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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.00059400000001 23.923187, 88.923773 23.91761, 88.84886299999999 23.901018, 88.777725 23.873824, 88.712126 23.836702, 88.653688 23.790576, 88.603854 23.73659, 88.563847 23.676081, 88.534644 23.610548, 88.516949 23.54161, 88.51118099999999 23.470968, 88.51746300000001 23.400363, 88.535622 23.331532, 88.56519400000001 23.266165, 88.60543699999999 23.205867, 88.65535300000001 23.152114, 88.71370899999999 23.106221, 88.779072 23.069311, 88.849842 23.042283, 88.924288 23.025798, 89.00059400000001 23.020258, 89.07689999999999 23.025798, 89.151347 23.042283, 89.222116 23.069311, 89.287479 23.106221, 89.34583499999999 23.152114, 89.395751 23.205867, 89.43599399999999 23.266165, 89.465566 23.331532, 89.48372500000001 23.400363, 89.49000700000001 23.470968, 89.484239 23.54161, 89.466544 23.610548, 89.437341 23.676081, 89.397334 23.73659, 89.3475 23.790576, 89.289062 23.836702, 89.223463 23.873824, 89.152325 23.901018, 89.077415 23.91761, 89.00059400000001 23.923187))"},{"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/0006226-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.17265316
title: Dataset-of-SpecMCD

description: The cloud detection dataset of "Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network"

Preprint: https://doi.org/10.48550/arXiv.2510.00654.

Total dataset is avaible at https://pan.baidu.com/s/1zSonbpYCZhJk6RxI-hX0Bg?pwd=1234. Code: 1234
DOI: 10.5281/zenodo.18344981
title: Dataset-of-SpecMCD

description: The cloud detection dataset of "Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network"

Preprint: https://doi.org/10.48550/arXiv.2510.00654.

Total dataset is avaible at https://pan.baidu.com/s/1zSonbpYCZhJk6RxI-hX0Bg?pwd=1234. Code: 1234
DOI: 10.5281/zenodo.12155112
title: HARTU VEGETABLES DATASET

description: This dataset is created using vegetables CAD models. There are three distinct datasets: tomatoes, eggplants, and zucchinis. For each image, the location of each fruit is provided at the box level with labels in YOLO format. Each dataset is divided on train, val and test subsets. 

The HARTU project supports this work. This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101092100.
DOI: 10.5281/zenodo.18341150
title: HARTU VEGETABLES DATASET

description: This dataset is created using vegetables CAD models. There are three distinct datasets: tomatoes, eggplants, and zucchinis. For each image, the location of each fruit is provided at the box level with labels in YOLO format. Each dataset is divided on train, val and test subsets. 

The HARTU project supports this work. This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101092100.
DOI: 10.15468/dl.vm6gak
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.11490000000001 23.924551, 89.038078 23.918974, 88.963167 23.902382, 88.89202899999999 23.875188, 88.826429 23.838067, 88.76799 23.79194, 88.71815599999999 23.737954, 88.678149 23.677446, 88.648945 23.611912, 88.63124999999999 23.542974, 88.62548200000001 23.472332, 88.631764 23.401727, 88.649924 23.332896, 88.679496 23.26753, 88.719739 23.207231, 88.769656 23.153478, 88.828012 23.107586, 88.893376 23.070675, 88.964146 23.043647, 89.03859300000001 23.027162, 89.11490000000001 23.021622, 89.19120700000001 23.027162, 89.265654 23.043647, 89.33642399999999 23.070675, 89.401788 23.107586, 89.460144 23.153478, 89.51006099999999 23.207231, 89.550304 23.26753, 89.579876 23.332896, 89.59803599999999 23.401727, 89.60431800000001 23.472332, 89.59855 23.542974, 89.580855 23.611912, 89.55165100000001 23.677446, 89.511644 23.737954, 89.46181 23.79194, 89.40337100000001 23.838067, 89.337771 23.875188, 89.266633 23.902382, 89.191722 23.918974, 89.11490000000001 23.924551))"},{"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/0006227-260120142942310/datasets/export for details.
DOI: 10.5524/102798
title: Supporting data for "ViralBindPredict: Empowering Viral Protein-Ligand Binding Sites through Deep Learning and Protein Sequence-Derived Insights"

description: The ViralBindPredict dataset was created to provide a unified, large-scale resource of viral protein-ligand interactions suitable for machine learning and reproducible benchmarking. Structural entries were collected from the Protein Data Bank and processed to retain only viral protein chains with biologically relevant ligands. Modified residues were mapped to canonical amino acids, ligands were filtered for chemical relevance and standardized using SMILES and InChI, and residue-level interaction labels were assigned using a 4.5 A heavy-atom distance cutoff. <br> The dataset includes curated viral protein sequences, chain-specific structural files, canonical ligand identifiers, validated molecular descriptors, sequence embeddings, and residue-level interaction annotations. Multiple dataset versions are provided, including a full set and a non-redundant set clustered at 90% sequence identity. Leakage-controlled split strategies (Cluster90%, Cluster40%, NoRed-Cluster90%, NoRed-Cluster40%) separate proteins and ligands into training, validation, testing, blind protein, blind ligand, and fully blind subsets to support rigorous generalization studies. <br> This dataset enables the development and evaluation of computational methods for predicting viral ligand-binding residues, modeling viral drug-target interactions, benchmarking sequence-based models, and supporting antiviral discovery workflows.
DOI: 10.15468/dl.xmsarh
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hierochloe odorata",
 "Year 1960-2010"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006228-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxnvy6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((51.35277 34.74421,87.64723 34.74421,87.64723 49.25579,51.35277 49.25579,51.35277 34.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juno orchioides"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006230-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18345875
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.15468/dl.dx9kq2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((51.35277 36.24421,87.64723 36.24421,87.64723 50.75579,51.35277 50.75579,51.35277 36.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jurinea cephalopoda"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006231-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujd4jm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((11.05542 18.02944,95.94458 18.02944,95.94458 51.97056,11.05542 51.97056,11.05542 18.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus seravschanica"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006229-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17880412
title: The Effect of e-WOM, Price Perception, and Trust on Shopee Users' Purchase Decisions in Bekasi

description: This data is used for research in a scientific article titled The Effect of e-WOM, Price Perception, and Trust on Shopee Users' Purchase Decisions in Bekasi.
DOI: 10.5281/zenodo.17880413
title: The Effect of e-WOM, Price Perception, and Trust on Shopee Users' Purchase Decisions in Bekasi

description: This data is used for research in a scientific article titled The Effect of e-WOM, Price Perception, and Trust on Shopee Users' Purchase Decisions in Bekasi.
DOI: 10.15468/dl.pu7xe7
title: Occurrence Download

description: A dataset containing 24492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Juniperus chinensis, Juniperus chinensis, Juniperus chinensis, Juniperus chinensis, Juniperus chinensis chinensis, Juniperus chinensis chinensis, Cypressocrinites, Cypressocrinus, Cypressaurus hypsodontus, Cupressaceae, Juniperus chinensis albovariegata, Juniperus chinensis armstrongii, Platycladus orientalis, Platycladus orientalis chengii, Platycladus orientalis pendula)"
 ]
}

 The dataset includes 24492 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpxpzj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.4328 23.936551, 89.355971 23.930974, 89.281053 23.914382, 89.209908 23.887187, 89.144302 23.850066, 89.085858 23.80394, 89.036019 23.749953, 88.996009 23.689445, 88.966802 23.623912, 88.949106 23.554973, 88.943338 23.484332, 88.94962099999999 23.413727, 88.967782 23.344896, 88.99735699999999 23.27953, 89.037604 23.219232, 89.087525 23.165479, 89.145887 23.119586, 89.21125600000001 23.082675, 89.282033 23.055648, 89.356486 23.039163, 89.4328 23.033623, 89.509114 23.039163, 89.583567 23.055648, 89.65434399999999 23.082675, 89.719713 23.119586, 89.778075 23.165479, 89.827996 23.219232, 89.86824300000001 23.27953, 89.897818 23.344896, 89.91597899999999 23.413727, 89.922262 23.484332, 89.916494 23.554973, 89.898798 23.623912, 89.869591 23.689445, 89.829581 23.749953, 89.779742 23.80394, 89.721298 23.850066, 89.655692 23.887187, 89.584547 23.914382, 89.509629 23.930974, 89.4328 23.936551))"},{"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/0006235-260120142942310/datasets/export for details.
DOI: 10.15468/dl.jnhw42
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Werneria nubigena"
 ]
}

 The dataset includes 246 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006234-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18309467
title: VR-Based Cognitive Screening (VR-CS) Eye-Tracking Metrics for Early Cognitive Decline (AD, MCI, Controls; N=60)

description: Overview

This record provides an ethics-compliant, reproducible package supporting a VR-based cognitive screening study with integrated eye tracking (Alzheimer’s disease, mild cognitive impairment, and cognitively normal controls; N=60, 20 per group). The open materials enable verification and reproduction of all aggregated statistics (Tables 4–6) and figures (e.g., Figure 3) reported in the manuscript. The package also includes the full analysis pipeline and parameter settings used for leakage-safe cross-validated ROC analyses; re-running the complete ROC pipeline from participant-level predictors requires controlled access to human research data (see below).

Open-access contents (this Zenodo record)



Analysis code (Python) with exact parameters and random seeds.

ROI dictionary / mapping rules used to group ROI names into ROI types (e.g., KW/INST/BG) and task-specific ROI segmentation.

Aggregated, de-identified summary tables and figure source data sufficient to reproduce Tables 4–6 and Figure 3 without exposing participant-level data.

Aggregated ROC/CV outputs (AUC, confidence intervals, fold-level summaries) enabling transparent verification of manuscript performance claims.

Reproducibility instructions (README) and environment specification.


Controlled-access contents (not publicly released here)

Participant-level derived feature tables and any raw/near-raw eye-tracking files contain potentially re-identifiable human research data and are therefore not publicly available. Access may be granted to qualified researchers for research purposes upon reasonable request and execution of a data use agreement, subject to ethics constraints. A Curtin Research Data Collection (Curtin RDC) controlled-access record is currently under institutional review/in preparation; the landing page DOI/URL will be added when available.

Licensing

Data and documentation in this Zenodo record are released under CC BY 4.0. Source code is additionally available under the MIT License (see LICENSE_CODE_MIT.txt in the package).

Hardware/Software

Eye-tracking was collected using a Pico 4 Pro HMD with integrated eye tracking (HMD refresh 90 Hz; eye-tracking sampled at 60 Hz). The VR task was developed in Unity3D.

Intended use

These materials support method validation, benchmarking, and transparent re-analysis of VR-based eye-tracking markers for early cognitive decline. External validation on independent cohorts is required before clinical deployment.

Contact: haiwei.zuo@postgrad.curtin.edu.my
DOI: 10.5281/zenodo.15072450
title: VR-Based Cognitive Screening (VR-CS) Eye-Tracking Metrics for Early Cognitive Decline (AD, MCI, Controls; N=60)

description: Overview

This record provides an ethics-compliant, reproducible package supporting a VR-based cognitive screening study with integrated eye tracking (Alzheimer’s disease, mild cognitive impairment, and cognitively normal controls; N=60, 20 per group). The open materials enable verification and reproduction of all aggregated statistics (Tables 4–6) and figures (e.g., Figure 3) reported in the manuscript. The package also includes the full analysis pipeline and parameter settings used for leakage-safe cross-validated ROC analyses; re-running the complete ROC pipeline from participant-level predictors requires controlled access to human research data (see below).

Open-access contents (this Zenodo record)



Analysis code (Python) with exact parameters and random seeds.

ROI dictionary / mapping rules used to group ROI names into ROI types (e.g., KW/INST/BG) and task-specific ROI segmentation.

Aggregated, de-identified summary tables and figure source data sufficient to reproduce Tables 4–6 and Figure 3 without exposing participant-level data.

Aggregated ROC/CV outputs (AUC, confidence intervals, fold-level summaries) enabling transparent verification of manuscript performance claims.

Reproducibility instructions (README) and environment specification.


Controlled-access contents (not publicly released here)

Participant-level derived feature tables and any raw/near-raw eye-tracking files contain potentially re-identifiable human research data and are therefore not publicly available. Access may be granted to qualified researchers for research purposes upon reasonable request and execution of a data use agreement, subject to ethics constraints. A Curtin Research Data Collection (Curtin RDC) controlled-access record is currently under institutional review/in preparation; the landing page DOI/URL will be added when available.

Licensing

Data and documentation in this Zenodo record are released under CC BY 4.0. Source code is additionally available under the MIT License (see LICENSE_CODE_MIT.txt in the package).

Hardware/Software

Eye-tracking was collected using a Pico 4 Pro HMD with integrated eye tracking (HMD refresh 90 Hz; eye-tracking sampled at 60 Hz). The VR task was developed in Unity3D.

Intended use

These materials support method validation, benchmarking, and transparent re-analysis of VR-based eye-tracking markers for early cognitive decline. External validation on independent cohorts is required before clinical deployment.

Contact: haiwei.zuo@postgrad.curtin.edu.my
DOI: 10.15468/dl.cujt6r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((60.35277 36.24421,96.64723 36.24421,96.64723 50.75579,60.35277 50.75579,60.35277 36.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jurinea robusta"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006240-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qxduv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((49.35277 37.24421,85.64723 37.24421,85.64723 51.75579,49.35277 51.75579,49.35277 37.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Jurinea eximia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006239-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18338097
title: 2DIR_all
DOI: 10.15468/dl.vf96ca
title: Occurrence Download

description: A dataset containing 8588 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Debregeasia"
 ]
}

 The dataset includes 8588 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006238-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au4thh
title: Occurrence Download

description: A dataset containing 4535 records in GBIF matching the query:
SELECT
 '141' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -8.098015256935714
 AND decimalLatitude &lt;= -4.045127286108716
 AND decimalLongitude &gt;= 109.92452866889266
 AND decimalLongitude &lt;= 115.45612368472885
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 4535 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006225-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8crmnh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.14360000000001 23.937951, 89.06677000000001 23.932374, 88.99185199999999 23.915782, 88.920706 23.888587, 88.855099 23.851466, 88.796655 23.80534, 88.746815 23.751353, 88.70680400000001 23.690845, 88.67759700000001 23.625312, 88.659901 23.556373, 88.654133 23.485731, 88.660416 23.415127, 88.678577 23.346296, 88.708152 23.28093, 88.7484 23.220632, 88.798321 23.166879, 88.856684 23.120986, 88.922054 23.084075, 88.992831 23.057048, 89.067285 23.040563, 89.14360000000001 23.035023, 89.219915 23.040563, 89.294369 23.057048, 89.365146 23.084075, 89.430516 23.120986, 89.488879 23.166879, 89.53879999999999 23.220632, 89.579048 23.28093, 89.60862299999999 23.346296, 89.626784 23.415127, 89.633067 23.485731, 89.62729899999999 23.556373, 89.60960300000001 23.625312, 89.58039599999999 23.690845, 89.540385 23.751353, 89.490545 23.80534, 89.432101 23.851466, 89.366494 23.888587, 89.295348 23.915782, 89.22042999999999 23.932374, 89.14360000000001 23.937951))"},{"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/0006241-260120142942310/datasets/export for details.