cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/t95coy
title: PAN-00181501 - eye brooch E

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181501&lt;/p&gt;
description: Modified: 2025-10-24T15:27:33+02:00
DOI: 10.15468/dl.apgpdm
title: Occurrence Download

description: A dataset containing 913995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantae)",
 "Year is one of (2022, 2023, 2024, 2025)",
 "Geometry POLYGON((10.868610 54.559029, 15.193056 54.559029, 15.193056 56.200417, 10.868610 56.200417, 10.868610 54.559029))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 913995 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgnjte
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((109.939 0.794184, 109.86873 0.788617, 109.800191 0.772051, 109.735071 0.744896, 109.674974 0.70782, 109.621378 0.661736, 109.575605 0.607779, 109.53878 0.547277, 109.511811 0.481722, 109.495361 0.412726, 109.489834 0.341989, 109.495367 0.271253, 109.511823 0.202259, 109.538797 0.136706, 109.575625 0.076207, 109.621399 0.022254, 109.674994 -0.023827, 109.735088 -0.060901, 109.800204 -0.08805399999999999, 109.868737 -0.104618, 109.939 -0.110185, 110.009263 -0.104618, 110.077796 -0.08805399999999999, 110.142912 -0.060901, 110.203006 -0.023827, 110.256601 0.022254, 110.302375 0.076207, 110.339203 0.136706, 110.366177 0.202259, 110.382633 0.271253, 110.388166 0.341989, 110.382639 0.412726, 110.366189 0.481722, 110.33922 0.547277, 110.302395 0.607779, 110.256622 0.661736, 110.203026 0.70782, 110.142929 0.744896, 110.077809 0.772051, 110.00927 0.788617, 109.939 0.794184))"},{"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/0040237-251120083545085/datasets/export for details.
DOI: 10.15468/dl.42gwad
title: Occurrence Download

description: A dataset containing 15810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tyto alba",
 "HasCoordinate is true",
 "Country is Netherlands",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2025",
 "Month is one of (March, April, May, June, July, August)"
 ]
}

 The dataset includes 15810 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040239-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39qfve
title: Occurrence Download

description: A dataset containing 9421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephasoma minutum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9421 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040240-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhhhxw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.475 0.798184, 101.40473 0.792617, 101.336191 0.776051, 101.271071 0.748896, 101.210973 0.71182, 101.157378 0.665736, 101.111605 0.611779, 101.07478 0.551277, 101.047811 0.485722, 101.031361 0.416726, 101.025834 0.345989, 101.031367 0.275253, 101.047823 0.206259, 101.074797 0.140706, 101.111625 0.080207, 101.157399 0.026253, 101.210994 -0.019827, 101.271088 -0.056901, 101.336204 -0.084054, 101.404737 -0.100618, 101.475 -0.106185, 101.545263 -0.100618, 101.613796 -0.084054, 101.678912 -0.056901, 101.739006 -0.019827, 101.792601 0.026253, 101.838375 0.080207, 101.875203 0.140706, 101.902177 0.206259, 101.918633 0.275253, 101.924166 0.345989, 101.918639 0.416726, 101.902189 0.485722, 101.87522 0.551277, 101.838395 0.611779, 101.792622 0.665736, 101.739027 0.71182, 101.678929 0.748896, 101.613809 0.776051, 101.54527 0.792617, 101.475 0.798184))"},{"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/0040242-251120083545085/datasets/export for details.
DOI: 10.15468/dl.sp23gs
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula"
 ]
}

 The dataset includes 377 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040241-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/l88s4k
title: PAN-00175654 - pinch lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175654&lt;/p&gt;
description: Modified: 2025-10-28T13:26:01+01:00
DOI: 10.15468/dl.7b3ack
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephasoma rimicola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040244-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc5t379
title: CCDC 173080: Experimental Crystal Structure Determination

description: Related Article: M.Makha, P.J.Nichols, M.J.Hardie, C.L.Raston|2002|J.Chem.Soc.,Perkin Trans.1||354|doi:10.1039/b109625g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5t38b
title: CCDC 173081: Experimental Crystal Structure Determination

description: Related Article: M.Makha, P.J.Nichols, M.J.Hardie, C.L.Raston|2002|J.Chem.Soc.,Perkin Trans.1||354|doi:10.1039/b109625g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5t39c
title: CCDC 173082: Experimental Crystal Structure Determination

description: Related Article: M.Makha, P.J.Nichols, M.J.Hardie, C.L.Raston|2002|J.Chem.Soc.,Perkin Trans.1||354|doi:10.1039/b109625g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.e7h879
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.972 0.799184, 101.90173 0.793617, 101.833191 0.777051, 101.768071 0.749896, 101.707973 0.71282, 101.654378 0.666736, 101.608604 0.612779, 101.57178 0.552277, 101.544811 0.486722, 101.528361 0.417726, 101.522834 0.346989, 101.528367 0.276253, 101.544823 0.207259, 101.571797 0.141706, 101.608625 0.081207, 101.654399 0.027253, 101.707994 -0.018828, 101.768088 -0.055901, 101.833204 -0.083054, 101.901737 -0.099618, 101.972 -0.105185, 102.042263 -0.099618, 102.110796 -0.083054, 102.175912 -0.055901, 102.236006 -0.018828, 102.289601 0.027253, 102.335375 0.081207, 102.372203 0.141706, 102.399177 0.207259, 102.415633 0.276253, 102.421166 0.346989, 102.415639 0.417726, 102.399189 0.486722, 102.37222 0.552277, 102.335396 0.612779, 102.289622 0.666736, 102.236027 0.71282, 102.175929 0.749896, 102.110809 0.777051, 102.04227 0.793617, 101.972 0.799184))"},{"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/0040246-251120083545085/datasets/export for details.
DOI: 10.15468/dl.2n9tgy
title: Occurrence Download

description: A dataset containing 84145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-120.048 -90,180 -90,180 36.72,-120.048 36.72,-120.048 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spinus lawrencei"
 ]
}

 The dataset includes 84145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040182-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/w79uii
title: PAN-00142686 - terra sigillata plate type Drag. 18/31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00142686&lt;/p&gt;
description: Modified: 2025-10-22T17:07:30+02:00
DOI: 10.5517/ccdc.csd.cc2qcmzq
title: CCDC 2513634: Experimental Crystal Structure Determination

description: Related Article: Elhadji Sékou MANE, Ibrahima Elhadji THIAM*, Ousmane DIOUF, James B. Orton|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qcp71
title: CCDC 2513673: Experimental Crystal Structure Determination

description: Related Article: Ousmane DIOUF, James B. Orton, Ibrahima Elhadji THIAM|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qcp82
title: CCDC 2513674: Experimental Crystal Structure Determination

description: Related Article: Alasane SOW, Ousmane DIOUF, James B. Orton, Ibrahima Elhadji THIAM*|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.q2mdv9
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephasoma wodjanizkii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040249-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16941781
title: Dataset_SKOS_OWL_RDF of Mxitar Gosh's Law Code (Armenian and English)

description: This dataset presents the digitally annotated corpus and semantic knowledge representation of Mkhitar Gosh’s Lawcode (Datastan Girq), based on the 1975 Classical Armenian edition edited by Khosrov Torosyan.It combines linguistic, legal, and ontological modeling to support comparative law, digital philology, and semantic web integration.

The corpus is encoded as CSV (for text analysis) and SKOS RDF (TTL) (for linked-data representation).The data are enriched through the METEOR ontology workflow, which structures and visualizes Armenian legal terminology (Articles 242–247) using SKOS and OWL principles.

Contents

1️⃣ Core Corpus Files





M.Gosh_Girq Datastani__annotated_corpus_UTF8 (1).csv — Chapter-level corpus (Grabar Armenian, Modern Armenian, English translations, legal categories)




Gosh_SKOS_full (1).ttl — SKOS RDF Turtle file (251 chapters, URI-based concepts, multilingual labels, thematic relations)




Gosh_SKOS_Zenodo_Explanatory.pdf — Documentation of the data structure and SKOS fields



2️⃣ Supplementary METEOR Appendices (Articles 242–247)





Appendix 1 – Term extraction and semantic clustering (roles, objects, actions, sanctions)

METEOR_APPENDIX_1_term extracti…




Appendix 2 – Ontology Classes table (CSV)




Appendix 3 – Comparative sample translations (Grabar ↔ Modern Armenian ↔ English)

METEOR_APPENDIX_3. conparative …




Appendix 4 – RDF Graph visualization (PNG)




Appendix 5 – SKOS/OWL representation of Article 247 and OntoGraf visual schema

METEOR_APPENDIX 5_Art247_SKOS_O…

METEOR_APPENDIX 5_Art247_SKOS_O…




METEOR_Art247_ontograf_like.png – OntoGraf-style diagram for Article 247



3️⃣ Documentation Files





README.md — Overview, structure, and citation instructions




CITATION.cff — Machine-readable citation metadata



 

Purpose

This resource supports:





Comparative legal linguistics and philology




Machine translation and alignment training




Semantic annotation (SKOS/OWL, RDF linked data)




Digital humanities and heritage research
DOI: 10.5281/zenodo.16941782
title: Dataset_SKOS_OWL_RDF of Mxitar Gosh's Law Code (Armenian and English)

description: This dataset presents the digitally annotated corpus and semantic knowledge representation of Mkhitar Gosh’s Lawcode (Datastan Girq), based on the 1975 Classical Armenian edition edited by Khosrov Torosyan.It combines linguistic, legal, and ontological modeling to support comparative law, digital philology, and semantic web integration.

The corpus is encoded as CSV (for text analysis) and SKOS RDF (TTL) (for linked-data representation).The data are enriched through the METEOR ontology workflow, which structures and visualizes Armenian legal terminology (Articles 242–247) using SKOS and OWL principles.

Contents

1️⃣ Core Corpus Files





M.Gosh_Girq Datastani__annotated_corpus_UTF8 (1).csv — Chapter-level corpus (Grabar Armenian, Modern Armenian, English translations, legal categories)




Gosh_SKOS_full (1).ttl — SKOS RDF Turtle file (251 chapters, URI-based concepts, multilingual labels, thematic relations)




Gosh_SKOS_Zenodo_Explanatory.pdf — Documentation of the data structure and SKOS fields



2️⃣ Supplementary METEOR Appendices (Articles 242–247)





Appendix 1 – Term extraction and semantic clustering (roles, objects, actions, sanctions)

METEOR_APPENDIX_1_term extracti…




Appendix 2 – Ontology Classes table (CSV)




Appendix 3 – Comparative sample translations (Grabar ↔ Modern Armenian ↔ English)

METEOR_APPENDIX_3. conparative …




Appendix 4 – RDF Graph visualization (PNG)




Appendix 5 – SKOS/OWL representation of Article 247 and OntoGraf visual schema

METEOR_APPENDIX 5_Art247_SKOS_O…

METEOR_APPENDIX 5_Art247_SKOS_O…




METEOR_Art247_ontograf_like.png – OntoGraf-style diagram for Article 247



3️⃣ Documentation Files





README.md — Overview, structure, and citation instructions




CITATION.cff — Machine-readable citation metadata



 

Purpose

This resource supports:





Comparative legal linguistics and philology




Machine translation and alignment training




Semantic annotation (SKOS/OWL, RDF linked data)




Digital humanities and heritage research
DOI: 10.5281/zenodo.17864775
title: A machine learning framework for sea surface salinity prediction at daily and hourly scales

description: lstm_vmd_parallel_sss.pyPython script implementing an LSTM model combined with Variational Mode Decomposition (VMD) for predicting sea-surface salinity (SSS).




salt_actual_preds_2020.ncNetCDF file containing actual and LSTM-predicted daily sea-surface salinity over the Bay of Bengal for the year 2020.


Obs_mooring_data_17.8n89.5e.csvIn-situ mooring measurements of sea-surface salinity recorded at 17.8° N, 89.5° E from January to May 2020.



sss_predictions_mooring_may2020.csvHourly predictions of sea-surface salinity from lstm model at 17.8° N, 89.5° E for May 2020.
DOI: 10.5281/zenodo.17864776
title: A machine learning framework for sea surface salinity prediction at daily and hourly scales

description: lstm_vmd_parallel_sss.pyPython script implementing an LSTM model combined with Variational Mode Decomposition (VMD) for predicting sea-surface salinity (SSS).




salt_actual_preds_2020.ncNetCDF file containing actual and LSTM-predicted daily sea-surface salinity over the Bay of Bengal for the year 2020.


Obs_mooring_data_17.8n89.5e.csvIn-situ mooring measurements of sea-surface salinity recorded at 17.8° N, 89.5° E from January to May 2020.



sss_predictions_mooring_may2020.csvHourly predictions of sea-surface salinity from lstm model at 17.8° N, 89.5° E for May 2020.
DOI: 10.15125/bath-01550
title: Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"

description: The dataset contains a single directory which includes the following files, supporting the associated publication "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach":

- Clust_multispeed_ptlabels.csv contains the cluster labels for each participant in the dataset derived from a previous associated publication: Rivadulla et al. (2024) "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy".

- MasterDataSheet.xlsx contains demographics, anthropometrics and physiological information from each of the participants. Participants have a unique identifier, preserving their anonymity.

- MasterDataSheet_column_naming.txt describes the column names and units in MasterDataSheet.xlsx

- Sess2_kinematics_data.npy contains a python dictionary storing the spatiotemporal (stride time and duty factor) and continuous kinematics variables (centre of mass vertical displacement for each participant and segment of the long run (start, mid, end). Participant codes, segment identifier and cluster labels are included in the misc key of the dictionary.

- Sess2_physio_data.npy contains a python dictionary storing the physiological variables collected for each participant during the long run.

Scripts to replicate the results of the study can be found in the associated "fatigue_runners" GitHub repository and they show how to access the data within these files.
description: This dataset includes motion capture and indirect calorimetry data. Full details on the systems and procedures used can be found in the associated publication.
description: The .npy files may be read with the NumPy Python library.
description: Further relevant documentation may be found in the following resources.

   Rivadulla, A. R., Chen, X., Cazzola, D., Trewartha, G., and Preatoni, E.,  2024.   Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy.    Sports Biomechanics, 1-24.  Available from: https://doi.org/10.1080/14763141.2024.2372608.
DOI: 10.15468/dl.r9x7vu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.095 0.804184, 102.02473 0.798617, 101.956191 0.7820510000000001, 101.891071 0.754896, 101.830973 0.71782, 101.777378 0.671736, 101.731604 0.617778, 101.69478 0.557277, 101.66781 0.491722, 101.65136 0.422726, 101.645834 0.351989, 101.651367 0.281253, 101.667823 0.212259, 101.694797 0.146706, 101.731625 0.08620700000000001, 101.777399 0.032253, 101.830994 -0.013828, 101.891088 -0.050901, 101.956204 -0.078054, 102.024737 -0.09461799999999999, 102.095 -0.100185, 102.165263 -0.09461799999999999, 102.233796 -0.078054, 102.298912 -0.050901, 102.359006 -0.013828, 102.412601 0.032253, 102.458375 0.08620700000000001, 102.495203 0.146706, 102.522177 0.212259, 102.538633 0.281253, 102.544166 0.351989, 102.53864 0.422726, 102.52219 0.491722, 102.49522 0.557277, 102.458396 0.617778, 102.412622 0.671736, 102.359027 0.71782, 102.298929 0.754896, 102.233809 0.7820510000000001, 102.16527 0.798617, 102.095 0.804184))"},{"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/0040250-251120083545085/datasets/export for details.