cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gu39hy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.293 0.345185, 110.222736 0.339618, 110.154202 0.323053, 110.089086 0.295899, 110.028991 0.258825, 109.975397 0.212743, 109.929624 0.158788, 109.892798 0.098289, 109.865826 0.032734, 109.849372 -0.03626, 109.843842 -0.106997, 109.84937 -0.177733, 109.865822 -0.246728, 109.892793 -0.312283, 109.929617 -0.372784, 109.97539 -0.42674, 110.028985 -0.472823, 110.08908 -0.509898, 110.154198 -0.537052, 110.222734 -0.553617, 110.293 -0.559185, 110.363266 -0.553617, 110.431802 -0.537052, 110.49692 -0.509898, 110.557015 -0.472823, 110.61061 -0.42674, 110.656383 -0.372784, 110.693207 -0.312283, 110.720178 -0.246728, 110.73663 -0.177733, 110.742158 -0.106997, 110.736628 -0.03626, 110.720174 0.032734, 110.693202 0.098289, 110.656376 0.158788, 110.610603 0.212743, 110.557009 0.258825, 110.496914 0.295899, 110.431798 0.323053, 110.363264 0.339618, 110.293 0.345185))"},{"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/0001223-260120142942310/datasets/export for details.
DOI: 10.15468/dl.p8ng6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.358 3.977165, 113.287569 3.971596, 113.218875 3.955024, 113.153611 3.927859, 113.093388 3.890771, 113.039688 3.844673, 112.993834 3.790703, 112.956954 3.730191, 112.929957 3.664627, 112.913503 3.595627, 112.907997 3.524891, 112.91357 3.45416, 112.930084 3.385175, 112.95713 3.319635, 112.99404 3.259152, 113.039905 3.205215, 113.093594 3.159151, 113.153787 3.122092, 113.219003 3.094951, 113.287636 3.078395, 113.358 3.07283, 113.428364 3.078395, 113.496997 3.094951, 113.562213 3.122092, 113.622406 3.159151, 113.676095 3.205215, 113.72196 3.259152, 113.75887 3.319635, 113.785916 3.385175, 113.80243 3.45416, 113.808003 3.524891, 113.802497 3.595627, 113.786043 3.664627, 113.759046 3.730191, 113.722166 3.790703, 113.676312 3.844673, 113.622612 3.890771, 113.562389 3.927859, 113.497125 3.955024, 113.428431 3.971596, 113.358 3.977165))"},{"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/0001224-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18320500
title: Sommerfeltia cabrerae Chebat. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320501
title: Sommerfeltia cabrerae Chebat. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320485
title: Privacy and Security Risks in AI and Generative AI Systems: An Empirical Study of Practitioner Perceptions and Mitigation Practices in Brazil

description:  Context: The widespread adoption of Artificial Intelligence (AI) and, more recently, Generative AI (GenAI) systems has intensified privacy and security concerns in organizational settings. Beyond technical vulnerabilities, risks increasingly emerge from socio-technical factors involving user behavior, organizational governance, regulatory uncertainty, and the evolving threat landscape enabled by AI-based attacks.  Goal: This study aims to investigate privacy and security risks associated with the use of AI and GenAI systems, examining how these risks are perceived by practitioners, which mitigation strategies are adopted in practice, and what challenges limit their effectiveness in real-world organizational contexts. Method: We adopted a mixed-method research design combining a literature review with an empirical survey of 101 IT professionals working primarily in the Brazilian public sector. Quantitative data were analyzed using descriptive statistics to assess perceived risks, mitigation strategies, and challenges, while qualitative data from open-ended questions were analyzed using inductive coding to identify recurring themes and contextual factors.  Results: The results show that practitioners perceive privacy and security risks as highly critical, with data leakage, legal non-compliance, lack of transparency, prompt injection attacks, and malicious misuse of AI-generated content being rated as important or very important by most respondents. Although mitigation strategies such as avoiding sensitive data, anonymization, organizational policies, training, and technical controls are widely adopted, their effectiveness is perceived as limited. Qualitative findings reveal that risks are strongly shaped by governance gaps, low organizational maturity, insufficient training, shadow AI usage, lack of vendor transparency, and increasing AI-enabled cyber threats.  Conclusions : The findings indicate a significant gap between the adoption of mitigation strategies and practitioners’ confidence in their effectiveness. Privacy and security risks in AI and GenAI systems are inherently socio-technical and cannot be adequately addressed through technical controls alone. Effective risk management requires integrated approaches that combine technical safeguards with organizational governance, regulatory alignment, training, and cultural change to support trustworthy AI adoption.\end{abstract}
DOI: 10.5281/zenodo.18320484
title: Privacy and Security Risks in AI and Generative AI Systems: An Empirical Study of Practitioner Perceptions and Mitigation Practices in Brazil

description:  Context: The widespread adoption of Artificial Intelligence (AI) and, more recently, Generative AI (GenAI) systems has intensified privacy and security concerns in organizational settings. Beyond technical vulnerabilities, risks increasingly emerge from socio-technical factors involving user behavior, organizational governance, regulatory uncertainty, and the evolving threat landscape enabled by AI-based attacks.  Goal: This study aims to investigate privacy and security risks associated with the use of AI and GenAI systems, examining how these risks are perceived by practitioners, which mitigation strategies are adopted in practice, and what challenges limit their effectiveness in real-world organizational contexts. Method: We adopted a mixed-method research design combining a literature review with an empirical survey of 101 IT professionals working primarily in the Brazilian public sector. Quantitative data were analyzed using descriptive statistics to assess perceived risks, mitigation strategies, and challenges, while qualitative data from open-ended questions were analyzed using inductive coding to identify recurring themes and contextual factors.  Results: The results show that practitioners perceive privacy and security risks as highly critical, with data leakage, legal non-compliance, lack of transparency, prompt injection attacks, and malicious misuse of AI-generated content being rated as important or very important by most respondents. Although mitigation strategies such as avoiding sensitive data, anonymization, organizational policies, training, and technical controls are widely adopted, their effectiveness is perceived as limited. Qualitative findings reveal that risks are strongly shaped by governance gaps, low organizational maturity, insufficient training, shadow AI usage, lack of vendor transparency, and increasing AI-enabled cyber threats.  Conclusions : The findings indicate a significant gap between the adoption of mitigation strategies and practitioners’ confidence in their effectiveness. Privacy and security risks in AI and GenAI systems are inherently socio-technical and cannot be adequately addressed through technical controls alone. Effective risk management requires integrated approaches that combine technical safeguards with organizational governance, regulatory alignment, training, and cultural change to support trustworthy AI adoption.\end{abstract}
DOI: 10.15468/dl.bdaf9a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.029 0.349185, 110.958736 0.343618, 110.890202 0.327053, 110.825086 0.299899, 110.764991 0.262825, 110.711397 0.216743, 110.665624 0.162788, 110.628798 0.102288, 110.601826 0.036734, 110.585372 -0.03226, 110.579842 -0.102997, 110.58537 -0.173733, 110.601822 -0.242729, 110.628793 -0.308283, 110.665618 -0.368784, 110.711391 -0.42274, 110.764985 -0.468823, 110.82508 -0.505898, 110.890198 -0.533052, 110.958734 -0.549617, 111.029 -0.555185, 111.099266 -0.549617, 111.167802 -0.533052, 111.23292 -0.505898, 111.293015 -0.468823, 111.346609 -0.42274, 111.392382 -0.368784, 111.429207 -0.308283, 111.456178 -0.242729, 111.47263 -0.173733, 111.478158 -0.102997, 111.472628 -0.03226, 111.456174 0.036734, 111.429202 0.102288, 111.392376 0.162788, 111.346603 0.216743, 111.293009 0.262825, 111.232914 0.299899, 111.167798 0.327053, 111.099264 0.343618, 111.029 0.349185))"},{"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/0001225-260120142942310/datasets/export for details.
DOI: 10.15468/dl.m6m3mg
title: Occurrence Download

description: A dataset containing 330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-119.11609 43.44968,-115.52826 43.44968,-115.52826 46.49547,-119.11609 46.49547,-119.11609 43.44968))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochotona princeps"
 ]
}

 The dataset includes 330 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001226-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v9r5z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.744 3.977165, 113.673569 3.971596, 113.604875 3.955024, 113.539611 3.927859, 113.479388 3.890771, 113.425688 3.844673, 113.379834 3.790703, 113.342954 3.730191, 113.315957 3.664627, 113.299503 3.595627, 113.293997 3.524891, 113.29957 3.45416, 113.316084 3.385175, 113.34313 3.319635, 113.38004 3.259152, 113.425905 3.205215, 113.479594 3.159151, 113.539787 3.122092, 113.605003 3.094951, 113.673636 3.078395, 113.744 3.07283, 113.814364 3.078395, 113.882997 3.094951, 113.948213 3.122092, 114.008406 3.159151, 114.062095 3.205215, 114.10796 3.259152, 114.14487 3.319635, 114.171916 3.385175, 114.18843 3.45416, 114.194003 3.524891, 114.188497 3.595627, 114.172043 3.664627, 114.145046 3.730191, 114.108166 3.790703, 114.062312 3.844673, 114.008612 3.890771, 113.948389 3.927859, 113.883125 3.955024, 113.814431 3.971596, 113.744 3.977165))"},{"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/0001227-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18318234
title: Sporobolus pyramidatus (Lam.) Hitchc. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18318235
title: Sporobolus pyramidatus (Lam.) Hitchc. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320511
title: Utricularia platensis Speg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18320512
title: Utricularia platensis Speg. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18319714
title: Trema Lour. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18319713
title: Trema Lour. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.aegpcb
title: Occurrence Download

description: A dataset containing 785 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.98 3.979165, 101.909569 3.973596, 101.840874 3.957024, 101.775611 3.929859, 101.715387 3.892771, 101.661687 3.846673, 101.615833 3.792703, 101.578954 3.732191, 101.551956 3.666627, 101.535502 3.597627, 101.529996 3.526891, 101.535569 3.45616, 101.552084 3.387175, 101.579129 3.321635, 101.61604 3.261152, 101.661904 3.207215, 101.715594 3.161151, 101.775787 3.124092, 101.841002 3.096951, 101.909636 3.080395, 101.98 3.07483, 102.050364 3.080395, 102.118998 3.096951, 102.184213 3.124092, 102.244406 3.161151, 102.298096 3.207215, 102.34396 3.261152, 102.380871 3.321635, 102.407916 3.387175, 102.424431 3.45616, 102.430004 3.526891, 102.424498 3.597627, 102.408044 3.666627, 102.381046 3.732191, 102.344167 3.792703, 102.298313 3.846673, 102.244613 3.892771, 102.184389 3.929859, 102.119126 3.957024, 102.050431 3.973596, 101.98 3.979165))"},{"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 785 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001229-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18320517
title: Vicia pampicola var. burkartii Giang. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18320518
title: Vicia pampicola var. burkartii Giang. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.hf9dk6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.048 0.350185, 99.97773599999999 0.344618, 99.90920199999999 0.328053, 99.844086 0.300899, 99.783991 0.263825, 99.730397 0.217743, 99.684624 0.163788, 99.64779799999999 0.103288, 99.62082599999999 0.037734, 99.604372 -0.03126, 99.598842 -0.101997, 99.60437 -0.172733, 99.620822 -0.241729, 99.64779299999999 -0.307283, 99.684618 -0.367784, 99.730391 -0.42174, 99.783985 -0.467823, 99.844081 -0.504898, 99.909198 -0.532052, 99.977734 -0.548617, 100.048 -0.554185, 100.118266 -0.548617, 100.186802 -0.532052, 100.251919 -0.504898, 100.312015 -0.467823, 100.365609 -0.42174, 100.411382 -0.367784, 100.448207 -0.307283, 100.475178 -0.241729, 100.49163 -0.172733, 100.497158 -0.101997, 100.491628 -0.03126, 100.475174 0.037734, 100.448202 0.103288, 100.411376 0.163788, 100.365603 0.217743, 100.312009 0.263825, 100.251914 0.300899, 100.186798 0.328053, 100.118264 0.344618, 100.048 0.350185))"},{"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 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001228-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18320523
title: Trichanthecium schwackeanum (Mez) Zuloaga & Morrone. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18320524
title: Trichanthecium schwackeanum (Mez) Zuloaga & Morrone. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.xggtfr
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.69 4.011165, 102.619566 4.005595, 102.550869 3.989024, 102.485603 3.961859, 102.425377 3.92477, 102.371675 3.878673, 102.325819 3.824702, 102.288939 3.76419, 102.26194 3.698626, 102.245487 3.629626, 102.23998 3.55889, 102.245554 3.488159, 102.262069 3.419174, 102.289117 3.353634, 102.326028 3.293152, 102.371894 3.239215, 102.425586 3.193151, 102.485781 3.156092, 102.550998 3.128951, 102.619634 3.112395, 102.69 3.106831, 102.760366 3.112395, 102.829002 3.128951, 102.894219 3.156092, 102.954414 3.193151, 103.008106 3.239215, 103.053972 3.293152, 103.090883 3.353634, 103.117931 3.419174, 103.134446 3.488159, 103.14002 3.55889, 103.134513 3.629626, 103.11806 3.698626, 103.091061 3.76419, 103.054181 3.824702, 103.008325 3.878673, 102.954623 3.92477, 102.894397 3.961859, 102.829131 3.989024, 102.760434 4.005595, 102.69 4.011165))"},{"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 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001230-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff2qn5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.298 0.352185, 101.227736 0.346618, 101.159202 0.330053, 101.094086 0.302899, 101.033991 0.265825, 100.980397 0.219743, 100.934624 0.165788, 100.897798 0.105288, 100.870826 0.039734, 100.854372 -0.02926, 100.848842 -0.099997, 100.85437 -0.170734, 100.870822 -0.239729, 100.897793 -0.305283, 100.934618 -0.365784, 100.980391 -0.41974, 101.033985 -0.465823, 101.094081 -0.502898, 101.159198 -0.530052, 101.227734 -0.546617, 101.298 -0.552185, 101.368266 -0.546617, 101.436802 -0.530052, 101.501919 -0.502898, 101.562015 -0.465823, 101.615609 -0.41974, 101.661382 -0.365784, 101.698207 -0.305283, 101.725178 -0.239729, 101.74163 -0.170734, 101.747158 -0.099997, 101.741628 -0.02926, 101.725174 0.039734, 101.698202 0.105288, 101.661376 0.165788, 101.615603 0.219743, 101.562009 0.265825, 101.501914 0.302899, 101.436798 0.330053, 101.368264 0.346618, 101.298 0.352185))"},{"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/0001231-260120142942310/datasets/export for details.
DOI: 10.15468/dl.r4xquh
title: Occurrence Download

description: A dataset containing 27618272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthozoa"
 ]
}

 The dataset includes 27618272 records from 1813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001202-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.