cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ea5dab
title: Occurrence Download

description: A dataset containing 459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (fee3882f-5360-4f01-a1ca-767c48fa629c, a3c228d0-3110-11db-abb8-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862, 9ae75ccd-0ee8-4dd4-a412-3bbcc3ed4b26, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 253fc67c-c7fb-4c85-88f5-43ac6d9dc8a9, 2e149736-4cc6-44d4-a068-ccb2041baf75)",
 "TaxonKey is Prunus serotina Ehrh."
 ]
}

 The dataset includes 459 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005970-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqyxwf
title: Occurrence Download

description: A dataset containing 24474 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bull Kelp Forest Ecosystem Monitoring Database, Northern California, 1971-2023"
 ]
}

 The dataset includes 24474 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005971-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu9nex
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Dalbergia assamica Benth.",
 "Year 2015-2025"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005972-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3p48d
title: Occurrence Download

description: A dataset containing 2794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Macrotyloma (Wight & Arn.) Verdc."
 ]
}

 The dataset includes 2794 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005973-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvxm96
title: Occurrence Download

description: A dataset containing 198932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 198932 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005962-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs35ar
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BOL.6.4.3_2, BOL.6.1.1_2, BOL.6.2.2_2, BOL.6.2.3_2)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 464 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005975-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcdvwy
title: Occurrence Download

description: A dataset containing 2436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelamis platura (Linnaeus, 1766)"
 ]
}

 The dataset includes 2436 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005974-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33udbm
title: Occurrence Download

description: A dataset containing 13271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Macrozamia Miq."
 ]
}

 The dataset includes 13271 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005978-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frfndd
title: Occurrence Download

description: A dataset containing 5541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Turdus nigriceps Cabanis, 1874"
 ]
}

 The dataset includes 5541 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005977-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93gc7y
title: Occurrence Download

description: A dataset containing 4463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Madhuca Buch.-Ham. ex J.F.Gmel."
 ]
}

 The dataset includes 4463 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005979-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.656kx4
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.21713 -47.17767,-15.78287 -47.17767,-15.78287 -11.82233,-104.21713 -11.82233,-104.21713 -47.17767))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Contomastix Harvey, Ugueto & Gutberlet Jr., 2012"
 ]
}

 The dataset includes 467 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005980-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bad2rp
title: Occurrence Download

description: A dataset containing 17907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Madia Molina"
 ]
}

 The dataset includes 17907 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005982-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95r3ge
title: Occurrence Download

description: A dataset containing 1643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Micropogonias furnieri (Desmarest, 1823)"
 ]
}

 The dataset includes 1643 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005981-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qavd7s
title: Occurrence Download

description: A dataset containing 140371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Regulus ignicapilla (Temminck, 1820)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 140371 records from 693 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005976-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.jap.28737872
title: Supplemental Material

description: supplementary material
DOI: 10.15468/dl.yx7vak
title: Occurrence Download

description: A dataset containing 74092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alnus glutinosa (L.) Gaertn.",
 "Year 1990-2025"
 ]
}

 The dataset includes 74092 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011152-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d3185
title: Dataset in support of the paper 'Examining how Generative AI tools benefit and challenge teachers' research-informed practice'

description: This dataset comprises of documents pertaining to a systematic review of literature on teachers' use of generative AI tools to find and use research evidence in their practice. These documents include a protocol for the systematic review, lists of included and excluded studies, inter-rater reliability calculations, data extraction documents, coding documents, and quality appraisal documents.

to be published in European Journal of Teacher Education
DOI: 10.5281/zenodo.15268537
title: Data from User Experience Analysis
DOI: 10.5281/zenodo.15268538
title: Data from User Experience Analysis
DOI: 10.15468/dl.nchmf5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 3f3967bf-ecc7-4455-ba89-4e0ab6d6fd3c",
 "TaxonKey is Fratercula arctica",
 "Year 1000-1950"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039032-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.57dcwz
title: Occurrence Download

description: A dataset containing 857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia hilliana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 857 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039033-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etzy4f
title: Occurrence Download

description: A dataset containing 111 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, genusKey, genus, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate, null)) AS minTemporalUncertainty FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND genusKey IN (2284443, 2202786, 2161911, 2161467, 7652364, 2176168, 3092125, 2771094, 8782549, 2457378, 2453882, 2457825, 2454645, 2465626, 2466496, 2459675, 2444141, 2444221, 2447418, 2441658, 2442664, 3266899, 2473221, 2445496, 5221394, 2443339, 4553469) AND countrycode = 'BE' AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND genusKey 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 (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL) AND COALESCE(coordinateUncertaintyInMeters, 1000) &lt;= 10000 GROUP BY "year", eeaCellCode, classKey, class, genusKey, genus ORDER BY "year" DESC, eeaCellCode ASC, genusKey ASC;

 The dataset's 111 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039022-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqgrsq
title: Occurrence Download

description: A dataset containing 2 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, familyKey, family, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate, null)) AS minTemporalUncertainty FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND countrycode = 'BE' AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND familyKey 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 (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL)AND familyKey IN (5666)AND COALESCE(coordinateUncertaintyInMeters, 1000) &lt;= 10000GROUP BY "year", eeaCellCode, classKey, class, familyKey, family ORDER BY "year" DESC, eeaCellCode ASC, familyKey ASC;

 The dataset's 2 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039021-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nemnf5
title: Occurrence Download

description: A dataset containing 838284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Verbascum thapsus, Fragaria iinumae, Annona glabra, Solanum laciniatum, Cercis chinensis, Gynostemma guangxiense, Lotus japonicus, Trifolium subterraneum, Asimina triloba, Corema album, Eucalyptus marginata, Hibiscus schizopetalus, Malus ombrophila, Portulaca oleracea, Triglochin palustris, Cucurbita ficifolia, Amorphophallus albus, Armeria pungens, Cicer arietinum, Cucurbita argyrosperma, Sporobolus maritimus, Trichosanthes cucumerina, Nelumbo nucifera, Rhododendron neriiflorum, Vigna unguiculata, Spirodela punctata, Avena brevis, Corchorus capsularis, Perilla frutescens, Prunus brigantina, Stylosanthes angustifolia, Trifolium occidentale, Salvia sclarea, Syzygium oleosum, Areca catechu, Cinchona calisaya, Ipomoea pes-caprae, Vitis riparia, Zoysia japonica, Dunnia sinensis, Emmenopterys henryi, Tormimalus florentina, Ischnosiphon puberulus, Mimosa pudica, Primula hirsuta, Kandelia obovata, Acaena ovalifolia, Jacaranda mimosifolia, Quercus acutissima)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 838284 records from 3357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039015-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n9fk5
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Buddleja officinalis",
 "Year 1970-2000"
 ]
}

 The dataset includes 144 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011346-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27400710
title: LLM-based Architecture to Create Graph Representations from ML Pipelines - Replication package.

description: Machine Learning (ML) is increasingly used across diverse application domains, offering powerful capabilities for intelligent services. As ML integrates into larger software systems, it adds complexity, making maintenance and evolution challenging. ML pipelines manage the lifecycle of these models but are often difficult to understand, maintain, and adapt due to limited support from existing orchestration tools. This paper presents a novel approach, coined CLAIRE (Collaborative LLMs Approach for Intelligent Representation Extraction of ML Pipelines), which generates Directed Acyclic Graph (DAG) representations that capture the logical structure and purpose of ML pipelines, rather than syntactic constructs. By focusing on logical segments, CLAIRE enables an improved representation of source code, advancing the capabilities of existing AST-based representations, which instead emphasize syntax. We leverage a collaborative ensemble of Large Language Models to improve accuracy and support the evolutionary activities of ML-enabled systems. A qualitative evaluation with 18 experienced ML engineers indicates that our approach effectively captures pipeline structure and highlights critical stages, aiding in understanding, diagnosing, and refining ML workflows. Practitioners found it useful for supporting evolutionary activities, though improvements are needed in representing complex data flows. The results demonstrate the potential of our approach to enhance ML pipeline maintainability and scalability, representing a potentially valuable solution to promote the reliability of ML-enabled systems.
DOI: 10.6084/m9.figshare.27400710.v2
title: Automated Logical Graph Representation of Machine Learning Pipelines Using Collaborative Language Models - Replication package.

description: Machine Learning (ML) is increasingly used across diverse application domains, offering powerful capabilities for intelligent services. As ML integrates into larger software systems, it adds complexity, making maintenance and evolution challenging. ML pipelines manage the lifecycle of these models but are often difficult to understand, maintain, and adapt due to limited support from existing orchestration tools. This paper presents a novel approach, coined CLAIRE (Collaborative LLMs Approach for Intelligent Representation Extraction of ML Pipelines), which generates Directed Acyclic Graph (DAG) representations that capture the logical structure and purpose of ML pipelines, rather than syntactic constructs. By focusing on logical segments, CLAIRE enables an improved representation of source code, advancing the capabilities of existing AST-based representations, which instead emphasize syntax. We leverage a collaborative ensemble of Large Language Models to improve accuracy and support the evolutionary activities of ML-enabled systems. A qualitative evaluation with 18 experienced ML engineers indicates that our approach effectively captures pipeline structure and highlights critical stages, aiding in understanding, diagnosing, and refining ML workflows. Practitioners found it useful for supporting evolutionary activities, though improvements are needed in representing complex data flows. The results demonstrate the potential of our approach to enhance ML pipeline maintainability and scalability, representing a potentially valuable solution to promote the reliability of ML-enabled systems.
DOI: 10.6084/m9.figshare.27400710.v3
title: LLM-based Architecture to Create Graph Representations from ML Pipelines - Replication package.

description: Machine Learning (ML) is increasingly used across diverse application domains, offering powerful capabilities for intelligent services. As ML integrates into larger software systems, it adds complexity, making maintenance and evolution challenging. ML pipelines manage the lifecycle of these models but are often difficult to understand, maintain, and adapt due to limited support from existing orchestration tools. This paper presents a novel approach, coined CLAIRE (Collaborative LLMs Approach for Intelligent Representation Extraction of ML Pipelines), which generates Directed Acyclic Graph (DAG) representations that capture the logical structure and purpose of ML pipelines, rather than syntactic constructs. By focusing on logical segments, CLAIRE enables an improved representation of source code, advancing the capabilities of existing AST-based representations, which instead emphasize syntax. We leverage a collaborative ensemble of Large Language Models to improve accuracy and support the evolutionary activities of ML-enabled systems. A qualitative evaluation with 18 experienced ML engineers indicates that our approach effectively captures pipeline structure and highlights critical stages, aiding in understanding, diagnosing, and refining ML workflows. Practitioners found it useful for supporting evolutionary activities, though improvements are needed in representing complex data flows. The results demonstrate the potential of our approach to enhance ML pipeline maintainability and scalability, representing a potentially valuable solution to promote the reliability of ML-enabled systems.
DOI: 10.34740/kaggle/dsv/14308641
title: machine learning sesar lembang v1
DOI: 10.15468/dl.gac7t8
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"CHN.13.12_1","matchCase":false},{"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 570 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011350-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.