cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10245814
title: OfficeGraph

description: OfficeGraph is a large, real world knowledge graph containing measurements taken by 444 IoT devices, over 11 months, in a seven story office building. The devices are made up of 17 different sensor models, which make measurements of many different properties.

The devices in room enrichment adds more information about which devices are located in which rooms, and on which floor those rooms are.The Wikidata days enrichment provides a link to Wikidata, by matching the dates of the measurements to those dates' entities in Wikidata.The graph learning enrichment provides additional properties that have beneficial effects on the learning process when using graph embedding models. The enrichments are located in separate files, with the graph learning enrichment folder only containing the enrichments for the devices on the 7th floor, which were used in the machine learning experiment (the code of this experiment is available on GitHub.

This is a zipped version of OfficeGraph. Instead of one file containing the entire knowledge graph the device folders contains a separate file for each individual device. Each file contains all the measurements made by the device. The enrichments are included in separate files.

The resource paper describing this dataset was published at ESWC 2024:

van der Weerdt, R., de Boer, V., Siebes, R., Groenewold, R., van Harmelen, F. (2024). OfficeGraph: A Knowledge Graph of Office Building IoT Measurements. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_6
DOI: 10.5281/zenodo.10245815
title: OfficeGraph

description: OfficeGraph is a large, real world knowledge graph containing measurements taken by 444 IoT devices, over 11 months, in a seven story office building. The devices are made up of 17 different sensor models, which make measurements of many different properties.
The devices in room enrichment adds more information about which devices are located in which rooms, and on which floor those rooms are.The Wikidata days enrichment provides a link to Wikidata, by matching the dates of the measurements to those dates' entities in Wikidata.The graph learning enrichment provides additional properties that have beneficial effects on the learning process when using graph embedding models. The enrichments are located in separate files, with the graph learning enrichment folder only containing the enrichments for the devices on the 7th floor, which were used in the machine learning experiment (the code of this experiment is available on GitHub.
This is a zipped version of OfficeGraph. Instead of one file containing the entire knowledge graph the device folders contains a separate file for each individual device. Each file contains all the measurements made by the device. The enrichments are included in separate files.
The resource paper describing this dataset is currently under submission.
DOI: 10.5281/zenodo.10566190
title: OfficeGraph

description: OfficeGraph is a large, real world knowledge graph containing measurements taken by 444 IoT devices, over 11 months, in a seven story office building. The devices are made up of 17 different sensor models, which make measurements of many different properties.
The devices in room enrichment adds more information about which devices are located in which rooms, and on which floor those rooms are.The Wikidata days enrichment provides a link to Wikidata, by matching the dates of the measurements to those dates' entities in Wikidata.The graph learning enrichment provides additional properties that have beneficial effects on the learning process when using graph embedding models. The enrichments are located in separate files, with the graph learning enrichment folder only containing the enrichments for the devices on the 7th floor, which were used in the machine learning experiment (the code of this experiment is available on GitHub.
This is a zipped version of OfficeGraph. Instead of one file containing the entire knowledge graph the device folders contains a separate file for each individual device. Each file contains all the measurements made by the device. The enrichments are included in separate files.
The resource paper describing this dataset is currently under submission.
DOI: 10.5281/zenodo.10566775
title: OfficeGraph

description: OfficeGraph is a large, real world knowledge graph containing measurements taken by 444 IoT devices, over 11 months, in a seven story office building. The devices are made up of 17 different sensor models, which make measurements of many different properties.

The devices in room enrichment adds more information about which devices are located in which rooms, and on which floor those rooms are.The Wikidata days enrichment provides a link to Wikidata, by matching the dates of the measurements to those dates' entities in Wikidata.The graph learning enrichment provides additional properties that have beneficial effects on the learning process when using graph embedding models. The enrichments are located in separate files, with the graph learning enrichment folder only containing the enrichments for the devices on the 7th floor, which were used in the machine learning experiment (the code of this experiment is available on GitHub.

This is a zipped version of OfficeGraph. Instead of one file containing the entire knowledge graph the device folders contains a separate file for each individual device. Each file contains all the measurements made by the device. The enrichments are included in separate files.

The resource paper describing this dataset was published at ESWC 2024:

van der Weerdt, R., de Boer, V., Siebes, R., Groenewold, R., van Harmelen, F. (2024). OfficeGraph: A Knowledge Graph of Office Building IoT Measurements. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_6
DOI: 10.15468/dl.956jw2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrciaria cauliflora (Mart.) O.Berg",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007036-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321328
title: Mechanisms of ENSO-Modulated Precipitation Seasonality in Southeastern China and Implications for Stalagmite δ18O Records

description: This dataset contains high-resolution stable oxygen (δ18O) and carbon (δ13C) isotope records from stalagmite YQ15-1, retrieved from Yongquan Cave in Jiujiang, Jiangxi Province, Southeastern China (29.61°N, 115.65°E). The 45-mm-long aragonite sample was collected in November 2015 from a site located deep within the cave system (~300 m from the entrance). A total of 245 carbonate powder samples were obtained via micromilling at 0.2 mm increments along the central growth axis, providing a temporal resolution of approximately 1–3 months per sample. Isotopic analysis was performed at the University of Innsbruck using a Thermo Fisher Deltaplus XL mass spectrometer coupled with a Gasbench II. Results are calibrated to the VPDB standard with analytical uncertainties (1σ). These records provide a precise terrestrial archive for evaluating ENSO-related hydroclimate variability and precipitation seasonality in the East Asian monsoon region from 1987 to 2015 CE.
DOI: 10.5281/zenodo.18321329
title: Mechanisms of ENSO-Modulated Precipitation Seasonality in Southeastern China and Implications for Stalagmite δ18O Records

description: This dataset contains high-resolution stable oxygen (δ18O) and carbon (δ13C) isotope records from stalagmite YQ15-1, retrieved from Yongquan Cave in Jiujiang, Jiangxi Province, Southeastern China (29.61°N, 115.65°E). The 45-mm-long aragonite sample was collected in November 2015 from a site located deep within the cave system (~300 m from the entrance). A total of 245 carbonate powder samples were obtained via micromilling at 0.2 mm increments along the central growth axis, providing a temporal resolution of approximately 1–3 months per sample. Isotopic analysis was performed at the University of Innsbruck using a Thermo Fisher Deltaplus XL mass spectrometer coupled with a Gasbench II. Results are calibrated to the VPDB standard with analytical uncertainties (1σ). These records provide a precise terrestrial archive for evaluating ENSO-related hydroclimate variability and precipitation seasonality in the East Asian monsoon region from 1987 to 2015 CE.
DOI: 10.15468/dl.x8a2be
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.985 4.581159, 113.914514 4.575588, 113.845766 4.559016, 113.780453 4.531849, 113.720185 4.494759, 113.666446 4.448659, 113.620561 4.394687, 113.583658 4.334173, 113.556646 4.268608, 113.540186 4.199608, 113.534681 4.128872, 113.540265 4.058142, 113.556796 3.98916, 113.583865 3.923623, 113.620803 3.863144, 113.666701 3.80921, 113.720427 3.763149, 113.780659 3.726094, 113.845916 3.698955, 113.914593 3.6824, 113.985 3.676836, 114.055407 3.6824, 114.124084 3.698955, 114.189341 3.726094, 114.249573 3.763149, 114.303299 3.80921, 114.349197 3.863144, 114.386135 3.923623, 114.413204 3.98916, 114.429735 4.058142, 114.435319 4.128872, 114.429814 4.199608, 114.413354 4.268608, 114.386342 4.334173, 114.349439 4.394687, 114.303554 4.448659, 114.249815 4.494759, 114.189547 4.531849, 114.124234 4.559016, 114.055486 4.575588, 113.985 4.581159))"},{"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 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001525-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321667
title: Tabernaemontana L. 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.18321668
title: Tabernaemontana L. 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.k7ahh6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.453 0.773184, 99.38273100000001 0.767617, 99.31419200000001 0.751051, 99.249072 0.723896, 99.188975 0.68682, 99.135379 0.640736, 99.089606 0.5867790000000001, 99.05278199999999 0.526278, 99.025812 0.460722, 99.009362 0.391727, 99.003835 0.32099, 99.00936799999999 0.250254, 99.025824 0.18126, 99.052798 0.115706, 99.089625 0.055208, 99.13539900000001 0.001254, 99.188993 -0.044827, 99.249088 -0.081901, 99.314204 -0.109054, 99.38273700000001 -0.125618, 99.453 -0.131185, 99.523263 -0.125618, 99.591796 -0.109054, 99.65691200000001 -0.081901, 99.717007 -0.044827, 99.770601 0.001254, 99.81637499999999 0.055208, 99.853202 0.115706, 99.88017600000001 0.18126, 99.896632 0.250254, 99.902165 0.32099, 99.896638 0.391727, 99.880188 0.460722, 99.853218 0.526278, 99.816394 0.5867790000000001, 99.77062100000001 0.640736, 99.71702500000001 0.68682, 99.65692799999999 0.723896, 99.591808 0.751051, 99.523269 0.767617, 99.453 0.773184))"},{"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/0001526-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.31102099
title: E-commerce Dataset

description: Typically e-commerce datasets are proprietary and consequently hard to find among publicly available data. However, The UCI Machine Learning Repository has made this dataset containing actual transactions from 2010 and 2011. The dataset is maintained on their site, where it can be found by the title "Online Retail".
DOI: 10.6084/m9.figshare.31102099.v1
title: E-commerce Dataset

description: Typically e-commerce datasets are proprietary and consequently hard to find among publicly available data. However, The UCI Machine Learning Repository has made this dataset containing actual transactions from 2010 and 2011. The dataset is maintained on their site, where it can be found by the title "Online Retail".
DOI: 10.15468/dl.jdy3g6
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Liacos erythrosoma"
 ]
}

 The dataset includes 178 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001527-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321672
title: Vigna peduncularis var. clitorioides (Mart. ex Benth.) Maréchal, Mascherpa & Stainier. 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.18321673
title: Vigna peduncularis var. clitorioides (Mart. ex Benth.) Maréchal, Mascherpa & Stainier. 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.9zywgv
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((113.977 4.588158, 113.906513 4.582588, 113.837765 4.566016, 113.772451 4.538849, 113.712182 4.501759, 113.658443 4.455659, 113.612557 4.401687, 113.575655 4.341173, 113.548642 4.275608, 113.532182 4.206608, 113.526677 4.135872, 113.532261 4.065142, 113.548792 3.99616, 113.575861 3.930623, 113.6128 3.870143, 113.658698 3.81621, 113.712425 3.770149, 113.772658 3.733094, 113.837915 3.705955, 113.906592 3.6894, 113.977 3.683836, 114.047408 3.6894, 114.116085 3.705955, 114.181342 3.733094, 114.241575 3.770149, 114.295302 3.81621, 114.3412 3.870143, 114.378139 3.930623, 114.405208 3.99616, 114.421739 4.065142, 114.427323 4.135872, 114.421818 4.206608, 114.405358 4.275608, 114.378345 4.341173, 114.341443 4.401687, 114.295557 4.455659, 114.241818 4.501759, 114.181549 4.538849, 114.116235 4.566016, 114.047487 4.582588, 113.977 4.588158))"},{"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 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001528-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18321675
title: Thaumatophyllum tweedieanum (Schott) Sakur., Calazans & Mayo. 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.18321676
title: Thaumatophyllum tweedieanum (Schott) Sakur., Calazans & Mayo. 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.18321679
title: Vernonanthura pseudolinearifolia (Hieron.) A.J.Vega & Dematt. 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.18321680
title: Vernonanthura pseudolinearifolia (Hieron.) A.J.Vega & Dematt. 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.tucxsf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.352 0.778184, 101.281731 0.772617, 101.213192 0.756051, 101.148072 0.728896, 101.087974 0.69182, 101.034379 0.645736, 100.988606 0.5917790000000001, 100.951781 0.531278, 100.924812 0.465722, 100.908362 0.396727, 100.902835 0.32599, 100.908368 0.255254, 100.924824 0.186259, 100.951798 0.120706, 100.988625 0.060208, 101.034399 0.006254, 101.087993 -0.039827, 101.148088 -0.076901, 101.213204 -0.104054, 101.281737 -0.120618, 101.352 -0.126185, 101.422263 -0.120618, 101.490796 -0.104054, 101.555912 -0.076901, 101.616007 -0.039827, 101.669601 0.006254, 101.715375 0.060208, 101.752202 0.120706, 101.779176 0.186259, 101.795632 0.255254, 101.801165 0.32599, 101.795638 0.396727, 101.779188 0.465722, 101.752219 0.531278, 101.715394 0.5917790000000001, 101.669621 0.645736, 101.616026 0.69182, 101.555928 0.728896, 101.490808 0.756051, 101.422269 0.772617, 101.352 0.778184))"},{"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/0001529-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18321686
title: Stipa chrysophylla f. modica F.A.Roig. 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.18321685
title: Stipa chrysophylla f. modica F.A.Roig. 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.ftepav
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.219 4.593158, 103.148513 4.587588, 103.079764 4.571016, 103.01445 4.543849, 102.95418 4.506759, 102.900441 4.460659, 102.854555 4.406687, 102.817652 4.346173, 102.790639 4.280608, 102.774179 4.211608, 102.768675 4.140872, 102.774258 4.070142, 102.790789 4.00116, 102.817859 3.935622, 102.854798 3.875143, 102.900696 3.82121, 102.954423 3.775149, 103.014657 3.738094, 103.079914 3.710955, 103.148592 3.6944, 103.219 3.688836, 103.289408 3.6944, 103.358086 3.710955, 103.423343 3.738094, 103.483577 3.775149, 103.537304 3.82121, 103.583202 3.875143, 103.620141 3.935622, 103.647211 4.00116, 103.663742 4.070142, 103.669325 4.140872, 103.663821 4.211608, 103.647361 4.280608, 103.620348 4.346173, 103.583445 4.406687, 103.537559 4.460659, 103.48382 4.506759, 103.42355 4.543849, 103.358236 4.571016, 103.289487 4.587588, 103.219 4.593158))"},{"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/0001531-260120142942310/datasets/export for details.
DOI: 10.15468/dl.sr3dsa
title: Occurrence Download

description: A dataset containing 4738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Thunbergia grandiflora"
 ]
}

 The dataset includes 4738 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001530-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5dfjy
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CNMA/Colección Nacional de mamíferos",
 "TaxonKey is Thomomys"
 ]
}

 The dataset includes 197 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001532-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14565588
title: Daily Market Prices of Commodity India (2001-2026)