cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15137082
title: Table 1 in Report of 22 unrecorded bacterial species in Korea belonging to phylum Bacteroidetes, discovered during surveys in 2018

description: Table 1. Summary of isolated strains belonging to the class Bacteroidetes and their taxonomic affiliations.
FamilyGenusStrain IDNIBR IDMost closely related speciesSimilarity(%)Isolation sourceMediumIncubation conditionsBacteroidaceaeBacteroidesLPB0213GFMCBAC000000229Bacteroides caecimuris99.5%MouseAnaerobe basal30℃, 3 daysBalneolaceaeBalneolaMaG24GFMCBAC000000251Balneola alkaliphila100.0%Seawater algaeMA25℃, 3 daysChitinophagaceaeTerrimonasWi-47GFMCBAC000000169Terrimonas ferruginea100.0%SludgeR2A30℃, 2 daysCytophagaceaeDyadobacterGA076GFMCBAC000000151Dyadobacter alkalitolerans98.7%SoilR2A30℃, 3 daysAquimarinaKYW1525GFMCBAC000000234Aquimarina atlantica99.9%SeawaterMA25℃, 3 daysArenibacterAst28GFMCBAC000000242Arenibacter algicola99.9%Seawater algaeMA10-30℃, 7 daysChryseobacteriumHMF5202 18S4T3 18H1T5 18H3M2 BT43GFMCBAC000000222 GFMCBAC000000191 GFMCBAC000000198 GFMCBAC000000206 GFMCBAC000000055Chryseobacterium nepalense Chryseobacterium carnipullorum Chryseobacterium rhizoplanae Chryseobacterium lineare Chryseobacterium profundimaris100.0% 98.8% 99.2% 99.4% 99.0%Moss Soil Soil Soil SoilR2A MH MH MH R2A30℃, 3 days 30℃, 2 days 30℃, 2 days 30℃, 2 days 25℃, 4 daysFlavobacteriaceaeFlavobacteriumBO204 18S4P11 18H3V6 18N3G15 18N3V8GFMCBAC000000159 GFMCBAC000000192 GFMCBAC000000195 GFMCBAC000000197 GFMCBAC000000201Flavobacterium flevense Flavobacterium banpakuense Flavobacterium branchiarum Flavobacterium pectinovorum Flavobacterium tructae99.8% 98.8% 99.0% 98.8% 99.6%Soil Soil Soil Soil SoilR2A MH MH MH MH25℃, 3 days 30℃, 2 days 30℃, 2 days 30℃, 2 days 30℃, 2 daysGillisiaSC115GFMCBAC000000237Gillisia limnaea99.1%Mud flatMA25℃, 5 daysGilvibacterHMF9181GFMCBAC000000224Gilvibacter sediminis99.3%SeawaterMA30℃, 3 daysSalinimicrobiumSC71GFMCBAC000000152Salinimicrobium flavum100.0%Mud flatMA25℃, 3 daysWinogradskyellaHMF9088GFMCBAC000000106Winogradskyella litoriviva98.8%SeawaterMA30℃, 3 daysSphingobacteriaceaePedobacter SphingobacteriumBO167 18SBM11GFMCBAC000000256 GFMCBAC000000205Pedobacter borealis Sphingobacterium nematocida99.2% 99.9%Soil SoilR2A MH25℃, 3 days 30℃, 2 days
description: Published as part of Kim, Min Ji, Kim, Yeong Seok, Cha, Chang-Jun, Im, Wan-Taek, Jeon, Che Ok, Joh, Kiseong, Seong, Chi Nam & Kim, Hana Yi and Seung Bum, 2020, Report of 22 unrecorded bacterial species in Korea belonging to phylum Bacteroidetes, discovered during surveys in 2018, pp. 28 in Journal of Species Research 9 (1) on page 28, DOI: 10.12651/JSR.2020.9.1.026, http://zenodo.org/record/12753628
DOI: 10.5281/zenodo.15137083
title: Table 1 in Report of 22 unrecorded bacterial species in Korea belonging to phylum Bacteroidetes, discovered during surveys in 2018

description: Table 1. Summary of isolated strains belonging to the class Bacteroidetes and their taxonomic affiliations.
FamilyGenusStrain IDNIBR IDMost closely related speciesSimilarity(%)Isolation sourceMediumIncubation conditionsBacteroidaceaeBacteroidesLPB0213GFMCBAC000000229Bacteroides caecimuris99.5%MouseAnaerobe basal30℃, 3 daysBalneolaceaeBalneolaMaG24GFMCBAC000000251Balneola alkaliphila100.0%Seawater algaeMA25℃, 3 daysChitinophagaceaeTerrimonasWi-47GFMCBAC000000169Terrimonas ferruginea100.0%SludgeR2A30℃, 2 daysCytophagaceaeDyadobacterGA076GFMCBAC000000151Dyadobacter alkalitolerans98.7%SoilR2A30℃, 3 daysAquimarinaKYW1525GFMCBAC000000234Aquimarina atlantica99.9%SeawaterMA25℃, 3 daysArenibacterAst28GFMCBAC000000242Arenibacter algicola99.9%Seawater algaeMA10-30℃, 7 daysChryseobacteriumHMF5202 18S4T3 18H1T5 18H3M2 BT43GFMCBAC000000222 GFMCBAC000000191 GFMCBAC000000198 GFMCBAC000000206 GFMCBAC000000055Chryseobacterium nepalense Chryseobacterium carnipullorum Chryseobacterium rhizoplanae Chryseobacterium lineare Chryseobacterium profundimaris100.0% 98.8% 99.2% 99.4% 99.0%Moss Soil Soil Soil SoilR2A MH MH MH R2A30℃, 3 days 30℃, 2 days 30℃, 2 days 30℃, 2 days 25℃, 4 daysFlavobacteriaceaeFlavobacteriumBO204 18S4P11 18H3V6 18N3G15 18N3V8GFMCBAC000000159 GFMCBAC000000192 GFMCBAC000000195 GFMCBAC000000197 GFMCBAC000000201Flavobacterium flevense Flavobacterium banpakuense Flavobacterium branchiarum Flavobacterium pectinovorum Flavobacterium tructae99.8% 98.8% 99.0% 98.8% 99.6%Soil Soil Soil Soil SoilR2A MH MH MH MH25℃, 3 days 30℃, 2 days 30℃, 2 days 30℃, 2 days 30℃, 2 daysGillisiaSC115GFMCBAC000000237Gillisia limnaea99.1%Mud flatMA25℃, 5 daysGilvibacterHMF9181GFMCBAC000000224Gilvibacter sediminis99.3%SeawaterMA30℃, 3 daysSalinimicrobiumSC71GFMCBAC000000152Salinimicrobium flavum100.0%Mud flatMA25℃, 3 daysWinogradskyellaHMF9088GFMCBAC000000106Winogradskyella litoriviva98.8%SeawaterMA30℃, 3 daysSphingobacteriaceaePedobacter SphingobacteriumBO167 18SBM11GFMCBAC000000256 GFMCBAC000000205Pedobacter borealis Sphingobacterium nematocida99.2% 99.9%Soil SoilR2A MH25℃, 3 days 30℃, 2 days
description: Published as part of Kim, Min Ji, Kim, Yeong Seok, Cha, Chang-Jun, Im, Wan-Taek, Jeon, Che Ok, Joh, Kiseong, Seong, Chi Nam & Kim, Hana Yi and Seung Bum, 2020, Report of 22 unrecorded bacterial species in Korea belonging to phylum Bacteroidetes, discovered during surveys in 2018, pp. 28 in Journal of Species Research 9 (1) on page 28, DOI: 10.12651/JSR.2020.9.1.026, http://zenodo.org/record/12753628
DOI: 10.6084/m9.figshare.30646385
title: Dataset on Emotional Dysregulation in Depression

description: This dataset contains electroencephalography (EEG) recordings collected from 15 adults diagnosed with severe Major Depressive Disorder (MDD) (HDRS-17 &gt; 20). Participants viewed standardised emotional images from the International Affective Picture System (IAPS) across three affective categories: Low Valence High Arousal (LVHA) (Class 0), Neutral (Class 1), and High Valence Low Arousal (HVHA) (Class 2). Each stimulus block consisted of 12 images (10 seconds each), followed by a one-minute resting period, with continuous EEG recorded throughout. Baseline data were also collected for two minutes at the start of each session.EEG was recorded using a 19-channel RMS EEG-32 SuperSpec system (256 Hz), following the international 10–20 electrode placement system. Signals were preprocessed using smoothing filters, Chebyshev band-pass filtering, and wavelet-based denoising to remove ocular and muscular artefacts. The dataset includes preprocessed EEG data as well as features derived across the five major frequency bands (delta, theta, alpha, beta, gamma).From the processed EEG, 966 features were extracted, including: Relative spectral power (570 features), Frontal asymmetry indices (54 features), and Band ratios such as theta/alpha and gamma/alpha (342 features).These features were organised into three machine-learning pipelines: Stimulus classification (LVHA, Neutral, HVHA), Rest-state classification (rest 1, rest 2, rest 3), and Paired rest vs stimulus classification.Models including Decision Trees, Random Forests, XGBoost, and Logistic Regression were trained using these features, with SHAP-based interpretability used to identify the most important neural markers. Findings highlight distinctive roles of frontal asymmetry, parietal alpha/theta power, temporal gamma activity, and functional connectivity patterns in depression.This dataset supports research in affective neuroscience, EEG biomarkers, mental-health diagnostics, and machine-learning–based classification of emotional states in psychiatric populations.
DOI: 10.6084/m9.figshare.30646385.v1
title: Dataset on Emotional Dysregulation in Depression

description: This dataset contains electroencephalography (EEG) recordings collected from 15 adults diagnosed with severe Major Depressive Disorder (MDD) (HDRS-17 &gt; 20). Participants viewed standardised emotional images from the International Affective Picture System (IAPS) across three affective categories: Low Valence High Arousal (LVHA) (Class 0), Neutral (Class 1), and High Valence Low Arousal (HVHA) (Class 2). Each stimulus block consisted of 12 images (10 seconds each), followed by a one-minute resting period, with continuous EEG recorded throughout. Baseline data were also collected for two minutes at the start of each session.EEG was recorded using a 19-channel RMS EEG-32 SuperSpec system (256 Hz), following the international 10–20 electrode placement system. Signals were preprocessed using smoothing filters, Chebyshev band-pass filtering, and wavelet-based denoising to remove ocular and muscular artefacts. The dataset includes preprocessed EEG data as well as features derived across the five major frequency bands (delta, theta, alpha, beta, gamma).From the processed EEG, 966 features were extracted, including: Relative spectral power (570 features), Frontal asymmetry indices (54 features), and Band ratios such as theta/alpha and gamma/alpha (342 features).These features were organised into three machine-learning pipelines: Stimulus classification (LVHA, Neutral, HVHA), Rest-state classification (rest 1, rest 2, rest 3), and Paired rest vs stimulus classification.Models including Decision Trees, Random Forests, XGBoost, and Logistic Regression were trained using these features, with SHAP-based interpretability used to identify the most important neural markers. Findings highlight distinctive roles of frontal asymmetry, parietal alpha/theta power, temporal gamma activity, and functional connectivity patterns in depression.This dataset supports research in affective neuroscience, EEG biomarkers, mental-health diagnostics, and machine-learning–based classification of emotional states in psychiatric populations.
DOI: 10.6084/m9.figshare.30646385.v2
title: Dataset on Emotional Dysregulation in Depression

description: This dataset contains electroencephalography (EEG) recordings collected from 15 adults diagnosed with severe Major Depressive Disorder (MDD) (HDRS-17 &gt; 20). Participants viewed standardised emotional images from the International Affective Picture System (IAPS) across three affective categories: Low Valence High Arousal (LVHA) (Class 0), Neutral (Class 1), and High Valence Low Arousal (HVHA) (Class 2). Each stimulus block consisted of 12 images (10 seconds each), followed by a one-minute resting period, with continuous EEG recorded throughout. Baseline data were also collected for two minutes at the start of each session.EEG was recorded using a 19-channel RMS EEG-32 SuperSpec system (256 Hz), following the international 10–20 electrode placement system. Signals were preprocessed using smoothing filters, Chebyshev band-pass filtering, and wavelet-based denoising to remove ocular and muscular artefacts. The dataset includes preprocessed EEG data as well as features derived across the five major frequency bands (delta, theta, alpha, beta, gamma).From the processed EEG, 966 features were extracted, including: Relative spectral power (570 features), Frontal asymmetry indices (54 features), and Band ratios such as theta/alpha and gamma/alpha (342 features).These features were organised into three machine-learning pipelines: Stimulus classification (LVHA, Neutral, HVHA), Rest-state classification (rest 1, rest 2, rest 3), and Paired rest vs stimulus classification.Models including Decision Trees, Random Forests, XGBoost, and Logistic Regression were trained using these features, with SHAP-based interpretability used to identify the most important neural markers. Findings highlight distinctive roles of frontal asymmetry, parietal alpha/theta power, temporal gamma activity, and functional connectivity patterns in depression.This dataset supports research in affective neuroscience, EEG biomarkers, mental-health diagnostics, and machine-learning–based classification of emotional states in psychiatric populations.
DOI: 10.15468/dl.qmpyyn
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Eutricharaea"
 ]
}

 The dataset includes 199 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000705-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vme4gw
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Changnienia amoena",
 "Year 1950-2026"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000704-260108223611665/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.31034131
title: Africa Solar Panel Test data

description: This dataset provides the complete photovoltaic test set results, aiming to illustrate the accuracy of current models in recognizing Ispingo Beach in South Africa.The dataset comprises high-resolution satellite imagery, model-predicted vectors, manually annotated ground truth data, a set of 10,000 systematically sampled points for statistical validation, and a detailed results table containing performance metrics such as IoU, precision, recall, and F1-score. The accompanying guidelines outline a clear workflow for data visualization, accuracy assessment via confusion matrix analysis, and metric calculation, ensuring reproducibility and transparent evaluation. All spatial data are consistently georeferenced, and key model performance results are summarized.
DOI: 10.6084/m9.figshare.31034131.v1
title: Africa Solar Panel Test data

description: This dataset provides the complete photovoltaic test set results, aiming to illustrate the accuracy of current models in recognizing Ispingo Beach in South Africa.The dataset comprises high-resolution satellite imagery, model-predicted vectors, manually annotated ground truth data, a set of 10,000 systematically sampled points for statistical validation, and a detailed results table containing performance metrics such as IoU, precision, recall, and F1-score. The accompanying guidelines outline a clear workflow for data visualization, accuracy assessment via confusion matrix analysis, and metric calculation, ensuring reproducibility and transparent evaluation. All spatial data are consistently georeferenced, and key model performance results are summarized.
DOI: 10.15468/dl.235mzw
title: Occurrence Download

description: A dataset containing 2513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Montserrat",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 2513 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000706-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsacgz
title: Occurrence Download

description: A dataset containing 35207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 35207 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000707-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9dwsb
title: Occurrence Download

description: A dataset containing 514783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 514783 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000688-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsf9bp
title: Occurrence Download

description: A dataset containing 50849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 50849 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000675-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18194472
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.5281/zenodo.18182318
title: Climatology of Mars Topside Ionosphere during Solar Cycles 24 and 25 using MAVEN Dataset of 2015-2024

description: This study presents, for the first instance, a climatological analysis of the Martian topside ionosphere using long-term MAVEN spacecraft datasets across different phases of Solar Cycles 24 and 25, covering Martian Years 32 to 37 (2015–2024). It investigated the behavior of key ionospheric species (e-, CO2+, O2+, NO+, OH+, O+, N+ & C+) in the northern hemisphere in relation to variations in solar irradiance and solar wind conditions.  The research provides an overall picture of the Solar Cycle-dependent topside ionospheric variation and will serve as a valuable quiet-time reference data for scientific community in investigating the space weather induced disturbances.
DOI: 10.5281/zenodo.15689633
title: Climatology of Mars Topside Ionosphere during Solar Cycles 24 and 25 using MAVEN Dataset of 2015-2024

description: This study presents, for the first instance, a climatological analysis of the Martian topside ionosphere using long-term MAVEN spacecraft datasets across different phases of Solar Cycles 24 and 25, covering Martian Years 32 to 37 (2015–2024). It investigated the behavior of key ionospheric species (e-, CO2+, O2+, NO+, OH+, O+, N+ & C+) in the northern hemisphere in relation to variations in solar irradiance and solar wind conditions.  The research provides an overall picture of the Solar Cycle-dependent topside ionospheric variation and will serve as a valuable quiet-time reference data for scientific community in investigating the space weather induced disturbances.
DOI: 10.15468/dl.7h7zfx
title: Occurrence Download

description: A dataset containing 3886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Myanmar",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 3886 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000708-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8tywh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens leptoceras",
 "GadmGid is IND"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000709-260108223611665/datasets/export for details.
DOI: 10.15468/dl.93rggu
title: Occurrence Download

description: A dataset containing 23401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 23401 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000711-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m7qq4
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Changnienia amoena",
 "Year 1950-2026"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000712-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwnqre
title: Occurrence Download

description: A dataset containing 556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Picconia excelsa"
 ]
}

 The dataset includes 556 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000714-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rfzjt
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nauru",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebw6yr
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physaria mendocina"
 ]
}

 The dataset includes 81 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000716-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gac88
title: Occurrence Download

description: A dataset containing 1437134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2026"
 ]
}

 The dataset includes 1437134 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000699-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.