cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34816/efa.ec.2024.lum619
title: Lum619 - Lampe à piton central

description: Publications de l'École française d'Athènes<br />Études crétoises vol 38<br />Les lampes minoennes Catalogue raisonné et typologie des formes<br />Bastien Rueff<br />Numéro d’inventaire : N507<br />Site: Malia, Chrysolakkos<br />Type : 5
DOI: 10.15468/dl.4r527v
title: Occurrence Download

description: A dataset listing the 1847 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "DatasetKey is one of (DOF/BirdLife Denmark - Observations from DOFbasen, Danish Mycological Society, fungal records database, iNaturalist Research-grade Observations, Bugbase, Lepidopterological Society, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, Diveboard - Scuba diving citizen science observations, BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe, ConDidact Citizen Science Surveys - Spiders 2014, Estonian Naturalists’ Society, Artportalen)",
 "Geometry POLYGON((12.74309 56.23256,12.67697 56.17787,12.64023 56.11142,12.65114 56.02491,12.70688 55.95022,12.76146 55.90288,12.8184 55.85548,12.92961 55.81946,12.97821 55.80803,13.02597 55.79357,13.09213 55.78998,13.18875 55.78415,13.337 55.77372,13.4445 55.78921,13.57707 55.84308,13.68439 55.93965,13.76899 56.03192,13.79226 56.09889,13.78434 56.16476,13.75439 56.20292,13.67771 56.27251,13.55852 56.3078,13.49535 56.31985,13.44283 56.3383,13.37872 56.34557,13.31619 56.34402,13.27211 56.34199,13.17292 56.33995,13.0076 56.31347,12.81081 56.26229,12.74309 56.23256,12.74309 56.23256,12.74309 56.23256,12.74309 56.23256))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Continent derived from coordinates, The scientific name ID was not used in backbone matching, Country derived from coordinates, Country invalid, The taxon ID was not used in backbone matching, Occurrence status inferred from individual count)",
 "IucnRedListCategory is one of (LC, NE, NT, VU, EN)",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (8b734449-479a-4924-8f7a-9a2a64112f8f, ccc2e3ec-98ba-4e74-878d-7dcf0f57baba, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, ab76e54b-a6cf-4024-9e29-30df1e2f6383, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 1f00d75c-f6fc-4224-a595-975e82d7689c, 0870a77b-587c-4369-a8ed-bc3d347b8e1c, 1989b627-2a61-44db-83e4-392efc5da0a9, f1f8a1e3-d00a-4f73-a9c0-afe7674ff948, d2519a48-9ed7-4e86-8692-338cfc214629)",
 "Year 2013-2022"
 ]
}

 The dataset's 1847 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000224-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/efa.ec.2024.lum621
title: Lum621 - Cône

description: Publications de l'École française d'Athènes<br />Études crétoises vol 38<br />Les lampes minoennes Catalogue raisonné et typologie des formes<br />Bastien Rueff<br />Numéro d’inventaire : 72M343<br />Site: Malia, Quartier Mu<br />Type : Cône
DOI: 10.15468/dl.euk77s
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aulosira fertilissima Ghose"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000244-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/efa.ec.2024.lum622
title: Lum622 - Cône

description: Publications de l'École française d'Athènes<br />Études crétoises vol 38<br />Les lampes minoennes Catalogue raisonné et typologie des formes<br />Bastien Rueff<br />Numéro d’inventaire : 71M462<br />Site: Malia, Quartier Mu<br />Type : Cône
DOI: 10.7910/dvn/d83ibd/e9lwo8
title: TBDB-1.tif
DOI: 10.7910/dvn/d83ibd/1xse7r
title: BFFK.tif
DOI: 10.7910/dvn/d83ibd/nigmqo
title: TBKO-1.tif
DOI: 10.7910/dvn/d83ibd/qbdlft
title: TBKO-3.tif
DOI: 10.7910/dvn/d83ibd/kuu7zn
title: TBDC-1.tif
DOI: 10.7910/dvn/d83ibd/mxtgnv
title: TBCO-1.tif
DOI: 10.7910/dvn/d83ibd/rstplu
title: TBDK-2.tif
DOI: 10.7910/dvn/d83ibd/tai9hv
title: BFUZ.tif
DOI: 10.34816/efa.ec.2024.lum623
title: Lum623 - Cône

description: Publications de l'École française d'Athènes<br />Études crétoises vol 38<br />Les lampes minoennes Catalogue raisonné et typologie des formes<br />Bastien Rueff<br />Numéro d’inventaire : 71M58<br />Site: Malia, Quartier Mu<br />Type : Cône
DOI: 10.7910/dvn/d83ibd/bibywo
title: TBKO-2.tif
DOI: 10.7910/dvn/d83ibd/wvu1wo
title: TBDB-2.tif
DOI: 10.7910/dvn/d83ibd/i1cfd9
title: TBDC-2.tif
DOI: 10.7910/dvn/d83ibd/1rpo0g
title: TBDK-1.tif
DOI: 10.7910/dvn/d83ibd/n9e4f4
title: TBCO-2.tif
DOI: 10.15468/dl.m3eg99
title: Occurrence Download

description: A dataset containing 9629733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orchidaceae"
 ]
}

 The dataset includes 9629733 records from 5932 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000169-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwawac
title: Occurrence Download

description: A dataset containing 12273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Andigena laminirostris Gould, 1851"
 ]
}

 The dataset includes 12273 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034105-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytq9w6
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "OccurrenceStatus is Present",
 "TaxonKey is Favolus acervatus (Lloyd) Sotome & T.Hatt."
 ]
}

 The dataset includes 59 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034107-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhz73e
title: Occurrence Download

description: A dataset containing 101416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamiaceae"
 ]
}

 The dataset includes 101416 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034091-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fg7kp
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Quindio, Quindio Department, Quindio Dept.)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 128 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034108-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00010336
title: Data challenge: Use of AI to model WHO priority pathogens and antibiotics from Africa using ATLAS dataset

description: Our research focuses on leveraging machine learning to uncover knowledge from the ATLAS dataset from Africa, aiming to enhance public health practices and improve the health system on the continent. By analyzing the antimicrobial resistance (AMR) dataset using machine learning techniques, we seek to identify correlations, patterns, and trends that can inform targeted interventions. We plan to develop AI models using the Vivli ATLAS dataset and validate them with data from St. Joseph's Hospital Maracha in Uganda. Our research prioritizes pathogens identified by the WHO's Global Antimicrobial Resistance Surveillance System (GLASS), including Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, Staphylococcus aureus, Streptococcus pneumoniae, and Salmonella spp. The antibiotics of focus are ceftriaxone, metronidazole, ciprofloxacin, and amoxicillin. By utilizing AI to predict resistance patterns of WHO priority pathogens to these antibiotics, we aim to support antimicrobial stewardship. AI algorithms can analyze large volumes of AMR data to identify patterns, trends, and risk factors associated with antibiotic resistance. This analysis can detect emerging resistance patterns and predict future trends, enabling the development of targeted interventions and policies to optimize antibiotic prescribing practices and curb the spread of resistant pathogens. Integrating diverse data sources, such as clinical data, surveillance data, and genotype data, allows AI algorithms to provide real-time insights into AMR dynamics. Public health officials can use these insights to implement timely interventions, efficiently allocate resources, and design targeted awareness campaigns. AI can also highlight areas for improvement, such as optimizing antibiotic usage, enhancing infection control protocols, and identifying gaps in healthcare infrastructure. This data-driven approach informs policy decisions, resource allocation, and system-level interventions, fostering more resilient and efficient health systems. Ultimately, the integration of AI techniques with AMR data analysis has the potential to drive evidence-based decision-making and significantly impact public health outcomes.
DOI: 10.15468/dl.y7x39c
title: Occurrence Download

description: A dataset containing 2050355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "GadmGid is BRA.13_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2050355 records from 1025 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034093-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9qg2a
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tigridia durangense Molseed ex Cruden"
 ]
}

 The dataset includes 84 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034111-240626123714530/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.24799299
title: mdd2023diverse

description: Summary statistics of cross-ancestry major depressive disorder GWAS
DOI: 10.6084/m9.figshare.26357506
title: Final BB Year-end charts '13-'22.xlsx

description: The American political landscape favors autonomy and independence while dismissing vulnerability and dependency. This article examines the lyrical expressions of autonomy and vulnerability through gender, race, and genre on the Billboard Year-end charts from 2013 to 2022. In this study, autonomy and vulnerability are categorized into four categories: socioeconomics, sex, violence, and emotion. Overall, men perform socioeconomic autonomy more than women, but among men, white men are more likely to express emotional vulnerability than men of color. Conversely, women mention emotional autonomy and sexual vulnerability the most in their songs. This research hopes to show the multifaceted meaning of autonomy and vulnerability and change the sentiment toward these words by providing a deeper context behind the most well-received songs in America to see what prompts artists to be autonomous/vulnerable.
DOI: 10.6084/m9.figshare.26357506.v1
title: Final BB Year-end charts '13-'22.xlsx

description: The American political landscape favors autonomy and independence while dismissing vulnerability and dependency. This article examines the lyrical expressions of autonomy and vulnerability through gender, race, and genre on the Billboard Year-end charts from 2013 to 2022. In this study, autonomy and vulnerability are categorized into four categories: socioeconomics, sex, violence, and emotion. Overall, men perform socioeconomic autonomy more than women, but among men, white men are more likely to express emotional vulnerability than men of color. Conversely, women mention emotional autonomy and sexual vulnerability the most in their songs. This research hopes to show the multifaceted meaning of autonomy and vulnerability and change the sentiment toward these words by providing a deeper context behind the most well-received songs in America to see what prompts artists to be autonomous/vulnerable.
DOI: 10.15468/dl.fdbvn9
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.28859 -0.47648,-49.88149 -0.47648,-49.88149 4.79407,-55.10292 7.33275,-60.28859 4.79407,-60.28859 -0.47648))",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrobates tinctorius (Cuvier, 1797)"
 ]
}

 The dataset includes 384 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034113-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z66x3k
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America)",
 "DatasetKey is one of (USDA United States National Fungus Collections, SP-Fungi - Maria Eneyda Pacheco Kauffmann Fidalgo, Herbarium - Instituto Nacional de Pesquisas da Amazônia (INPA), Louisiana State University, Bernard Lowy Mycological Herbarium, Hongos del estado de Veracruz, PACA-Fungi - Herbarium Anchieta - Fungi Rickiani, Actualización de la base de datos de hongos macroscópicos de Jalisco, FURB - Herbário Dr. Roberto Miguel Klein, ICN - Herbário do Instituto de Ciências Naturais)",
 "OccurrenceStatus is Present",
 "TaxonKey is Favolus brasiliensis (Fr.) Fr."
 ]
}

 The dataset includes 427 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034114-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckwwtq
title: Occurrence Download

description: A dataset containing 6580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is BRA.13_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamiaceae"
 ]
}

 The dataset includes 6580 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034115-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pew66y
title: Occurrence Download

description: A dataset listing the 36752 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.13_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 36752 records were derived from 1025 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034097-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2byva2
title: Occurrence Download

description: A dataset containing 5020 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BB'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2001 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 5020 records were derived from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005850-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v5hnc
title: Occurrence Download

description: A dataset containing 8748 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichoplusia ni"
 ]
}

 The dataset includes 8748 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005879-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y89spt
title: Occurrence Download

description: A dataset containing 297620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Mimus polyglottos)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 297620 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005800-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vngjzq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physella gyrina",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005882-250914085247600/datasets/export for details.
DOI: 10.15468/dl.z9fzg7
title: Occurrence Download

description: A dataset containing 6294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year is 1923",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 6294 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbpj8x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physella gyrina",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005881-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnbtqs
title: Occurrence Download

description: A dataset containing 79359 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 one of (Ricinus communis)"
 ]
}

 The dataset includes 79359 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005852-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.30038767
title: Supporting data for “Generative AI in Collaborative Learning: Exploring its Impact on Cognitive and Metacognitive Interation”

description: This dataset was collected as part of the research project <i>Generative AI in Collaborative Learning: Exploring its Impact on Cognitive and Metacognitive Interaction</i>. The study investigates how students engage in group discussions with and without the use of generative AI tools, focusing on the ways cognitive and metacognitive interactions are shaped in these learning environments. The dataset contains 1,044 rows and 5 variables, which include group identifiers, indicators of generative AI use, system-recorded timestamps, students’ utterances (including sentences revised through large language models), and the corresponding cognitive/metacognitive interaction codes. Together, these data provide a structured record of group-level learning processes and enable the analysis of patterns in student interaction, offering insights into the role of generative AI in collaborative learning.