cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10156985
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.12772330
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10067237
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10073987
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10155289
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.12772681
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.12772752
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10071624
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10073722
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10144516
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10144681
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10156793
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.12772788
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10071832
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10073684
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10139500
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10474633
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10475235
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10040983
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10064887
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10066133
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10073631
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10144552
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10474549
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10144742
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10155210
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10155470
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.5281/zenodo.10156778
title: DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages

description: The DBnary dataset is an extract of Wiktionary data from many language editions in RDF Format. Since July 1st 2017, the lexical data extracted from Wiktionary is modelled using the Ontolex vocabulary.
This dataset contains all language data (in 2023, 25 language editions are supported) and contains one version per Wikimedia dump (one version twice a month).
DOI: 10.25403/upresearchdata.26321326
title: Stochastic volatility and correlated interest rates : American pricing compound options

description: We explore several explicit and alternating-direction implicit (ADI) finite difference methods for pricing compound options with early exercise opportunities. Stock prices, stock price volatilities, and interest rates are assumed to follow correlated stochastic processes.
DOI: 10.25403/upresearchdata.26321326.v1
title: Stochastic volatility and correlated interest rates : American pricing compound options

description: We explore several explicit and alternating-direction implicit (ADI) finite difference methods for pricing compound options with early exercise opportunities. Stock prices, stock price volatilities, and interest rates are assumed to follow correlated stochastic processes.
DOI: 10.15468/dl.8hwngj
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Teucrium edetanum M.B.Crespo, Mateo & T.Navarro",
 "InstitutionCode is BDBCV"
 ]
}

 The dataset includes 219 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028891-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwbam7
title: Occurrence Download

description: A dataset containing 91317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetrax tetrax (Linnaeus, 1758)"
 ]
}

 The dataset includes 91317 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028889-240626123714530/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.26325541
title: <b>Research on the Measurement and Countermeasures of Regional Industrial Synergy Development: Take "One Region, Two Clusters" in Chongqing as an Example</b>

description: Planning a region to serve a broader context involves promoting industrial synergy between the "one region, two clusters," which is crucial for fostering coordinated regional development in Chongqing. This paper employs the composite system synergy model, location entropy, and other methods to systematically analyze the orderliness of industrial subsystems and the level of industrial synergy development in Chongqing's "one region, two clusters," a typical "dual economic structure." The findings indicate the following: (1) The orderliness and development levels of industrial systems in the three regions exhibit significant differences. (2) The level of industrial synergy within the "one region, two clusters" composite system is unstable, having reached a low point in 2020, with considerable potential for improvement. (3) There are notable industrial isomorphisms and unreasonable industrial divisions within the "two clusters." However, the nine districts of the main city and neighboring regions within the "one region" can form complementary advantages. Consequently, it is recommended to enhance unified planning and guidance, leverage comparative advantages, and strengthen cross-regional cooperation to promote the coordinated development of Chongqing Municipality.
DOI: 10.6084/m9.figshare.26325541.v1
title: <b>Research on the Measurement and Countermeasures of Regional Industrial Synergy Development: Take "One Region, Two Clusters" in Chongqing as an Example</b>

description: Planning a region to serve a broader context involves promoting industrial synergy between the "one region, two clusters," which is crucial for fostering coordinated regional development in Chongqing. This paper employs the composite system synergy model, location entropy, and other methods to systematically analyze the orderliness of industrial subsystems and the level of industrial synergy development in Chongqing's "one region, two clusters," a typical "dual economic structure." The findings indicate the following: (1) The orderliness and development levels of industrial systems in the three regions exhibit significant differences. (2) The level of industrial synergy within the "one region, two clusters" composite system is unstable, having reached a low point in 2020, with considerable potential for improvement. (3) There are notable industrial isomorphisms and unreasonable industrial divisions within the "two clusters." However, the nine districts of the main city and neighboring regions within the "one region" can form complementary advantages. Consequently, it is recommended to enhance unified planning and guidance, leverage comparative advantages, and strengthen cross-regional cooperation to promote the coordinated development of Chongqing Municipality.
DOI: 10.25921/ts12-kq66
title: Punta Arenas, Chile weather observations; Dec 1896 to Dec 1954 (NCEI Accession 0294317)

description: Surface Observations from Punta Arenas, in extreme southern Chile. WMO station ID 85934; Period of record 1896-1954. The original forms were scanned at the Museo Salesiano Maggiorino Borgatello, a private regional museum in Punta Arenas with funding provided by NOAA, and keyed by a NOAA contractor. These data can be used to fill in missing data in the GHCN record for station GHCN ID CIN00520006. These data consist of three observations per day plus daily data for every day of the year for most years. Daily data elements are daily maximum and minimum air temperature, daily precipitation, and snow depth. Three-times daily elements are Air Pressure, Temperature, Wet Bulb Temperature, Wind Direction and Wind Speed, Cloud amount, and Visibility.
DOI: 10.15468/dl.bstq6e
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Arianta arbustorum (Linnaeus, 1758)"
 ]
}

 The dataset includes 232 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028893-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzwepu
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anisotes zenkeri (Lindau) C.B.Clarke"
 ]
}

 The dataset includes 34 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028894-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11282791
title: Data and STL files supporting article: Encoding Quadrupolar Capillary Information into Saddle- Shaped Objects for Advanced Self-Assembly

description: Data and STL files supporting the article entitled: Encoding Quadrupolar Capillary Information into Saddle-Shaped Objects for Advanced Self-Assembly

Text files for Figures 3 and 5 are the raw positions and orientations of the particles extracted frame by frame from experimental videos. 

Text files for Figure 4 are the liquid elevation around objects.
DOI: 10.5281/zenodo.11652778
title: Data and STL files supporting article: Encoding Quadrupolar Capillary Information into Saddle- Shaped Objects for Advanced Self-Assembly

description: Data and STL files supporting the article entitled: Encoding Quadrupolar Capillary Information into Saddle-Shaped Objects for Advanced Self-Assembly

Text files for Figures 3 and 5 are the raw positions and orientations of the particles extracted frame by frame from experimental videos. 

Text files for Figure 4 are the liquid elevation around objects.

The image is a picture of the experimental particle using a Moiré method to highlight the shape of the meniscus.
DOI: 10.15468/dl.45gsf5
title: Occurrence Download

description: A dataset containing 5623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Empoasca fabae (Harris, 1841)"
 ]
}

 The dataset includes 5623 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028895-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zp7pbz
title: Occurrence Download

description: A dataset containing 556449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetName is Macro-moth Data L. Reser 1972/2021",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 556449 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028866-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25607/e6acsm
title: Ricerche sulla malacofauna della Riserva Naturale di Scandola (Corsica Nord-occidentale)

description: This dataset contains species observations from the report Ricerche sulla malacofauna della Riserva Naturale di Scandola (Corsica Nord-occidentale). Trav. Sci. Parc Nat. R?g. Res. Nat. Corse, Fr, 34 : 1-73 (1992). Supplemento al Rapporto della 43 Missione di Scandola diretta dal Prof. Charles Fran?ois BOUDOURESQUE, Luglio 1989.
DOI: 10.15468/dl.43e5xg
title: Occurrence Download

description: A dataset containing 67401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Japan, Korea, Republic of, Korea (Democratic People’s Republic of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Odonata"
 ]
}

 The dataset includes 67401 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028896-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12749243
title: MODES DATA - Hough functions and frequencies - 1 v3
DOI: 10.5281/zenodo.12749244
title: MODES DATA - Hough functions and frequencies - 1 v3