cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bzfs5xz873
title: Bridging the gap between academic exploration and industrial reality in supercritical fluid extraction: a machine learning and kinetic approach

description: Abstract of the related article: Supercritical Fluid Extraction (SFE) has evolved from a niche technique to a pivotal platform for the circular bioeconomy. This study presents a critical, data-driven assessment of the SFE landscape, integrating text mining, kinetic modeling, and machine learning (Random Forest) to analyze 1,204 scientific articles (2010–2024) and 3,844 patents. The results reveal a "science-push" phenomenon, a structural shift towards microalgae and waste valorization, and a strategic divergence between academic exploration and industrial intellectual property protection. 

Description of the data files: This dataset contains the processed data and scripts used to generate the results and figures presented in the article. 
1) Artigos_SFE_FINAL_COMPLETO.xlsx: The harmonized bibliographic dataset of 1,204 scientific articles. It includes standardized columns for Matrix Categories (e.g., Marine Sources, Agro-Waste) and Target Compounds, cleaned via text mining algorithms. 
2) Tabela_Cinetica_K.xlsx: The output of the kinetic modeling analysis, containing the calculated growth rate constants (k), Standard Errors, and R2 values for all studied matrix and target categories (2010–2024). 
3) Scripts_R_Analysis.R: The complete R programming script used for:
a) Data harmonization and cleaning.
b) Kinetic modeling (non-linear regression).
c) Multivariate analysis (Random Forest and Negative Binomial Regression).
d) Generation of figures and patent landscape plots.

Methodology: Data were retrieved from Scopus, Web of Science, and PubMed (scientific articles) and Lens.org (patents). Text mining and statistical analyses were performed using R (v. 4.4.1) with packages dplyr, stringr, minpack.lm, and randomForest.
DOI: 10.17632/bzfs5xz873.1
title: Bridging the gap between academic exploration and industrial reality in supercritical fluid extraction: a machine learning and kinetic approach

description: Abstract of the related article: Supercritical Fluid Extraction (SFE) has evolved from a niche technique to a pivotal platform for the circular bioeconomy. This study presents a critical, data-driven assessment of the SFE landscape, integrating text mining, kinetic modeling, and machine learning (Random Forest) to analyze 1,204 scientific articles (2010–2024) and 3,844 patents. The results reveal a "science-push" phenomenon, a structural shift towards microalgae and waste valorization, and a strategic divergence between academic exploration and industrial intellectual property protection. 

Description of the data files: This dataset contains the processed data and scripts used to generate the results and figures presented in the article. 
1) Artigos_SFE_FINAL_COMPLETO.xlsx: The harmonized bibliographic dataset of 1,204 scientific articles. It includes standardized columns for Matrix Categories (e.g., Marine Sources, Agro-Waste) and Target Compounds, cleaned via text mining algorithms. 
2) Tabela_Cinetica_K.xlsx: The output of the kinetic modeling analysis, containing the calculated growth rate constants (k), Standard Errors, and R2 values for all studied matrix and target categories (2010–2024). 
3) Scripts_R_Analysis.R: The complete R programming script used for:
a) Data harmonization and cleaning.
b) Kinetic modeling (non-linear regression).
c) Multivariate analysis (Random Forest and Negative Binomial Regression).
d) Generation of figures and patent landscape plots.

Methodology: Data were retrieved from Scopus, Web of Science, and PubMed (scientific articles) and Lens.org (patents). Text mining and statistical analyses were performed using R (v. 4.4.1) with packages dplyr, stringr, minpack.lm, and randomForest.
DOI: 10.15468/dl.77gc4w
title: Occurrence Download

description: A dataset containing 1609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is one of (Vernonia zollingerianoides, Vernonia wetarensis, Vernonia walshae, Vernonia timorensis, Vernonia tengwallii, Vernonia sumbavensis, Vernonia subtilis, Vernonia subdentata, Vernonia rupicola, Vernonia reinwardtiana, Vernonia pulgarensis, Vernonia phanerophlebia dulitensis, Vernonia phanerophlebia, Vernonia patentissima, Vernonia moluccensis, Vernonia mindanaensis, Vernonia luxuriosa, Vernonia lancifolia, Vernonia lamii, Vernonia kabaensis, Vernonia junghuhniana, Vernonia glandulifolia, Vernonia forbesii, Vernonia fimbrillata, Vernonia elmeri, Vernonia durifolia, Vernonia cymosa teysmanniana, Vernonia cymosa tenggerensis, Vernonia cymosa incana, Vernonia cymosa eupatorioides, Vernonia cymosa, Vernonia coerulea glabrata, Vernonia coerulea, Vernonia cinerea obtusa, Vernonia bontocensis, Vernonia benguetensis, Vernonia apoensis, Vernonia amboinensis, Vernonia albifolia, Vernonia actaea, Tarlmounia elliptica, Struchium sparganophorum, Strobocalyx vidalii, Strobocalyx solanifolia, Strobocalyx arborea, Stokesia laevis, Rolandra fruticosa, Pseudelephantopus spicatus, Phyllocephalum frutescens, Vernonia curtisii, Koyamasia curtisii, Gymnanthemum grande, Gymnanthemum coloratum, Ethulia triflora, Ethulia megacephala, Ethulia luzonica, Ethulia conyzoides, Elephantopus tomentosus, Elephantopus scaber, Elephantopus mollis, Decaneuropsis vagans, Decaneuropsis philippinensis, Decaneuropsis obovata, Decaneuropsis cumingiana, Decaneuropsis blanda, Cyanthillium patulum, Cyanthillium montanum, Cyanthillium cinereum parviflorum, Cyanthillium cinereum linifolium, Cyanthillium cinereum lanatum, Cyanthillium maritimum, Cyanthillium conyzoides, Cyanthillium cinereum, Centratherum punctatum)"
 ]
}

 The dataset includes 1609 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037321-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17844226
title: DIMAS: Dataset for In situ Measurements of Acoustic Samples

description: DIMAS provides structured in situ acoustic measurement data stored in HDF5 format. Each file contains impulse responses, receiver coordinates, source position, and acquisition parameters, alongside contextual information such as sampling frequency, atmospheric conditions, hardware configuration, and measurement date. A consistent naming convention identifies key attributes of each scenario, and a companion PDF visually documents the setup.
DOI: 10.5281/zenodo.17844227
title: DIMAS: Dataset for In situ Measurements of Acoustic Samples

description: DIMAS provides structured in situ acoustic measurement data stored in HDF5 format. Each file contains impulse responses, receiver coordinates, source position, and acquisition parameters, alongside contextual information such as sampling frequency, atmospheric conditions, hardware configuration, and measurement date. A consistent naming convention identifies key attributes of each scenario, and a companion PDF visually documents the setup.
DOI: 10.17632/8hx28b2vs8
title: Benchmarking Large Language Models for Automated Library Migration in Go Programming

description: Benchmark dataset and executable tests for the paper submission.
DOI: 10.17632/8hx28b2vs8.1
title: Benchmarking Large Language Models for Automated Library Migration in Go Programming

description: Benchmark dataset and executable tests for the paper submission.
DOI: 10.15468/dl.6rbdr3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.862 -1.136818, 112.791723 -1.142384, 112.723176 -1.158945, 112.658045 -1.186094, 112.597934 -1.223161, 112.544322 -1.269236, 112.498529 -1.323184, 112.461683 -1.383676, 112.43469 -1.449225, 112.418218 -1.518216, 112.412671 -1.588951, 112.418187 -1.659688, 112.434633 -1.728686, 112.461603 -1.794245, 112.498436 -1.854751, 112.544224 -1.908714, 112.597841 -1.954803, 112.657966 -1.991885, 112.723118 -2.019044, 112.791693 -2.035612, 112.862 -2.04118, 112.932307 -2.035612, 113.000882 -2.019044, 113.066034 -1.991885, 113.126159 -1.954803, 113.179776 -1.908714, 113.225564 -1.854751, 113.262397 -1.794245, 113.289367 -1.728686, 113.305813 -1.659688, 113.311329 -1.588951, 113.305782 -1.518216, 113.28931 -1.449225, 113.262317 -1.383676, 113.225471 -1.323184, 113.179678 -1.269236, 113.126066 -1.223161, 113.065955 -1.186094, 113.000824 -1.158945, 112.932277 -1.142384, 112.862 -1.136818))"},{"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/0037320-251120083545085/datasets/export for details.
DOI: 10.17632/6z34kc9ncm.1
title: Supplemental Material:A Case of Delayed-Onset Postoperative Pyoderma Gangrenosum Complicated with Chronic Myelomonocytic Leukemia Treated with Spesolimab

description: This dataset contains clinical data from a 63-year-old male patient who developed delayed-onset pyoderma gangrenosum (PG) following laparoscopic inguinal hernia repair and was subsequently diagnosed with chronic myelomonocytic leukemia (CMML). The dataset documents the patient's clinical presentation, laboratory findings, histopathological images, a detailed therapeutic timeline (including antibiotics, corticosteroids, and the IL-36 receptor monoclonal antibody spesolimab), and comparative wound images before and after treatment. This case illustrates the potential role of the IL-36 pathway in the pathogenesis of PG associated with CMML and demonstrates the therapeutic outcome of targeted intervention.
DOI: 10.17632/6gwvpn922b
title: Epigenetic analysis of sheep Mycoplasma pneumonia and the effect of FOXF1 on Mycoplasma ovipneumoniae infection

description: Mycoplasma pneumonia (MP), as a global infectious disease in sheep, seriously affects the production performance of sheep and economic benefits of sheep industry. However, current research on sheep resistance to MP is still very limited. To fill the knowledge gap on sheep resistance to MP and explore potential epigenetic control, this study used high-throughput sequencing (ATAC-Seq and CUT&Tag) to analyze the epigenetics of healthy and pneumonia-affected sheep lungs based on previously identified MP phenotypes, revealing chromatin accessibility differences. Integrating transcriptome analysis related to MP and genome-wide association studies (GWAS), FOXF1 was identified as a candidate gene for MP-resistance in sheep. We established a Mycoplasma ovipneumoniae (MO)-infected sheep alveolar epithelial cell model and regulated FOXF1 expression in cells through interference and overexpression techniques to study MO's adhesion damage. The results showed that activation promoters or enhancer elements in FOXF1 introns of healthy lungs may enhance its transcription. FOXF1 overexpression reduced MO-mediated adhesion damage to cells, while knock-down increased it. Our work has enriched the gene pool for anti-pneumonia and studied the role of the FOXF1 gene in MO-infected cells, accumulating reliable genetic resources for sheep MP disease resistant breeding.
DOI: 10.17632/6gwvpn922b.2
title: Epigenetic analysis of sheep Mycoplasma pneumonia and the effect of FOXF1 on Mycoplasma ovipneumoniae infection

description: Mycoplasma pneumonia (MP), as a global infectious disease in sheep, seriously affects the production performance of sheep and economic benefits of sheep industry. However, current research on sheep resistance to MP is still very limited. To fill the knowledge gap on sheep resistance to MP and explore potential epigenetic control, this study used high-throughput sequencing (ATAC-Seq and CUT&Tag) to analyze the epigenetics of healthy and pneumonia-affected sheep lungs based on previously identified MP phenotypes, revealing chromatin accessibility differences. Integrating transcriptome analysis related to MP and genome-wide association studies (GWAS), FOXF1 was identified as a candidate gene for MP-resistance in sheep. We established a Mycoplasma ovipneumoniae (MO)-infected sheep alveolar epithelial cell model and regulated FOXF1 expression in cells through interference and overexpression techniques to study MO's adhesion damage. The results showed that activation promoters or enhancer elements in FOXF1 introns of healthy lungs may enhance its transcription. FOXF1 overexpression reduced MO-mediated adhesion damage to cells, while knock-down increased it. Our work has enriched the gene pool for anti-pneumonia and studied the role of the FOXF1 gene in MO-infected cells, accumulating reliable genetic resources for sheep MP disease resistant breeding.
DOI: 10.15468/dl.wpf92g
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indirana leithii"
 ]
}

 The dataset includes 229 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/sw6h3556sw
title: FERRAMENTAS DE APOIO À LOGÍSTÍCA PARA PEQUENAS EMPRESAS - Fábrica de Salgados - Logística e Cadeia de Suprimentos

description: Projeto realizado a partir de dados fornecidos por uma pequena empresa fabricante de salgados sobre a sua cadeia de produção e logística. Este material foi gerado a partir da disciplina de Logística e Cadeia de Suprimentos do Curso de Graduação em Administração da UTFPR, campus Curitiba. O material poderá ser reutilizado por estudantes e pequenas empresas que necessitem de ferramentas de apoio à logística.
DOI: 10.17632/sw6h3556sw.1
title: FERRAMENTAS DE APOIO À LOGÍSTÍCA PARA PEQUENAS EMPRESAS - Fábrica de Salgados - Logística e Cadeia de Suprimentos

description: Projeto realizado a partir de dados fornecidos por uma pequena empresa fabricante de salgados sobre a sua cadeia de produção e logística. Este material foi gerado a partir da disciplina de Logística e Cadeia de Suprimentos do Curso de Graduação em Administração da UTFPR, campus Curitiba. O material poderá ser reutilizado por estudantes e pequenas empresas que necessitem de ferramentas de apoio à logística.
DOI: 10.34740/kaggle/dsv/14059688
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/5dvkmgbf7f
title: The Electronic Nose Dataset for Traditional Chinese Baijiu with Edible Alcohol

description: 10 test samples with different compositions are prepared with a volume of 80 mL. The Baijiu of Huanggai Fenjiu (53%vol, SHANXI XINGHUACUN FENJIU DISTILLERY CO., LTD.) and Maotai Yingbinjiu (53%vol, KWEICHOW MOUTAI CO., LTD.) were selected as the raw samples, which both conformed to the Chinese national standard of GB/T 10781. The edible alcohol was diluted to 53%vol by the purified water. Class 1–Class 5 represent the mixtures of Huanggai Fenjiu and edible alcohol, and Class 6–Class 10 represent the mixtures of Maotai Yingbinjiu and edible alcohol. The gas sensors of TGS2600, TGS2602, TGS2603, TGS2610, TGS2611 and TGS2620 from FIGARO were used to obtain the gas sensing data.
DOI: 10.17632/5dvkmgbf7f.1
title: The Electronic Nose Dataset for Traditional Chinese Baijiu with Edible Alcohol

description: 10 test samples with different compositions are prepared with a volume of 80 mL. The Baijiu of Huanggai Fenjiu (53%vol, SHANXI XINGHUACUN FENJIU DISTILLERY CO., LTD.) and Maotai Yingbinjiu (53%vol, KWEICHOW MOUTAI CO., LTD.) were selected as the raw samples, which both conformed to the Chinese national standard of GB/T 10781. The edible alcohol was diluted to 53%vol by the purified water. Class 1–Class 5 represent the mixtures of Huanggai Fenjiu and edible alcohol, and Class 6–Class 10 represent the mixtures of Maotai Yingbinjiu and edible alcohol. The gas sensors of TGS2600, TGS2602, TGS2603, TGS2610, TGS2611 and TGS2620 from FIGARO were used to obtain the gas sensing data.
DOI: 10.17632/yvn6vs8d6j
title: Impact of Acupuncture Therapy on Pregnancy Outcomes of Patients with the First Frozen-Thawed Embryo Transfer: A Retrospective Cohort Study

description: Impact of Acupuncture Therapy on Pregnancy Outcomes of Patients with the First Frozen-Thawed Embryo Transfer: A Retrospective Cohort Study
DOI: 10.17632/yvn6vs8d6j.1
title: Impact of Acupuncture Therapy on Pregnancy Outcomes of Patients with the First Frozen-Thawed Embryo Transfer: A Retrospective Cohort Study

description: Impact of Acupuncture Therapy on Pregnancy Outcomes of Patients with the First Frozen-Thawed Embryo Transfer: A Retrospective Cohort Study
DOI: 10.15468/dl.v69wcp
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sminthopsis butleri",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 127 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037323-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4vbmfj4ksf.4
title: EM Replicate

description: This is a copy of the program and data from the paper Supply chain digitalization and corporate innovation: Evidence from China.
DOI: 10.15468/dl.q4vvzy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyeliasona kirkegaardi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037325-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhbkc5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.204 -1.134818, 103.133723 -1.140384, 103.065176 -1.156945, 103.000045 -1.184094, 102.939934 -1.221161, 102.886322 -1.267236, 102.840529 -1.321184, 102.803683 -1.381677, 102.776691 -1.447225, 102.760218 -1.516216, 102.754671 -1.586951, 102.760188 -1.657688, 102.776633 -1.726686, 102.803604 -1.792245, 102.840436 -1.852751, 102.886224 -1.906714, 102.939841 -1.952803, 102.999966 -1.989885, 103.065118 -2.017044, 103.133693 -2.033612, 103.204 -2.03918, 103.274307 -2.033612, 103.342882 -2.017044, 103.408034 -1.989885, 103.468159 -1.952803, 103.521776 -1.906714, 103.567564 -1.852751, 103.604396 -1.792245, 103.631367 -1.726686, 103.647812 -1.657688, 103.653329 -1.586951, 103.647782 -1.516216, 103.631309 -1.447225, 103.604317 -1.381677, 103.567471 -1.321184, 103.521678 -1.267236, 103.468066 -1.221161, 103.407955 -1.184094, 103.342824 -1.156945, 103.274277 -1.140384, 103.204 -1.134818))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037324-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yej7z
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sminthopsis douglasi",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 194 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037328-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jch83
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((13.02062 47.5358, 13.02862 47.5358, 13.02862 47.5438, 13.02062 47.5438, 13.02062 47.5358))"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037327-251120083545085/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.28882502.v2
title: Supplementary Tables for 'The feline oncogenome' study

description: Domestic cats and dogs are common household pets, with cancer a common cause of morbidity and mortality in these companion animals. Since the feline oncogenome remains uncharacterised, we sequenced 493 feline tumor-normal tissue pairs comprising 13 tumor types, focusing on the feline orthologs of ~1,000 human cancer genes. <i>TP53</i> was the most frequently mutated gene identified across all tumor types, and one of 31 driver genes identified. Together with identifying somatic copy number alterations, mutational signatures, viral sequences, and tumor-predisposing germline variants, our study provides a comprehensive picture of the feline oncogenome. Importantly, this study demonstrates key similarities with the human oncogenome, confirming the cat as a valuable model for comparative studies, and identifies potentially actionable mutations, which align with a ‘One Medicine’ approach. The files in this dataset are the Supplementary Tables to accompany the manuscript for this study.
DOI: 10.15468/dl.bcwpjh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.61 -1.119818, 102.539724 -1.125384, 102.471177 -1.141945, 102.406046 -1.169094, 102.345935 -1.206162, 102.292324 -1.252236, 102.246531 -1.306184, 102.209685 -1.366677, 102.182694 -1.432226, 102.166221 -1.501216, 102.160674 -1.571951, 102.166191 -1.642689, 102.182637 -1.711686, 102.209607 -1.777246, 102.246439 -1.837752, 102.292227 -1.891714, 102.345843 -1.937804, 102.405968 -1.974885, 102.47112 -2.002044, 102.539694 -2.018612, 102.61 -2.02418, 102.680306 -2.018612, 102.74888 -2.002044, 102.814032 -1.974885, 102.874157 -1.937804, 102.927773 -1.891714, 102.973561 -1.837752, 103.010393 -1.777246, 103.037363 -1.711686, 103.053809 -1.642689, 103.059326 -1.571951, 103.053779 -1.501216, 103.037306 -1.432226, 103.010315 -1.366677, 102.973469 -1.306184, 102.927676 -1.252236, 102.874065 -1.206162, 102.813954 -1.169094, 102.748823 -1.141945, 102.680276 -1.125384, 102.61 -1.119818))"},{"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/0037329-251120083545085/datasets/export for details.