cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jjn2jj
title: Occurrence Download

description: A dataset containing 141444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 141444 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022265-250525065834625/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.27258013
title: The interplay of dietary mycotoxins and oncogenic viruses toward human carcinogenesis: a scoping review

description: Mycotoxins, fungal metabolites prevalent in many foods, are recognized for their role in carcinogenesis, especially when interacting with oncogenic viruses. This scoping review synthesizes current evidence on the human cancer risk associated with mycotoxin exposure and oncogenic virus infections. Searches were conducted on PubMed, Embase, and Web of Science. Studies were selected based on the PECOS framework. Data extraction involved narrative and qualitative presentation of findings, with meta-analysis where feasible. Risk of bias and outcome quality were assessed using the OHAT tool and GRADE approach. From 25 included studies, 18 focused on aflatoxins and hepatitis viruses in hepatocellular carcinoma (HCC). Four studies examined aflatoxin B1 (AFB1) and human papilloma virus (HPV) in cervical cancer, while three investigated AFB1 with Epstein-Barr virus (EBV) in lymphomagenesis. The review highlights a significant synergistic effect between AFB1 and hepatitis B and C viruses in HCC development. Significant interactions between AFB1 and HPV, as well as AFB1 and EBV, were observed, but further research is needed. The synergistic impact of mycotoxins and oncogenic viruses is a critical public health concern. Future research, especially prospective cohort studies and investigations into molecular mechanisms, is essential to address this complex issue.
DOI: 10.6084/m9.figshare.30009286
title: Allegro-MP-L-0.1-2025-08-26-wbm-IS2RE-GOQN.jsonl.gz

description: WBM structural predictions
DOI: 10.6084/m9.figshare.30009286.v1
title: Allegro-MP-L-0.1-2025-08-26-wbm-IS2RE-GOQN.jsonl.gz

description: WBM structural predictions
DOI: 10.5284/1135483
title: Digital Archive from an Archaeological Evaluation at Plot 113, Great Haddon, Peterborough, Cambridgeshire, April 2020

description: This collection consists of site images and records, a report, and GIS data from an archaeological evaluation at Plot 113, Great Haddon, Peterborough, Cambridgeshire. Works were undertaken by Oxford Archaeology East between the 14th and 21st April, 2020. Only modern consolidation layers and a large construction pit were revealed during the evaluation. No finds were recovered.
DOI: 10.6084/m9.figshare.30009253
title: <b>Dataset: Comparative Extraction Data for LC–MS/MS Quantification of Synthetic Cannabinoids in Human Blood (2025)</b>

description: This dataset supports a study evaluating <b>three extraction techniques—solid-phase extraction (SPE), liquid–liquid extraction (LLE), and QuEChERS—for LC–MS/MS quantification of five synthetic cannabinoids (JWH-018, JWH-073, AM-2201, UR-144, and XMR-011) in human blood</b>.The repository includes three main components:<b>Excel File (.xlsx)</b>Contains both <b>raw and processed data</b>, including:<b>Raw chromatographic values</b>: <code>RetentionTime</code>, <code>PeakArea</code> for all analytes.<b>Calibration curves</b>: concentration vs. peak area with regression equations and R².<b>LOD and LOQ calculations</b>: derived from calibration data (σ/S method).<b>Comparative chromatograms</b>: simulated plots for SPE, LLE, and QuEChERS extractions.<b>Performance metrics</b>: Recovery %, Matrix Effect %<b>SPSS Data File (.sav)</b>Same variables formatted for direct statistical analysis.Facilitates GLM, ANOVA, and descriptive statistics replication.<b>SPSS Output File (.spv / exported tables)</b>Contains results of statistical tests.Key outputs:Tests of Between-Subjects EffectsPairwise comparisons between extraction methodsBoxplots and bar charts (generated in SPSS)
DOI: 10.6084/m9.figshare.30009253.v1
title: <b>Dataset: Comparative Extraction Data for LC–MS/MS Quantification of Synthetic Cannabinoids in Human Blood (2025)</b>

description: This dataset supports a study evaluating <b>three extraction techniques—solid-phase extraction (SPE), liquid–liquid extraction (LLE), and QuEChERS—for LC–MS/MS quantification of five synthetic cannabinoids (JWH-018, JWH-073, AM-2201, UR-144, and XMR-011) in human blood</b>.The repository includes three main components:<b>Excel File (.xlsx)</b>Contains both <b>raw and processed data</b>, including:<b>Raw chromatographic values</b>: <code>RetentionTime</code>, <code>PeakArea</code> for all analytes.<b>Calibration curves</b>: concentration vs. peak area with regression equations and R².<b>LOD and LOQ calculations</b>: derived from calibration data (σ/S method).<b>Comparative chromatograms</b>: simulated plots for SPE, LLE, and QuEChERS extractions.<b>Performance metrics</b>: Recovery %, Matrix Effect %<b>SPSS Data File (.sav)</b>Same variables formatted for direct statistical analysis.Facilitates GLM, ANOVA, and descriptive statistics replication.<b>SPSS Output File (.spv / exported tables)</b>Contains results of statistical tests.Key outputs:Tests of Between-Subjects EffectsPairwise comparisons between extraction methodsBoxplots and bar charts (generated in SPSS)
DOI: 10.15468/dl.g4ga48
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((19.5797 31.1722,19.1382 30.7949,19.1382 29.0599,28.1382 29.0599,28.1382 31.6271,27.0568 31.9369,25.941 32.1276,25.5225 32.0458,25.172 32.4321,23.6289 32.6801,23.3344 33.0794,22.2903 33.4173,21.7076 33.4407,20.3542 32.9952,19.684 32.4793,19.4254 31.8299,19.5797 31.1722))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006668-250827131500795/datasets/export for details.
DOI: 10.25416/edgehill.30002962
title: <b>Anonymised datasets for the Learn!Bio study (2020-2023) by Andrews, Stoneley, and Eckl</b>

description: These are the anonymised and coded datasets for the Learn!Bio study 2020-2023 (studies S1- S4). Identifiable questions and answers have been removed including all direct quotes from students. This dataset was generated through download from a JISC online survey. Please refer to the detailed questionnaires (see link below) for questions and answer structures and resulting coding options. Data coding is explained in the methods section of the manuscript (to be published shortly). For participant information, please refer to the manuscript (table 1 and table 2, respectively).For further questions please consult the corresponding author (katja.eckl@edgehill.ac.uk).The link to the detailed questionnaires can be found below.<br>
DOI: 10.25416/edgehill.30002962.v1
title: <b>Anonymised datasets for the Learn!Bio study (2020-2023) by Andrews, Stoneley, and Eckl</b>

description: These are the anonymised and coded datasets for the Learn!Bio study 2020-2023 (studies S1- S4). Identifiable questions and answers have been removed including all direct quotes from students. This dataset was generated through download from a JISC online survey. Please refer to the detailed questionnaires (see link below) for questions and answer structures and resulting coding options. Data coding is explained in the methods section of the manuscript (to be published shortly). For participant information, please refer to the manuscript (table 1 and table 2, respectively).For further questions please consult the corresponding author (katja.eckl@edgehill.ac.uk).The link to the detailed questionnaires can be found below.<br>
DOI: 10.5281/zenodo.16992471
title: Solar Neutrinos to rule out LMAD in muon and tau sector data

description: See readme file inside.
DOI: 10.5281/zenodo.16992470
title: Solar Neutrinos to rule out LMAD in muon and tau sector data

description: See readme file inside.
DOI: 10.57745/5ktij4
title: BDD_TYPO_PL_Métadonnées.csv

description: :unav
DOI: 10.57745/a0hsgp
title: BDD_TYPO_ENG_Métadonnées.csv

description: :unav
DOI: 10.57745/zc5ild
title: BDD_TYPO_CARC_Métadonnées.csv

description: :unav
DOI: 10.57745/kgdpvf
title: BDD_TYPO_CARC_Données.csv

description: :unav
DOI: 10.57745/mmi8m2
title: BDD_TYPO_ENG_Données.csv

description: :unav
DOI: 10.57745/k3k0a8
title: BDD_TYPO_PL_Données.csv

description: :unav
DOI: 10.15468/dl.cv74v9
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Pakistan, Bhutan, Nepal, Afghanistan)",
 "Geometry POLYGON((96.41044 29.88817,94.41053 30.71851,89.92548 30.12986,83.71418 31.71528,82.08257 32.21565,79.10668 36.25718,75.17743 37.17404,71.49864 36.57423,73.25909 34.75717,73.23731 34.62027,73.32599 34.26091,73.80358 34.1349,73.88759 33.93422,73.98219 33.59626,74.0662 33.39558,74.01019 33.15911,74.40845 32.95999,74.80359 32.99732,74.74758 32.90243,75.14273 32.50417,75.60943 32.41083,75.73856 31.93323,76.11192 31.3623,76.53973 30.9796,76.90781 30.74946,77.54408 30.33098,78.14387 30.30538,78.40833 30.10626,78.97149 29.37975,79.06639 29.34242,79.24063 29.24285,79.55643 28.81815,80.13798 28.33372,80.51691 28.06255,80.65424 28.22768,80.97929 28.39108,81.24698 28.0469,81.3252 27.89046,81.39299 27.90958,81.43471 27.99823,82.74541 27.53594,83.08969 27.61188,83.68713 27.5815,83.97573 27.32329,84.16965 27.23946,84.57823 27.29291,85.33769 27.00432,85.99589 26.89799,86.46675 26.66509,86.79079 26.58408,87.21102 26.67522,87.80016 26.63934,88.14769 26.5132,88.71981 26.61952,89.38307 26.49295,89.92989 26.12334,90.15266 26.38156,90.19823 26.56889,91.04882 26.62459,91.85067 26.84805,92.87847 26.7316,93.74425 26.99995,97.72177 28.56164,96.41044 29.88817))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus cerasoides"
 ]
}

 The dataset includes 107 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006671-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sc4a9h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 20.0599,19.1382 20.0599,19.1382 11.0599,28.1382 11.0599,28.1382 20.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006672-250827131500795/datasets/export for details.
DOI: 10.15468/dl.crgj7v
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Specimen-based records and geographic locations of brittle stars (Echinodermata) collected from Sagami Bay"
 ]
}

 The dataset includes 695 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006673-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25416/edgehill.25260337
title: <b><i>Learn!Bio Study:</i></b> Surveys S1-S4 - questionnaires (2020-2023) by Andrews, Stoneley, and Eckl.

description: Higher education in biosciences is significantly informed by hands-on field trips and practical laboratory skills-training. With the first Covid-19 national lock-down in England in March 2020, on-campus education at higher education institutions was swiftly moved to alternative provisions, including online only options, a mix of synchronous or asynchronous blended, or hybrid adaptions. Students enrolled on an undergraduate bioscience programme have been faced with unprecedented changes and interruptions to their education.
Bioscience undergraduate students in years 1-3 at the biology department at a Northwest English university participated in an anonymous, cross-sectional, mixed-method study with open and closed questions evaluating their perception and feedback to remote and blended learning provisions during the Covid-19 pandemic and post pandemic learning capturing academic years 2019/20 to 2022/23. The results will be published shortly and a link will be provided here. 
Our results show that bioscience students can experience poor mental health while developing resilience, indicating tailored support can aid students’ resilience performance. Students have adjusted with ease to digital teaching provisions and expect higher education institutions continue to offer both, face-to-face, and blended teaching, reducing the burden on students’ significantly risen living costs.
The four documents enclosed detail all open and closed questions and the respective order of appearance of each question in in each anonymous JISC online surveys S1-S4 during the Learn!Bio study from 2020-2023.
DOI: 10.25416/edgehill.25260337.v1
title: <b><i>Learn!Bio Study:</i></b> Surveys S1-S4 - questionnaires (2020-2023) by Andrews, Stoneley, and Eckl.

description: Higher education in biosciences is significantly informed by hands-on field trips and practical laboratory skills-training. With the first Covid-19 national lock-down in England in March 2020, on-campus education at higher education institutions was swiftly moved to alternative provisions, including online only options, a mix of synchronous or asynchronous blended, or hybrid adaptions. Students enrolled on an undergraduate bioscience programme have been faced with unprecedented changes and interruptions to their education.
Bioscience undergraduate students in years 1-3 at the biology department at a Northwest English university participated in an anonymous, cross-sectional, mixed-method study with open and closed questions evaluating their perception and feedback to remote and blended learning provisions during the Covid-19 pandemic and post pandemic learning capturing academic years 2019/20 to 2022/23. The results will be published shortly and a link will be provided here. 
Our results show that bioscience students can experience poor mental health while developing resilience, indicating tailored support can aid students’ resilience performance. Students have adjusted with ease to digital teaching provisions and expect higher education institutions continue to offer both, face-to-face, and blended teaching, reducing the burden on students’ significantly risen living costs.
The four documents enclosed detail all open and closed questions and the respective order of appearance of each question in in each anonymous JISC online surveys S1-S4 during the Learn!Bio study from 2020-2023.
DOI: 10.15468/dl.pary8y
title: Occurrence Download

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culex torrentium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Geometry POLYGON((-25 70, 40 70, 40 35, -25 35, -25 70))"
 ]
}

 The dataset includes 791 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006674-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuyruq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chiloglanis carnosus, Chiloglanis congicus, Chiloglanis deckenii, Chiloglanis devosi, Chiloglanis dialloi, Chiloglanis disneyi, Chiloglanis elisabethianus, Chiloglanis emarginatus, Chiloglanis fasciatus, Chiloglanis harbinger, Chiloglanis kabaensis, Chiloglanis kalambo, Chiloglanis kerioensis, Chiloglanis kolente, Chiloglanis lamottei, Chiloglanis loffabrevum, Chiloglanis longibarbis, Chiloglanis lufirae, Chiloglanis lukugae, Chiloglanis macropterus, Chiloglanis marlieri, Chiloglanis mbozi, Chiloglanis microps, Chiloglanis modjensis, Chiloglanis mongoensis, Chiloglanis neumanni, Chiloglanis niger, Chiloglanis niloticus, Chiloglanis normani, Chiloglanis nzerekore, Chiloglanis occidentalis, Chiloglanis paratus, Chiloglanis pezoldi, Chiloglanis pojeri, Chiloglanis polyodon, Chiloglanis polypogon, Chiloglanis pretoriae, Chiloglanis reticulatus, Chiloglanis rukwaensis, Chiloglanis ruziziensis, Chiloglanis sanagaensis, Chiloglanis sardinhai, Chiloglanis somereni, Chiloglanis swierstrai, Chiloglanis trilobatus, Chiloglanis tweddlei, Chiloglanis voltae, Chiloglanis waterloti, Chilotilapia euchilus, Chilotilapia rhoadesii, Chindongo ater, Chindongo bellicosus, Chindongo cyaneus, Chindongo demasoni, Chindongo flavus, Chindongo heteropictus, Maylandia heteropicta, Chindongo longior, Chindongo minutus, Chindongo saulosi, Chromidotilapia cavalliensis, Chromidotilapia elongata, Chromidotilapia guntheri, Chromidotilapia kingsleyae, Chromidotilapia linkei, Chromidotilapia mamonekenei, Chromidotilapia melaniae, Chromidotilapia mrac, Chromidotilapia nana, Chromidotilapia regani, Chromidotilapia schoutedeni, Chrysichthys aluuensis, Chrysichthys ansorgii, Chrysichthys auratus, Chrysichthys bocagii, Chrysichthys brachynema, Chrysichthys brevibarbis, Chrysichthys cranchii, Chrysichthys dageti, Chrysichthys delhezi, Chrysichthys dendrophorus, Chrysichthys duttoni, Chrysichthys furcatus, Chrysichthys nigrodigitatus, Chrysichthys grandis, Chrysichthys graueri, Chrysichthys habereri, Chrysichthys helicophagus, Chrysichthys hildae, Chrysichthys johnelsi, Chrysichthys laticeps, Chrysichthys levequei, Chrysichthys longibarbis, Chrysichthys longidorsalis, Chrysichthys longipinnis, Chrysichthys mabusi, Chrysichthys macropterus, Chrysichthys maurus, Chrysichthys nyongensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 29.0599,19.1382 29.0599,19.1382 20.0599,28.1382 20.0599,28.1382 29.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006675-250827131500795/datasets/export for details.