cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15447140
title: Subnational Methane Monitor

description: Methane, a greenhouse gas 80 times more potent than CO2 in the near term, drives nearly one-third of current warming. Yet it remains under-addressed in many climate strategies. To stay on track for 1.5 °C, we must slash methane emissions quickly, especially from energy, agriculture, and waste.

 

While national pledges set the stage, subnational governments and local stakeholders implement the day-to-day policies and projects that move the needle. Cities, states, provinces, and regions are in the position to experiment with tailored regulations and pilot initiatives. However, there is currently a lack of integrated tracking of subnational emissions and actions, which hinders transparency and the exchange of successes and lessons learned.

 

To fill a critical information gap, the California-China Climate Institute (CCCI) proudly launches the Subnational Methane Monitor—the first centralized, global platform tracking:

 





Policies: Local regulations, targets, and binding standards across sectors




Projects: Pilot and scaled-up efforts in waste management, dairy digesters, pipeline leak detection, and more




Emissions: Time-series data and trend visualizations at subnational resolution



 

The current version includes subnationals in the United States and China. By aggregating data on regulations, evaluating policy ambition, mapping pilot projects, and visualizing emission trends, this platform empowers jurisdictions to identify gaps, benchmark progress, and share best practices. Bridging the gap between local action and global climate goals, the Subnational Methane Monitor turns data into actionable insights, accelerating collaboration to curb this super-pollutant.
DOI: 10.15468/dl.rmvw2g
title: Occurrence Download

description: A dataset containing 55100 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversity4all Research-Grade Observations"
 ]
}

 The dataset includes 55100 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005384-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ut8exr
title: Species diversity of Derxomyces (Bulleribasidiaceae, Tremellales) in China, with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xi, Zhi-Wen, Wang, Rui-Xiu, Chai, Chun-Yue, Hui, Feng-Li (2026): Species diversity of Derxomyces (Bulleribasidiaceae, Tremellales) in China, with descriptions of two new species. MycoKeys 127: 155-168, DOI: 10.3897/mycokeys.127.178322AbstractDerxomyces is a monophyletic genus within the family Bulleribasidiaceae, with species that are both abundant and diverse in China, particularly in tropical and subtropical regions. In this study, molecular phylogenetic data and phenotypic characteristics were integrated to investigate the species diversity of Derxomyces in Hainan and Henan Provinces of China. A total of nine species were documented, including two new species, D. alseodaphnes sp. nov. (holotype GDMCC 2.534 T) and D. henanensis sp. nov. (holotype GDMCC 2.336 T), as well as one species new to China, D. schimicola. The remaining species included five that were originally described from China and one that was first identified from New Zealand. Detailed descriptions and illustrations of the two new species are presented, along with comparisons to closely-related species. This study contributes to our understanding of the Derxomyces species diversity in China and lays the foundation for future taxonomic and ecological research.
DOI: 10.15468/dl.788ajy
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "GadmGid is one of (ESP.2_1, ESP.2.2_1, ESP.2.3_1, ESP.2.1_1)",
 "Geometry POLYGON((-2.07113 41.09753,-1.9758 41.10573,-1.84576 41.05046,-1.69342 40.93173,-1.68315 40.85054,-1.61312 40.79567,-1.61629 40.64257,-1.69906 40.64353,-1.74686 40.61703,-1.76051 40.51808,-1.86824 40.4291,-1.85767 40.35693,-1.78768 40.32018,-1.7888 40.25713,-1.75403 40.22973,-1.68352 40.22895,-1.55617 40.13734,-1.50903 40.14575,-1.50962 40.11873,-1.46331 40.0911,-1.29914 40.08881,-1.19434 40.06019,-1.23043 40.02471,-1.23159 39.97969,-1.19765 39.93412,-1.16304 39.91556,-0.97568 39.92144,-0.97779 39.84941,-0.92074 39.80336,-0.85098 39.79307,-0.75615 39.83632,-0.73071 39.89889,-0.77601 39.94481,-0.69232 39.99723,-0.57432 40.02184,-0.49814 40.18237,-0.3321 40.2237,-0.28154 40.3126,-0.22165 40.33819,-0.21869 40.41018,-0.2415 40.42874,-0.20506 40.45489,-0.20319 40.49988,-0.23559 40.57272,-0.23262 40.64471,-0.1728 40.66127,-0.17051 40.71526,0.06725 40.64062,0.10152 40.66851,0.20749 40.68013,0.34469 40.80046,0.31701 40.8989,0.3623 40.95399,0.36086 40.98998,0.34682 41.0437,0.28555 41.08731,0.44717 41.2171,0.4563 41.28935,0.43138 41.31582,0.4412 41.37008,0.4166 41.38754,0.41445 41.44153,0.46159 41.4606,0.51865 41.53389,0.49087 41.63236,0.41819 41.64876,0.40511 41.67548,0.45169 41.71255,0.49973 41.71361,0.53369 41.76838,0.59346 41.77865,0.67502 41.85238,0.67175 41.94238,0.73042 41.98858,0.78511 42.15175,0.77175 42.18752,0.83945 42.3329,0.78587 42.47597,0.82078 42.52166,0.82889 42.63889,0.67862 42.744,0.32542 42.71828,0.32349 42.76326,0.23723 42.77922,0.06673 42.76597,0.0558 42.73868,0 42.71922,0 42.6922,-0.04573 42.69339,-0.15176 42.77712,-0.15052 42.80411,-0.19979 42.79632,-0.2711 42.84306,-0.35667 42.84507,-0.38264 42.80965,-0.43189 42.80176,-0.51633 42.83064,-0.52999 42.79492,-0.55442 42.79544,-0.66099 42.88772,-0.72217 42.88895,-0.71985 42.95194,-0.74369 42.97042,-0.86716 42.94577,-0.91858 42.87468,-0.9207 42.81169,-0.99607 42.75,-1.05714 42.75105,-1.10763 42.69786,-1.18084 42.69905,-1.24338 42.64599,-1.24414 42.61899,-1.30557 42.6019,-1.35573 42.5486,-1.35738 42.48559,-1.40695 42.45027,-1.42159 42.35141,-1.45866 42.32489,-1.4602 42.26187,-1.48487 42.24419,-1.46413 42.09982,-1.40503 42.04497,-1.44303 41.97344,-1.55182 41.96586,-1.61117 42.01163,-1.69568 42.01262,-1.71929 42.0399,-1.81559 42.05895,-1.87601 42.05956,-1.91272 42.03289,-1.92722 41.88892,-1.89184 41.84355,-1.91729 41.76274,-1.86966 41.73526,-1.87013 41.70824,-1.95513 41.655,-2.05146 41.63782,-2.06451 41.56587,-2.04079 41.54766,-2.04172 41.48462,-2.13742 41.49439,-2.23484 41.35996,-2.21331 41.16165,-2.07113 41.09753),(-0.73855 40.01615,-0.7387 40.01167,-0.73853 40.01678,-0.73855 40.01615))"
 ]
 },
 "EventDate 2025-12-23-2026-01-22"
 ]
}

 The dataset includes 286 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005381-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e8bzk
title: Occurrence Download

description: A dataset containing 9406 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_1_GID","value":"CAN.11_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 9406 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005418-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpvb3y
title: Occurrence Download

description: A dataset containing 195 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)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Larimichthys crocea"
 ]
}

 The dataset includes 195 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005421-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26dah4
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.78691999999999 24.487178, 88.70976 24.481601, 88.63451999999999 24.465009, 88.56307099999999 24.437814, 88.497185 24.400693, 88.43849400000001 24.354567, 88.388445 24.300581, 88.348269 24.240074, 88.318945 24.174543, 88.30118 24.105609, 88.295394 24.034971, 88.301711 23.964372, 88.319954 23.895547, 88.349659 23.830188, 88.390079 23.769897, 88.44021100000001 23.716151, 88.498818 23.670265, 88.56446 23.63336, 88.63553 23.606336, 88.710291 23.589854, 88.78691999999999 23.584315, 88.86354900000001 23.589854, 88.93831 23.606336, 89.00937999999999 23.63336, 89.075022 23.670265, 89.133629 23.716151, 89.183761 23.769897, 89.224181 23.830188, 89.25388599999999 23.895547, 89.27212900000001 23.964372, 89.278446 24.034971, 89.27266 24.105609, 89.254895 24.174543, 89.225571 24.240074, 89.185395 24.300581, 89.135346 24.354567, 89.076655 24.400693, 89.010769 24.437814, 88.93932 24.465009, 88.86408 24.481601, 88.78691999999999 24.487178))"},{"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 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005419-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk6xbd
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.476 8.676087000000001, 98.40492999999999 8.670514000000001, 98.335616 8.653935000000001, 98.26977100000001 8.626759, 98.209019 8.589657000000001, 98.154859 8.543545, 98.108626 8.489561999999999, 98.071457 8.429039, 98.044265 8.363471000000001, 98.027714 8.294472000000001, 98.02220699999999 8.223744, 98.027873 8.153028000000001, 98.044567 8.084065000000001, 98.071873 8.018552, 98.109115 7.9581, 98.155373 7.904194, 98.209508 7.85816, 98.270186 7.821127, 98.33591800000001 7.794007, 98.405089 7.777463, 98.476 7.771903, 98.54691099999999 7.777463, 98.61608200000001 7.794007, 98.681814 7.821127, 98.742492 7.85816, 98.796627 7.904194, 98.842885 7.9581, 98.880127 8.018552, 98.907433 8.084065000000001, 98.924127 8.153028000000001, 98.929793 8.223744, 98.924286 8.294472000000001, 98.907735 8.363471000000001, 98.880543 8.429039, 98.843374 8.489561999999999, 98.797141 8.543545, 98.742981 8.589657000000001, 98.68222900000001 8.626759, 98.616384 8.653935000000001, 98.54707000000001 8.670514000000001, 98.476 8.676087000000001))"},{"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 734 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005413-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7q25g
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anas pachyscelus"
 ]
}

 The dataset includes 69 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005417-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhzfr6
title: Occurrence Download

description: A dataset containing 9221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((173.12474 -34.85482,173.11415 -34.87096,173.13532 -34.90942,173.16255 -34.96522,173.17465 -35.00612,173.18978 -35.0569,173.18222 -35.09033,173.18978 -35.13487,173.20642 -35.16208,173.22911 -35.16332,173.27449 -35.15343,173.2881 -35.10394,173.27298 -35.07424,173.24877 -35.05195,173.24121 -35.02718,173.22911 -35.00488,173.22155 -34.98629,173.21852 -34.95654,173.23213 -34.93547,173.26239 -34.92554,173.27449 -34.90942,173.27751 -34.89081,173.25331 -34.88585,173.17314 -34.85979,173.12474 -34.85482))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9221 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005415-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68j56n
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Lynx lynx lynx"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005426-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17281873
title: Dataset for Manuscript Entitled: Impacts of Multi-Access Course Delivery on Student Learning and Academic Achievement

description: Complete dataset used for Manuscript Entitled: "Impacts of Multi-Access Course Delivery on Student Learning and Academic Achievement". Dataset contains student survey responses to closed-ended questions, paired with their academic data including incoming averages, final exam scores, and course grades.
DOI: 10.5281/zenodo.17281872
title: Dataset for Manuscript Entitled: Impacts of Multi-Access Course Delivery on Student Learning and Academic Achievement

description: Complete dataset used for Manuscript Entitled: "Impacts of Multi-Access Course Delivery on Student Learning and Academic Achievement". Dataset contains student survey responses to closed-ended questions, paired with their academic data including incoming averages, final exam scores, and course grades.
DOI: 10.34740/kaggle/dsv/14586276
title: US counties COVID 19 dataset
DOI: 10.26301/zaqy-mc59
title: Ceramic Vessels at Pumapungo Museum

description: Pumapungo is a living testament to the presence of the many different historical groups, such as the CaÃ±aris, the Incas, the Spaniards, and the mestizos who all left their mark in this place. Likewise, it is a strategic point found along the Qhapaq Ã‘an (Royal Inca Road) through what used to be the territory of Ecuador. Pumapungo has a series of characteristics that make it a unique place. It is located within the Historic Center of Cuenca, which in 1999 was declared a World Heritage Site by UNESCO. Likewise, it is a crossroads connecting the North and the South of the ancient Inca empire, the Tahuantinsuyo". These connections were made through the Qhapaq Ã‘an
description: Photogrammetry - Terrestrial, Photogrammetry - Aerial
DOI: 10.5281/zenodo.18342543
title: SuperDARN data in netCDF format (2003-Jan)

description: 2003-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6730819
title: SuperDARN data in netCDF format (2003-Jan)

description: 2003-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.dyxehd
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Capra pyrenaica"
 ]
}

 The dataset includes 211 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005430-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5n6h4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lacerta viridis ",
 "Country is Albania",
 "Country is Austria",
 "Country is Bosnia and Herzegovina",
 "Country is Belgium",
 "Country is Bulgaria",
 "Country is Belarus",
 "Country is Switzerland",
 "Country is Cyprus",
 "Country is Czechia",
 "Country is Germany",
 "Country is Denmark",
 "Country is Estonia",
 "Country is Spain",
 "Country is Finland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Greece",
 "Country is Croatia",
 "Country is Hungary",
 "Country is Ireland",
 "Country is Italy",
 "Country is Lithuania",
 "Country is Luxembourg",
 "Country is Latvia",
 "Country is Moldova, Republic of",
 "Country is Montenegro",
 "Country is North Macedonia",
 "Country is Malta",
 "Country is Netherlands",
 "Country is Norway",
 "Country is Poland",
 "Country is Portugal",
 "Country is Romania",
 "Country is Serbia",
 "Country is Sweden",
 "Country is Slovenia",
 "Country is Slovakia",
 "Country is Türkiye",
 "Country is Ukraine",
 "Country is Kosovo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005431-260120142942310/datasets/export for details.
DOI: 10.15468/dl.dyak3u
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "TaxonKey is Tomistoma schlegelii"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005429-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq5pp5
title: Occurrence Download

description: A dataset containing 5220 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eucrypta chrysanthemifolia",
 "Continent is North America",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5220 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005432-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18326321
title: Europe's Exposure-At-Risk: Comprehensive multi-risk assessments from climate to catastrophe in tourism, finance, agriculture and other sectors

description: This dataset was developed within the Horizon 2020 MYRIAD-EU project and provides a comprehensive and holistic collection of European Exposure-At-Risk metrics. It serves as a unified database for assessing the interaction between diverse natural and climate-related hazards and various sectoral exposures, with all data aggregated at the NUTS3 level.

The addressed perils include hail, flood, landslide, tropical cyclones, storm surges, drought, earthquakes, heat, tsunamis, wildfires, wind, and winterstorms. The included exposure metrics population, GDP, tourism expenditure, and sectoral capital stock data categorized by NACE Rev 2.1 (A21 level). All metadata desciptions can be found in the file metadata.

To visualize and interact with this data, please visit the Exposure at risk explorer hosted on the official MYRIAD-EU Multi-Risk Toolkit platform.
DOI: 10.6084/m9.figshare.31124914
title: [JAW - 2026] Towards a Characterization of Microservice Architectures

description: This dataset contains the artifacts required to reproduce the experiments presented in the referenced research paper.
DOI: 10.6084/m9.figshare.31124914.v2
title: [JAW - 2026] Towards a Characterization of Microservice Architectures

description: This dataset contains the artifacts required to reproduce the experiments presented in the referenced research paper.
DOI: 10.6084/m9.figshare.31124914.v1
title: [JAW - 2026] Do Large Language Models Generate Coherent Microservice Architectures? An Empirical Evaluation

description: This dataset contains the artifacts required to reproduce the experiments presented in the referenced research paper.