI: https://zenodo.org/records/15384316  

📘 Docs: https://tiebenn.readthedocs.io/en/latest

 

---

 

📄 Citation

 

A pre-print of the scientific paper describing TieBeNN is now available on EarthArXiv:

 

Ramos et al. (2025). A quasi-real-time system for automatic local event monitoring in Germany. EarthArXiv. (https://doi.org/10.31223/X5774H)
DOI: 10.34740/kaggle/dsv/13833076
title: Berita UNNES
DOI: 10.5281/zenodo.17622447
title: Industrial Machine Condition Monitoring Dataset
DOI: 10.5281/zenodo.17622448
title: Industrial Machine Condition Monitoring Dataset
DOI: 10.15468/dl.8nrctw
title: Occurrence Download

description: A dataset containing 354963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 354963 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003711-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbsghg
title: Occurrence Download

description: A dataset containing 5834398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-117 31,-101 31,-101 47,-117 47,-117 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 5834398 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003716-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17684557
title: Dados de Validação do Sistema Ludus: Relatórios de Frequência Escolar (Dados Fictícios)

description: Este conjunto de dados contém arquivos de exemplo gerados pelo sistema Ludus, desenvolvido como Trabalho de Conclusão de Curso (TCC) no curso de Ciência da Computação do Centro Universitário do Pará (CESUPA) em 2025. O objetivo destes arquivos é demonstrar a funcionalidade de exportação de relatórios de frequência escolar e a estrutura de dados utilizada pelo sistema em operação offline. Conteúdo do Dataset:

Frequência_alunos_jardim_1_2025.csv: Arquivo em formato aberto contendo a matriz de frequência mensal.

Frequência_alunos_jardim_1_2025.xlsx: Relatório formatado para uso administrativo.

Nota: Os nomes e dados pessoais presentes nestas planilhas são inteiramente fictícios, gerados aleatoriamente para fins de simulação e teste de software, não correspondendo a indivíduos reais.
DOI: 10.15468/dl.nmsf8g
title: Occurrence Download

description: A dataset listing the 3006488 species recorded in GBIF matching the query:
{
 "HasCoordinate" : [
 "is true"
 ]
}

 The dataset's 3006488 records were derived from 73354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003717-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkfgan
title: Occurrence Download

description: A dataset containing 3636 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diheteropogon Stapf"
 ]
}

 The dataset includes 3636 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001125-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbb46z
title: Occurrence Download

description: A dataset containing 6380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Uroderma bilobatum Peters, 1866"
 ]
}

 The dataset includes 6380 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011962-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxspzp
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-148.779 64.396,-146.665 64.396,-146.665 65.294,-148.779 65.294,-148.779 64.396))",
 "OccurrenceStatus is Present",
 "TaxonKey is Poaceae",
 "Year 1000-2025"
 ]
}

 The dataset includes 172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003602-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18331968
title: County Health Rankings & Roadmaps relational data annual release
DOI: 10.15468/dl.yr6nrz
title: Occurrence Download

description: A dataset containing 1889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is one of (Indonesia, Malaysia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongo pygmaeus"
 ]
}

 The dataset includes 1889 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003603-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18331971
title: County Health Rankings & Roadmaps relational data annual release
DOI: 10.15468/dl.b8jjt7
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rafflesia arnoldi"
 ]
}

 The dataset includes 68 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003606-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h8a9a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.959 3.213172, 99.888627 3.207603, 99.81999 3.191033, 99.754779 3.16387, 99.694603 3.126785, 99.64094299999999 3.08069, 99.59512100000001 3.026723, 99.55826500000001 2.966213, 99.531282 2.900651, 99.51483399999999 2.831651, 99.50932400000001 2.760915, 99.514886 2.690182, 99.53138199999999 2.621194, 99.558403 2.555651, 99.59528299999999 2.495164, 99.641113 2.441223, 99.69476400000001 2.395154, 99.75491700000001 2.358092, 99.82008999999999 2.330948, 99.88867999999999 2.314389, 99.959 2.308824, 100.02932 2.314389, 100.09791 2.330948, 100.163083 2.358092, 100.223236 2.395154, 100.276887 2.441223, 100.322717 2.495164, 100.359597 2.555651, 100.386618 2.621194, 100.403114 2.690182, 100.408676 2.760915, 100.403166 2.831651, 100.386718 2.900651, 100.359735 2.966213, 100.322879 3.026723, 100.277057 3.08069, 100.223397 3.126785, 100.163221 3.16387, 100.09801 3.191033, 100.029373 3.207603, 99.959 3.213172))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003607-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18331972
title: ellopostoma_megalomycter_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.18331973
title: ellopostoma_megalomycter_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.18331979
title: County Health Rankings & Roadmaps relational data annual release
DOI: 10.15468/dl.3eak4f
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Gambelia sila [GBIF Backbone Taxonomy])",
 "StateProvince is one of (California)"
 ]
 }
 ]
}

 The dataset includes 705 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003608-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18331986
title: County Health Rankings & Roadmaps relational data annual release
DOI: 10.15468/dl.2b6mxu
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((118.37 5.94614, 118.29936 5.940569, 118.230464 5.923994, 118.165011 5.896824, 118.104616 5.859729, 118.050768 5.813625, 118.004794 5.759648, 117.967824 5.699131, 117.940767 5.633564, 117.924286 5.564564, 117.918783 5.49383, 117.924391 5.423104, 117.940967 5.354127, 117.968099 5.288597, 118.005117 5.228126, 118.051108 5.174201, 118.10494 5.128149, 118.165286 5.091101, 118.230664 5.063967, 118.299465 5.047416, 118.37 5.041854, 118.440535 5.047416, 118.509336 5.063967, 118.574714 5.091101, 118.63506 5.128149, 118.688892 5.174201, 118.734883 5.228126, 118.771901 5.288597, 118.799033 5.354127, 118.815609 5.423104, 118.821217 5.49383, 118.815714 5.564564, 118.799233 5.633564, 118.772176 5.699131, 118.735206 5.759648, 118.689232 5.813625, 118.635384 5.859729, 118.574989 5.896824, 118.509536 5.923994, 118.44064 5.940569, 118.37 5.94614))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 552 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003611-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bbger
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Dolichotis patagonum"
 ]
}

 The dataset includes 112 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003612-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18331991
title: County Health Rankings & Roadmaps relational data annual release
DOI: 10.15468/dl.rp5ya3
title: Occurrence Download

description: A dataset listing the 3528 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is GTM.16_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 3528 records were derived from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003604-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.