cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jpxj5a
title: Occurrence Download

description: A dataset containing 1524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herpailurus yagouaroundi (É.Geoffroy Saint-Hilaire, 1803)",
 "Year 1962-2025"
 ]
}

 The dataset includes 1524 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070320-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/m0brrb/lijloe
title: Zahnow_et_al-data.tab

description: :unav
DOI: 10.25625/m0brrb
title: Data and metadata on cosmic spherules

description: The file includes isotope, chemical, and metadata to the analyzed cosmic spherules
DOI: 10.6084/m9.figshare.29420837
title: <b>The effect of agricultural management on seed rain and seed banks during regeneration in Brazil’s </b><b><i>Cerrado-Caatinga</i></b><b> ecotone</b>

description: <b>Appendix S1</b><b> – </b><b>Mean and standard deviation values for the number of seedlings in the seed bank in areas at different regeneration stages (10y MA, 25y MA and NMA) in the transition region between </b><b><i>Cerrado</i></b><b> and </b><b><i>Caatinga</i></b><b>, Corrente, Piauí.</b><b>Appendix S2</b><b> – </b><b>Mean and standard deviation values for the number of seeds contained in the seed rain in areas at different regeneration stages (10y MA, 25y MA and NMA) in the transition region between </b><b><i>Cerrado</i></b><b> and </b><b><i>Caatinga</i></b><b>, Corrente, Piauí.</b><b>Appendix S3</b><b> – </b><b>Results of G tests for species richness and abundance in seed rain and seed bank, considering different dispersal syndromes (zoochorous, anemochorous, and autochorous).</b><b>Appendix S4</b><b> – </b><b>Results of G tests for species richness and abundance in seed rain and seed bank, considering different growth habit (Tree, Shrub, Herb, Liana).</b>
DOI: 10.6084/m9.figshare.29420837.v1
title: <b>The effect of agricultural management on seed rain and seed banks during regeneration in Brazil’s </b><b><i>Cerrado-Caatinga</i></b><b> ecotone</b>

description: <b>Appendix S1</b><b> – </b><b>Mean and standard deviation values for the number of seedlings in the seed bank in areas at different regeneration stages (10y MA, 25y MA and NMA) in the transition region between </b><b><i>Cerrado</i></b><b> and </b><b><i>Caatinga</i></b><b>, Corrente, Piauí.</b><b>Appendix S2</b><b> – </b><b>Mean and standard deviation values for the number of seeds contained in the seed rain in areas at different regeneration stages (10y MA, 25y MA and NMA) in the transition region between </b><b><i>Cerrado</i></b><b> and </b><b><i>Caatinga</i></b><b>, Corrente, Piauí.</b><b>Appendix S3</b><b> – </b><b>Results of G tests for species richness and abundance in seed rain and seed bank, considering different dispersal syndromes (zoochorous, anemochorous, and autochorous).</b><b>Appendix S4</b><b> – </b><b>Results of G tests for species richness and abundance in seed rain and seed bank, considering different growth habit (Tree, Shrub, Herb, Liana).</b>
DOI: 10.34847/nkl.054a6l8r
title: 03_testo_agrinion_0004

description: 1.0
description: irregolare
description: normale
description: progressiva
description: 15.0
description: Source: Socal, Michela
description: Temporal: -199.0
description: Temporal: epoca ellenistica
description: Temporal: -100.0
description: Temporal: II secolo a.C.
description: modified: 06/03/2018
description: temporal: -199.0
description: temporal: epoca ellenistica
description: temporal: -100.0
description: temporal: II secolo a.C.
DOI: 10.15468/dl.cn4gzg
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sparisoma rocha Pinheiro, Gasparini & Sazima, 2010"
 ]
}

 The dataset includes 128 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.676xgq
title: Occurrence Download

description: A dataset containing 2937640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000",
 "GadmGid is one of (ITA)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2937640 records from 564 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070339-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxspsm
title: Occurrence Download

description: A dataset containing 1741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cocos nucifera L."
 ]
}

 The dataset includes 1741 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070327-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15747969
title: Dataset for Alonso RG, Gianoli F, Fabella B, Hudspeth AJ. "Amplification through local critical behavior in the mammalian cochlea." PNAS, 2025.

description: This dataset supports the article ‘Amplification through local critical behavior in the mammalian cochlea’ PNAS, 2025 https://doi.org/10.1073/pnas.2503389122. It contains raw and processed data underlying all main and supplementary figures, including frequency-tuning curves, input–output compression measurements, distortion-product spectra, and optical coherence-tomography vibration maps from isolated gerbil cochlear segments studied ex vivo. The files allow full reproduction of the analyses showing local mechanical/electrical amplification consistent with operation near a Hopf bifurcation.
DOI: 10.5281/zenodo.15747970
title: Dataset for Alonso RG, Gianoli F, Fabella B, Hudspeth AJ. "Amplification through local critical behavior in the mammalian cochlea." PNAS, 2025.

description: This dataset supports the article ‘Amplification through local critical behavior in the mammalian cochlea’ PNAS, 2025 https://doi.org/10.1073/pnas.2503389122. It contains raw and processed data underlying all main and supplementary figures, including frequency-tuning curves, input–output compression measurements, distortion-product spectra, and optical coherence-tomography vibration maps from isolated gerbil cochlear segments studied ex vivo. The files allow full reproduction of the analyses showing local mechanical/electrical amplification consistent with operation near a Hopf bifurcation.
DOI: 10.15468/dl.p6wwtg
title: Occurrence Download

description: A dataset containing 2203 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 2203 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070328-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15625220
title: Genetic introgression of anadromous Atlantic salmon threatens persistence of a nonanadromous riverine population
DOI: 10.5281/zenodo.15625221
title: Genetic introgression of anadromous Atlantic salmon threatens persistence of a nonanadromous riverine population
DOI: 10.5281/zenodo.15750221
title: LOH events identified with revised method from manuscript Improved Genotype Inference Reveals Cis- and Trans-Driven Variation in the Loss-of-Heterozygosity Rates in Yeast
DOI: 10.5281/zenodo.15750222
title: LOH events identified with revised method from manuscript Improved Genotype Inference Reveals Cis- and Trans-Driven Variation in the Loss-of-Heterozygosity Rates in Yeast
DOI: 10.15468/dl.gpwr3t
title: Occurrence Download

description: A dataset containing 3376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.19717 19.51619,-98.84419 19.51619,-98.84419 19.70942,-99.19717 19.70942,-99.19717 19.51619))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 3376 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070330-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15748837
title: Spatial and single-cell expression analyses reveal complex expression domains in early wheat spike development

description: These are the scripts and files used in the wheat spatial transcriptomic and single-cell sequencing study.

This update added scripts and data for smFISH gene imputation, cellular trajectories using Monocle 3, and gene network analysis. We also added the source file for the visualization website for displaying smFISH original and imputed genes.

We also corrected the smFISH stage W3.25 to W3.5.
DOI: 10.15468/dl.mak66m
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Daption capense (Linnaeus, 1758)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 151 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070332-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scb9tw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070333-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15750209
title: Датасет анализ статистики сердечно-сосудистых заболеваний

description: 2025 biomed/upskill cources - учебный обезличенный датасет для практических занатий на курсах повышения квалификации. 

Таблица с разнородными данными, которые описывают медицинскую статистику сердечно-сосудистых заболеваний. В датасете более 100 тысяч записей, 38 столбцов, разные типы данных.

Что надо делать: загрузите датасет себе на компьютер и в ходе выполнения проекта будет видно как он преображается от просто набора ячеек в осознанный набор знаний.

Что должно быть на выходе: файл с кодом на Python, с комментариями, разделённый по блокам для прогнозирования рисков сердечно-сосудистых заболеваний, размещенный на GitHub с документацией.
DOI: 10.5281/zenodo.15741423
title: Transformer-based Deep Learning for Glycan Structure Inference from Tandem Mass Spectrometry

description: This dataset contains tandem mass spectrometry (MS/MS) spectra and glycan structures for the development and training of transformer-based models for glycan structure predictions. The MS/MS dataset was curated from the CandyCrunch project, adding metadata associated with the MS experiments.

Files:



dataset.xlsx: dataset of MS/MS spectra with glycan annotation and MS metadata

glycans_antennae.xlsx: dataset of glycan sentences (i.e., sequences of glycan antennae)
DOI: 10.5281/zenodo.15741422
title: Transformer-based Deep Learning for Glycan Structure Inference from Tandem Mass Spectrometry

description: This dataset contains tandem mass spectrometry (MS/MS) spectra and glycan structures for the development and training of transformer-based models for glycan structure predictions. The MS/MS dataset was curated from the CandyCrunch project, adding metadata associated with the MS experiments.

Files:



dataset.xlsx: dataset of MS/MS spectra with glycan annotation and MS metadata

glycans_antennae.xlsx: dataset of glycan sentences (i.e., sequences of glycan antennae)
DOI: 10.15468/dl.aw4s46
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.19717 19.51619,-98.84419 19.51619,-98.84419 19.70942,-99.19717 19.70942,-99.19717 19.51619))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 434 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070334-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7wtfb
title: Occurrence Download

description: A dataset containing 2324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2324 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070335-250525065834625/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/12295836
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15749761
title: Event-by-event hydrodynamic evolution for O+O @ 5.36 TeV from IP-Glasma + JIMWLK + MUSIC + UrQMD framework

description: This repository contains event-by-event hydrodynamic evolution for O+O collisions at 5.36 TeV. The numerical simulations are performed using the IP-Glasma + JIMWLK + MUSIC + UrQMD framework. Boost invariance is assumed in the longitudinal direction. The simulations are generated with the iEBE-MUSIC framework (#d7e86df).

The medium evolution profiles for individual collision events are stored in the “CXX-YY.tar.gz” files. Centrality bin was defined using the multiplicity of final-state charged hadrons at mid-rapidity. The hydrodynamic evolution files are called “evolution_all_xyeta.dat”. The positions of initial binary collisions are stored in the file “NcollList_XYZ.dat”, where XYZ is the global event ID in the simulations. Charged hadron and identified particle multiplicities and mean pT are recorded in the “particle_yield_and_meanpT_XYZ.dat” file. The anisotropic flow vectors of all charged hadrons are stored in “Qn_vectors_XYZ.dat”. The default pT cut is 0.2 to 3.0 GeV. The "observables.tar.gz" file contains a selection of experimental observables analyzed from the simulations.

The hydrodynamic evolution can be read by a program, https://github.com/chunshen1987/hydro_analysis. This program can provide all the dynamic information at any given space-time position. Please set “hydro_type” to 31 to properly read in the (2+1)D hydrodynamic medium.

The main reference is

@article{Mantysaari:2025tcg,    author = {M{\"a}ntysaari, Heikki and Schenke, Bj{\"o}rn and Shen, Chun and Zhao, Wenbin},    title = "{Collision energy dependence in heavy ion collisions from nonlinear QCD evolution}",    eprint = "2502.05138",    archivePrefix = "arXiv",    primaryClass = "nucl-th",    month = "2",    year = "2025"}
DOI: 10.5281/zenodo.15749762
title: Event-by-event hydrodynamic evolution for O+O @ 5.36 TeV from IP-Glasma + JIMWLK + MUSIC + UrQMD framework

description: This repository contains event-by-event hydrodynamic evolution for O+O collisions at 5.36 TeV. The numerical simulations are performed using the IP-Glasma + JIMWLK + MUSIC + UrQMD framework. Boost invariance is assumed in the longitudinal direction. The simulations are generated with the iEBE-MUSIC framework (#d7e86df).

The medium evolution profiles for individual collision events are stored in the “CXX-YY.tar.gz” files. Centrality bin was defined using the multiplicity of final-state charged hadrons at mid-rapidity. The hydrodynamic evolution files are called “evolution_all_xyeta.dat”. The positions of initial binary collisions are stored in the file “NcollList_XYZ.dat”, where XYZ is the global event ID in the simulations. Charged hadron and identified particle multiplicities and mean pT are recorded in the “particle_yield_and_meanpT_XYZ.dat” file. The anisotropic flow vectors of all charged hadrons are stored in “Qn_vectors_XYZ.dat”. The default pT cut is 0.2 to 3.0 GeV. The "observables.tar.gz" file contains a selection of experimental observables analyzed from the simulations.

The hydrodynamic evolution can be read by a program, https://github.com/chunshen1987/hydro_analysis. This program can provide all the dynamic information at any given space-time position. Please set “hydro_type” to 31 to properly read in the (2+1)D hydrodynamic medium.

The main reference is

@article{Mantysaari:2025tcg,    author = {M{\"a}ntysaari, Heikki and Schenke, Bj{\"o}rn and Shen, Chun and Zhao, Wenbin},    title = "{Collision energy dependence in heavy ion collisions from nonlinear QCD evolution}",    eprint = "2502.05138",    archivePrefix = "arXiv",    primaryClass = "nucl-th",    month = "2",    year = "2025"}
DOI: 10.15468/dl.7wumjg
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Callosobruchus maculatus (Fabricius, 1775)"
 ]
}

 The dataset includes 123 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070336-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n22g5w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070337-250525065834625/datasets/export for details.
DOI: 10.25625/sp1txd/wey3pj
title: __init__.py

description: :unav
DOI: 10.25625/sp1txd/iskdpb
title: mnist_shuffled.py

description: :unav
DOI: 10.25625/sp1txd/p5pdof
title: __init__.py

description: :unav
DOI: 10.25625/sp1txd/eux025
title: 5_tmlr_demo.ipynb

description: :unav
DOI: 10.25625/sp1txd/opb5ht
title: combined_mnist_quaternary_task.py

description: :unav
DOI: 10.25625/sp1txd/yle98u
title: combined_mnist_octal_task.py

description: :unav
DOI: 10.25625/sp1txd/0gyxue
title: env.yaml

description: :unav
DOI: 10.25625/sp1txd/qifdsr
title: config.py

description: :unav
DOI: 10.25625/sp1txd/wzm8qj
title: mnist1d_task.py

description: :unav
DOI: 10.25625/sp1txd/ky1ncm
title: experiment.py

description: :unav
DOI: 10.25625/sp1txd/0x1wnn
title: mnist_binary_task.py

description: :unav
DOI: 10.25625/sp1txd/tks9yy
title: combined_mnist_binary_task.py

description: :unav
DOI: 10.25625/sp1txd/qxssvo
title: var_u.mat

description: :unav
DOI: 10.25625/sp1txd/bhsire
title: mnist_eight_binary_task.py

description: :unav
DOI: 10.25625/sp1txd/ieuos6
title: reing.py

description: :unav
DOI: 10.25625/sp1txd/0f6vtu
title: reing_postprocessing.py

description: :unav
DOI: 10.25625/sp1txd/siiexr
title: fake_task.py

description: :unav
DOI: 10.25625/sp1txd/gu1l5t
title: performance_measurement.py

description: :unav
DOI: 10.25625/sp1txd/uxtt9o
title: neural_network.py

description: :unav
DOI: 10.25625/sp1txd/i2trew
title: xor_misinfo_task.py

description: :unav
DOI: 10.25625/sp1txd/enpomt
title: measurement.py

description: :unav
DOI: 10.25625/sp1txd/ejinwl
title: task.py

description: :unav
DOI: 10.25625/sp1txd/wgj1iv
title: binning.py

description: :unav
DOI: 10.25625/sp1txd/9ibmfp
title: rec_majority_task.py

description: :unav
DOI: 10.25625/sp1txd/wx68xn
title: pid_postprocessing.py

description: :unav
DOI: 10.25625/sp1txd/iqsd9x
title: file_io.py

description: :unav
DOI: 10.25625/sp1txd/ihwfij
title: xor_task.py

description: :unav
DOI: 10.25625/sp1txd/ab7tee
title: tester.py

description: :unav
DOI: 10.25625/sp1txd/vjlq3j
title: 3_tmlr_mnist_4levels_onehot.ipynb

description: :unav
DOI: 10.25625/sp1txd/utzgqt
title: README.md

description: :unav
DOI: 10.25625/sp1txd/alpgoc
title: utils.py

description: :unav
DOI: 10.25625/sp1txd/uv6jfd
title: .gitignore

description: :unav
DOI: 10.25625/sp1txd/ryyesk
title: fashion_mnist_task.py

description: :unav
DOI: 10.25625/sp1txd/cst6gl
title: logger.py

description: :unav
DOI: 10.25625/sp1txd/lulgss
title: 2_tmlr_mnist_8levels_binary.ipynb

description: :unav
DOI: 10.25625/sp1txd/v1fuuy
title: exp_comp.py

description: :unav
DOI: 10.25625/sp1txd/3lgfsm
title: trainer.py

description: :unav
DOI: 10.25625/sp1txd/hphaox
title: emnist_task.py

description: :unav
DOI: 10.25625/sp1txd/c1vlvk
title: combined_mnist_task.py

description: :unav
DOI: 10.25625/sp1txd/wcbrf8
title: __init__.py

description: :unav
DOI: 10.25625/sp1txd/o8pzxr
title: 1_tmlr_mnist_8levels_onehot.ipynb

description: :unav
DOI: 10.25625/sp1txd/1haq3m
title: checkerboard_task.py

description: :unav
DOI: 10.25625/sp1txd/l41x5l
title: schedule.py

description: :unav
DOI: 10.25625/sp1txd/ozdxch
title: task_manager.py

description: :unav
DOI: 10.25625/sp1txd/3in28k
title: setup.py

description: :unav
DOI: 10.25625/sp1txd/app5yc
title: quantization.py

description: :unav
DOI: 10.25625/sp1txd/xa3zbe
title: parity_task.py

description: :unav
DOI: 10.25625/sp1txd/2uuaap
title: tishby_task.py

description: :unav
DOI: 10.25625/sp1txd/wyviwc
title: 4_tmlr_cifar.ipynb

description: :unav
DOI: 10.25625/sp1txd/aumlnq
title: plot.py

description: :unav
DOI: 10.25625/sp1txd/wdeh1p
title: mnist_reduced_task.py

description: :unav
DOI: 10.25625/sp1txd/x8zlrz
title: cifar10_task.py

description: :unav
DOI: 10.25625/sp1txd/c3vrte
title: data_set.py

description: :unav
DOI: 10.25625/sp1txd/p0mxuo
title: LICENSE.txt

description: :unav
DOI: 10.25625/sp1txd/rprpbo
title: pid_measurement.py

description: :unav
DOI: 10.25625/sp1txd
title: nninfo

description: This is a snapshot of the "nninfo" python package for analyzing neural networks with information-theoretic tools. It is actively maintained on https://github.com/Priesemann-Group/nninfo
DOI: 10.15468/dl.bahwmx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Abelmoschus moschatus",
 "Country is Micronesia (Federated States of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070338-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gm7jub
title: Occurrence Download

description: A dataset containing 2012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 {
 "or" : [
 "Geometry POLYGON((-113.38919 -34.97056,-28.61081 -34.97056,-28.61081 -1.02944,-113.38919 -1.02944,-113.38919 -34.97056))",
 "Geometry POLYGON((-71.53626 -17.65365,-69.25675 -15.81115,-71.93034 -14.18407,-73.76168 -14.83489,-74.64257 -16.17512,-71.53626 -17.65365))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nothoprocta ornata (G.R.Gray, 1867)"
 ]
}

 The dataset includes 2012 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070340-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.